Senior Devops Engineer - Remote Latam & Multi-Cloud

Prometeo Talent; Quilmes; Hybrid; ARS 169,108,000 - 230,602,000; Full time

Benefits offered by this job

Professional growth

USD-based compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI‑compliant environment. The role emphasizes independence, collaboration, and on‑call readiness across time zones.

You will own pipelines, manage IaC, and shape the DevOps strategy across AWS/Azure/GCP, with strong emphasis on security, reliability, and rapid delivery. Fluency in English is required.

Qualifications

• 4+ years of professional DevOps, SRE, or platform-engineering experience operating production services.
• 3+ years building CI/CD pipelines and managing infrastructure as code (Terraform, Pulumi, or CloudFormation).
• Experience with Kubernetes and container tooling (Docker, Helm, ArgoCD, Flux).
• Strong scripting in Python, Bash, or Go; solid SQL; proficient with at least one cloud (AWS/Azure/GCP).
• Hands-on with observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
• Knowledge of cloud security/compliance, PCI-aware environments.
• Ability to work independently and in teams across time zones, including on-call rotations.
• Strong written and verbal communication with technical and non-technical stakeholders.

Responsibilities

• Strategize DevOps roadmap for Data & AI teams and observability.
• Design cloud infrastructure as code for AWS/Azure/GCP using Terraform/Pulumi/CloudFormation.
• Own CI/CD pipelines across GitHub Actions, Jenkins, GitLab CI with automated testing and rollbacks.
• Operate Kubernetes clusters and container workloads with ArgoCD/Flux and related tooling.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK, Datadog and define SLO-driven alerts.
• Implement PCI-aware security/compliance controls and secret management.
• Lead incident response with on-call rotations and blameless post-mortems.
• Collaborate with developers to improve dev experiences and internal tooling.
• Contribute to platform standards and knowledge sharing across teams in multiple regions.
• Engage with engineers, QA, DBAs, and product partners across environments.

Skills

DevOps

SRE

CI/CD pipelines

Terraform

Kubernetes

Docker

GitHub Actions

Jenkins

Cloud platforms

Observability

PCI compliance

On-call rotations

Communication

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

Terraform

Pulumi

CloudFormation

GitHub Actions

Jenkins

GitLab CI

CircleCI

Kubernetes

Docker

ArgoCD

Flux

Prometheus

Grafana

OpenTelemetry

ELK

Datadog

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 DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI‑compliant environment.

MUST HAVES

• 4+ years of professional DevOps, SRE, or platform‑engineering experience operating production services.
• 3+ years of hands‑on experience building CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, or CircleCI) and managing infrastructure as code (Terraform, Pulumi, or CloudFormation).
• Working knowledge of Kubernetes (EKS, AKS, or GKE) and container tooling (Docker, Helm, ArgoCD, or Flux).
• Strong scripting skills in Python, Bash, or Go; solid SQL skills and strong comfort with at least one cloud platform (AWS, Azure, or GCP).
• Hands‑on experience with observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
• Solid understanding of cloud security and compliance practices, particularly in PCI‑compliant or regulated environments.
• Proven ability to work independently and within a team, managing priorities across concurrent projects and time zones, including on‑call rotations.
• Strong written and verbal communication skills; able to work effectively with both technical and non‑technical stakeholders.
• Upper‑intermediate English level.

NICE TO HAVES

• Experience operating Dataiku DSS, Snowflake, or other large‑scale data and analytics platforms in production.
• Experience with service meshes (Istio, Linkerd), API gateways, and zero‑trust networking.
• Experience with policy‑as‑code (OPA / Rego, Checkov, tfsec) and supply‑chain security (SBOM, Sigstore).
• Experience with FinOps practices and cloud cost optimization.
• Experience supporting ML or LLM workloads — GPU scheduling, model‑serving infrastructure, vector databases, or LangSmith / Langfuse.
• Experience with database administration / reliability for PostgreSQL, MySQL, or Snowflake.
• Experience in loyalty, martech, adtech, or a comparable data‑rich B2B domain.

WHAT YOU WILL DO

• Strategy, Roadmap & Vision – build the roadmap for DevOps and observability in Data & AI teams.
• Design and build cloud infrastructure as code with Terraform (or Pulumi / CloudFormation), packaging reusable modules for AWS, Azure, or GCP.
• Own CI/CD pipelines in GitHub Actions, Jenkins, or GitLab CI — build, test, security scanning, blue‑green or canary deploys, and automated rollback.
• Operate Kubernetes clusters (EKS, AKS, or GKE) and container workloads with LENS, Helm, ArgoCD, or Flux — incl. autoscaling, ingress, secrets, and policy.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog — metrics, logs, traces, dashboards, and SLO‑driven alerting.
• Implement security and compliance controls: IAM, SSO, secrets management (Vault / KMS), vulnerability scanning, policy‑as‑code (OPA, Checkov), and PCI‑aware patterns.
• Lead incident response — on‑call, runbooks, blameless post‑mortems, and continuous reliability work to drive down MTTR and toil.
• Partner with developers on local dev experience, golden paths, internal platform tooling, and developer self‑service.
• Help shape internal platform standards as the stack evolves, contributing to design reviews and sharing knowledge across the India and U.S. teams.
• Participate in a collaborative DevOps environment, working closely with developers, AI engineers, QA, DBAs, and product partners across environments.

