Exllamav3 Github Jobs in Usa
165 positions found — Page 6
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
A little about us...
Role: Mobile Automation Testing Lead
Location: Detroit, MI (Hybrid- 3 days/week)
Job Description:
Key Responsibilities
- Experience: 10–14 Years.
- Define and own the mobile test automation strategy for iOS and Android applications
- Lead automation design, framework selection, and implementation
- Manage and mentor a team of mobile QA and automation engineers
- Collaborate with onsite development, DevOps, and product teams
- Design and maintain scalable, reusable automation frameworks
- Drive automation for functional, regression, smoke, and sanity testing
- Integrate automation suites into CI/CD pipelines
- Ensure coverage across real devices, emulators, and cloud device farms
- Review test cases, automation scripts, and execution reports
- Track quality metrics, defect trends, and release readiness
- Handle production issues, defect triage, and root cause analysis
- Ensure compliance with quality standards, processes, and best practices
Technical Skills
- Strong experience in mobile automation tools (Appium, Espresso, XCUITest)
- Proficiency in Java, Python, or JavaScript for automation scripting
- Experience with BDD frameworks (Cucumber, TestNG, JUnit)
- Hands-on knowledge of API testing and backend validation
- Experience with cloud testing platforms (BrowserStack, Sauce Labs, Firebase Test Lab)
- Familiarity with CI/CD tools (Jenkins, Azure DevOps, GitHub Actions)
- Knowledge of performance and security testing
Non-Technical Skills
- Strong onsite coordination and leadership abilities
- Excellent communication with clients, business users, and technical teams
- Experience in Agile QA processes and sprint-based delivery
- Ability to influence quality culture and drive shift-left testing
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Kelly Government Solutions has an opening for a Biomedical AI Imaging Scientist to support the Integrated Research Facility at the National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) in Frederick, MD. Role is estimated to support work arrangement that is primarily on-site with flexibility for remote work if/when authorized.
This is a long-term contract position which offers:
- Competitive compensation and comprehensive benefit package
- Optional health, vision, and dental plans
- Paid leave, paid federal holidays, and 401K plan.
- Access to NIH's unparalleled resources and niche scientific initiatives
KEY TASKS
(1) Support imaging scientists with acquisition of imaging data and conduct research as directed by NIAID involving and related to imaging and artificial intelligence in support of the Integrated Research Facility (IRF) in Frederick, MD
(2) Consult with scientific staff and NIAID leadership to ensure data meets scientific objectives; coordinate overall study logistics with other core laboratory services.
(3) Analyze and interpret imaging data from various modalities to support research studies on select agent viruses.
(4) Develop, train, and validate machine learning and deep learning models for image segmentation, feature extraction, and quantification tasks.
(5) Collaborate with the imaging team to design and implement new algorithms or modify existing ones to improve image analysis accuracy and efficiency.
(6) Generate reports and visualizations to communicate findings and trends in imaging data to researchers and stakeholders.
(7) Stay updated with advancements in AI and image analysis techniques relevant to biomedical research and apply this knowledge to enhance IRF capabilities.
(8) Work closely with the other functional area leads at the IRF to integrate imaging analysis results with other data for a comprehensive understanding of viral pathogenesis.
(9) Ensure compliance with all safety protocols and procedures while working in a BSL-4 environment.
(10) Provide guidance on experimental design and implementation and strives to quickly resolve problems; publish results in peer-reviewed journals.
(11) Communicate progress or problems with approved programs and projects to leadership.
KEY REQUIREMENTS
(1) Ph.D. in Computer Science, Biomedical Engineering, Bioinformatics, or a related field with a focus on artificial intelligence, machine learning, or image processing. Candidates possessing master's degree and relevant experience may also be considered.
(2) Experience analyzing multimodality imaging scans, such as parametric image analysis of MRI data
(3) Strong theoretical foundations in machine learning, deep learning, and image analysis techniques with experience working with biomedical imaging data.
(4) Proficiency in programming languages such as Python, R, or MATLAB along with experience using popular deep learning frameworks like TensorFlow, PyTorch, or Keras.
(5) Familiarity with biomedical imaging data and experience working with image processing libraries such as OpenCV or ITK-SNAP.
(6) Experience with radiomic feature extraction and application to machine learning, feature selection methods such as mRMR, and working with a high-performance computing environment and GitHub repositories
Technical Recruiter – Part‐Time (20 hrs/week) | 100% Remote
Location: Remote (Candidates must be based in San Francisco or San Diego, CA)
Duration: 12+ Month Contract (Extension possible based on performance)
Schedule: Monday – Friday | Part‐Time (20 hours/week)
Korean Bilingual Required
About the Role
We are seeking an experienced Sr. Technical Recruiter / Technical Sourcer who is Bilingual in Korean and English to support hiring across a wide range of technical disciplines. This is a highly collaborative role partnering closely with Engineering and Leadership teams to build strong talent pipelines for hardware, software, AI/ML, and emerging technology functions.
You will drive sourcing efforts for both individual contributor and Director+ engineering leadership positions, focusing on proactive pipeline development and high‐quality candidate engagement.
Key Responsibilities
- Develop and execute multi‐channel sourcing strategies to attract top technical talent.
- Build and maintain a strong network of passive candidates with deep market insights and industry research.
- Partner with hiring managers to align sourcing strategy with role needs and business priorities.
- Communicate professionally in both Korean and English, supporting hiring teams and candidates as needed.
- Promote employer brand and leverage advanced sourcing platforms, communities, and tools.
- Track and optimize sourcing performance, including outreach, funnel metrics, and pipeline conversion.
- Apply diversity‐focused sourcing techniques to expand talent reach.
- Conduct initial candidate screenings and act as a consultative partner throughout the recruiting process.
- Collaborate effectively with recruiters, coordinators, and cross‐functional partners to ensure a seamless hiring experience.
Required Skills & Qualifications
- 5+ years of technical sourcing experience within an advanced technology organization.
- Bilingual fluency in Korean and English (Required).
- Strong experience sourcing Software Engineers, Hardware/Design Engineers, AI/ML talent, Data Scientists, and Computer Vision experts.
- Proven ability to recruit for Director‐level and above technical leadership roles.
- Strong track record sourcing candidates from LinkedIn, GitHub, Slack communities, and niche technical platforms.
- Excellent written communication skills and ability to craft compelling outreach emails.
- Highly self‐motivated with strong organizational and prioritization skills.
- Ability to thrive in a fast‐paced environment with minimal supervision.
- Strong collaboration, communication, and stakeholder‐management skills.
- Bachelor's degree preferred (or equivalent experience in talent acquisition/recruiting).
General Recruiter Responsibilities
- Build and maintain strong relationships with hiring managers and stakeholders.
- Conduct targeted searches using databases, networks, referrals, and direct sourcing efforts.
- Interview applicants to assess skills and qualifications.
- Maintain accurate and compliant hiring documentation.
- Communicate hiring updates and selection outcomes to candidates.
- Educate candidates on company culture, opportunities, and benefits.
