Legacybox Cloud Jobs in Usa
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Summary:
The Engineer, Network is responsible for the implementation and support of network infrastructure, including LAN, WAN, WLAN and SDWAN to support critical healthcare operations across The Guthrie Clinic (TGC). This role ensures high availability and performance for clinical systems, patient care services, and administrative functions across the hospital network. The Engineer collaborates with IT teams, vendors, and hospital stakeholders to align network solutions with organizational goals and regulatory requirements. This position will be a technology advocate throughout the organization for the effective application of technology to meet business needs and to support business changes and growth. Technology functions include network infrastructure, architecture and protocols (routers, switches, wireless controllers, access points, firewalls, network appliances), network automation and operations, patch management, application delivery, monitoring and cloud computing.
Experience:
1. Preferred three to five (3 to 5) years of experience in implementing and managing complex network infrastructure in an enterprise environment; healthcare experience preferred.
2. Highly experienced information systems professional with a strong technical background and proven track record of accomplishments in a large, complex multi-level organization.
3. Experience in network protocols (e.g., TCP/IP, BGP, OSPF, MPLS) and technologies (e.g., Cisco, Extreme, Palo Alto).
4. Proficiency in network security tools (e.g., firewalls, IDS/IPS, NAC).
5. Knowledge of software-defined networking (SDN) and cloud-based network solutions (e.g., AWS, Azure).
6. Knowledge of Azure networking services (e.g., MS Azure VNET, ExpressRoute, vWAN, etc.)
7. Proficient with monitoring and logging tools for access management and troubleshooting using such tools as Syslog, ACS, Netflow, Solarwinds and protocol analyzers.
8. Knowledge of network security and encryption standards.
9. Intermediate troubleshooting skills.
10. Ability to work with network security devices such as Palo Alto, Cisco ASA.
11. Experience with ITSM functionalities such as change control, CMDB and ticketing systems.
12. Strong knowledge of healthcare information systems (e.g., Epic, Cerner), cybersecurity and clinical operations.
13. Prior experience delivering high availability systems in a 24/7 environment across geographically dispersed business units.
14. Demonstrated ability to facilitate evaluation of technologies and achieve consensus on technical standards and solutions among a diverse group of information technology professionals.
15. Demonstrated commitment to customer service who has provided responsive and effective support, developed solid working relationships with customers, and delivered high quality, value-added services that met/exceeded customer expectations.
- Equally adept at developing technology strategies and the operation of existing technical infrastructures. Significant experience and knowledge of computing architecture and implementation of networked computing structures.
1. Polished professional with demonstrated information technology experience and strong communication skills that can rapidly gain and maintain credibility with customers and IT colleagues.
Education:
1. Bachelor’s degree in Information Technology, Computer Science, Healthcare Administration or related field strongly desired or an equivalent combination of education and experience.
Licenses/Certifications:
1. Preferred certifications include CCNA
Essential Functions:
- Responsible for installation and maintenance of network devices.
- Monitors functions of network devices to ensure acceptable performance.
- Creates and maintains documentation related to network configuration and network topologies.
- Serves as subject matter expert across network technologies and solutions supporting LAN, WAN, WLAN and SDWAN.
- Troubleshoots and resolves LAN, WAN, WLAN and SDWAN incidents.
- Provide level 2 escalation support and troubleshooting to resolve complex network incidents and tasks.
- Anticipates and provides solutions for complex problems and issues, recommends upgrades and enhancements. Rapidly absorbs complex technical and conceptual information to identify issues and implications. Able to present understandable alternatives to both technical and non-technical individuals at all levels of the organization.
- Monitors industry trends, maintains knowledge of developments in network infrastructure, architecture and protocols, network automation and operations, patch management, application delivery, monitoring and cloud computing.
