Senior DevOps Engineer
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 idóneo 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
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.
Requirements
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.
Company Overview
AgileEngine is an Inc. **** 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.
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!
Requirements
4+ years of professional DevOps, SRE or platform‐engineering experience operating production services 3+ years of hands‐on work 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
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📌 Remote Senior Aws Devops & Sre - Eks, Terraform, Ci/Cd (Quilmes)
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