DevOps Engineer ID98058

AgileEngine; Gurgaon; A distancia; INR 900.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Local presence in India

Competitive INR compensation

Exciting projects

Descripción de la vacante

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. The role requires 4+ years in DevOps/SRE, strong IaC and CI/CD skills, and hands-on Kubernetes experience.

You will work with AWS/Azure/GCP, implement security controls, and drive reliability across time zones. Remote work with local India presence is offered, along with competitive INR compensation and opportunities for learning and

Formación

• 4+ years of DevOps, SRE, or platform engineering experience operating production services.
• 3+ years building CI/CD pipelines and IaC (Terraform, Pulumi, or CloudFormation).
• Kubernetes experience (EKS/AKS/GKE) and container tooling (Docker, Helm, ArgoCD or Flux).
• Python, Bash or Go with solid SQL skills and experience on AWS/Azure/GCP.
• Hands-on with observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
• Strong cloud security and PCI-compliant environment knowledge.
• Ability to work independently and in a team across time zones and on-call rotations.

Responsabilidades

• 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.
• Operate Kubernetes clusters (EKS, AKS or GKE) and container workloads with Helm, ArgoCD or Flux.
• 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 reduce MTTR.
• Partner with developers on local dev experience and internal platform tooling; share knowledge across India and U.S. teams.
• Collaborate across environments with developers, AI engineers, QA, DBAs and product partners.

Conocimientos

CI/CD pipelines

Kubernetes

Cloud platforms

Observability

Python

Bash

Go

SQL

English

Herramientas

Terraform

Pulumi

CloudFormation

GitHub Actions

Jenkins

GitLab CI

ArgoCD

Helm

Prometheus

Grafana

OpenTelemetry

Datadog

Descripción del empleo

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.

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).
• Kubernetes (EKS, AKS or GKE) and container tooling (Docker, Helm, ArgoCD or Flux).
• 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.
• Upper-intermediate English level.

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.
• AWS / Azure / GCP Professional, CKA / CKAD, or HashiCorp Terraform certification.
• 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.