Education
- Bachelor's degree in Human Resources, Business, or related field preferred
- Equivalent experience in recruitment or talent sourcing will be considered
Title: Full Stack Developer with AI
Duration: 12 Months+
Location: Spring, TX
Type: Onsite
We are seeking a Full Stack Developer who will contribute to building scalable backend services including platform and utility modules application. You will also play an active role in implementing GenAI use cases using modern agentic frameworks.
You will collaborate with product owner, trading fusion developers, data engineers, and other full stack developers across regions.
Responsibilities?:?
- Platform Engineering & Support
- Develop, enhance, and support components of the Global Trading App platform
- Implement monitoring, alerting, and telemetry capabilities using modern observability tools
- Improve platform reliability, scalability, and performance through proactive engineering
- Author infrastructure-as-code using Terraform for cloud resources
Application & Service Development
- Build secure and scalable backend APIs (primarily in Python / FastAPI)
- Create responsive and efficient React-based UI components
- Develop reusable utility modules for fusion teams to accelerate delivery
GenAI & Agentic Solutions
- Implement GenAI-powered features using LLMs, vector databases, and multi-agent frameworks
- Develop "agentic" workflows for automation, troubleshooting, and developer productivity
- Build model integration and evaluation
Collaboration & Standards
- Contribute to engineering best practices and documentation
- Work closely with global trading fusion teams to ensure alignment and technical excellence
Qualifications?:
- Python (advanced): APIs, data processing, async programming
- React: modern component-based UI development
- FastAPI: building high performance backend services
- DBT: data engineering and transformation
- GitHub/CI/CD: strong version control and build pipeline experience
Preferred Skills:
- Terraform, Azure, AWS: infrastructure provisioning and automation
- Databricks, Snowflake
- GenAI / Multi-Agent
- Experience implementing solutions using LLMs, embeddings, prompt engineering
- Familiarity with agentic coding frameworks (e.g., LangChain, AutoGen, OpenAI agents, etc.)
- Understanding of RAG, model orchestration, and AI application patterns
Soft Skills:
- Strong problem-solving skills and ownership mindset
- Ability to work in global, cross-functional teams
- Clear communication and documentation abilities
- Comfort operating in fast-paced, high-availability environments
- Adaptability and willingness to learn new technologies and methodologies
Hiring: Sr Project Engineer / Technical SW Project Manager – Medical Device
Location: Minneapolis, Minnesota (Fully Onsite)
Type: W2 (Contract to Hire)
We are hiring a Senior Software Engineer (Mobile Project Lead) to drive end-to-end delivery of mobile software releases for an innovative company. This role blends hands-on Android development with technical project leadership in a regulated medical device environment.
Key Responsibilities:
Own complete mobile software release execution
Lead backlog refinement, sprint planning & release planning
Translate product requirements into structured user stories
Track Agile metrics and drive execution discipline
Collaborate with Product, Dev & Test teams
Ensure compliance with quality systems & regulatory standards
Must-Have Skills:
8+ years of mobile application delivery experience
Strong Android development (Kotlin or Java)
Hands-on mobile software development experience
Experience in Agile/Sprint environments
Backlog management & release ownership
Technical software project management
Mobile testing & quality practices
Strong leadership & cross-functional collaboration.
Nice to Have:
Kotlin Multiplatform (KMM)
DevOps tools (GitHub, GitLab)
CI tools (Jenkins, Bamboo)
Experience with iOS
ALM tools like PTC Codebeamer.
About Finta
Have you tried renewing a driver’s license online? The site looks stuck in 2000, it is confusing and slow. That is how most accounting and tax software still feels. The space is crowded with sales teams who rely on fear to close deals, and the result is bad experiences justified by “compliance.”
Finta is changing that. We automate bookkeeping, file taxes quickly and compliantly, and give companies real-time financial metrics. Our goal is simple: to remove the manual, tedious parts of finance so that smart people can focus on hard problems.
We raised $2M from Y Combinator, Mercury’s CEO, leaders at Mercury, Brex, and Ramp. Since launching in 2023, we have grown organically through word of mouth and now serve hundreds of paying customers. See what they say at ’re looking for a Founding Design Engineer to raise the bar on how Finta looks and feels. You’ll sit at the intersection of design and engineering, someone who obsesses over animation curves, spacing, and interaction details, and also ships production code.
You won’t be designing in Figma and handing off specs. You’ll be designing in the browser, building the components and systems that make Finta feel like the best software our customers have ever used.
This is a founding role. You’ll be one of the first people shaping how Finta feels, and you’ll have an outsized impact on the product, the brand, and the culture of craft at the company. Over time, you’ll have the opportunity to build and lead the design engineering function as we grow.
What you’ll do
- Build and evolve Finta’s design system: the components, tokens, patterns, and motion language that everything is built on
- Ship polished, production-ready UI across product, marketing, and our website
- Create reusable building blocks like data tables, filters, navigation, loading states, animations, and interactive patterns
- Bring modern interaction design to a Rails codebase with fluid transitions, micro-interactions, and the kind of craft you see in tools like Linear, Cursor, and Vercel
- Explore what’s possible at the edge of UI in the age of AI: streaming interfaces, agent status patterns, real-time feedback, and new interaction paradigms
- Work directly with the CEO and engineering team to shape what we build and how it feels
- Set the quality bar for every pixel that ships
- Influence product direction, not just execution. You’ll have a voice in what we build, not just how it looks.
You’ll be a good fit if you
- Have deep expertise in HTML, CSS, and JavaScript. You think in the browser, not in abstractions.
- Have production experience with server-rendered stacks: Rails, Hotwire, Turbo, Stimulus, Tailwind, ViewComponent, or similar
- Obsess over details like animation timing, easing curves, hover states, spacing, and color. The things most people don’t notice but everyone feels.
- Use AI tools daily to move faster (Cursor, Claude, Conductor, or similar) and can show real examples of shipping with them
- Have a strong visual eye and design sensibility, even if your title has always been “engineer”
- Can point to work you’ve shipped that made people say “damn, this feels good”
- Ship fast and iterate. You’d rather put something real in front of users than polish a mockup.
- Are excited about being early. You want to define the standard, not follow one.
Why join
- Design is at the heart of everything we do. This isn’t a company where engineering overrules design.
- You’ll define the design system and quality bar from the ground up
- Ship consequential work used by hundreds of startups
- Join a small, mission-driven team that values craft and user experience
- 10+ years of runway backed by top investors
- Real ownership and influence over product direction, architecture, and early hiring decisions
You should NOT join Finta if:
- You prefer designing in Figma and handing off to engineers
- You think animations and micro-interactions are unnecessary polish
- You think trying new tools like Paper is a waste of your time
- You prefer non-AI tools and stay away from MCPs
- You prefer heavy structure and narrow scope
- You’re not excited about AI or what it means for product interfaces
- You need step-by-step direction
- You’re looking for a remote job to coast
Tools and stack
- Ruby on Rails with server-rendered views
- Hotwire (Turbo + Stimulus) for interactivity
- Tailwind CSS and ViewComponent for the design system
- GitHub, Linear, Figma, Paper, Slack
- AI tools: Cursor, Claude, Conductor, and whatever you want to use
Our values
- Simplicity: Be concise, clear, and efficient
- Endurance: Act with integrity and think long term
- Decisive: Bias for action and learn quickly
- Passion: Bring dedication and energy to the work
- Open minded: Hold strong opinions and question them rigorously
- Selfless: Set egos aside and win as a team
Compensation
- $120-$180k plus 1-3% equity
- Visa sponsorship and relocation support available.
