DevOps Engineer ID98058

AgileEngine, LLC.; Hyderabad; Remote; INR 2,800,000 - 4,200,000; Full time

Job summary

AgileEngine, LLC. 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.

This role requires 4+ years of DevOps/SRE or platform engineering experience, hands-on CI/CD and IaC, Kubernetes, and cloud security with PCI awareness. Remote work is offered with local presence in India.

Qualifications

• 4+ years of professional DevOps, SRE or platform engineering experience operating production services.
• 3+ years of hands-on experience building CI/CD pipelines and managing infrastructure as code.
• Working knowledge of Kubernetes (EKS, AKS or GKE) and container tooling.
• Strong scripting skills in Python, Bash or Go; solid SQL skills and cloud platform experience.
• Hands-on experience with observability stacks and PCI-compliant environments.

Responsibilities

• Strategy, Roadmap & Vision for DevOps and observability in Data & AI teams.
• Design and build cloud infrastructure as code with Terraform, Pulumi or CloudFormation, packaging reusable modules for AWS/Azure/GCP.
• Operate Kubernetes clusters (EKS/AKS/GKE) and containers with Helm, ArgoCD or Flux.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK or Datadog.
• Implement security and compliance controls including PCI-aware patterns.
• Lead incident response and drive down MTTR and toil.
• Collaborate with developers on internal platform tooling and self-service across India and US teams.
• Participate in a collaborative DevOps environment with cross-functional partners across environments.

Skills

DevOps experience

CI/CD pipelines

Kubernetes

Cloud platforms

Observability tooling

PCI compliance

On-call / incident management

Scripting (Python/Bash/Go)

Tools

Terraform

Pulumi

CloudFormation

GitHub Actions

Jenkins

GitLab CI

Kubernetes tooling (Helm, ArgoCD, Flux)

Docker

ArgoCD / Flux

Job description

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.

The mandatory requirements are 4+ years of DevOps, SRE or platform engineering experience, CI/CD and infrastructure-as-code, Kubernetes and cloud platforms, and cloud security and compliance in PCI-regulated environments.

RECRUITMENT PROCESS

1. 1. Application — Share a few details about your experience and background.
2. 2. Coding Challenge — If applicable, complete it in the coding language you are most comfortable with.
3. 3. Video Interview — Record a short video introduction in English.
4. 4. Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role.
5. 5. Offer — If it’s a match, you’ll receive an offer.

WHAT YOU'LL GAIN

• Remote work — Work from where you feel most productive.
• Local presence in India — Work in a structured and compliant environment aligned with Indian regulations.
• Competitive compensation in INR — Receive compensation in INR, plus support for learning, education, and wellness.
• Exciting projects — Work with modern technologies for global clients and fast-growing companies.

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 infra, 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, and own CI/CD pipelines in GitHub Actions, Jenkins or GitLab CI.
• 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, while helping shape internal platform standards 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.