Data engineering & infrastructure lead id88014

full time | agile engine | mexico

posted on 09/09/2026

job information

city puebla (heroica puebla)

state/province puebla

72000

it services

job description

agile engine 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.

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 part-time data engineering and infrastructure lead to audit aws architecture, ci/cd processes, and etl pipeline decisions in an advisory capacity. This person weighs managed tooling against custom builds, reviews sage maker-based mlops pipelines, and mentors the team on engineering standards. Evaluating ai-assisted development workflows is part of the role.

what you will do - audit the current aws architecture across live applications (mat / signal iq and the impact engine), including ecs/ecr, rds (postgres), s3, vpc, cloud front/sso, and sage maker-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, dev ops, 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. Must haves - 6+ years of deep, current hands-on experience with aws: ecs/fargate, ecr, rds (postgres), s3, sage maker, event bridge, vpc/alb/cloud front, 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. Nice to haves - prior experience working with small, fast-moving engineering teams. - understanding of mlops pipelines and data science infrastructure. - media/ad tech domain knowledge is helpful but not required. Perks and benefits - professional growth : accelerate your professional journey with mentorship, tech talks, and personalized growth roadmaps. - competitive compensation : we match your ever-growing skills, talent, and contributions with competitive usd-based compensation and budgets for education, fitness, and team activities. - a selection of exciting projects : join projects with modern solutions development and top-tier clients that include fortune 500 enterprises and leading product brands. - flextime : tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. #j-18808-ljbffr

📌 Data engineering & infrastructure lead id88014 (Heroica Puebla de Zaragoza)
🏢 Agileengine
📍 Heroica Puebla de Zaragoza