- Medical, dental, and vision insurance
- Meals, gym membership, professional education benefits
- Monthly team events and annual company offsite
IMPORTANT
In addition to applying, please email andy at finta dot com with your proudest designs.
Company
KUIU is obsessed with engineering the world's most innovative performance hunting gear. Our founder, Jason Hairston, had a vision for hunting gear that pushed the boundaries of performance, ultralight weight, and technology development. KUIU lives that vision every day with our customers and employees.
As the QA Lead, this role is responsible for ensuring that all technology systems and digital experiences are thoroughly tested, reliable, and defect-free. Operating within a small, agile team, KUIU seeks a technically skilled quality assurance professional to champion QA excellence, proactively identify issues, and drive swift resolution to maintain high standards of performance and user satisfaction.
As a direct-to-consumer brand, KUIU expects to be on the leading edge of creating compelling digital experiences that deliver high user satisfaction, engagement, and conversion while delivering great insights to guide real-time decisions across the business. The right candidate for this role will have a bias for action and problem-solving that reflects the real-time needs of a customer-obsessed brand committed to delivering results every day.
Role Summary
As the QA Lead, this role is responsible for ensuring that all technology systems and digital experiences are thoroughly tested, reliable, and defect-free. Operating within a small, agile team, KUIU seeks a technically skilled quality assurance professional to champion QA excellence, proactively identify issues, and drive swift resolution to maintain high standards of performance and user satisfaction.
This role is expected to leverage AI-assisted tools and automation to scale QA impact, accelerate delivery, and improve quality outcomes without linear headcount growth.
Role and Responsibilities
KUIU seeks a QA Professional with Direct-to-Consumer retail experience. Reporting to the SVP of IT, the QA Lead will:
● Drive quality assurance strategy, planning, and execution across our technology ecosystem, using AI-assisted workflows to improve efficiency, coverage, and release confidence.
● Lead QA efforts with support of third-party development partners, fostering a culture of accountability, high performance, and continuous improvement.
● Define, implement, and refine testing standards, processes, and best practices, including the adoption of AI-enabled testing and analysis capabilities.
● Develop and maintain automated and manual test frameworks for web, mobile, POS, and backend systems, leveraging AI-assisted test generation, test maintenance, and regression optimization where appropriate.
● Collaborate closely with product managers, developers, and IT teams to align testing efforts with business goals, using AI-driven insights to identify risk areas and prioritize testing efforts.
● Ensure high-quality releases through rigorous functional, regression, performance, and security testing, augmented by AI-driven analysis to identify defects earlier in the development lifecycle.
● Log, track, and manage defect resolution through tools like Jira and other test management systems, using AI to detect defect patterns, root causes, and systemic quality risks.
● Provide visibility into quality metrics and release health to stakeholders across the organization, leveraging AI-generated insights to communicate risk, trends, and release readiness.
● Ensure adherence to QA SOPs and lead training/coaching initiatives where necessary, including upskilling teams on effective use of AI-assisted QA tools.
Professional Qualifications
● Excellent knowledge of IT systems
● 3+ years of quality assurance experience with at least 2 years in a lead or management role.
● Experience working in direct-to-consumer ecommerce environments (Shopify/Netsuite/Celigo a plus).
● Demonstrated experience in test automation (e.g., Selenium, Cypress) and CI/CD tools (e.g., Jenkins, GitHub Actions), with experience incorporating AI-assisted testing or analysis tools strongly preferred.
● Strong knowledge of software QA methodologies, tools, and processes, including modern approaches that leverage AI to improve effectiveness and speed.
● Proficiency in creating detailed, comprehensive, and well-structured test plans and cases, including the use of AI to accelerate test creation and maintenance.
● Excellent organizational skills and ability to manage multiple priorities in a fast-paced environment.
● BSc/BA in computer science, engineering, or a related field.
● Experience supporting global QA efforts across in-house, outsourced, and remote teams.
● Familiarity with ITIL, PCI, and general compliance practices is a plus.
● Demonstrated experience evaluating, implementing, or operationalizing AI-assisted tools to enhance QA productivity and quality outcomes.
Personal Characteristics
● Proactive communicator that defaults to transparency.
● Execution-focused operator with a strong bias toward results.
● Collaborative and effective at building cross-functional relationships.
● Passionate about delivering a flawless customer experience through technical excellence.
● Positive, can-do attitude and energized by problem-solving.
● A self-starter who thrives in dynamic, high-growth environments.
● Forward-thinking and curious, with a strong bias toward using AI to scale impact, automate repetitive work, and enable faster, higher-quality decision-making.
Senior Technical Support Engineer
Location: San Francisco, CA | Raleigh, NC | Dallas, TX | Boston, MA
Schedule: Hybrid – 3 days onsite required
Employment Type: 6-Month Contract-to-Hire
Pay Rate: $65–68/hour
Start Date: ASAP
About the Role
The Technical Solutions team is focused on advancing care and research innovation. We support new business initiatives by expanding product capabilities in strategic areas and delivering a scalable technical support framework across multiple product portfolios.
As a Senior Technical Support Engineer, you will partner closely with internal stakeholders to identify, reproduce, troubleshoot, and resolve complex technical issues. You will support infrastructure, permissions, and configuration changes while delivering high-level technical support and sustaining engineering services that help customers achieve meaningful business outcomes.
This role offers the opportunity to collaborate with customers, developers, architects, and operations teams to solve challenging, high-impact problems. You will also contribute to building support tooling and infrastructure to improve operational efficiency.
Travel up to 10% may be required.
Key Responsibilities
- Own and manage technical customer issues from identification through full resolution
- Reproduce and troubleshoot complex technical problems, including reviewing and analyzing code to determine root cause
- Project manage new client deployment issues through to completion
- Implement infrastructure, security, and permissions configuration changes
- Drive operational efficiencies by identifying improvements in process, tooling, and product functionality
- Develop playbooks and knowledge base documentation to streamline issue resolution
- Create internal reports and dashboards for issue tracking and performance monitoring
Minimum Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or related field
- Cloud operations experience (creating buckets, virtual machines, and managing security access controls/IAM)
- 3+ years of experience with Python or another object-oriented programming language
- 3+ years of experience working with SQL
- Experience troubleshooting data-related issues
- Proficiency with GitHub and Jira
- Strong troubleshooting skills with the ability to track complex technical details
- Excellent communication skills with the ability to translate technical findings for both senior developers and non-technical stakeholders
Preferred Qualifications
- 4+ years of experience in healthcare technology
- Experience supporting highly regulated software environments
- Experience with R
- Infrastructure-as-Code (IaC) experience such as Terraform, Ansible, or similar tools
- Self-starter mindset with strong ownership and a passion for driving issues through to resolution
Compensation
$170k-$225k
0.17%-1.04%
TLDR
We are growing fast, profitable, and need to hire a Founding Back End Engineer ASAP. This role is focused on selling Neon’s automation platform to healthcare and life sciences organizations, owning the full sales cycle from prospecting through close. Ideal candidates have enterprise SaaS sales experience, thrive in high-growth environments, and are motivated to build a category-defining company. You should have at least 4 years of experience.
