Tvheadend Docker Jobs in Usa

Job Title: Senior Software Engineer

Reports To: Manager of Application Development

About the Role:

The Senior Software Engineer is a hands-on technical leadership position responsible for designing, building, and maintaining high-quality software solutions. This role emphasizes both individual development work and ownership of design decisions for features and subsystems. Modern tools, including AI-assisted development and architectural support, are leveraged to drive delivery while maintaining accountability for technical outcomes.

Responsibilities:

• Design, implement, test, and maintain scalable, secure, and reliable applications and services.
• Act as a senior technical contributor, with responsibility for the design and implementation of features and subsystems.
• Contribute actively to development tasks, applying advanced coding expertise in several programming languages and frameworks.
• Participate in architectural discussions and support incremental evolution of systems with team leads.
• Conduct code reviews and mentor engineering team members, fostering best practices and ongoing improvement.
• Translate requirements from product owners, business analysts, and stakeholders into technical solutions.
• Identify and mitigate technical risks in assigned systems and projects.
• Support and enhance cloud-based applications (Azure, AWS) with emphasis on performance, reliability, and scalability.
• Collaborate effectively with onshore and offshore teams to ensure successful project execution.
• Keep abreast of industry trends and new technologies to encourage innovation.
• Utilize AI-assisted tools to expedite design, documentation, and implementation, while ensuring technical quality.
• Lead and support AI-related initiatives, drawing on prior experience with AI/ML technologies; recommend and implement suitable AI tools and frameworks.
• Test and demonstrate emerging AI tools and platforms via proofs of concept (POCs) to highlight business value.
• Guide customers in leveraging AI to optimize business processes; support teams working on business-facing AI efforts.
• Collaborate with stakeholders to contribute to defining an AI roadmap aligned with organizational strategy and technology objectives.

Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree preferred.
• A minimum of 5 years in a Senior Software Engineer, Lead Developer, or similar role, with proven success delivering production systems.

Required Skills:

• Strong understanding of software development methodologies (e.g., Agile, DevOps) and architectural frameworks.
• Proficient in programming languages such as C#, Python; excellent problem-solving and critical thinking skills.
• Web Development: Experience with modern front-end frameworks (e.g., React, Vue.js).
• Mobile Development: Knowledge of mobile app development tools (e.g., Cordova, Ionic).
• Cloud Development: Experience managing cloud-hosted applications, including Azure Functions and Event Hubs.
• Database Management: Ability to develop and debug stored procedures, views, and tables in SQL Server and MySQL; basic database administration for data integrity and security.
• API Development: Skilled at designing, building, and debugging APIs; experience with RESTful APIs and tools like POSTMAN and SOAPUI.
• DevOps: Designing branching strategies; implementing and maintaining CI/CD pipelines for test automation and deployment.
• Containerization: Experience with Docker and Kubernetes for application development and deployment.
• Security: Understanding of secure coding and application security best practices.

Preferred Skills:

• Ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Effective teamwork, working with cross-functional groups including developers, project managers, and analysts.
• Strong problem-solving abilities and the capacity to make effective decisions under constraints.
• Leadership through mentoring and influencing technical direction.
• Adaptability to new technologies and changing environments.
• Critical thinking in evaluating options and making informed decisions.
• Effective time management across multiple projects.
• Empathy for team and stakeholder perspectives to foster collaboration.

Endava is a leading technology services company dedicated to helping clients accelerate their digital transformation journeys. We're seeking a Google Cloud Industry Consultant to join our growing Google Cloud team. In this role, you'll be a true builder, with deep technical knowledge, working as an entrepreneur within our organization. You'll partner with Endava Industry Sellers and Google Cloud's sales teams to identify, pitch, and sell innovative, cloud-native solutions that directly address complex customer challenges. Your work will not only drive our clients' success but also contribute to the growth of our Google Cloud business. You'll be a trusted advisor, a technical visionary, and a hands-on leader, shaping the future of cloud solutions at the intersection of industry expertise and cutting-edge technology.

