Remote Aws Devops & Sre For Data & Ai Platforms

Bluelight Consulting; Buenos Aires; Híbrido; ARS 3.000.000 - 7.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Flexible schedule

Remote options

Descripción de la vacante

AgileEngine is seeking a Senior DevOps Engineer with strong expertise in AWS, infrastructure automation, CI/CD, and managing high-availability production environments operating 24/7. You will design, deploy, and maintain scalable cloud infrastructure, with a focus on reliability, security, and cost efficiency across multi-account setups.

The role emphasizes Terraform, Kubernetes, Docker, CI/CD pipelines, streaming/data infrastructure, and proactive incident management, while collaborating with

Formación

• 5+ years in DevOps, SRE, or Platform Engineering.
• Hands-on CI/CD with Jenkins, GitHub Actions, GitLab CI.
• Experience with Kubernetes, Docker, Terraform.
• PCI-compliant or regulated environments.

Responsabilidades

• Design, deploy, and maintain scalable, secure, highly available AWS infrastructure.
• Manage containerized workloads using ECS/Fargate, ALB/NLB, and autoscaling.
• Develop and maintain reusable Terraform modules and Jenkins/Groovy CI/CD pipelines.
• Operate and optimize streaming platforms, data infrastructure, and distributed systems.
• Implement monitoring, logging, alerting, and proactive incident resolution.
• Continuously optimize AWS costs through resource right-sizing and cost-conscious decisions.
• Automate operational processes using Python, Bash, and AWS Lambda.
• Strengthen infrastructure security and CI/CD security controls.
• Own infrastructure projects end-to-end from design to documentation.

Conocimientos

AWS

Terraform

Docker

CI/CD

Python

Monitoring

Security

Kubernetes

Automation

Communication

Herramientas

Jira

Confluence

Descripción del empleo

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. The ideal candidate will ensure infrastructure scalability, reliability, security, and cost efficiency while supporting mission‑critical systems operating 24/7.

Requisitos

• Experience: 5+ years in DevOps, SRE, or Platform Engineering, supporting 24/7 production environments.

• Advanced AWS: ECS/Fargate, ALB/NLB, Auto Scaling, VPC, Transit Gateway, Route 53, ACM, CloudFront, IAM, KMS, Secrets Manager, SSM, and CloudTrail across multiple AWS accounts.

• Infrastructure as Code: Advanced Terraform expertise, including reusable versioned modules, S3 remote state, version pinning, and multi-environment deployments (Dev, QA, Integration, Prod).

• Containerization: Docker, Dockerfiles, ECR image management, base images, and ECS task definitions.

• CI/CD: Jenkins, Groovy, Jenkinsfiles, shared libraries, Java/Maven builds, and Shift-Left security practices.

• Streaming & Data Infrastructure: Production experience with Kafka (AWS MSK), Aerospike, and Multi-AZ architectures. Experience with EMR/EMR Serverless, Flink, Airflow, Athena, and S3 Tables.

• Monitoring & Observability: Prometheus, Grafana, Graphite, CloudWatch, Fluent Bit, Logstash, OpenSearch, Slack, and SNS alerting.

• Automation: Strong Python (boto3), Bash scripting, and AWS Lambda.

• Security: Vulnerability management, system patching, credential protection, API key security, and least-privilege access.

• Tools & Collaboration: Git, Pull Requests, Jira, Confluence, and AI-powered development tools.

• Strong problem-solving skills, independent work capabilities, proactive communication, and data-driven decision-making.

Key Responsibilities

• Design, deploy, and maintain scalable, secure, highly available AWS infrastructure.

• Manage containerized workloads using ECS/Fargate, ALB/NLB, and autoscaling.

• Develop and maintain reusable Terraform modules and Jenkins/Groovy CI/CD pipelines.

• Operate and optimize streaming platforms, data infrastructure, and distributed systems.

• Implement monitoring, logging, alerting, and proactive incident resolution.

• Continuously optimize AWS costs through resource right-sizing, waste reduction, and cost-conscious architecture decisions.

• Automate operational processes using Python, Bash, and AWS Lambda.

• Strengthen infrastructure security, vulnerability management, and CI/CD security controls.

• Own infrastructure projects end-to-end, from design and deployment to documentation and ongoing support.

• Create clear technical documentation and step-by-step runbooks for first-level support teams.

• Manage infrastructure changes through reviewed Pull Requests using a single main branch.

• Use performance metrics, operational data, and cost analysis to guide technical decisions and advise leadership.

• Leverage AI tools to improve productivity while maintaining code quality and review standards.

Nice to Have

• Experience in AdTech or Real-Time Bidding (RTB) environments.
• AWS CloudFormation.
• Java development experience.

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.

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 — including 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.