Our Market
The crisis: Sarah delayed cancer treatment for weeks facing massive monthly costs. Marcus's autoimmune condition worsened while battling insurance denials.
Over 50% of critical prescriptions are abandoned due to:
- Cost barriers: Patients with high copays are 5x more likely to abandon treatment
- Insurance maze: Complex prior authorizations block access
- Logistical challenges: Coordinating medical visits for treatments
Neon's technology eliminates these obstacles by automating patient access workflows for pharma companies: —automating authorizations, streamlining benefits verification, and unlocking financial assistance.
Why Join?
- Frighteningly ambitious: We’re seasoned builders on a mission to create a $200B+ company—on the scale of Palantir or ServiceNow—serving the largest healthcare enterprises.
- Experienced founding team: Built by exited founders, YC & MIT alum, ex-Tesla, ex-Google engineers.
- Hypergrowth with stability: We went from initial idea to 7+ figure customer contracts in just 4 months—in an industry where sales cycles typically take 12-18 months. We are profitable and relentlessly focused on execution.
- Powerhouse backing: We’re funded by elite Silicon Valley VCs who've backed unicorns like DoorDash, Lyft, and Mammoth Biosciences. And strategic healthcare investors with deep industry connections.
- Outsized impact & opportunity: Work at the intersection of agentic AI, healthcare transformation, and life-changing patient outcomes.
Required Skills
Technical skills:
- Proficiency with Node, Typescript, and Python.
- Good understanding of system design concepts - distributed systems, reliability/performance tradeoffs
- Experience in API design, implementation, and documentation
- Experience using AI coding tools (Cursor, Github Copilot, Claude, etc)
- Experience working with CI/CD systems and good DevOps skills a nice to have
- Excellent documentation and testing habits
- Proficiency with version control (Git)
Soft skills:
- 10x mindset - you’ll be among the first engineering hires!
- You are a fun human!
- Good time management and planning skills
Experience
4-7 years of experience (or equivalent) as a software engineer.
We’re leveling this role to Pave’s “P4” level: Leads project teams, provides direction, and keeps stakeholders informed. Determines key milestones and provides updates and check-ins to relevant teams and partners.
- You are able to work with the rest of the team to:
- Define priorities
- Suggest good solutions
- Excel at implementation
- You pick up concepts quickly, pattern match on past problems.
- You are obsessed with speed and quality, and help embed that quality into the rest of the team.
- You are self-directed, and do not need help organizing / prioritizing your time.
Specific project experience
- Nice if you have worked on distributed architectures in the past, but not a strict requirement.
- You must have experience working on projects touching many parts of a large codebase.
Compensation
$170k-$225k
0.17%-1.04%
TLDR
We are growing fast, profitable, and need to hire a Founding Back End Engineer ASAP. This role is focused on selling Neon’s automation platform to healthcare and life sciences organizations, owning the full sales cycle from prospecting through close. Ideal candidates have enterprise SaaS sales experience, thrive in high-growth environments, and are motivated to build a category-defining company. You should have at least 4 years of experience.
Our Market
The crisis: Sarah delayed cancer treatment for weeks facing massive monthly costs. Marcus's autoimmune condition worsened while battling insurance denials.
Over 50% of critical prescriptions are abandoned due to:
- Cost barriers: Patients with high copays are 5x more likely to abandon treatment
- Insurance maze: Complex prior authorizations block access
- Logistical challenges: Coordinating medical visits for treatments
Neon's technology eliminates these obstacles by automating patient access workflows for pharma companies: —automating authorizations, streamlining benefits verification, and unlocking financial assistance.
Why Join?
- Frighteningly ambitious: We’re seasoned builders on a mission to create a $200B+ company—on the scale of Palantir or ServiceNow—serving the largest healthcare enterprises.
- Experienced founding team: Built by exited founders, YC & MIT alum, ex-Tesla, ex-Google engineers.
- Hypergrowth with stability: We went from initial idea to 7+ figure customer contracts in just 4 months—in an industry where sales cycles typically take 12-18 months. We are profitable and relentlessly focused on execution.
- Powerhouse backing: We’re funded by elite Silicon Valley VCs who've backed unicorns like DoorDash, Lyft, and Mammoth Biosciences. And strategic healthcare investors with deep industry connections.
- Outsized impact & opportunity: Work at the intersection of agentic AI, healthcare transformation, and life-changing patient outcomes.
Required Skills
Technical skills:
- Proficiency with Node, Typescript, and Python.
- Good understanding of system design concepts - distributed systems, reliability/performance tradeoffs
- Experience in API design, implementation, and documentation
- Experience using AI coding tools (Cursor, Github Copilot, Claude, etc)
- Experience working with CI/CD systems and good DevOps skills a nice to have
- Excellent documentation and testing habits
- Proficiency with version control (Git)
Soft skills:
- 10x mindset - you’ll be among the first engineering hires!
- You are a fun human!
- Good time management and planning skills
Experience
4-7 years of experience (or equivalent) as a software engineer.
We’re leveling this role to Pave’s “P4” level: Leads project teams, provides direction, and keeps stakeholders informed. Determines key milestones and provides updates and check-ins to relevant teams and partners.
- You are able to work with the rest of the team to:
- Define priorities
- Suggest good solutions
- Excel at implementation
- You pick up concepts quickly, pattern match on past problems.
- You are obsessed with speed and quality, and help embed that quality into the rest of the team.
- You are self-directed, and do not need help organizing / prioritizing your time.
Specific project experience
- Nice if you have worked on distributed architectures in the past, but not a strict requirement.
- You must have experience working on projects touching many parts of a large codebase.
Are you an experienced Machine Learning Scientist with a desire to excel? If so, then Talent Software Services may have a job for you! Our client is seeking an experienced Machine Learning Scientist for a contract-to-hire role at their company in South San Francisco, CA.
Position Summary: In the Structure and Simulation team within Prescient Design, we develop modern computational methods to accelerate therapeutic discovery across clients' Research and Early Development (gRED). Methods we deploy propose new molecules, score designs to prioritize the most promising compounds, generate biological hypotheses through exploratory simulation, accelerate physics-based calculations, and more. We are seeking a highly motivated Machine Learning Scientist to join our team to develop new scientific methodology and produce and deploy workflows usable by computational and, ultimately, wet-lab scientists. The successful candidate will collaborate extensively with computational and experimental researchers within Prescient Design and across gRED to advance our scientific understanding of biomolecules.
