The Role
Audit AWS architecture, CI/CD pipelines, SDLC governance, and data-ingestion architecture for a media analytics platform. Evaluate MLOps infrastructure and AI-assisted development workflows, provide technical recommendations, assess risks and readiness, and mentor infrastructure engineers. The role is part-time advisory, stepping down from 50% to 25%, with direct reporting to leadership.
Summary Generated by Built In
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to review the AWS architecture, CI/CD, and data pipelines of a media analytics platform, and mentor the engineering team in a part-time advisory role.
MUST HAVES
- 4+ years of deep, current hands-on experience with AWS: ECS/Fargate, ECR, RDS (Postgres), S3, SageMaker, EventBridge, VPC/ALB/CloudFront, IAM.
- Fluency in Infrastructure-as-code, specifically Terraform.
- Proven track record designing or auditing CI/CD pipelines and SDLC governance (e.g., Alembic for schema/version control, environment separation, release gating).
- Strong data engineering depth to provide defensible opinions on ETL / ingestion architecture (managed tools vs. custom builds).
- Experience evaluating AI-assisted / LLM-assisted development workflows (e.g., Claude Code) from an engineering-quality and cost-governance standpoint.
- Comfortable operating in a part-time advisory capacity (50% stepping down to 25%) as a strong communicator who can mentor less experienced engineers.
- Upper-intermediate English level.
NICE TO HAVES
- Prior experience working with small, fast-moving engineering teams.
- Understanding of MLOps pipelines and data science infrastructure.
- Media/AdTech domain knowledge is helpful but not required.
WHAT YOU WILL DO
- Audit the current AWS architecture across live applications, including ECS/ECR, RDS (Postgres), S3, VPC, CloudFront/SSO, and SageMaker-based MLOps pipeline design.
- Review the CI/CD process and end-to-end app development lifecycle, recommending SDLC governance layers (schema versioning, environment separation, release gating).
- Evaluate how the team uses Claude Code (PR generation, automated reviews, token/cost management) to confirm output meets professional engineering standards.
- Provide an early technical opinion on ETL / data-ingestion pipeline architecture (managed ELT tooling vs. custom build).
- Mentor and accelerate the day-to-day infrastructure build team, focusing on AWS, DevOps, CI/CD, and data engineering practices.
- Set out recommendations and technical direction where the audit surfaces necessary changes to the current build.
- Report findings and recommendations directly to leadership, framing high-level risk and readiness.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
Skills Required
- 4+ years of deep, current hands-on AWS experience, including ECS/Fargate, ECR, RDS with PostgreSQL, S3, SageMaker, EventBridge, VPC, ALB, CloudFront, and IAM
- Fluency in infrastructure as code, specifically Terraform
- Experience designing or auditing CI/CD pipelines and SDLC governance
- Experience with schema/version control, environment separation, and release gating, such as Alembic
- Strong data engineering expertise in ETL and data-ingestion architecture
- Experience evaluating AI-assisted or LLM-assisted development workflows, such as Claude Code
- Ability to work in a part-time advisory capacity, initially 50% and stepping down to 25%
- Strong communication and mentoring skills
- Upper-intermediate English proficiency
- Experience with small, fast-moving engineering teams
- Understanding of MLOps pipelines and data science infrastructure
- Media or AdTech domain knowledge
Am I A Good Fit?
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The Company
What We Do
AgileEngine is a privately held company established in 2010 that builds dedicated teams of designers and developers. We turn good ideas into awesome software that people actually want to use. Some of the biggest names and the hottest startups around the world chose us to build their tech.