Accountabilities

As a Google Cloud Industry Consultant, you'll be accountable for:

• Pioneering Solutions and Market Building:
  Act as an entrepreneur within Endava, working with Endava sellers to identify new market opportunities and build a pipeline of projects. You'll be a key player in the entire sales cycle, from initial discovery to closing the deal, focusing on selling services that leverage Google Cloud's capabilities to solve customer challenges.
• Collaborative Client Engagement:
  Work in close partnership with Endava industry sellers and Google sellers throughout the client engagement process. At times, you may lead the process, directing strategy and client interactions. In other situations, you'll be a key member of a collaborative team, providing technical expertise and support to achieve a shared goal.
• Solution Architecture & Design:
  Design and architect scalable, secure, and cost-effective cloud solutions on GCP. This includes creating detailed technical architectures, selecting appropriate GCP services, and defining migration and modernization strategies for complex enterprise environments.
• Technical Leadership & Delivery:
  Act as a hands-on technical leader, guiding delivery teams through the initial phases of client projects. You'll ensure architectural integrity and quality throughout the implementation process, providing expert guidance on everything from infrastructure as code (IaC) to CI/CD pipelines.
• Industry Expertise & Thought Leadership:
  Apply your deep knowledge of a specific industry (e.g., Financial Services, Retail, Healthcare) to tailor solutions that address unique sector-specific challenges and regulatory requirements. You'll contribute to Endava's intellectual capital by developing best practices, frameworks, and reusable assets.

Attributes

• We're looking for someone with a blend of technical prowess, strategic thinking, and exceptional interpersonal skills.
• Builder & Entrepreneur:
  You must have a strong desire to build and grow something new. You're proactive, resourceful, and comfortable with ambiguity. You're energized by the challenge of creating a pipeline and closing deals.
• Trusted Advisor:
  You should be a credible and reliable source of expertise for clients and colleagues, capable of building long-term relationships based on trust and mutual respect.
• Problem Solver:
  You'll need to be analytical and adept at diagnosing complex business and technical issues. Your ability to think critically and propose innovative solutions is essential.
• Communicator:
  You must be able to articulate complex technical concepts in a clear, concise manner to a variety of audiences, from technical leads to non-technical business executives.
• Collaborator:
  The role requires working effectively with diverse, globally distributed teams and stakeholders. You'll need to share knowledge and contribute to a supportive, collaborative culture.
  
  

Ideal Profile

The ideal candidate will possess a compelling mix of experience and technical certifications.

Experience:

• 5+ years of hands-on experience in a cloud architecture, consulting, or solution design role.
• Extensive experience designing and implementing large-scale solutions on Google Cloud Platform (GCP).
• Demonstrated industry expertise in banking, payments or insurance
• Experience working in a pre-sales or business development capacity, including identifying opportunities, preparing proposals, and delivering pitches.

Technical Skills:

• Expert knowledge of core GCP services (Compute Engine, GKE, Cloud Storage, BigQuery, IAM, Networking).
• Hands-on experience with Infrastructure as Code tools like Terraform.
• Deeper technical experience in either AI & Data (e.g., Gemini, BigQuery, Vertex AI, Dataflow) or Security (e.g., Cloud Armor, VPC Service Controls, Security Command Center) is highly preferred.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD tools.
• Understanding of data management, security, and governance best practices in a cloud environment.

Education & Certifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Google Cloud Professional Cloud Architect certification is highly preferred.
• Additional GCP certifications (e.g., Professional Data Engineer, Professional DevOps Engineer) are a plus
  
  

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance:
  Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
• Career Development:
  Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities:
  Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance:
  Hybrid work and flexible working hours, employee assistance programme;
• Health:
  Global internal wellbeing programme, access to wellbeing apps;
• Community:
  Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

Additional Employee Requirements

• Participation in both internal meetings and external meetings via video calls, as necessary.
• Ability to go into corporate or client offices to work onsite, as necessary.
• Prolonged periods of remaining stationary at a desk and working on a computer, as necessary.
• Ability to bend, kneel, crouch, and reach overhead, as necessary.
• Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary.
• Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary.
• For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary.
• For positions that require business travel and/or event attendance, a valid driver’s license and acceptable driving record are required, as driving is an essential job function.

If requested, reasonable accommodations will be made to enable employees requiring accommodations to perform the essential functions of their jobs, absent undue hardship.

USA Benefits (Full time roles only, does not apply to contractor positions)

• Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options
• Flexible Spending Accounts (Medical, Transit, and Dependent Care)
• Employer Paid Life Insurance and AD&D Coverages
• Health Savings account paired with our low-cost High Deductible Medical Plan
• 401(k) Safe Harbor Retirement plan with employer match with immediately vest

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Senior Integrations Software Developer

Overview:

We are looking for a Senior Integrations Software Developer to lead the design and development of our enterprise-wide GraphQL API layer, which serves as the central integration platform connecting all enterprise systems and applications. This role goes beyond coding—you will partner with business stakeholders and technical teams to translate complex business requirements into clear, scalable integration solutions. You will also play a key role in shaping the API platform strategy, mentoring developers, and driving best practices across the organization.

