Description: Hybrid 3 days/week in Concord, CAThis role leads large-scale, complex technology initiatives and helps establish enterprise-wide engineering standards and best practices. It involves full-stack software engineering-designing, coding, testing, debugging, and documenting solutions-while also reviewing and evaluating advanced technical architectures that support both tactical and strategic business goals.
A key focus of the role is contributing to Generative AI platform development, including delivering AI/ML models to on-prem and cloud platforms such as Google Cloud Platform Vertex AI and Azure ML. The position participates in daily Agile standups, provides SME guidance to data science teams, and collaborates closely with engineering, platform, and strategy teams to define infrastructure requirements and support cloud migration.
The engineer researches industry trends, evaluates new technologies, and drives the adoption of automation-first practices. As an expert resource within DTI, the role supports other technical teams and helps solve complex technical challenges across the organization.
The ideal candidate brings strong experience in Linux, DevOps, CI/CD pipelines, infrastructure as code (Terraform), containerization (Docker, OpenShift), cloud platforms (Google Cloud Platform, Azure), AI/ML operations, and cloud-native toolchains. Additional strengths include hands-on Generative AI/LLM capabilities, vector databases, observability stacks, and leading technically complex discussions. Strong analytical, problem-solving, and communication skills are essential.
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: $70.00 to $75.00/hr. w2
Responsibilities: - Lead complex technology initiatives with enterprise-scale impact.
- Develop and promote standards and best practices for large-scale engineering solutions.
- Design, code, test, debug, and document software for projects and programs.
- Review and analyze complex technology architectures to meet tactical and strategic objectives.
- Contribute to Generative AI platform capabilities and toolchains.
- Deliver AI models to on-prem infrastructure and cloud platforms including Google Cloud Platform Vertex AI and Azure ML.
- Participate in daily standups to advance platform capability builds.
- Provide subject matter expertise guidance to data science teams.
- Collaborate with engineering strategy, platform engineering, and development teams to define infrastructure requirements and drive cloud migration.
- Research and evaluate new technologies, and recommend automation-focused solutions.
- Serve as an expert resource for other technical teams within the organization.
Experience Requirements: - 4+ years of software engineering experience.
- 4+ years with Gradle or Maven.
- 3+ years with Python.
- 4+ years of build-deploy automation and configuration in Linux and Unix environments.
- 4+ years troubleshooting across applications and infrastructure.
- 3+ years with Docker and container image development.
- 3+ years with OpenShift Container Platform.
- 3+ years administering Jenkins and creating jobs, and experience with GitHub Actions.
- 3+ years applying DevOps practices in enterprise CI/CD environments.
- 3+ years with Terraform including module engineering, state management, and enterprise execution.
- 3+ years of advanced Infrastructure as Code experience.
- 3+ years with Google Cloud Platform including managing Google Cloud Platform resources via Terraform.
- 3+ years with cloud-native AI toolchains and observability stacks including Vertex AI and Azure ML.
- 3+ years of advanced git/GitHub proficiency.
- 2+ years with LLMs and Generative AI for developer and operations capabilities.
- 2+ years with Elasticsearch, vector databases, and model deployment.
- 2+ years supporting AI/ML solutions in enterprise environments on Google Cloud Platform or Azure.
- Experience deploying applications to OpenShift and managing OCP workloads (preferred).
- Understanding of UrbanCode Deploy or Harness CD tools (preferred).
- Google Cloud Platform Associate Cloud Engineer or higher certification (preferred).
- Knowledge of cloud computing, PaaS, microservices, and containers (preferred).
- Experience with Kubernetes and Docker across on-prem and public cloud (preferred).
- Experience leading analysis of current systems and resolving complex problems (preferred).
- Ability to lead technically complex discussions and working sessions (preferred).
- Understanding of MDLC components including model registry, versioning, monitoring, and reproducibility (preferred).
- Experience with real-time inferencing, event-driven architectures, or high-throughput pipelines (preferred).
- Strong analytical, problem solving, and communication skills (preferred).
Education Requirements: - Google Cloud Associate Cloud Engineer certification (preferred).
Recruitment Transparency NoticeEliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.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 Eliassen.com 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 .About Eliassen Group:Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate.Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check! 
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