Devops Engineer (Aws) - Remote Work | Ref#297441
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Job summary
AgileEngine is seeking a DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI‑compliant environment.
You will automate pipelines, manage Kubernetes clusters, and implement secure, scalable devops practices across multiple cloud platforms, working with cross-functional teams.
Qualifications
- 4+ years in DevOps, SRE, or platform engineering.
- 3+ years building CI/CD pipelines and infrastructure as code.
- Working knowledge of Kubernetes and container tooling.
- Strong scripting in Python, Bash, or Go; SQL skills.
- Experience with observability stacks (New Relic, Prometheus, Grafana, OpenTelemetry, ELK, Datadog).
- Knowledge of cloud security and PCI‑compliant environments.
Responsibilities
- Lead DevOps strategy for Data & AI teams; roadmaps and vision.
- Design and implement cloud infrastructure as code for AWS/Azure/GCP.
- Own CI/CD pipelines with GitHub Actions, Jenkins, or GitLab CI; implement automated rollback.
- Operate Kubernetes clusters with ArgoCD/Flux; manage autoscaling, ingress, secrets, and policies.
- Build observability dashboards and alerting; ensure SLO-driven operations.
- Implement security controls and policy-as-code; on-call incident leadership.
Skills
Education
Tools
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.
If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!
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.
- 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.
- 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.
- 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.
- 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.
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About the job:
We are seeking a highly skilled DevOps Specialist to architect, implement, and maintain end‑to‑end CI/CD pipelines using GitHub, with a strong focus on test‑driven deployment, automated release management, and Infrastructure as Code (IaC) practices.
The role also includes automating build, tagging, and publication processes across web, desktop, and mobile platforms to ensure consistent and traceable releases. Deep expertise in Linux system administration, networking, and IaC tools is essential to deliver scalable, secure, and highly available deployments.
- Lead the design, architecture, and management of CI/CD pipelines using GitHub Actions (and similar tools), ensuring fast, reliable, and reproducible software delivery.
- Implement and enforce test‑driven deployment systems, integrating automated testing, validation, and monitoring to maintain code quality and accelerate feedback cycles.
- Containerize applications and microservices with Docker, optimize image builds, and manage deployment pipelines for distributed environments.
- Develop and maintain cross‑platform build pipelines using CMake or equivalent tools, ensuring consistent compilation and release workflows across web, desktop, and mobile.
- Automate end‑to‑end release processes, including tagging, building, signing, and distributing mobile, web, and desktop applications.
- Define and manage Infrastructure as Code (IaC) to provision and maintain reliable, scalable, and secure infrastructure environments.
- Collaborate closely with development, QA, and operations teams to troubleshoot deployment issues, optimize performance, and improve release reliability.
- Continuously improve observability and feedback loops, leveraging monitoring and alerting systems to maintain operational excellence.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
- 3+ years of hands‑on experience architecting and maintaining CI/CD pipelines using GitHub Actions or equivalent tools at scale in a production environment.
- Strong proficiency in test‑driven deployment methodologies, including writing and maintaining automated test suites for integration and end‑to‑end validation.
- Expertise in containerization technologies such as Docker, including image creation, registry management, and basic orchestration patterns.
- In‑depth knowledge of C++ build systems, specifically CMake, with proven experience optimizing native build and deployment pipelines.
- Advanced Linux system administration and networking skills, including shell scripting, package management, performance troubleshooting, firewalls, and VPN configuration.
- Excellent communication, problem‑solving, and collaboration skills, with the ability to work effectively in globally distributed teams.
- Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, AWS CDK or AWS CloudFormation.
- Experience with mobile CI/CD automation, including build, tagging, and publication for iOS and Android applications.
- Advanced knowledge of release management practices, including automated versioning, signing, and artifact distribution.
- Exposure to observability and monitoring systems, leveraging tools like Prometheus, Grafana, or ELK for deployment health tracking.
- Experience working in high‑availability, security‑sensitive environments, especially in fintech, blockchain, or distributed systems contexts.
- Experience deploying and managing blockchain‑based applications.
- Exposure to AI/ML pipelines, including automated model training, evaluation, and deployment using frameworks like PyTorch or TensorFlow.
- Reporta a: Delivery Manager
- Seniority: Semi Senior / Senior
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