Key Responsibilities:

• Lead the development and evolution of the enterprise GraphQL API layer, ensuring it meets performance, scalability, and security standards.
• Partner with business stakeholders and technical teams to understand integration needs and deliver straightforward, effective solutions.
• Define and enforce API design standards, governance, and best practices across teams.
• Guide and mentor mid-level and junior developers, fostering a culture of collaboration and technical excellence.
• Work with diverse databases, including MS SQL, PostgreSQL, Oracle DB, and others, ensuring efficient data access and transformation.
• Contribute to API platform engineering, improving developer experience and enabling other teams to integrate seamlessly.
• Participate in architectural discussions, influencing decisions on integration patterns and enterprise connectivity.
• Drive continuous improvement in CI/CD pipelines, containerization strategies, and deployment processes.

Required Skills & Qualifications:

• 5+ years of professional experience in software development, with at least 2 years in a senior or lead role.
• Expert proficiency in JavaScript/TypeScript and Node.js.
• Deep experience with GraphQL and REST API design and implementation.
• Strong understanding of API architecture, authentication, and authorization mechanisms.
• Hands-on experience with relational databases (MS SQL, PostgreSQL, Oracle DB).
• Proficiency with Docker for containerization and deployment.
• Familiarity with event driven architecture (SNS/SQS, Kafka)
• Knowledge of API gateway technologies and microservices architecture.
• Ability to communicate complex technical concepts to non-technical stakeholders clearly and effectively.
• Proven track record of delivering scalable integration solutions in enterprise environments.

Preferred Qualifications:

• Experience with enterprise systems integration (CPQ, ERP, PLM, CRM).
• Familiarity with CI/CD pipelines, DevOps practices, and cloud platforms (AWS, Azure, or GCP).
• Strong leadership and mentoring skills, with the ability to influence technical direction.

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: AWS DevOps Engineer

Location: Charlotte, NC

Salary: Market Rate

Job Description:

We are seeking a highly skilled Senior DevOps Engineer with strong expertise in AWS cloud infrastructure automation databases and modern containerized environments The ideal candidate will have experience designing implementing and maintaining scalable secure and reliable systems while enabling fast and efficient development workflows You will work closely with development architecture and operations teams to build robust CICD pipelines automate infrastructure provisioning and ensure high availability of business critical applications

Key Responsibilities:

• Design implement and manage AWS cloud infrastructure EC2 S3 Lambda ECSEKS etc with scalability and security in mind
• Develop and maintain Infrastructure as Code IaC using Terraform
• Build manage and optimize Docker base images and containerized application stacks
• Orchestrate and maintain Kubernetes EKS clusters for production and staging environments
• Set up manage and optimize CICD pipelines in GitLab to support fast reliable deployments
• Manage MCP servers and ensure reliable operations for critical services
• Automate operational tasks and workflows using Python and JavaScript
• Support fullstack teams React Nodejs by providing containerized environments and deployment strategies
• Manage and optimize databases SQL PostgreSQL for performance security and scalability
• Integrate and manage AWS streaming services Kinesis MSK Kafka or similar for realtime data pipelines
• Implement container image security scanning governance and lifecycle management
• Monitor system performance availability and cost implementing proactive improvements
• Ensure compliance with security and governance standards across cloud infrastructure and database layers
• Collaborate with developers and architects to improve application delivery scalability and resilience

Required Skills Qualifications:

• 8 years of experience in DevOps Cloud Infrastructure
• Strong Handson experience with AWS services EC2 S3 ECSEKS Lambda VPC IAM CloudWatch Kinesis MSK
• Proficiency in Terraform for infrastructure automation
• Expertise with Docker including base image creation and Kubernetes orchestration
• Strong scripting programming skills in Python and JavaScript
• Experience with GitLab CICD for pipelines automation and environment management
• Strong database experience with SQL and PostgreSQL setup scaling replication performance tuning
• Exposure to streaming architectures AWS Kinesis Kafka MSK or similar
• Experience supporting React based applications from a DevOps perspective
• Familiarity with MCP servers and containerized service deployments
• Knowledge of cloud cost optimization and security best practices
• Strong problem-solving troubleshooting and communication skills
• Preferred Qualifications
• AWS certifications eg AWS Certified Solutions Architect DevOps Engineer Professional
• Experience with monitoring observability tools Prometheus Grafana ELK Datadog
• Knowledge of networking load balancing and distributed system design
• Familiarity with Agile Scrum methodologies

Skills

• Mandatory Skills : AWS Lambda, Docker, Python
• Good to Have Skills : Ansible, Git, Kubernetes

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.

