Remote Data Center Bi & Hardware Lead

Reboot Monkey; Buenos Aires; Hybrid; ARS 231,811,000 - 324,535,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based pay

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Cloud Platform Technical Lead to own reliability and orchestration of an enterprise data platform in a regulated healthcare environment. You will guide platform engineering across AWS, EKS, Argo Workflows, Snowflake, S3 and custom pipelines, ensuring secure, scalable operations.

Lead incidents, set IaC and CI/CD standards, and mentor engineers while collaborating with Security, Governance, Analytics and IT to meet service levels and regulatory requirements.

Qualifications

• 6+ years of professional experience in Cloud Engineering, Platform Engineering, DevOps or SRE.
• Deep hands-on AWS production environments experience including cloud architecture, security, networking, access management, monitoring, capacity and troubleshooting.
• Advanced experience with Kubernetes and Amazon EKS including workload deployment, troubleshooting, observability, scaling and upgrades.
• Hands-on experience operating Argo Workflows or a comparable orchestration platform for production data workloads.
• Strong Infrastructure as Code experience, preferably Terraform, plus CI/CD, release automation and rollback practices.
• Experience designing and operating observability, logging, monitoring, alerting, and incident-routing for distributed production platforms.
• Ability to lead major incidents and cross-functional troubleshooting across infrastructure, applications, data pipelines, and analytics layers.
• Experience operating production platforms with SLAs, runbooks, change controls, release processes, and on-call responsibilities.
• Strong knowledge of Snowflake, S3 data lakes, SQL, dbt and data ingestion tools like Fivetran or HVR, plus custom pipelines.
• Understanding of data quality, freshness, lineage, schema evolution, pipeline dependencies, backfills and recovery procedures.
• Proficiency in Python, Shell, Bash, or similar for automation and tooling.
• Ability to make architecture decisions, communicate tradeoffs, estimate work, and guide teams through change.
• Proven experience mentoring engineers and improving engineering processes across distributed teams.
• Strong stakeholder-management and English communication skills.
• Availability to work within LatAm service window (9:00 AM–6:00 PM ET) and participate in senior escalation/on-call rotation.

Responsibilities

• Own the technical direction and end-to-end reliability of the managed Data Platform across AWS, EKS, Kubernetes, Argo Workflows, Snowflake, S3, Fivetran and Tableau dependencies.
• Lead the technical transition into managed services, including platform discovery, dependency mapping and readiness validation.
• Establish and evolve cloud architecture principles, IaC standards, CI/CD and release practices, observability patterns and platform priorities.
• Provide technical leadership for AWS, Kubernetes/EKS, Argo Workflows, deployment automation, secrets and access management, capacity and reliability.
• Translate business and security needs into actionable requirements, plans and a continuous-improvement backlog.
• Guide cross-platform decisions involving Snowflake, dbt, Fivetran, ingestion, data-lake operations and analytics dependencies.
• Lead cross-platform troubleshooting and L3 escalation across infra, ingestion, orchestration, Snowflake and Tableau.
• Direct major incident response, including impact assessment, communication, recovery, root-cause analysis and preventive actions.
• Ensure changes/releases have technical review, dependency analysis, validation and rollback planning.
• Define and monitor reliability indicators like availability, ingestion success, data freshness, workflow reliability, deployment outcomes and MTTR.
• Lead automation, observability, auto-remediation, resilience, deployment safety, performance, security and cost-efficiency improvements.
• Collaborate with Security, Governance, Analytics, IT to ensure least-privilege access and proper handling of regulated data.
• Review designs, document tradeoffs and ensure secure, scalable, supportable solutions in the managed-service model.
• Mentor senior/mid engineers, delegate ownership and improve team practices across distributed teams.
• Maintain alignment between LatAm and India coverage windows via clear ownership and handoffs.
• Participate in senior escalation/on-call model for incidents outside staffed hours.

Skills

AWS production environments

Kubernetes and Amazon EKS

Argo Workflows

Infrastructure as Code

Observability/Monitoring

Incident management/on-call

Data pipelines/Data platforms

Python scripting

Mentoring/leadership

SQL/dbt

Data quality/ lineage

Architecture decisions

Tools

Kubernetes

Terraform

Argo Workflows

Snowflake

Fivetran

dbt

Tableau

S3

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 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 software engineering experience developing applications and services hosted on public cloud infrastructure. 2+ years of experience with cloud infrastructure deployment pipelines and infrastructure as code (IaC). 2+ years of experience developing Agentic models (e.g., OpenAI, Anthropic) using grasp Retrieval‑Augmented Generation (RAG) and Vector databases. Proven capability of technical leadership in a global organization developing technology strategy and driving technology programs. Proven capability to lead and mentor engineers in a distributed, asynchronous, follow‑the‑sun model.