DevOps Engineer ID98058

AgileEngine; Bengaluru; Hybrid; INR 1.800.000 - 3.000.000; Vollzeit

Benefits dieser Stelle

Remote work

Local presence in India

Competitive INR compensation

Learning and education support

Zusammenfassung

AgileEngine, LLC. seeks 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 work with modern cloud platforms, container tooling, and security practices while collaborating with global clients. The role offers remote-friendly work and opportunities to advance in a fast-growing company.

Qualifikationen

• 4+ years in DevOps, SRE, or platform engineering.
• 3+ years building CI/CD pipelines with IaC.
• Experience with Kubernetes and cloud platforms (AWS/Azure/GCP).
• PCI-compliant security and regulated environments.
• Strong scripting and SQL skills; English communication.

Aufgaben

• Roadmap for DevOps and observability in Data & AI teams.
• Design infrastructure as code for multi-cloud infra and own CI/CD pipelines.
• Operate Kubernetes clusters and container workloads.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK or Datadog.
• Implement security and compliance controls including PCI-aware patterns.
• Lead incident response and blameless post-mortems.
• Collaborate with developers and AI engineers across India and US teams.
• Participate in a collaborative DevOps environment with QA, DBAs, and product partners.

Kenntnisse

DevOps experience

CI/CD pipelines

Infrastructure as code

Kubernetes

Scripting (Python/Bash/Go)

Cloud platforms (AWS/Azure/GCP)

Observability tooling

PCI/compliance security

Communication & collaboration

English proficiency

Tools

GitHub Actions

Jenkins

GitLab CI

CircleCI

Terraform

Pulumi

CloudFormation

Kubernetes (EKS/AKS/GKE)

Docker

Helm

ArgoCD

Flux

Prometheus

Grafana

OpenTelemetry

ELK

Datadog

Jobbeschreibung

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.

Mandatory requirements

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).
• 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.
• 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.