Dev Lead

Eliassen Group; United States; Remote; USD 152,000 - 165,000; Full time

Benefits offered by this job

Medical, Dental, and Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a Dev Lead to own architecture, code quality, and delivery for an Agile squad building AI solutions that enable knowledge discovery and reuse. The role balances hands-on engineering with team leadership, unblocking, and partnership with a Product Owner.

The Dev Lead will drive technical direction, security, and performance while promoting agentic engineering practices and healthy engineering standards across services and interfaces.

Qualifications

• 7+ years of professional software engineering with solution architecture in complex enterprise environments.
• 1+ years building GenAI applications, including RAG, agentic search, workflows, and integrations with commercial LLMs.
• 2+ years leading or mentoring engineers.
• 2+ years as a senior or principal engineer with design, implementation, and operational ownership.
• 2+ years leading engineering work in Agile teams with Product Owners, Product Analysts, and Quality Engineers.
• Proficiency translating business requirements into technical designs.
• Hands-on Python with FastAPI for REST APIs and microservices.

Responsibilities

• Own solution architecture and design, balancing functionality with security, scalability, resilience, usability, performance, cost, and reuse.
• Set technical direction for the backlog, supply technical detail for stories, and support refinement and story mapping.
• Define squad technical priorities and advise the Product Owner on product priorities.
• Own service security and raise feasibility questions and risks early.
• Stay current on GenAI and emerging technologies and share insights across teams.
• Lead agentic engineering practices from planning through implementation and iteration.
• Own pull request process with AI-assisted review before human review and enforce coding norms and patterns.
• Maintain healthy code scanner findings and test coverage, and prevent new technical debt.
• Set guardrails for agent‑generated code and require validation against specifications and standards.
• Remove blockers, coach engineers on escalations, validate release timelines, and execute deployments.
• Manage technical dependencies within and across teams and improve squad velocity and flow.
• Foster a safe environment for questions, experimentation, and reversible mistakes; support team morale and balance.
• Model team expectations and deliver direct, constructive feedback.
• Join business conversations with the Product Owner to align technical work with outcomes and share knowledge through forums and sessions.

Skills

Python

FastAPI

REST APIs

ReactJS

GenAI

AWS

Azure

CI/CD

DevSecOps

Elasticsearch

Education

BA/BS or MS in Computer Science or related field

AWS or Azure cloud certification

Tools

SonarQube

Veracode

Job description

Description

Remote

Our client seeks a Dev Lead to own architecture, code quality, and delivery for an Agile squad building AI solutions that enable knowledge discovery and reuse. The role balances hands‑on engineering with team leadership, unblocking, and partnership with a Product Owner. The Dev Lead will drive technical direction, security, and performance while promoting agentic engineering practices and healthy engineering standards across services and interfaces.

We can facilitate w2 and corp‑to‑corp consultants. 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: $110.00 to $120.00/hr. w2

JN -102026-109242

Responsibilities

• Own solution architecture and design, balancing functionality with security, scalability, resilience, usability, performance, cost, and reuse.
• Set technical direction for the backlog, supply technical detail for stories, and support refinement and story mapping.
• Define squad technical priorities and advise the Product Owner on product priorities.
• Own service security and raise feasibility questions and risks early.
• Stay current on GenAI and emerging technologies and share insights across teams.
• Lead agentic engineering practices from planning through implementation and iteration.
• Own pull request process with AI-assisted review before human review and enforce coding norms and patterns.
• Maintain healthy code scanner findings and test coverage, and prevent new technical debt.
• Set guardrails for agent‑generated code and require validation against specifications and standards.
• Remove blockers, coach engineers on escalations, validate release timelines, and execute deployments.
• Manage technical dependencies within and across teams and improve squad velocity and flow.
• Foster a safe environment for questions, experimentation, and reversible mistakes; support team morale and balance.
• Model team expectations and deliver direct, constructive feedback.
• Join business conversations with the Product Owner to align technical work with outcomes and share knowledge through forums and sessions.

Experience Requirements

• 7+ years of professional software engineering with solution architecture in complex enterprise environments.
• 1+ years building GenAI applications, including RAG, agentic search, workflows, and integrations with commercial LLMs.
• 2+ years leading or mentoring engineers.
• 2+ years as a senior or principal engineer with design, implementation, and operational ownership.
• 2+ years leading engineering work in Agile teams with Product Owners, Product Analysts, and Quality Engineers.
• Proficiency translating business requirements into technical designs.
• Hands‑on Python with FastAPI for REST APIs and microservices.
• Front‑end development with ReactJS.
• Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
• Designing GenAI and LLM applications for retrieval and synthesis over large document collections.
• Systems integration, architecture standards and principles, and SaaS selection and integration.
• Elasticsearch development including indexing pipelines, relevancy tuning, and search performance.
• CI/CD and DevSecOps, including code quality and security scanning with tools such as SonarQube and Veracode.
• Application testing, diagnostics, and performance tuning for a global user base.
• Clear technical documentation and architecture artifacts.
• Agentic engineering and specification‑driven development with reliable AI coding agent execution across the lifecycle while retaining human accountability.

Education Requirements

• BA/BS or MS in computer science, information sciences, or a similar field, or equivalent experience.
• AWS or Azure cloud certification preferred.