Hybrid 4 days on-site in Englewood, CO

The organization is a leading telecommunications and media provider serving over 26 million customers across 41 states under a nationally recognized brand. It ranks among the largest cable and pay TV operators in the United States and is also a significant residential telephone provider. Founded in 1993 and publicly traded on NASDAQ, the company employs approximately 98,000 people and maintains substantial assets. More information is available at the company’s public website.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $60.00 to $66.00/hr. w2

Responsibilities

• Build, test, and deliver major features across multiple web applications using React.js, Node.js, and TypeScript.
• Collaborate with product and engineering teams to design and implement scalable front-end and back-end solutions.
• Develop and consume REST and GraphQL APIs to support application functionality.
• Implement semantic HTML, CSS, and SCSS with a focus on accessibility and responsive design.
• Apply web performance, security, and browser API best practices in all deliverables.
• Write unit tests with Jest and Enzyme or React Testing Library and contribute to automation testing with Cypress or Selenium.
• Work with SQL and NoSQL databases including PostgreSQL, MySQL, and MongoDB.
• Containerize and deploy services using Docker, Kubernetes, and AWS.
• Coordinate with distributed and offshore teams to ensure timely delivery and quality.

Experience Requirements

• 7+ years professional experience with Vanilla JavaScript and React.js development.
• Experience functioning as a lead or in a senior developer capacity with leadership responsibilities.
• 3+ years in Node.js back-end development.
• Professional experience with TypeScript.
• Prior experience coordinating with offshore teams in India.
• 2+ years professional experience consuming REST APIs.
• 1+ years professional experience with SQL/NoSQL databases such as PostgreSQL, MySQL, or MongoDB.
• Strong experience with semantic HTML, CSS, and SCSS styling.
• Experience implementing accessibility standards.
• React unit testing using Jest and either Enzyme or React Testing Library.
• Experience with React state management libraries such as Redux or Apollo.
• Experience consuming and building REST and/or GraphQL APIs.
• Knowledge of web development best practices including performance, security, and browser APIs.
• Experience with Docker and Kubernetes.
• Experience with AWS.
• Experience with automation testing tools such as Cypress or Selenium.

Education Requirements

• Bachelor’s degree or equivalent education in Computer Science, Information Technology, or a related field.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact

Job ID: JN -

Job Title: MLOps Engineer (Dataiku and AWS SageMaker)

Location: Reading, Pennsylvania (Onsite – 5 Days/Week at Client Location)

Employment Type: Contract / Long-Term

Role Overview

We are seeking a hands-on MLOps Engineer with strong experience in Dataiku and AWS SageMaker to design, deploy, and operate scalable machine learning and generative AI solutions. The ideal candidate will have experience building agentic AI systems, RAG pipelines, and production-grade ML infrastructure on AWS while ensuring reliability, governance, and performance at scale.

This role requires deep expertise in LLMOps, CI/CD automation, containerization, cloud infrastructure, and observability frameworks to support enterprise AI workloads.

Key Responsibilities

Agentic AI System Design

• Design and implement multi-agent architectures including planner, researcher, retriever, executor, and reviewer agents.
• Define agent collaboration policies, memory strategies (short/long-term), and tool orchestration frameworks.
• Implement supervisor policies and guardrails to ensure safe agent collaboration.

Retrieval-Augmented Generation (RAG) Development

• Build high-quality RAG pipelines including ingestion, chunking, embeddings, indexing, and retrieval workflows.
• Implement evaluation frameworks for precision, recall, groundedness, and hallucination detection.
• Ensure proper citation mechanisms and guardrails for enterprise-grade AI applications.

AWS-Based AI/ML Production Deployment

• Deploy and manage AI solutions using AWS services including:
• Amazon Bedrock (Agents, Knowledge Bases, Flows)
• AWS Lambda
• API Gateway
• S3
• DynamoDB
• OpenSearch / Vector Databases
• Step Functions
• CloudWatch
• Enable scalable, secure, and fault-tolerant AI systems in production environments.

