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AgileEngine is seeking a Senior/Lead DevOps Engineer to deploy and operationalize a Kubernetes-based cloud environment on AWS for a short-term project. You will design scalable infrastructure, manage container workloads, and drive CI/CD pipelines while ensuring security and reliability across 24/7 operations.
The role emphasizes Terraform, Kubernetes (EKS/Helm), Argo CD, and data infrastructure with Kafka/Aerospike, plus focus on cost efficiency and automation.
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.
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.
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.
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.
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 Senior/Lead DevOps Engineer to deploy and operationalize a new Kubernetes-based cloud environment on AWS for a short-term project.
MUST HAVES
- 5+ years of DevOps, SRE, Platform Engineering, or Cloud Engineering experience.
- 4+ years supporting Kubernetes in production environments.
- Demonstrated experience deploying and operating AWS-hosted applications.
- Experience leading technical implementation efforts with minimal supervision.
- Strong troubleshooting and root-cause analysis skills.
- Strong experience with Kubernetes, EKS, and Helm.
- Strong experience with Argo CD and Service Mesh technologies.
- Strong experience with ingress controllers, container networking, storage and persistence, and cluster operations and upgrades.
- Strong experience with AWS services, including VPC, EC2, EKS, IAM, Route 53, ALB/NLB, RDS, CloudWatch, S3, Secrets Manager, and Systems Manager Parameter Store.
- Experience with GitLab, GitLab CI/CD, GitOps workflows, Infrastructure as Code, and Terraform.
- Experience with Bash, Python, or Go.
NICE TO HAVES
- Experience with one or more of the following CNCF ecosystem technologies: Cilium, Hubble, Prometheus, Grafana, Fluent Bit, OpenTelemetry, Karpenter, Crossplane, Kyverno, Tetragon, ExternalDNS, and cert-manager.
- Experience with Backstage, Internal Developer Platforms, Self-Service Infrastructure, Golden Path Engineering, and Environment Automation.
- Experience migrating applications from on-premises environments to cloud-hosted Kubernetes.
- Experience supporting healthcare, medical device, HIPAA, or regulated environments.
- Experience integrating acquired company technology stacks into enterprise cloud platforms.
- Experience documenting operational procedures and performing technical knowledge transfer.
WHAT YOU WILL DO
- Lead deployment of a new cloud environment within AWS or other Cloud provider.
- Ensure deployment follows security, reliability, and operational best practices.
- Partner with application, infrastructure, security, and operations teams throughout the implementation.
- Deploy and manage workloads running on Kubernetes platforms.
- Troubleshoot cluster, networking, ingress, storage, and workload issues.
- Support application modernization and containerization efforts where needed.
- Implement platform standards and operational guardrails.
- Design and enhance GitLab CI/CD pipelines.
- Implement deployment automation and release workflows.
- Establish GitOps deployment patterns using tools such as Argo CD.
- Improve traceability, repeatability, and deployment reliability.
- Develop and maintain infrastructure using Terraform and related tooling.
- Reduce manual deployment activities through automation.
- Configure platform monitoring, logging, alerting, and dashboards.
- Support production readiness reviews and operational runbooks.
- Establish reliability practices and incident response procedures.
- Identify bottlenecks and performance issues across cloud and Kubernetes environments.
- Evaluate existing deployment practices and operational processes.
- Document platform architecture, deployment procedures, and operational support requirements.
- Produce runbooks and knowledge-transfer documentation for support teams.
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 Senior/Lead DevOps Engineer to deploy and operationalize a new Kubernetes-based cloud environment on AWS for a short-term project.
MUST HAVES
- 5+ years of DevOps, SRE, Platform Engineering, or Cloud Engineering experience.
- 4+ years supporting Kubernetes in production environments.
- Demonstrated experience deploying and operating AWS-hosted applications.
- Experience leading technical implementation efforts with minimal supervision.
- Strong troubleshooting and root-cause analysis skills.
- Strong experience with Kubernetes, EKS, and Helm.
- Strong experience with Argo CD and Service Mesh technologies.
- Strong experience with ingress controllers, container networking, storage and persistence, and cluster operations and upgrades.
- Strong experience with AWS services, including VPC, EC2, EKS, IAM, Route 53, ALB/NLB, RDS, CloudWatch, S3, Secrets Manager, and Systems Manager Parameter Store.
- Experience with GitLab, GitLab CI/CD, GitOps workflows, Infrastructure as Code, and Terraform.
- Experience with Bash, Python, or Go.
NICE TO HAVES
- Experience with one or more of the following CNCF ecosystem technologies: Cilium, Hubble, Prometheus, Grafana, Fluent Bit, OpenTelemetry, Karpenter, Crossplane, Kyverno, Tetragon, ExternalDNS, and cert-manager.
- Experience with Backstage, Internal Developer Platforms, Self-Service Infrastructure, Golden Path Engineering, and Environment Automation.
- Experience migrating applications from on-premises environments to cloud-hosted Kubernetes.
- Experience supporting healthcare, medical device, HIPAA, or regulated environments.
- Experience integrating acquired company technology stacks into enterprise cloud platforms.
- Experience documenting operational procedures and performing technical knowledge transfer.
WHAT YOU WILL DO
- Lead deployment of a new cloud environment within AWS or other Cloud provider.
- Ensure deployment follows security, reliability, and operational best practices.
- Partner with application, infrastructure, security, and operations teams throughout the implementation.
- Deploy and manage workloads running on Kubernetes platforms.
- Troubleshoot cluster, networking, ingress, storage, and workload issues.
- Support application modernization and containerization efforts where needed.
- Implement platform standards and operational guardrails.
- Design and enhance GitLab CI/CD pipelines.
- Implement deployment automation and release workflows.
- Establish GitOps deployment patterns using tools such as Argo CD.
- Improve traceability, repeatability, and deployment reliability.
- Develop and maintain infrastructure using Terraform and related tooling.
- Reduce manual deployment activities through automation.
- Configure platform monitoring, logging, alerting, and dashboards.
- Support production readiness reviews and operational runbooks.
- Establish reliability practices and incident response procedures.
- Identify bottlenecks and performance issues across cloud and Kubernetes environments.
- Evaluate existing deployment practices and operational processes.
- Document platform architecture, deployment procedures, and operational support requirements.
- Produce runbooks and knowledge-transfer documentation for support teams.
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.