Remote Aws Devops & Sre: Build Scalable Cloud Reliability

Bluelight Consulting; Buenos Aires; Hybrid; ARS 107,614,000 - 169,108,000; Full time

Benefits offered by this job

Mentorship programs

Tech Talks & growth roadmap

Flexible schedule (remote and office)

Job summary

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

You will design, deploy, and maintain scalable AWS infrastructure, manage container workloads with ECS/Fargate, and develop reusable Terraform modules and Jenkins pipelines. Strong scripting and security practices are required, with on‑call rotations and cross‑team collaboration.

Qualifications

• 4+ years of DevOps, SRE, or platform-engineering experience operating production services.

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 and cost-conscious architecture 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 and ongoing support.
• Create runbooks and documentation for first-level support teams.

Skills

CI/CD pipelines

Kubernetes

Python scripting

Communication skills

English proficiency

On-call rotations

Problem solving

Team collaboration

Tools

GitHub Actions

Jenkins

GitLab CI

CircleCI

Terraform

Pulumi

CloudFormation

Docker

Helm

ArgoCD

Flux

Prometheus

Grafana

OpenTelemetry

ELK

Datadog

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.

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

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.

Company Overview

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.

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.