- Maintain current working knowledge of IT best practices and innovative solutions within both healthcare and industry. Identifies leading edge technologies for potential early adoption that will result in service differentiation and create competitive advantage. Collaborates with other TGC IT departments, TGC management and business leaders assisting in the evaluation and validation of emerging technologies. Identifies strategies to mitigate risk associated with leading edge technologies.
- Promotes the use of TGC’s PMO methodology and standards to manage IT initiatives.
- Demonstrates commitment to customer service by providing responsive and effective support, developing solid working relationships with customers and IT colleagues, and delivering high quality, value-added services that exceed customer expectations.
- Demonstrates a commitment to excellence in Customer Service with all internal and external customers of TGC.
- Willingness to travel between sites in the TGC Pennsylvania/New York regional footprint (Sayre, Towanda, Troy, Corning, Cortland, Binghamton, etc.)
- Performs related duties as assigned and unrelated duties as requested.
Other Duties: Other duties as assigned
Pay Range: Minimum $41.40/hr, Maximum $64.61/hr
Our Ideal Candidate
We are seeking a Senior Backend Engineer with 5+ years’ experience building scalable, secure systems using .NET, cloud services, and modern API frameworks. You should have expertise in high-performance backend architecture, database management (both relational and non-relational), and HIPAA-compliant data handling in regulated industries. Proficiency in AWS, serverless development, CI/CD automation, and cross-team collaboration is required. Experience with microservices, containerization, IaC, or healthcare data standards is a plus.
Responsibilities
- Design, develop, and maintain RESTful APIs and backend services using .NET and related technologies.
- Architect scalable and secure server-side applications to support healthcare data workflows.
- Manage relational and non-relational databases to ensure data integrity and performance.
- Collaborate with front-end developers, DevOps, and QA teams to deliver integrated solutions.
- Implement authentication, authorization, and data protection mechanisms in compliance with HIPAA.
- Optimize backend performance and resource usage across cloud platforms (AWS, Azure).
- Automate backend processes and contribute to CI/CD pipelines.
- Maintain documentation for backend architecture, APIs, and data models.
Qualifications
- B.S. Computer Science degree or equivalent experience
- 5+ years of experience in backend development, preferably in healthcare or regulated industries.
- Proficiency in .NET (C#), ASP.NET Core, and server-side frameworks.
- Strong understanding of database systems (SQL Server, PostgreSQL, MongoDB).
- Experience with cloud platforms such as AWS or Azure.
- Familiarity with scripting languages (Python, PowerShell, Bash).
- Knowledge of networking, security, and system administration principles.
- Excellent problem-solving and communication skills.
Preferred Qualifications
- Experience with healthcare data standards and HIPAA compliance.
- Exposure to microservices architecture and containerization (Docker, Kubernetes).
- Experience with infrastructure as code tools (Terraform, CloudFormation).
- Certifications such as Microsoft Certified: Azure Developer Associate or AWS Developer Associate.
Summary:
The Engineer, Network is responsible for the implementation and support of network infrastructure, including LAN, WAN, WLAN and SDWAN to support critical healthcare operations across The Guthrie Clinic (TGC). This role ensures high availability and performance for clinical systems, patient care services, and administrative functions across the hospital network. The Engineer collaborates with IT teams, vendors, and hospital stakeholders to align network solutions with organizational goals and regulatory requirements. This position will be a technology advocate throughout the organization for the effective application of technology to meet business needs and to support business changes and growth. Technology functions include network infrastructure, architecture and protocols (routers, switches, wireless controllers, access points, firewalls, network appliances), network automation and operations, patch management, application delivery, monitoring and cloud computing.
Experience:
1. Preferred three to five (3 to 5) years of experience in implementing and managing complex network infrastructure in an enterprise environment; healthcare experience preferred.
2. Highly experienced information systems professional with a strong technical background and proven track record of accomplishments in a large, complex multi-level organization.