Primary Responsibilities/Accountabilities:
- Work as a machine learning scientist to develop new scientific methodology for the understanding, scoring, ranking, generation, and design of biomolecules, especially proteins.
- Work as an engineer of scientific software, to produce usable, deployable code for these new methods to power the lab-in-the-loop.
- Use software best practices (version control, testing, modular code development, documentation, etc.) to collaborate on a large codebase with our team of methods developers.
- Deploy workflows on HPC and cloud platforms and deliver user-friendly web-based interfaces to medicinal chemists across gRED and Roche.
Qualifications:
- BS, MS, or PhD degree in a life or physical science or a computational field.
- Expert in Python and experience with scientific software development.
- Experience with deploying software workflows on cloud and/or HPC platforms.
- Experience working on collaborative code bases, including merge requests, code review, writing tests etc.
- Highly motivated and independent self-starter who is eager to collaborate.
- Excellent communication and interpersonal skills.
- Basic understanding of modern machine learning methods, including predictive models, generative models, and active learning, as applied to molecular generation and optimization.
Preferred:
- Candidates may additionally have, but are not required to have:
- Public portfolio of projects available on GitHub.
- Experience with Rosetta, OpenMM, and/or computational chemistry codes.
- 3+ years of industry experience.
- Extensive experience working with large chemical and biological datasets, including graph, sequence, and structure-based data.
6 Month Contract to Hire
Onsite 3 days/week – Hartford, CT
$55/hr-$65/hr
Must‑Have Qualifications
- Strong experience as a full stack developer delivering complex, enterprise‑scale applications
- Hands‑on experience designing and implementing conversational AI solutions using IBM WatsonX Orchestrate or similar platforms (Dialogflow CX, Amazon Lex, , LivePerson)
- Proficiency in NodeJS/TypeScript and Java with Spring, building RESTful web services
- Solid understanding of scalable architecture patterns, data lifecycle management, and cloud‑native development
- Experience developing and deploying microservices on OpenShift or comparable container platforms
- Strong Agile experience, including breaking down user stories into tasks and estimating work within a SAFe delivery model
- Strong collaboration and communication skills across co‑located, cross‑functional teams
Nice‑to‑Have Qualifications
- Experience with Angular, React, HTML, CSS, JSP, or Python
- Familiarity with Speech‑to‑Text tuning and SSML for text‑to‑speech refinement
- Exposure to analytics and data platforms such as Tableau, Alation, DataRobot, or Trifacta
- Experience with CI/CD pipelines using tools such as Jenkins, GitHub, or Octopus
- Strong business acumen and interest in emerging AI and conversational technologies
Day‑to‑Day
In this role, you will design, build, test, and deploy conversational AI solutions that deliver accurate, scalable, and context‑aware chatbot and voice experiences. You will participate in feature and user story refinement sessions, translate requirements into technical implementations, and develop conversational flows that integrate with enterprise APIs, cloud functions, and backend systems. You will collaborate closely with product managers, UI/UX designers, backend engineers, and other developers to ensure seamless end‑to‑end delivery. On a daily basis, you will troubleshoot, debug, tune, and optimize conversational agents across multiple channels, apply clean coding standards, and continuously improve conversational accuracy using NLP and training data best practices.
Our Ideal Candidate
We are seeking an experienced cloud and DevOps engineer with over 5 years of experience designing, automating, and maintaining scalable AWS infrastructure, CI/CD pipelines, and secure cloud environments. In the role of Senior Cloud Platform Engineer, you should demonstrate expertise in Infrastructure as Code, scripting, containerization, and modern monitoring or alerting platforms, as well as strong skills working across teams. Success in this position requires a talent for optimizing cloud resources, ensuring security and compliance, and facilitating fast, reliable software deployments. Having experience with HIPAA-compliant systems, .NET platforms, or serverless computing is considered a significant advantage.
Responsibilities
- Design, implement, and maintain CI/CD pipelines using tools like AWS CDK, AWS CodePipeline, or GitHub Actions.
- Manage infrastructure as code (IaC) using Terraform, CloudFormation, or similar tools.
- Monitor system performance and availability using tools like CloudWatch, Prometheus, Grafana, or Datadog.
- Automate repetitive tasks and deployment processes to improve team efficiency.
- Collaborate with software engineers, QA, and product teams to ensure smooth deployments and rapid iteration.
- Implement and enforce security best practices and compliance across infrastructure and deployment pipelines.
- Identify optimizations to reduce cloud resource usage across AWS accounts.
- Maintain documentation for infrastructure, processes, and compliance requirements.
- Work with multiple teams to implement their deployments using common practices.
- Manage Builds and the corresponding documentation
- Monitor package versions, track EOL dates, and upgrade to keep infrastructure current
Qualifications
- B.S. Computer Science degree or equivalent experience.
- 5+ years of experience in DevOps, Site Reliability Engineering, or related roles.
- 2+ years of hands-on AWS Experience
- Strong experience with cloud platforms (AWS, Azure, or GCP).
- Proficiency in scripting languages such as Bash, Python, or PowerShell.
- Experience with containerization and orchestration (Docker, Kubernetes).
- Familiarity with monitoring, logging, and alerting tools.
- Solid understanding of networking, security, and system administration.
- Strong communication skills and ability to work cross-functionally.
Role: Java Solution engineer Architect
Skills: Core Java, Azure (Public Cloud), AI-assisted development tools (GitHub Copilot, etc.)
Experience: 15 + Years
Location: Chicago
We are seeking a highly skilled and experienced Java Solution engineer Architect who brings more than traditional development capability—someone with a core engineering mindset, strong independent problem‑solving skills, and the ability to influence and uplevel an existing team. This role is central to our transformation journey to modernize legacy systems and move toward an autopilot engineering model. The ideal candidate is not an “order-taker” but a Better Engineer—someone who can diagnose issues, architect solutions, and drive modernization without needing step-by-step direction.
Job Description:
Tech Stack: Core Java, Azure (Public Cloud), AI-assisted development tools (GitHub Copilot, etc.)
Transformation & Coaching
- Assessment & Roadmap Creation:
- Evaluate the current technology landscape, identify gaps, and shape the transformation roadmap for modernization.
- Culture Change Agent:
- Break entrenched “comfort zone” patterns across a team with 10+ year legacy experience.
- Mentor team members and interns on modern engineering practices, automation-first thinking, and cloud-native principles.
- AI Adoption Leader:
- Promote and operationalize the use of GitHub Copilot and other AI tools for:
- Unit test generation
- Code reviews & optimization
- Issue impact diagnosis
- Development efficiency
Technical Leadership & Delivery
- Self-Sufficient Execution:
- Build systems independently without needing detailed “how-to” instructions. Should naturally handle engineering essentials such as timeouts, retries, dead letter queues, error handling, and resiliency patterns.
