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.
The mandatory requirements are 6+ years of experience in Cloud Engineering, Platform Engineering, DevOps, or Site Reliability Engineering, hands-on experience with AWS EKS and data orchestration using Argo Workflows, strong working knowledge of modern data platforms including Snowflake, S3-based data lakes, SQL, and dbt, and strong English communication skills.
Must haves
- 6+ years of professional experience in Cloud Engineering, Platform Engineering, DevOps 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 LatAm 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, PagerDuty, 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 LatAm 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
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location
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Welcome to AgileEngine!
Have any questions?
What is the work format and schedule?
We are a remote-first company, so all our positions are remote. Schedules are flexible, but the main requirement is to have an overlap with your client’s schedule to ensure smooth collaboration. Specific details depend on the project and are discussed during the interview process.
What level of English is required?
We look for Upper-Intermediate (B2) proficiency or higher. Since you will be collaborating with international teams and global clients (including Fortune 500 companies), English is a part of your daily work.
Does AgileEngine provide work equipment?
It depends on your location. We provide equipment in Ukraine, Poland, Argentina, Colombia, Mexico, Brazil, Guatemala, Portugal, Spain, and India. In the USA, equipment is usually provided by the client; otherwise, you will be expected to use your own setup.
What opportunities for professional growth do you offer?
We support continuous growth through personalized development paths tailored to each expert. Also, you can expect:
- An annual learning and development budget
- Internal workshops, tech talks, and mentorship programs
- Opportunities to switch projects or grow into new roles over time
What does a typical team look like, and what tools do you use?
Teams vary by project, but you’ll usually work with a mix of experts across different fields, along with a delivery or project manager who supports collaboration and onboarding.
For day-to-day work, teams commonly use tools like Jira and Google Workspace, along with communication platforms such as Google Chat. Depending on the client, you may also work with Slack, Confluence, Notion, or similar tools.
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