Cloud platform technical lead id92209

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. 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 aCloud Platform Technical Leadto own the reliability and orchestration of an enterprise data platform in a regulated healthcare environment. MUST HAVES6+ years of professional experience in Cloud Engineering, Platform Engineering, Dev Ops or Site Reliability EngineeringDeep hands‐on expertise withAWS production environments , including cloud architecture, security, networking fundamentals, access management, monitoring, capacity, and operational troubleshooting.

Advanced experience withKubernetes and Amazon EKS , including workload deployment, cluster and application troubleshooting, observability, scaling, upgrades, access, and reliability.

Hands‐on experience operatingArgo Workflows or a comparable orchestration platformsupporting production data workloads.

Strong experience withInfrastructure as Code, preferably Terraform , and with source‐controlled configuration, CI/CD, release automation, and rollback practices.

Strong experience designing and operating observability, logging, monitoring, alerting, and incident‐routing solutions for distributed production platforms.

Demonstrated ability to lead major incidents and cross‐functional troubleshooting across infrastructure, applications, data pipelines, and analytics layers.

Experience operating production platforms with defined service levels, escalation paths, runbooks, change controls, release processes, and on‐call responsibilities.

Strong working knowledge of modern data platforms, includingSnowflake, S3‐based data lakes, SQL, dbt, managed ingestion tools such as Fivetran or HVR, and custom data pipelines.

Understanding of data quality, freshness, lineage, schema evolution, pipeline dependencies, backfills, and recovery procedures.

Proficiency inPython, Shell, Bash, or comparable languagesfor automation and operational tooling.

Ability to make well‐reasoned architecture and operational decisions, communicate tradeoffs, estimate work, identify risks, and guide teams through change.

Proven experience mentoring engineers, reviewing technical work, delegating ownership, and improving engineering processes across a distributed team.

Strong stakeholder‐management and communication skills, including the ability to collect requirements, explain technical risks, and present recommendations to client leaders.

Strong written and verbal English communication skills. Availability to work within the Lat Am service window of approximately 9:00 AM to 6:00 PM Eastern Time and participate in an agreed senior escalation and on‐call rotation. NICE TO HAVESExperience with data observability platforms such as SYNQ and operational tooling such as Splunk, Pager Duty, Opsgenie, or comparable solutions.

Experience implementing dependency‐aware alerting, selective auto‐remediation, impact analysis, or other advanced reliability practices.

Experience leading a managed service, platform operations team, Site Reliability Engineering function, or follow‐the‐sun support model.

Experience in healthcare, financial services, or another regulated environment. WHAT YOU WILL DOOwn the technical direction and end‐to‐end reliability of the managed Data Platform across AWS, Amazon EKS, Kubernetes, Argo Workflows, Snowflake, S3, Fivetran and custom ingestion pipelines, and Tableau dependencies.

Lead the technical transition into managed services, including platform discovery, dependency mapping, risk identification, knowledge