- Hands-on Development:
- Write high‑quality Java code while enhancing CI/CD pipelines, improving automated testing, and increasing code coverage.
- Cloud & Infrastructure Ownership:
- Drive Azure-related engineering tasks including IAM, horizontal/vertical scaling, monitoring, and Infrastructure-as-Code (Terraform).
- Operate with a philosophy of application teams owning their infrastructure.
Operational Excellence
- Documentation & Knowledge Sharing:
- Transition knowledge from individuals to scalable, documented, and automated processes; establish best practices and engineering playbooks.
- Resiliency & Scalability Engineering:
- Architect broadly stable systems that minimize production issues and increase platform reliability.
Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations.
Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.
Visit us at to learn more and view our open positions.
Please apply or call one of us to learn more For further inquiries about this opportunity, please contact our Talent Specialist, Lavanya at (224) 369 0873 .
Title: Mobile DevOps Engineer Duration: 6 Months (with possibility to convert Full-Time Based on Performance) Location: On-site at Sylmar, CA Only W2 candidates are eligible for this position.
Third-party or C2C candidates will not be considered.
Job Description About the Role We are seeking a highly skilled Mobile DevOps Engineer who can bridge development and operations for mobile platforms.
A Mobile DevOps / Mobile Platform Engineer to support a mobile patient application connected with Bluetooth-enabled pacemaker technology.
The ideal candidate will have deep expertise in Android and iOS deployment, CI/CD automation, mobile device management, and Microsoft mobile technologies, along with strong coding fundamentals and DevOps best practices.
The person in this role will mainly handle mobile deployments, Apple ecosystem management, and CI/CD pipeline support.
Looking for someone who is responsible, hands-on, and able to manage tasks independently.
Looking for purely mobile platform experience Key Responsibilities Design, implement, and maintain CI/CD pipelines for Android and iOS apps using tools like Jenkins, Bitrise, Fastlane, or GitHub Actions.
Manage mobile deployments via AirWatch, MTX, and other MDM solutions.
Automate build, test, and release processes for mobile applications.
Implement infrastructure as code and configuration management for mobile environments.
Collaborate with developers, QA, and security teams to ensure smooth releases.
Monitor and optimize build systems, deployment pipelines, and app performance.
Ensure compliance with security and privacy standards during deployments.
Troubleshoot and resolve issues across build, deployment, and runtime environments, and perform routine checks across Apple and Android environments Manage mobile application deployments to Apple App Store and Google Play Store.
Support global releases across multiple regions.
Manage Apple Developer Portal and Apple Business Manager accounts.
Track and renew Apple certificates and provisioning profiles to avoid downtime.
Support mobile device management (MDM) activities such as device enrollment, app deployments, certificate updates, and configuration changes.
Work independently and take ownership of tasks from start to finish.
Required Skills and Qualifications 5 years in DevOps or Mobile DevOps roles.
Strong experience with Android and iOS deployment workflows.
Expertise in CI/CD tools (Jenkins, GitHub Actions, Bitrise, Fastlane).
Hands-on experience with AirWatch, MTX, or similar MDM platforms.
Solid coding and scripting skills (e.g., Python, Bash, Groovy).
Proficiency in C# and understanding of unit testing frameworks (e.g., NUnit, xUnit).
Experience working with .NET, MAUI, and other Microsoft mobile solutions.
Familiarity with version control systems (Git) and branching strategies.
Knowledge of containerization (Docker) and orchestration (Kubernetes).
Experience with cloud platforms (AWS, Azure, GCP) for mobile backend integration.
Understanding of security best practices for mobile deployments.
Strong troubleshooting and problem-solving skills.
Strong hands-on experience with Apple Developer Portal / Apple Business Manager.
Experience supporting mobile application build and deployment pipelines.
Preferred Skills Experience with monitoring tools (Datadog, New Relic, Firebase Crashlytics).
Familiarity with artifact management (Nexus, Artifactory).
Knowledge of mobile app signing, provisioning profiles, and certificate management.
Exposure to automated testing frameworks for mobile (Appium, XCTest, Espresso).
Ability to work in Agile/Scrum environments.
Experience with CI/CD pipelines for mobile applications.
Familiarity with enterprise mobility environments.
Interview: Onsite Interview required.
Relocation is acceptable, but candidates must be able to attend the 2nd round interview onsite.
About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond.
The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.
DivIHN is an equal opportunity employer.
DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.
CI/CD tools, scripting skills, Mobile DevOps
Salary: $150,000
- $175,000 per year A bit about us: Based in Orange County, we are a retail technology company filled with talented people relentlessly driven to revolutionize the online shopping experience.
We are the fastest growing Brand Integrity, Where-to-Buy and data services innovator, providing unmatched insights into online consumer purchasing behaviors around the globe.
We are looking for an Engineering Team Lead with strong infrastructure skills, and deep expertise in big data, and AI/ML experience.
Why join us? Hybrid/Remote Schedule Free Food and Snacks! Relaxed Dress Code! Accelerated Career Growth! Job Details We are on the hunt for a dynamic AI Engineering Team Lead who can lead a team of Engineers to design and implement cutting-edge AI solutions.
This role will be pivotal in shaping the technical strategy for AI/ML and data processing initiatives.
The ideal candidate will have a strong background in AI/ML development and large-scale data processing systems.
This is a permanent position in our technology department, where you will work closely with our data scientists and engineers to develop and deploy advanced AI models and data-driven solutions.
Responsibilities: 1.
Lead a team of AI engineers to design and implement innovative AI/ML solutions.
2.
Develop a technical strategy for AI/ML and data processing initiatives.
3.
Design and build large-scale data processing systems.
4.
Use TensorFlow, PyTorch, and langChain for AI/ML development.
5.
Design data processing systems and work with data transformation tools, automated data pipelines, and backend services.
6.
Develop software using Node.js, React, TypeScript, GraphQL, GitHub, AWS, and cloud infrastructure automation tools.
7.
Work with GCP BigQuery, Spark, Databricks, and Snowflake for big data processing.
8.
Manage software projects from inception to deployment, ensuring timely delivery and quality.
9.
Collaborate with other teams and stakeholders to understand their needs and translate them into technical requirements.
10.
Stay up-to-date with the latest advancements in AI/ML and data processing technologies and methodologies.
Qualifications: 1.
5+ years of experience in AI/ML development.
2.
5+ years of experience in big data processing.
3.
2+ years of experience in a leadership role.
4.
Proficiency with TensorFlow, PyTorch, and langChain.
5.
Experience with large-scale data processing systems design.
6.
Experience with data transformation tools, automated data pipelines, and backend services.
7.
Proficiency with Node.js, React, TypeScript, GraphQL, GitHub, AWS, and cloud infrastructure automation tools.
8.
Experience with GCP BigQuery, Spark, Databricks, and Snowflake.
9.
Strong background in software development, Software Engineering, and Software Project Management.
10.
Excellent leadership and team management skills.
11.
Strong problem-solving skills and the ability to think strategically.
12.