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.

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 DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI‑compliant environment.

MUST HAVES

• 4+ years of professional DevOps, SRE, or platform‑engineering experience operating production services.
• 3+ years of hands‑on experience building CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, or CircleCI) and managing infrastructure as code (Terraform, Pulumi, or CloudFormation).
• Working knowledge of Kubernetes (EKS, AKS, or GKE) and container tooling (Docker, Helm, ArgoCD, or Flux).
• Strong scripting skills in Python, Bash, or Go; solid SQL skills and strong comfort with at least one cloud platform (AWS, Azure, or GCP).
• Hands‑on experience with observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
• Solid understanding of cloud security and compliance practices, particularly in PCI‑compliant or regulated environments.
• Proven ability to work independently and within a team, managing priorities across concurrent projects and time zones, including on‑call rotations.
• Strong written and verbal communication skills; able to work effectively with both technical and non‑technical stakeholders.

WHAT YOU WILL DO

• Strategy, Roadmap & Vision – build the roadmap for DevOps and observability in Data & AI teams.
• Design and build cloud infrastructure as code with Terraform (or Pulumi / CloudFormation), packaging reusable modules for AWS, Azure, or GCP.
• Own CI/CD pipelines in GitHub Actions, Jenkins, or GitLab CI — build, test, security scanning, blue‑green or canary deploys, and automated rollback.
• Operate Kubernetes clusters (EKS, AKS, or GKE) and container workloads with LENS, Helm, ArgoCD, or Flux — incl. autoscaling, ingress, secrets, and policy.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog — metrics, logs, traces, dashboards, and SLO‑driven alerting.
• Implement security and compliance controls: IAM, SSO, secrets management (Vault / KMS), vulnerability scanning, policy‑as‑code (OPA, Checkov), and PCI‑aware patterns.
• Lead incident response — on‑call, runbooks, blameless post‑mortems, and continuous reliability work to drive down MTTR and toil.
• Partner with developers on local dev experience, golden paths, internal platform tooling, and developer self‑service.
• Help shape internal platform standards as the stack evolves, contributing to design reviews and sharing knowledge across the India and U.S. teams.
• Participate in a collaborative DevOps environment, working closely with developers, AI engineers, QA, DBAs, and product partners across environments.

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.

Job Description

We are looking for a highly skilled DevOps Specialist to architect, implement, and maintain end‑to‑end CI/CD pipelines using GitHub, with a strong focus on test‑driven deployment, automated release management, and Infrastructure as Code (IaC) practices.

Responsibilities

• Lead the design, architecture, and management of CI/CD pipelines using GitHub Actions (and similar tools), ensuring fast, reliable, and reproducible software delivery.
• Implement and enforce test‑driven deployment systems, integrating automated testing, validation, and monitoring to maintain code quality and accelerate feedback cycles.
• Containerize applications and microservices with Docker, optimize image builds, and manage deployment pipelines for distributed environments.
• Develop and maintain cross‑platform build pipelines using CMake or equivalent tools, ensuring consistent compilation and release workflows across web, desktop, and mobile.
• Automate end‑to‑end release processes, including tagging, building, signing, and distributing mobile, web, and desktop applications.
• Define and manage Infrastructure as Code (IaC) to provision and maintain reliable, scalable, and secure infrastructure environments.
• Collaborate closely with development, QA, and operations teams to troubleshoot deployment issues, optimize performance, and improve release reliability.
• Continuously improve observability and feedback loops, leveraging monitoring and alerting systems to maintain operational excellence.

Mandatory

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
• 3+ years of hands‑on experience architecting and maintaining CI/CD pipelines using GitHub Actions or equivalent tools at scale in a production environment.
• Strong proficiency in test‑driven deployment methodologies, including writing and maintaining automated test suites for integration and end‑to‑end validation.
• Expertise in containerization technologies such as Docker, including image creation, registry management, and basic orchestration patterns.
• In‑depth knowledge of C++ build systems, specifically CMake, with proven experience optimizing native build and deployment pipelines.
• Advanced Linux system administration and networking skills, including shell scripting, package management, performance troubleshooting, firewalls, and VPN configuration.
• Excellent communication, problem‑solving, and collaboration skills, with the ability to work effectively in globally distributed teams.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, AWS CDK or AWS CloudFormation.
• Experience with mobile CI/CD automation, including build, tagging, and publication for iOS and Android applications.
• Advanced knowledge of release management practices, including automated versioning, signing, and artifact distribution.

Preferred

• Exposure to observability and monitoring systems, leveraging tools like Prometheus, Grafana, or ELK for deployment health tracking.
• Experience working in high‑availability, security‑sensitive environments, especially in fintech, blockchain, or distributed systems contexts.
• Experience deploying and managing blockchain‑based applications.
• Exposure to AI/ML pipelines, including automated model training, evaluation, and deployment using frameworks like PyTorch or TensorFlow.

Important Information for Candidates

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Job Description

We are looking for a Senior DevOps Engineer with strong expertise in AWS, infrastructure automation, CI/CD, and managing high‑availability, high‑throughput, low‑latency production environments.

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We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

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