3. Experience in network protocols (e.g., TCP/IP, BGP, OSPF, MPLS) and technologies (e.g., Cisco, Extreme, Palo Alto).
4. Proficiency in network security tools (e.g., firewalls, IDS/IPS, NAC).
5. Knowledge of software-defined networking (SDN) and cloud-based network solutions (e.g., AWS, Azure).
6. Knowledge of Azure networking services (e.g., MS Azure VNET, ExpressRoute, vWAN, etc.)
7. Proficient with monitoring and logging tools for access management and troubleshooting using such tools as Syslog, ACS, Netflow, Solarwinds and protocol analyzers.
8. Knowledge of network security and encryption standards.
9. Intermediate troubleshooting skills.
10. Ability to work with network security devices such as Palo Alto, Cisco ASA.
11. Experience with ITSM functionalities such as change control, CMDB and ticketing systems.
12. Strong knowledge of healthcare information systems (e.g., Epic, Cerner), cybersecurity and clinical operations.
13. Prior experience delivering high availability systems in a 24/7 environment across geographically dispersed business units.
14. Demonstrated ability to facilitate evaluation of technologies and achieve consensus on technical standards and solutions among a diverse group of information technology professionals.
15. Demonstrated commitment to customer service who has provided responsive and effective support, developed solid working relationships with customers, and delivered high quality, value-added services that met/exceeded customer expectations.
- Equally adept at developing technology strategies and the operation of existing technical infrastructures. Significant experience and knowledge of computing architecture and implementation of networked computing structures.
1. Polished professional with demonstrated information technology experience and strong communication skills that can rapidly gain and maintain credibility with customers and IT colleagues.
Education:
1. Bachelor’s degree in Information Technology, Computer Science, Healthcare Administration or related field strongly desired or an equivalent combination of education and experience.
Licenses/Certifications:
1. Preferred certifications include CCNA
Essential Functions:
- Responsible for installation and maintenance of network devices.
- Monitors functions of network devices to ensure acceptable performance.
- Creates and maintains documentation related to network configuration and network topologies.
- Serves as subject matter expert across network technologies and solutions supporting LAN, WAN, WLAN and SDWAN.
- Troubleshoots and resolves LAN, WAN, WLAN and SDWAN incidents.
- Provide level 2 escalation support and troubleshooting to resolve complex network incidents and tasks.
- Anticipates and provides solutions for complex problems and issues, recommends upgrades and enhancements. Rapidly absorbs complex technical and conceptual information to identify issues and implications. Able to present understandable alternatives to both technical and non-technical individuals at all levels of the organization.
- Monitors industry trends, maintains knowledge of developments in network infrastructure, architecture and protocols, network automation and operations, patch management, application delivery, monitoring and cloud computing.
- Maintain current working knowledge of IT best practices and innovative solutions within both healthcare and industry. Identifies leading edge technologies for potential early adoption that will result in service differentiation and create competitive advantage. Collaborates with other TGC IT departments, TGC management and business leaders assisting in the evaluation and validation of emerging technologies. Identifies strategies to mitigate risk associated with leading edge technologies.
- Promotes the use of TGC’s PMO methodology and standards to manage IT initiatives.
- Demonstrates commitment to customer service by providing responsive and effective support, developing solid working relationships with customers and IT colleagues, and delivering high quality, value-added services that exceed customer expectations.
- Demonstrates a commitment to excellence in Customer Service with all internal and external customers of TGC.
- Willingness to travel between sites in the TGC Pennsylvania/New York regional footprint (Sayre, Towanda, Troy, Corning, Cortland, Binghamton, etc.)
- Performs related duties as assigned and unrelated duties as requested.
Other Duties: Other duties as assigned
About Us:
Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.
SUMMARY:
We are seeking a skilled and adaptable Junior AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.
Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:
- Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
- Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
- Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
- Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
- Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
- Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
- Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
- Other duties as assigned
REQUIRED TECHNICAL SKILLS:
- Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Experience applying NLP techniques to unstructured text
- Hands-on experience working with LLMs, including:
- Prompt design and iteration
- Using pre-trained models for classification or extraction tasks
- Foundational understanding of model fine-tuning, such as:
- Fine-tuning transformer models or LLMs for classification or information extraction
- Adapting existing training scripts or examples to new datasets
- Familiarity with model evaluation metrics (precision, recall, F1) and basic error analysis
- Experience working with labeled datasets and annotation outputs, including reviewing label quality
- Understanding of common ML problem types, including binary and multi-label classification
- Awareness of model bias, label noise, and false positives, with the ability to discuss tradeoffs and mitigation strategies
- Basic understanding of production ML workflows (versioning, reproducibility, monitoring concepts)
OTHER SKILLS and ABILITIES:
- Hands-on fine-tuning experience with LLMs (e.g., Hugging Face, OpenAI fine-tuning, Azure Foundry), even if limited to small-scale or academic projects
- Exposure to cloud ML platforms (Azure ML, AWS SageMaker, or GCP)
- Familiarity with RAG architectures and retrieval-based grounding
- Experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK)
- Introductory experience with weak supervision or noisy-label learning
- Interest in healthcare or biomedical NLP
- Curiosity about knowledge graphs, ontologies, or structured prediction
- Familiarity with secure data handling practices
- Willingness and ability to learn workflows for sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows
EXPERIENCE:
- Bachelor’s Degree in related field
- 1–2 years of experience in machine learning, applied NLP, or software engineering
- Demonstrated some experience training or fine-tuning ML models, not just using APIs
- Ability to collaborate with senior engineers and domain experts and incorporate feedback
BENEFITS:
- 401(k)
- Dental Insurance
- Health Insurance
- Life Insurance
- Vision Insurance
- Paid Time Off
- Free catered lunches
Job Title – Tech Lead, SFDC
Location – SFO- Bay Area, CA - Hybrid
Duration – Long Term Contract (C2C, W2)
We are looking for a Salesforce Technical Lead with strong Healthcare Cloud experience who is highly hands-on and comfortable with Apex coding, complex SOQL queries, and custom development.
Key Responsibilities:
- Lead end-to-end Salesforce implementations with a focus on Salesforce Health Cloud
- Design and develop custom Apex classes, triggers, batch/queueable jobs, and complex SOQL/SOSL queries
- Build and optimize Lightning Web Components (LWC) and Aura components
- Perform hands-on development while mentoring junior developers and reviewing code
- Design and implement integrations using REST/SOAP APIs, Platform Events, and middleware
- Ensure data security, compliance, and HIPAA standards in healthcare solutions
- Own technical architecture, troubleshooting, and performance optimization
- Collaborate closely with business stakeholders, product owners, and cross-functional teams
Required Skills & Experience:
- 13+ years of Salesforce experience with 5+ years as a Technical Lead
- Strong expertise in Salesforce Health Cloud
- Expert-level Apex development, including triggers, async Apex, and governor limit optimization
- Advanced experience writing SOQL queries and handling large data volumes
- Hands-on experience with LWC, Visualforce (as needed), and Salesforce flows
- Experience integrating healthcare systems (FHIR, HL7, EHR/EMR preferred)
- Solid understanding of Salesforce security model, data sharing, and compliance (HIPAA)
- Experience with CI/CD, DevOps tools, and source control (Git)
Position Title: Applied AI Systems Engineer
Location: Orange County, California (Hybrid)
Reports To: Head of Operations
Position Summary
This role is responsible for architecting, building, and deploying a production-grade AI operating system that automates core workflows across leasing, property management, accounting, construction coordination, and asset management.
The engineer will design and implement AI agents, document intelligence systems, and workflow automation pipelines that reduce manual processing, improve accuracy, and increase operational scalability across a commercial real estate portfolio.
This position requires strong systems thinking, rigorous technical execution, and the ability to translate complex operational processes into reliable automation.