Excellent communication and interpersonal skills.
13.
Bachelor's degree in Computer Science, Engineering, or a related field.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
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Resources filling this position must have at least 5 recent years’ experience working with Angular, C# .Net, JavaScript, SSRS, SQL Server, and working in an environment utilizing hybrid agile/waterfall project management methodologies.
Position Duties: · Design, develop, and maintain applications using C#.Net and Angular · Write user acceptance test plans, creating required test data and assisting users with running tests · Participate in requirements gathering session to document scoping, definition, analysis, business design, and technical design phases · Coordinate application development and scheduling interfaces with cross-functional teams · Assist with debugging complex coding issues · Author technical standards, choose technology, and create technical solutions · Develop and maintain SSRS reports · Participate in artifact reviews with peers, system specialists, Enterprise Security, and other entities to ensure IT solutions and applications adhere agency policies, standards, and guidelines · Coordinate with security resources to ensure systems are properly designed according to agency security requirements and standards · Participate in Solutions Design Team (SDT) meetings and assist in the creation of Enterprise Architecture Solution Assessments (EASA), infrastructure Service Requests (ISR), hosting documents, and firewall rules, as needed · Develop database objects, including stored procedures, functions, triggers, and packages using SQL and PL/SQL · Troubleshoot issues using SQL, PL/SQL scripts · Ensure proper change management is followed and documented for all changes to system designs and prod changes · Develop training content and facilitate training · Actively participate in the development and implementation of assigned client agency’s strategic direction/plan · Serve as technical resource to the Project Manager and liaison to the PMO to assist with resolving project issues Position Qualifications: · 10+ years of experience of developing complex systems using C#/.NET and Java (Eclipse IDE) · 10+ years of advanced experience in SQL and PL/SQL development · 8+ years of programming experience using JavaScript, SSRS, and Microsoft SQL Server · 7+ years of experience working with GIT code repository software and 5+ years of experience working with GIT for version control and source code management · 5+ years of hands-on experience developing web applications using Angular and modern JavaScript frameworks · 5+ years of recent experience writing, compiling, modifying, and debugging complex SQL Server database configuration items, including Stored Procedures, Functions, Triggers, Views, Tables, and linked servers · 5+ years of experience using Azure DevOps (ADO) for backlog management, sprint planning, task tracking, and Agile progress reporting · 5+ years of experience developing and executing unit and regression tests to ensure application reliability and stability · 2+ years of experience with React.js and modern JavaScript (ES6+) · Strong experience developing secure web applications, implementing industry best practices to prevent vulnerabilities such as cross-site scripting(XSS) and SQL injection, including secure logging practices · Exposure to DevOps practices and cloud platforms, including AWS and Microsoft Azure · Hands-on experience Integrating software components into a fully functional software system · Hands-on experience using GitHub Copilot to accelerate daily coding tasks, including code generation, refactoring, and documentation; proven ability to integrate GitHub Copilot into development workflows to enhance productivity, code quality, and team collaboration · A minimum of a Bachelor’s Degree in Information Technology or other relevant field Note: This is a W2 contract role – C2C, 1099, & 3 rd party candidates WILL NOT be considered .
Remote working/work at home options are available for this role.
Salary: $155,000
- $175,000 per year A bit about us: We are a global organization operating at the intersection of technology, data, and digital platforms, supporting products and services used by millions worldwide.
Our teams build and operate highly scalable, cloud-native systems that power data-driven decision-making, advanced analytics, and machine learning across a diverse and complex ecosystem.
With a strong emphasis on modern engineering practices, automation, and innovation, we invest heavily in the people and platforms that enable long-term growth and technical excellence.
Why join us? Work at scale: Build and operate production systems that support large, globally distributed platforms and high-impact use cases.
Technical ownership: Play a key role in shaping MLOps, DevOps, and cloud architecture standards across the organization.
Modern stack: Work with Kubernetes, GCP, Terraform, CI/CD, and production machine learning systems.
Real-world impact: Deploy and operationalize machine learning models that directly support business-critical workflows.
Collaborative culture: Partner closely with experienced engineers, data scientists, and product leaders who value strong technical judgment.
Growth and stability: Join a mature, well-funded environment that offers long-term career growth and technical depth without startup volatility.
Job Details Role Summary Join an elite engineering team at a large, globally distributed organization building next-generation, data-driven platforms at scale.
We are seeking a highly motivated and skilled Senior MLOps/DevOps Engineer to lead the architecture, deployment, and operation of modern machine learning and cloud-native systems.
This role is critical in bridging Data Science and Platform Operations, ensuring machine learning models and core services are deployed reliably, scalably, and securely in production cloud environments.
The position requires deep expertise in automation, cloud infrastructure, and the full machine learning lifecycle.
Key Responsibilities MLOps Pipeline Ownership: Design, implement, and manage end-to-end MLOps pipelines for continuous training, deployment, monitoring, and versioning of production ML models (e.g., recommendation systems, content intelligence, or analytics platforms).
Data Pipeline Design & Orchestration: Design, build, and maintain robust data ingestion and transformation pipelines using modern orchestration tools such as Dagster or Airflow.
Kubernetes & Cloud Architecture: Architect, deploy, and maintain highly scalable, fault-tolerant infrastructure using Kubernetes (GKE) within Google Cloud Platform (GCP).
DevOps & Automation: Champion DevOps best practices, including Infrastructure as Code (IaC) using Terraform or similar tools, and establish reliable CI/CD workflows.
CI/CD Implementation: Configure and manage automated deployment and testing pipelines using GitHub Actions and related tooling to ensure fast, reliable releases.
Core Development: Write clean, efficient, and well-tested Python code for automation, infrastructure tooling, and service integration.
API & Service Deployment: Design, develop, and deploy high-performance Python APIs (FastAPI, Flask, or similar) to serve ML predictions and application services in production.
Monitoring & Observability: Implement comprehensive monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, cloud-native logging tools) to maintain system reliability.
Security & Compliance: Implement security best practices, access controls, and compliance requirements appropriate for large-scale, enterprise environments.
Collaboration & Mentorship: Partner closely with data scientists, software engineers, and product teams while providing technical guidance and mentorship to junior engineers.
Required Qualifications 5+ years of experience in DevOps, Cloud Engineering, or related roles, including 2+ years focused on MLOps in production environments Advanced proficiency in Python for development, automation, and scripting Proven experience building and deploying production-grade APIs and backend services (FastAPI, Flask, Django) Strong SQL skills and experience designing and optimizing data models for relational and NoSQL systems (e.g., BigQuery, Cloud SQL) Hands-on experience with workflow orchestration tools (Dagster, Airflow) Expert knowledge of Docker and Kubernetes, including Helm and Kubernetes-native IaC tools (e.g., Crossplane); GKE experience strongly preferred Extensive experience within the Google Cloud Platform (GCP) ecosystem (Compute Engine, Cloud Storage, BigQuery, Pub/Sub, Vertex AI) Strong GitHub-based development workflows (branching, pull requests, code reviews) Solid understanding of network architecture, security principles, and large-scale data processing Excellent communication, collaboration, and problem-solving skills Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
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You can reply STOP to cancel and HELP for help.
