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 a Cloud Platform Technical Lead to own the reliability and orchestration of an enterprise data platform in a regulated healthcare environment. MUST HAVES - 6+ years of professional experience in Cloud Engineering, Platform Engineering, Dev Ops or Site Reliability Engineering - Deep hands-on expertise with AWS production environments , including cloud architecture, security, networking fundamentals, access management, monitoring, capacity, and operational troubleshooting. - Advanced experience with Kubernetes and Amazon EKS , including workload deployment, cluster and application troubleshooting, observability, scaling, upgrades, access, and reliability. - Hands-on experience operating Argo Workflows or a comparable orchestration platform supporting production data workloads. - Strong experience with Infrastructure 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, including Snowflake, 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 in Python, Shell, Bash, or comparable languages for 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 HAVES - Experience 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 DO - Own 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 transfer, shadowing, reverse shadowing, and readiness validation by platform tower. - Establish and evolve cloud architecture principles, Infrastructure as Code standards, CI/CD and release practices, observability patterns, operational controls, and platform engineering priorities. - Provide technical leadership for AWS infrastructure, Kubernetes and EKS operations, Argo Workflows, deployment automation, secrets and access management, platform capacity, and production reliability. - Translate business, service, security, and platform needs into actionable technical requirements, implementation plans,



and a prioritized continuous-improvement backlog. - Guide cross-platform decisions involving Snowflake, dbt, Fivetran, custom ingestion, S3 data-lake operations, workflow orchestration, data quality, and downstream analytics dependencies. - Lead complex cross-platform troubleshooting and L3 escalation, coordinating engineers when incidents span infrastructure, ingestion, orchestration, Snowflake, and Tableau. - Direct technical response during major incidents, including impact assessment, stakeholder communication, recovery strategy, root-cause analysis, post-incident review, and preventive actions. - Ensure that changes and releases include appropriate technical review, dependency analysis, validation, rollback planning, traceability, and coordination across affected platform components. - Define and monitor reliability indicators such as availability, ingestion success, data freshness, workflow reliability, deployment outcomes, alert quality, mean time to restore service, and recurring incident patterns. - Lead improvements in automation, observability, auto-remediation, platform resilience, deployment safety, performance, security, capacity management, and cloud cost efficiency. - Partner with Security, Governance, Analytics, IT, and platform stakeholders to ensure least-privilege access, secrets management, auditability, controlled changes, and appropriate handling of regulated data. - Review technical designs and high-impact changes, challenge assumptions, document tradeoffs, and ensure solutions remain secure, scalable, and supportable within the managed-service operating model. - Mentor Senior and Middle-level engineers, delegate ownership effectively, improve team practices, and build consistent technical capability across the distributed team. - Maintain alignment between the Lat Am and India coverage windows through clear ownership, escalation paths, operating procedures, and structured handoffs. - Participate in the senior escalation and on-call model for critical incidents outside staffed service hours. PERKS AND BENEFITS - Professional growth : Mentorship, Tech Talks, 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 : Adaptable schedule with remote and office options. #J-18808-Ljbffr

📌 Cloud platform lead: reliability & orchestration (Tijuana)
🏢 Agileengine
📍 Tijuana