Core Objectives
- Build an internal AI platform that automates high-volume operational workflows
- Reduce manual processing time and administrative overhead
- Improve accuracy, speed, and decision visibility across departments
- Establish scalable systems that support portfolio growth without proportional staffing increases
Primary Responsibilities
- AI Platform Architecture & Development
- Design and deploy AI agents to automate operational and administrative workflows
- Build LLM-powered systems for document review, data extraction, and decision support
- Develop retrieval-based systems leveraging leases, financial data, contracts, and SOPs
- Implement evaluation, monitoring, and continuous improvement frameworks
Lease & Document Intelligence Automation
- Build tools to extract key lease terms, obligations, and risk clauses
- Automates lease abstraction and document comparison workflows
- Develop compliance and deadline tracking systems
- Enable searchable knowledge retrieval across lease and legal documents
Leasing & Asset Management Automation
- Automate LOI comparison and deal workflow summaries
- Build dashboards summarizing tenant performance, lease milestones, and risk exposure
- Support market intelligence and tenant prospecting research
- Develop underwriting support and reporting tools
Property Management & Financial Workflow Automation
- Automate CAM reconciliation data processing and variance detection
- Streamline tenant reporting and communication workflows
- Track vendor contracts, compliance deadlines, and service obligations
- Extract and structure financial data from operational documents
Data Infrastructure & Knowledge Systems
- Structure internal documents and data for AI retrieval and automation
- Build document ingestion, indexing, and retrieval pipelines
- Implement vector search and knowledge retrieval systems
- Maintain data integrity, access control, and auditability
Systems Integration & Deployment
- Integrate AI tools with property management, accounting, CRM, and document platforms
- Deploy systems within secure cloud environments
- Implement logging, monitoring, performance, and cost controls
- Ensure reliability and scalability of deployed systems
Collaboration & Implementation
- Translate operational workflows into technical automation solutions
- Work directly with leadership to prioritize automation opportunities
- Train teams and implement adoption workflows
- Establish standards for responsible and secure AI usage
Required Qualifications
- Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative discipline
- Demonstrated success in a rigorous academic or research environment
- 3–7+ years building production software, automation systems, or applied AI solutions
- Strong Python development and API integration experience
- Experience working with structured and unstructured data
- Experience deploying systems in cloud environments
- Strong understanding of system architecture and data pipelines
- Exceptional analytical and problem-solving ability
Preferred Qualifications
- Experience building document intelligence or contract analysis systems
- Experience with retrieval systems and vector databases
- Experience automating financial or operational workflows
- Experience integrating AI into business operations environments
- Experience in real estate, finance, logistics, or operations-heavy industries
- Evidence of research, technical publications, competitive programming, or open-source contributions
Technical Environment (Representative)
- Python and API-based architectures
- LLM platforms and agent orchestration frameworks
- Cloud infrastructure (AWS, Azure, or GCP)
- SQL and vector databases
- Workflow orchestration and automation tools
- Version control, logging, and monitoring systems
Success Metrics
- Performance in this role will be evaluated by:
- Reduction in manual administrative workload
- Automation coverage across operational workflows
- Accuracy and reliability of AI-driven outputs
- Adoption and usage across departments
- Operational efficiency gains and cost reductions
Work Environment
- Hybrid work model with in-person collaboration in Orange County
- Direct collaboration with executive leadership and operational teams
- High autonomy in system architecture and implementation decisions
Location: Denver, CO (Denver Tech Center)
Schedule: Hybrid - Onsite 1 day per week
Type: Full-Time, Direct Hire
Salary: $160k - $175k + bonus + Long Term Incentive
Description
Seeking an accomplished Principal Software Engineer to serve as a key technical leader and architectural visionary, driving the design and development of our next‑generation real estate technology platforms. In this role, you will guide engineering strategy, architect large-scale, cloud‑native, full‑stack applications, and collaborate across product, UX, platform, and data teams to deliver secure, high‑performance, enterprise-grade systems. You will influence engineering culture, mentor senior engineers, and ensure our solutions remain scalable, observable, and aligned with long‑term business outcomes.
