Senior Aws Devops Engineer — Scale, Security & 24/7

Flux It; Buenos Aires; Remote; ARS 185,448,000 - 262,719,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior DevOps Engineer to design, deploy and run cloud infrastructure, CI/CD, and observability for data and AI teams in a PCI-compliant environment. You will own infrastructure end-to-end, collaborate with developers, and ensure 24/7 reliability, security, and cost efficiency while delivering scalable solutions.

The ideal candidate has 5+ years in DevOps/SRE, advanced AWS expertise, Terraform, Kubernetes, CI/CD pipelines, and strong scripting.

Qualifications

• 5+ years in DevOps, SRE, or platform engineering for 24/7 production environments.
• Hands-on DevOps in AWS with Terraform and CI/CD pipelines.
• Strong scripting skills (Python, Bash, Go) and automation focus.
• Experience with Kubernetes and container tooling (ArgoCD, Helm).

Responsibilities

• Design, deploy, and maintain scalable, secure AWS infrastructure for data/AI teams.
• Own CI/CD pipelines in Jenkins, GitHub Actions, and related tooling.
• Operate Kubernetes clusters and container workloads with autoscaling and security.
• Build and maintain Terraform modules for multi-environment deployments.
• Operate observability stack (Prometheus, Grafana, OpenTelemetry) and alerting.
• Enforce PCI-compliant patterns and cost-optimized architecture.
• Lead incident response and post-mortems; collaborate across time zones.

Skills

Problem solving

Independent work

Communication

Data-driven decisions

Scripting (Python/Bash/Go)

Tools

Kubernetes

Terraform

Jenkins

Git

GitHub Actions

ArgoCD

Prometheus

Grafana

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.
  

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.