Technical Lead (Ediscovery Products)

Ryz Labs; Buenos Aires; Hybrid; ARS 181,747,000 - 227,183,000; Full time

Benefits offered by this job

Mentorship

Remote options

Fortune 500 exposure

Job summary

AgileEngine is seeking a Cloud Platform Technical Lead to own the reliability and orchestration of an enterprise data platform in a regulated healthcare environment. You will lead incident responses, drive platform engineering priorities, and ensure secure, scalable cloud operations across AWS, EKS, Snowflake, and data ingestion tools.

The role requires 6+ years in cloud engineering, strong Kubernetes and Argo workflows expertise, IaC with Terraform, and excellent English communication.

Qualifications

• 6+ years of Cloud/Platform/SRE or DevOps experience in production
• Strong AWS knowledge including security, networking, IAM, monitoring, troubleshooting
• Advanced Kubernetes/EKS expertise for workload deployment and reliability
• Hands-on with Argo Workflows or similar orchestration tools
• IaC experience with Terraform and CI/CD/release automation
• Observability, logging, monitoring, and incident response capability
• Leadership in cross-functional incident management and on-call rotations
• Experience with modern data platforms like Snowflake, S3, SQL, dbt
• Proficiency in Python/Sh/Bash for automation
• Excellent stakeholder management and English communication

Responsibilities

• Own the reliability and orchestration of the data platform across AWS/EKS and Snowflake
• Lead the transition to managed services with platform discovery and risk mapping
• Define cloud architecture principles, IaC standards, and CI/CD practices
• Provide technical leadership for AWS, Kubernetes, Argo Workflows and data pipelines
• Translate business needs into technical requirements and backlogs
• Guide cross‑platform decisions involving Snowflake, dbt, and data ingestion
• Lead complex cross‑platform troubleshooting and major incident responses
• Ensure changes and releases have review, validation, rollback, and traceability
• Define and monitor reliability metrics and platform performance
• Mentor engineers and align LatAm/India coverage windows

Skills

Cloud engineering

SRE

Python

English communication

Leadership

Tools

Terraform

Kubernetes

Argo Workflows

Snowflake

Job description

AgileEngine – Cloud Platform Technical Lead

AgileEngine 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, 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 and Benefits

• Professional growth: Mentorship, TechTalks 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: Flexible schedule with remote and office options.

Requirements

• 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.