Responsibilities
Architecture & Technical Leadership
- Architect and own end‑to‑end technical solutions across front‑end, back‑end, and data layers for enterprise-scale products.
- Drive cloud-native architecture on AWS, including microservices, event-driven patterns, security controls, and scalable data workflows.
- Lead cross-team architectural reviews, ensuring alignment with engineering best practices, long-term platform strategy, and organizational technical standards.
- Champion DevOps, embedding security, quality, and observability into every stage of the SDLC.
- Champion observability across the organization, ensuring systems are setup for deep visibility, actionable alerts, and fast root-cause analysis.
Full‑Stack Product Development
- Design, build, and maintain applications using Next.js, NestJS, and modern JavaScript/TypeScript frameworks.
- Build robust APIs, services, and distributed systems using Node.js-based server frameworks.
- Support rich front-end experiences, focusing on performance, accessibility, and scalable UI architecture.
- Develop efficient data access patterns using both relational and NoSQL databases.
Enterprise Software Delivery
- Implement and evolve CI/CD pipelines using GitLab CI to improve deployment frequency, reliability, and operational excellence.
- Deploy, monitor, and optimize applications on AWS.
- Integrate and operationalize observability tooling, including logging frameworks, metrics collection, distributed tracing, dashboards, and alerting systems.
Collaboration & Cross‑Functional Influence
- Partner with Product, Data, Architecture, Platform Engineering, Security, and peer Principal Engineers to drive strategic initiatives and technical roadmaps.
- Translate complex technical concepts into business-aligned recommendations for stakeholders.
- Serve as a key voice in engineering strategy, bringing clarity and thought leadership to complex organizational decisions.
Mentorship & Culture Building
- Mentor engineers at all levels through pairing, architecture reviews, and continuous knowledge-sharing practices.
- Foster a culture of engineering excellence based on collaboration, craftsmanship, innovation, and continuous improvement.
- Lead teams in solving the organization's most challenging technical problems with creativity and long-term thinking.
Qualifications
Required
- 10+ years of software engineering experience, including more than 3 years in technical leadership or principal-level roles.
- Strong full‑stack engineering experience, with deep expertise in front-end, back-end, and data architecture.
- Advanced proficiency in JavaScript/TypeScript, Next.js, NestJS, Node.js, and modern application frameworks.
- Strong experience with both NoSQL (e.g., DynamoDB, MongoDB) and SQL databases (e.g., PostgreSQL, MySQL).
- Expert in building and maintaining CI/CD pipelines (GitLab preferred).
- Extensive experience architecting and deploying solutions on AWS.
- Hands-on experience with logs, metrics, tracing, APM tools, and observability platforms.
- Strong communication skills and the ability to collaborate across multiple teams and stakeholders.
Principal-Level Expectations
- Proven ability to architect large-scale, distributed, cloud-native systems in production environments.
- Demonstrated experience influencing cross-functional strategy and driving technical decisions across multiple teams.
- Ability to evaluate emerging technologies and guide adoption across the organization.
- Deep understanding and experience architecting highly available systems that are highly performant and follow industry standards for observability, alerting, and logging.
- Preferred: Experience architecting and optimizing SaaS platforms with eCommerce integrations, leveraging SEO best practices, geo‑aware capabilities, and LLM-driven features to enhance personalization, search relevance, and global user experience.
Benefits:
- Competitive Medical, Dental, and Vision benefits
- Retirement plans with optimal company match
- Annual bonus/merit opportunity
- Educational Assistance
- Medical Health support program
- Events offered in-person and virtually
- Mentorship program
- Employee Resource Groups
- Unlimited PTO
- 7 holidays + 5 additional flex days
- Monthly Home Office reimbursement
All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.