MLOps / LLMOps Implementation

• Build automated CI/CD pipelines using GitOps practices.
• Implement containerization using Docker and Kubernetes.
• Manage Infrastructure as Code (IaC) and deployment pipelines.
• Implement secure secrets management, IAM policies, blue-green deployments, and rollback mechanisms.

Observability and Model Evaluation

• Instrument telemetry including traces, token usage, cost tracking, and latency monitoring.
• Build dashboards using Grafana or CloudWatch for operational visibility.
• Implement human-in-the-loop review systems, A/B testing, and continuous evaluation pipelines.

Reliability and Scalability

• Implement caching strategies, queue management, rate limiting, and retry/backoff mechanisms.
• Ensure system reliability through idempotency patterns and drift detection mechanisms.
• Monitor and optimize system performance under scale.

Collaboration and Communication

• Work closely with DevOps, Data Engineering, Infrastructure, and Architecture teams.
• Document system architectures, SLIs/SLOs, and operational runbooks.
• Communicate technical updates and insights to both technical and non-technical stakeholders.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
• Proven experience building production-grade MLOps pipelines and AI systems.
• Hands-on experience with Dataiku and AWS SageMaker.
• Experience designing and deploying RAG pipelines and agent-based AI architectures.
• Strong expertise in cloud platforms for AI/ML workloads (AWS preferred).
• Solid experience with CI/CD pipelines, Git, Docker, and Kubernetes.
• Understanding of model governance, data governance, and AI lifecycle management.
• Excellent communication, problem-solving, and collaboration skills.

Preferred / Nice to Have Skills

• Experience with AWS Bedrock (Agents, Knowledge Bases, Flows).
• Experience with OpenSearch or other vector databases.
• Familiarity with LangGraph, CrewAI, Semantic Kernel, or AutoGen frameworks.
• Experience with Step Functions, Lambda, API Gateway, DynamoDB, and S3.
• Knowledge of evaluation frameworks for LLMs including groundedness and hallucination detection.
• Dataiku platform expertise including governance, approvals, artifacts, and MLOps deployment flows.

Certifications (Nice to Have)

• Dataiku ML Practitioner
• Dataiku Advanced Designer
• Dataiku MLOps Practitioner

Backend Engineer to drive the evolution of our Go-based detection platform

Experience with YARA/YARA‑X or similar pattern engines

Experience with Kafka stream-processing

Proficiency with Docker/Docker Compose, Dockerfile optimization, and Makefile-driven workflows.

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220

CarMax, the way your career should be!

Essential Responsibilities:

• Identify new opportunities for ML and AI solutions and build and cultivate relationships with leaders across the organization to foster those partnerships
• Influence partners and stakeholders in Data Science and other teams across the organization to prioritize objectives and provide a comprehensive approach to solution recommendations that includes ROI, time to market, scalability as well as alternative recommendations
• Communicate effectively with senior leadership to share progress, raise any roadblocks or impediments to delivery, and also spread awareness of your teams’ achievements
• Create the strategic roadmap that will guide the direction and goals for the team, both in terms of individual project impacts but also overall standards for machine learning and AI utilization in the organization
• Empower your direct reports to lead their teams by providing them with the resources, training, feedback, and a sounding-board to be successful in their roles
• Develop people through effective communication and ongoing feedback
• Manage the budget of your area including budget planning and estimating costs of future development and tracking spend on an ongoing basis
• Create an inclusive and engaging culture for a team of remote and hybrid engineers with varying levels of experience
• Work through others to deliver resilient and scalable technology solutions that solve for complex business problems
• Help drive the broader understanding of the use of machine learning and AI by interfacing with key roles in Operations, Legal, Security, and Technology
• Stay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can be
• Quickly learning the CarMax technology standards and norms and ensuring that your teams follow best practices for change management, security, etc.
• This role will have on-call expectations to be available for major incidents and issues that affect your team’s applications.

