Technical Lead (Ruby On Rails, Ai-Native)

Jobgether; Rosario; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Health insurance

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 infrastructure as code, cloud architecture, and platform engineering across AWS, Kubernetes, Argo Workflows, Snowflake, and ingestion pipelines.

As a senior leader, you will drive the transition to managed services, oversee incident response, and shape platform reliability standards.

Qualifications

• 6+ years of professional experience in Cloud/Platform Engineering, DevOps, or SRE.
• Hands-on AWS production environment expertise covering architecture, security, networking, access, monitoring, and troubleshooting.
• Advanced Kubernetes and Amazon EKS experience including workloads, observability, and upgrades.
• Hands-on with Argo Workflows or similar orchestration for production data workloads.
• Strong Infra as Code experience (Terraform), with CI/CD, release automation, and rollback practices.
• Experience designing and operating observability, logging, monitoring, alerting, and incident routing for distributed platforms.
• Proven incident leadership across infra, apps, data pipelines and analytics layers.
• Experience with SLAs, runbooks, change controls, and on-call processes.
• Knowledge of Snowflake, S3 data lakes, SQL, dbt, and data ingestion tools (Fivetran, HVR).
• Python/Shell scripting for automation and tooling.
• Ability to communicate tradeoffs, estimate work, and guide teams through change.
• Mentoring engineers and improving engineering processes across distributed teams.
• Strong stakeholder management and client-facing communication.

Responsibilities

• Own the technical direction and end-to-end reliability of the managed Data Platform across AWS, EKS, Kubernetes, Argo Workflows, Snowflake, S3 and ingestion pipelines.
• Lead the transition to managed services including discovery, dependency mapping, risk ID, knowledge transfer, and readiness validation.
• Define cloud architecture principles, IaC standards, CI/CD, observability patterns, and platform priorities.
• Provide technical leadership for AWS, Kubernetes, EKS operations, Argo Workflows, deployment automation, access management, capacity and reliability.
• Translate business and security needs into technical requirements and a prioritized backlog.
• Guide cross-platform decisions involving Snowflake, dbt, Fivetran, ingestion, and data lake operations.
• Lead complex cross-platform troubleshooting and escalate to L3 incidents.
• Direct technical response during major incidents with post-incident reviews and preventive actions.
• Ensure changes/releases have proper technical reviews, dependency analysis, rollback planning, and traceability.

Skills

Cloud Engineering

Platform Engineering

DevOps

Site Reliability Engineering

AWS

Kubernetes

Argo Workflows

IaC (Terraform)

CI/CD

Observability

Incident Management

Python/Shell scripting

Stakeholder mgmt

English communication

Tools

AWS

Kubernetes

Amazon EKS

Argo Workflows

Terraform

Snowflake

dbt

Fivetran

S3

Git/CI-CD tooling

Splunk

PagerDuty

Opsgenie

Job description

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