This Jobot Job is hosted by: Katherine Krull
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Salary: $160,000 - $180,000 per year
A bit about us:
Come join a growing direct-to-consumer e-commerce company in the lawn care industry, utilizing cutting-edge data analysis!
Job Title: Staff Software Engineer
Job Location: 100% REMOTE, but you must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.
Pay Rate: $160k-$180k/yr. + Comprehensive Benefits
Must have:
- 5+ yrs of Frontend Development experience, building & engineering user interfaces
- Expertise with React
- Experience leading frontend initiatives, making architectural decisions, bridging the gap between FE and existing BE systems, and mentoring team members
- Python, Django, and FastAPI
- Prior startup experience
Preferred Qualifications:
- Kubernetes, Argo, and Google Cloud Platform
- Experience building full-stack applications from scratch
- Infrastructure as code and DevOps experience
Why join us?
A mission-driven company focused on sustainability and innovation.
? A remote-first culture with flexibility and autonomy.
? A collaborative and supportive team environment.
? Competitive salary, equity, and benefits.
If you’re passionate about building great software and want to work on products that make a positive environmental impact, we’d love to hear from you
Job Details
We are seeking a talented and experienced Staff-level Full Stack Engineer with a strong emphasis on frontend development to help shape the future of our digital products. This is an opportunity to have a major impact on our technology stack, user experience, and engineering culture as we continue to scale. You will work closely with a cross-functional team of designers, product managers, and backend engineers to build high-quality, performant, and scalable web applications.
REQUIREMENT: You must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.
What You’ll Do
? Lead Development: Drive the development of new product features from concept to launch, ensuring high-quality implementation and user experience.
? Design & Architect: Build scalable, high-performance frontend architectures that seamlessly integrate with backend APIs.
? Technical Decision-Making: Evaluate trade-offs between different solutions and make informed technical choices that align with business and user needs.
? Mentorship: Support other engineers through code reviews, pair programming, and technical guidance.
? Collaboration: Work closely with Product, Design, and Backend teams to deliver cohesive and intuitive user experiences.
? Process Improvement: Contribute to enhancing development processes, best practices, data driven decisions, and engineering culture.
Must have:
- 5+ yrs of Frontend Development experience, building & engineering user interfaces
- Expertise with React
- Experience leading frontend initiatives, making architectural decisions, bridging the gap between FE and existing BE systems, and mentoring team members
- Python, Django, and FastAPI
Preferred Qualifications:
- Kubernetes, Argo, and Google Cloud Platform
- Experience building full-stack applications from scratch
- Infrastructure as code and DevOps experience
Interested in hearing more? Easy Apply now by clicking the "Apply" 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.
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Date Posted:
2026-03-09Country:
United States of AmericaLocation:
US-TX-RICHARDSON-C27 ~ 1727 Cityline Dr ~ CITYLINE C27Position Role Type:
OnsiteU.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearanceSecurity Clearance Type:
TS/SCI without PolygraphSecurity Clearance Status:
Active and existing security clearance required after day 1At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.
We are seeking a Principal Platform Architect to lead the design and evolution of our Internal Developer Portal and Developer Experience ecosystem. This role focuses on building intuitive, self-service workflows that enable development teams to onboard, deploy, and operate software efficiently across secure environments.
You will operate at the intersection of product, platform, and users — translating developer needs into usable platform capabilities. The role requires strong frontend engineering instincts, backed by solid backend and cloud-native platform knowledge.
You will help define how engineers interact with the platform — not just build services but design the experience. This position involves architecting UI workflows, integrating APIs, enabling self-service automation, and shaping platform standards used across multiple programs and security domains.
What Makes This Role Unique
This is not a traditional backend platform engineering role. You will design how developers interact with the platform itself — shaping onboarding, automation, and daily workflows across a large engineering organization. Success in this role is measured by developer adoption, efficiency, and satisfaction. You will be the person who turns infrastructure into a usable product.
