DevOps Engineer ID98058

AgileEngine, LLC.; Jaipur; A distancia; INR 1.800.000 - 3.600.000; 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 or platform engineering, with hands-on CI/CD and IaC experience, Kubernetes expertise, and cloud security focus. You will collaborate with global teams, manage on-call rotations, and contribute to scalable, secure infrastructure across AWS/AZURE/GCP.

Formación

• 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 in Python, Bash or Go; SQL skills and at least one cloud platform (AWS/Azure/GCP).
• Hands-on experience with observability stacks (Prometheus, Grafana, OpenTelemetry, ELK or Datadog).
• Solid understanding of cloud security and PCI-compliant environments.
• Proven ability to work independently and in a team across time zones.

Responsabilidades

• Strategy, Roadmap & Vision – build the roadmap for devops and observability in Data & AI teams.
• Design and build cloud infrastructure as code with Terraform, packaging reusable modules for AWS, Azure or GCP, and own CI/CD pipelines.
• Operate Kubernetes clusters and container workloads with Helm, ArgoCD or Flux, including autoscaling, ingress and secrets.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK or Datadog and implement SLO-driven alerting.
• Implement security and compliance controls: IAM, SSO, secrets management and policy-as-code.
• Lead incident response with on-call, runbooks and blameless post-mortems to reduce MTTR.
• Collaborate with developers on dev experience and internal platform tooling across India and the U.S.

Conocimientos

DevOps

SRE

Platform engineering

CI/CD

Kubernetes

Python

Bash

Go

SQL

Cloud platforms

Observability

PCI compliance

Herramientas

GitHub Actions

Jenkins

GitLab CI

CircleCI

Terraform

Pulumi

CloudFormation

Kubernetes tooling

Docker

Helm

ArgoCD

Flux

Prometheus

Grafana

OpenTelemetry

ELK

Datadog

OPA/Checkov/tfsec

Descripción del empleo

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.