Cloud Platform Technical Lead

Há 4 meses

Rio Grande do Norte, Brasil Agileengine, Llc. Tempo integral

About the roleWe are looking for aCloud Platform Technical Leadto own the reliability and orchestration of an enterprise data platform in a regulated healthcare environment.
The mandatory requirements are6+ years of experiencein Cloud Engineering, Platform Engineering, Dev Ops, or Site Reliability Engineering, hands‐on experience withAWS EKSand data orchestration usingArgo Workflows , strong working knowledge of modern data platforms includingSnowflake, S3-based data lakes, SQL, and dbt , and strong English communication skills.
Must haves6+ years of professional experiencein Cloud Engineering, Platform Engineering, Dev Ops or Site Reliability Engineering
Deep hands‐on expertise withAWSproduction 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 Workflowsor a comparable orchestration platform supporting production data workloads.
Strong experience with Infrastructure as Code, preferablyTerraform , 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 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 verbalEnglish 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 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 asses