Minimum Qualifications:

• Bachelor’s Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Optional for sponsorship needs: Master’s Degree in Computer Science, Computer Engineering, or relevant technical field
• 10+ years of software-engineering experience in an enterprise-level environment in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering
• 5+ years’ experience managing direct reports
• 5+ years’ experience with microservices software architecture
• 5+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support
• 5+ years’ experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
• Demonstrated ability to provide vision for the Cloud Engineering, Software Engineering, and Machine-Learning spaces and inspire teams towards the future
• Proven ability to strategically prioritize by balancing business delivery and value generating work with technical debt and engineering excellence
• Proficient in developing in Python
• Experience with scripting languages such as shell scripts
• Experience in DevOps practices, testing frameworks, and CI/CD
• Experience with Model Development and Deployment (MLFlow, Azure ML)
• Experience with container orchestration (Kubernetes, Docker)
• Experience communicating and working across functions to drive organization-wide solutions

Preferred Qualifications:

• Previous experience deploying large-scale applications on Azure
• Familiarity with MLOps and industry-standard machine-learning Python libraries
• Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)
• Advanced AI/ML specializations (reinforcement learning, deep learning, NLP)
• Proficient in an object-oriented programming language (i.e. C#, Java)
• Experience using large language models (LLMs) with semantic search frameworks for chatbot implementations

Software Specific Qualifications:

• Experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
• Proficiency developing and debugging in Python
• Experience with Model Development and Deployment (MLFlow, Azure ML)
• Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)
• Experience with scripting languages such as shell scripts
• Experience in DevOps practices, testing frameworks, and CI/CD
• Proficiency in version control systems (Git) for AI/ML model versioning
• Experience with container orchestration (Kubernetes, Docker)

Job Title: Cloud Systems Engineer

Location: Pleasonton, CA - Onsite with 80%

Duration: 9 Months

Pay Range: $70/hr -$90/hr on W2 (DOE)

Description:

This hybrid cloud role will be part of a talented team that is responsible for the growth, on-going maintenance and development of IaaS running primarily on Linux and Windows in cloud and on-premises. Provides level 3 support (on an on-call support rotation model) for complex systems and applications. Work across product teams and operations to design and implements tools that automate infrastructure configurations, provisioning, builds, and deployments.

This position will be remote and will need to work nights and weekends.

Responsibilities:

• Updating, designing, and adding automation for provisioning and managing infrastructure, operating system, and middleware components.
• Designing, engineering, and maintaining a highly complex and secure cloud environment for Oracle and Azure Cloud.
• Provide support for complex system and applications, rolling out new systems, maintaining, migrating, upgrading and improving the long-term performance of the systems.
• Perform as a member of the systems administration team to support the installation, optimization, integration, troubleshooting, backup, recovery, modification, security, and upgrading of IT systems and components to provide services that enable customers to effectively apply IT to business requirements
• Have knowledge of tools and mechanisms for distributing new or upgraded software to ensure customers receive current versions of supported software, as they become available.
• Shall be able to work with other senior staff to recommend and design systems architecture and topology from both general and specific perspectives.
• Provide an on-call support rotation model.

•Collaboration & Influencing

•Learning Agility

•Drives Results

•Customer Impact

Skills and Experience:

• Bachelor's degree or equivalent experience in IT Preferred and 6+ years of progressive experience in engineering and design capacities, and documentation.
• The ideal candidate must be a self-starter with strong work habits and have mid-level career experience in maintaining large numbers of Linux and Windows servers in Bare Metal, ESX, and Cloud environments.
• Deep Understanding of Windows/Linux Fundamentals including Reading/Understanding system logs, run tracing and debugging tools, and network packet captures for analysis of resolving root cause.
• Implementing and Administering VMware ESX/ESXi/Vcenter, Creating vSwitches, Port groups, NIC Teaming, Bonding, and VLAN or Virtual Network Problem management.
• Experience with public cloud platforms – IaaS, PaaS, Kubernetes, Docker, and Vagrant (Azure & OCI are preferred)
• Experience with Automation technologies like Infrastructure as a Code with Chef, Terraform, and Jenkins. Deployment technologies such as, PXE Kickstart, Windows SCCM, and configuration managment for mobile devices. Scripting experience, specifically with Bash/python/Ruby/Perl/Powershell language Preferred.
• Experience with Warehouse or Manufacturing automation a plus working with PLC, Conveyance, and Warehouse Controls Systems, Understanding of Warehouse Management Systems, and Prior work with real-time systems Preferred
• Experience with Monitoring tools like Nagios or New-Relic and Kafka or other stream service.

Additional Skills:

• Github/Github Actions
• Ansible/Chef
• Azure/OCI Cloud
• Linux Containers/Kubernetes/Docker
• Oracle KVM / KVM
• Oracle Enterprise Linux

Benefits Info: Russell Tobin/Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.