Lead AWS DevOps Engineer

Purplejack Technologies Llc

Bellevue, WA, United States

4 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Build Automation Cloud Computing Continuous Integration Extract Transform Load (ETL) DevOps Distributed Systems Reliability Engineering Software Deployment Software Systems

+11 more

SQL Databases Systems Integration Retrieval-Augmented Generation Large Language Models Kubernetes Helm Charts Generative AI Build Management Gitlab-ci Kubernetes Software Coding Docker

Job description

Contribute to the architecture, design, and production deployment of enterprise-scale software releases using generative AI systems, including LLM orchestration, agent/skill creation, retrieval-augmented generation, evaluation, and operational monitoring.
Design and implement modular AI agents that connect to our core systems, and build clean abstractions that let non-technical users leverage these agents in useful workflows without writing code.
Build automation that streamlines release operations, operational reporting, and engineering workflows for generative AI-enabled systems.
Build and deploy containerized services and automation?packaging applications as Docker images, authoring Helm charts, and deploying to Kubernetes?and build and maintain the CI/CD pipelines (GitLab CI) that automate build, test, and release.
Build and maintain dashboards and reports that provide ongoing visibility into release health, model and system performance, and operational metrics for deployed GenAI solutions.
Build observability capabilities through dashboards, monitoring, alerting, tracing, and operational telemetry.
Troubleshoot complex production issues across applications, cloud infrastructure, Kubernetes, APIs, distributed systems, and enterprise integrations.
Provide technical guidance by mentoring junior engineers and contributing to technology decisions within the team.
Apply and help improve GenAI engineering standards, reference architectures, and guardrails that ensure scalability, security, cost efficiency, and responsible AI use.
Contribute reusable templates, patterns, and documentation that accelerate the team’s ability to deliver.
Develop generative AI-enabled software designs and improvements that enhance existing systems and processes.
Produce clear technical documentation and architecture descriptions for internal and external stakeholders.
Collaborate closely with Product Management, Platform Engineering, SRE, Security, UX, and engineering teams to deliver scalable, secure, and reliable software solutions.
Also responsible for other duties/projects as assigned by business management as needed. *

Requirements

7+ years of experience in full-stack development, SQL, and ETL.
7+ years of experience with CI/CD.
5+ years of IT Cloud experience.
4+ years of technical engineering experience.
Strong hands-on experience with AWS and DevOps.
Experience developing and deploying Generative AI/LLM solutions.
Experience with LLM orchestration, AI agents/skills, RAG, evaluation, and operational monitoring.