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- Fulltime/Permanent REMOTE position This Jobot Job is hosted by: Dallas Gillespie Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $180,000 per year A bit about us: Full-time, fully remote position with excellent benefits Candidates must live in the PST or MDT time zones.
CST zone candidates will be considered.
EST Candidates are not eligible.
Why join us? We value you! Our impressive benefits package, bonus potential, and salary reflect that! Work somewhere you are recognized for your contributions! Apply Today! Job Details Minimum Education: Bachelor’s degree in computer science, artificial intelligence, informatics or closely related field.
Master’s degree in computer science, engineering or closely related field preferred.
Minimum Experience: 3 or more years of relevant Machine Learning Engineer Experience.
Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP).
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
MLOps engineering principles, agile methodologies, and DevOps life-cycle management.
Technical writing and documentation for AI/ML models and processes.
Healthcare data and machine learning use cases.
Healthcare Expertise: Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems.
REQUIRED qualifications: Experience in managing end-to-end ML lifecycle.
Experience in managing automation with Terraform.
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
Deep understanding of coding, architecture, and deployment processes Strong understanding of critical performance metrics.
Extensive experience in predictive modeling, LLMs, and NLP Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs Accountabilities: Production Deployment and Model Engineering: Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability.
Scalable ML Infrastructures: Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure.
Engineering Leadership: Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.
AI Pipeline Development: Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements.
Collaboration: Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
Continuous Integration/Continuous Deployment (CI/CD) Pipelines: Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes.
Monitoring and Logging: Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance.
Version Control: Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration.
Security and Compliance: Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations.
Documentation: Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
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Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
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AWS will be our core cloud platform.
We’re looking for an experienced Senior AWS Platform / DevOps Engineer to design, deploy, and operate the backbone of our new streaming platform.
You will own our AWS environment end-to-end: infrastructure, automation, observability, and security.
As our first DevOps hire, you’ll work directly with the Head of Engineering (ex-Amazon, ex-Prime Video) and a small, senior development team.
This is a hands-on role where you’ll set up environments, implement automation, enforce security best practices, and establish standards that future engineers will follow.
Along the way, you’ll help build a greenfield streaming platform with no legacy constraints, while making infrastructure decisions that will power experiences for millions of fans worldwide.
This is a unique opportunity to collaborate with proven leaders, shape the foundation of a new digital ecosystem, and play a pivotal role in the relaunch of Tennis Channel’s direct-to-consumer business.
This role is based in Seattle.
Key Responsibilities: Infrastructure & Automation Design, deploy, and manage AWS infrastructure: API Gateway, Lambda, ECS Fargate, Amazon RDS (PostgreSQL & MySQL/Aurora), DynamoDB, ElastiCache, S3, CloudFront, WAF, and Kinesis.
Implement Infrastructure as Code using AWS CDK (preferred) or Terraform.
Build and maintain CI/CD pipelines (GitHub Actions or AWS CodePipeline).
Security & Compliance Configure IAM roles, policies, and least-privilege access.
Implement and monitor CloudTrail, GuardDuty, Security Hub, WAF.
Enforce tagging, cost controls, and guardrails across environments.
Observability & Reliability Set up CloudWatch metrics, dashboards, and alarms.
Implement distributed tracing (AWS X-Ray) and log analytics (OpenSearch or equivalent).
Create synthetic canaries to validate key user flows (login, playback, API health).
Establish backup, recovery, and disaster recovery strategies.
Analytics & Data Implement data ingestion pipelines (e.g., Kinesis Firehose → S3 → Athena).
Deliver product dashboards with QuickSight or equivalent.
Video Delivery Extend infrastructure into AWS Media Services (MediaLive, MediaPackage, MediaConvert, MediaTailor) for live and VOD streaming.
Support secure, global video delivery through CloudFront and related services.
Required Qualifications: 5+ years of professional experience in AWS cloud infrastructure and DevOps Hands-on experience with Amazon RDS (PostgreSQL & MySQL) in production: deployment, performance tuning, backups, upgrades, and security Strong background with core AWS services: API Gateway, Lambda, ECS Fargate, DynamoDB, S3, CloudFront, WAF, ElastiCache Proficient with Infrastructure as Code (AWS CDK strongly preferred; Terraform/CloudFormation acceptable with willingness to switch) Skilled in CI/CD pipelines (GitHub Actions, CodePipeline, or Jenkins) Strong grasp of IAM, VPC networking, and AWS security best practices Experience with observability: CloudWatch, X-Ray, logging pipelines, and alerting Proficiency in scripting languages (Python, Bash) Strong communication and documentation skills; able to work independently in a small, fast-moving team Nice to have: Experience deploying and scaling a headless CMS (Strapi, Contentful, Sanity, etc.) Familiarity with streaming video architectures Knowledge of analytics pipelines (Kinesis, Athena, QuickSight) AWS certifications (Solutions Architect, SysOps, DevOps Engineer) Tennis Channel is proud to be equal opportunity employer and a drug free workplace.
Employment practices will not be influenced or affected by virtue of an applicant's or employee's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, military or veteran status or any other characteristic protected by law.
About PickleballTV Pickleballtv (PBTV) is the 24-hour television home of America’s fastest growing sport.
With coverage of tournaments throughout the year, the network offers 1,000+ hours of live matches from the game’s top professionals and biggest stars.
PBTV also provides viewers with first-class instruction, exclusive lifestyle programming and studio news content and more.
About Tennis Channel Tennis Channel is the media home to two twenty-four-hour television networks, a subscription streaming service, online magazine and podcasts dedicated to the sport and its unique lifestyle.
The tennis-media hub is home to every aspect of the wide-ranging, worldwide tennis community.
Tennis Channel is carried nationwide by every one of the top ten pay-TV service providers.
About Sinclair Sinclair, Inc.
(Nasdaq: SBGI) is a diversified media company and a leading provider of local news and sports.
The Company owns, operates and/or provides services to 178 television stations in 81 markets affiliated with all major broadcast networks; owns Tennis Channel, the premium destination for tennis enthusiasts; multicast networks CHARGE, Comet, ROAR and The Nest.
Sinclair’s AMP Media produces a growing portfolio of digital content and original podcasts.
Additional information about Sinclair can be found at .
About the Team The life-blood of our organization is our people.
We have a compelling story, a goal-oriented culture, and we take really good care of people.
How good? Here is a glimpse: great benefits, open-door policy, upward mobility and a strong desire to see you succeed.
Ready to be part of a winning team? Let’s talk.
The base salary compensation range for this role is $140,000 to $170,000.
Final compensation for this role will be determined by various factors such as a candidates’ relevant work experience, skills, certifications, and geographic location.
Full time positions are eligible for benefits that include participation in a retirement plan, life and disability insurance, health, dental and vision plans, flexible spending accounts, sick leave, vacation time, personal time, parental leave and employee stock purchase plan.
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