What You Will Do
- Architect and implement an Internal Developer Portal (IDP)
- Design user-focused workflows for onboarding, resource provisioning, and lifecycle management
- Develop frontend experiences using modern web frameworks (React/TypeScript)
- Implement backend services and APIs supporting the portal (Python/FastAPI)
- Integrate platform systems (Kubernetes, CI/CD, identity, secrets, cost services, and infrastructure automation)
- Partner with platform teams to convert infrastructure capabilities into self-service products
- Improve usability, adoption, and developer satisfaction across the platform
- Define and evolve developer experience standards and patterns
- Gather feedback from engineering teams and translate it into product improvements
- Create documentation and enablement materials
- Communicate technical concepts to both engineers and leadership
Qualifications You Must Have
- Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and a minimum 8 years of related work experience
- Experience with Windows and Linux operating systems (RHEL 8+ preferred)
- Experience in one or more of the following
- Programming: Python, Java, TypeScript, Golang, Rust, Shell
- Frameworks: React/Next.js, Flask, Spring Boot, Svelte
- Infrastructure as Code: Terraform, Ansible or equivalent
- Data formats: JSON, XML, YAML, SQL
- Experience in one or more of the following
- Cloud platforms: AWS, Azure, or similar on-prem/self-hosted infrastructure
- Containerization: Docker, Podman
- Orchestration: Kubernetes, Rancher
- Databases: PostgreSQL, MongoDB
- Product tooling: Jira / Atlassian ecosystem
- Observability platforms
- Generative AI developer tooling
- Ability to obtain a TS/SCI security clearance is required after day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Qualifications We Prefer
- Experience building or supporting Internal Developer Platforms (IDPs)
- Experience improving developer workflows or platform usability
- Background in DoD, Intelligence, or Space environments
- Experience working in scaled agile environments
- Experience leading platform or product initiatives
- Ability to understand Modern DevSecOps practices
- Ability to understand Software testing methodologies
- Experience with RESTful API and distributed architecture design
- Experience with Secure system design principles
- Experience with Technical documentation
- Ability to understand business, product, and engineering context simultaneously
- Ability to research, prototype, and recommend platform strategy
- Experience defining engineering standards and processes
What We Offer
- Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation
Learn More & Apply Now!
- Please consider the following role type definition as you apply for this role
- Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products
This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: : Richardson, TX
- We Are RTX
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
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Key Responsibilities AI/ML Engineer Implement version control for code, data, and models using GitLab, SonarQube, Jenkins, Artifactory Automate testing frameworks using AI capabilities, including model validation tests Design blue/green deployment strategies using AI capabilities Automated build, scans and deploy including vulnerability remediation capabilities Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field 7+ years of experience in DevSecOps, Site Reliability Engineering, Hands on knowledge of AI tools, Models, practical use case implementation Proficiency in at least one programming language commonly used in AI (Python, Java) Hands-on experience with cloud platforms (AWS, Azure, GCP) Understanding of ML frameworks (TensorFlow, PyTorch, scikit-learn) Experience with CI/CD tools (Jenkins, GitHub, GitLab CI, Artifactory) Hands on experience with automated security vulnerability detection and remediation using security scanning tools in DAST/SAST/IAST scanning space Hands on experience building and deploying Agentic capabilities using AI Agentic tools, processes across the technology and business landscape Skills LLM ( Claude/ OpenAI) with focus on reasoning/agentic use cases Agentic AI framework LangChain, LangGraph, CrewAI Context Engineering MCP Vector databases RAG Python language proficiency is must.
Deep understanding of cloud engineering as related AI, DevOps, Automation Strong troubleshooting and problem-solving abilities Excellent communication skills to work with both data scientists and operations teams Familiarity with agile development methodologies Knowledge of security best practices for AI systems Ability to balance technical requirements with business needs
