DevOps Engineer ID98058

AgileEngine, LLC.; Bengaluru; Remote; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Remote work

Local presence in India

Competitive INR compensation

Projects with global clients

Job summary

AgileEngine, LLC. is seeking a DevOps Engineer to build and run cloud infrastructure, CI/CD pipelines and observability for Data and AI teams in a PCI‑compliant environment.

Requirements include 4+ years in DevOps/SRE, 3+ years CI/CD and IaC, Kubernetes experience, and strong scripting with Python/Bash/Go. Candidates should be comfortable with cloud platforms (AWS/Azure/GCP) and security practices.

Qualifications

• 4+ years of DevOps, SRE or platform‑engineering experience operating production services.
• 3+ years building CI/CD pipelines and managing infrastructure as code.
• Working knowledge of Kubernetes (EKS/AKS/GKE) and container tooling.
• Strong scripting skills in Python, Bash or Go; solid SQL and cloud experience.
• Hands‑on with observability stacks (Prometheus, Grafana, OpenTelemetry, ELK/Datadog).
• Understanding of cloud security and PCI‑compliant environments.
• Ability to work independently and across time zones, including on‑call rotations.
• Excellent written and verbal communication with technical and non‑technical stakeholders.

Responsibilities

• Design and implement cloud infrastructure as code for AWS, Azure or GCP.
• Own CI/CD pipelines in GitHub Actions, Jenkins or GitLab CI.
• Operate Kubernetes clusters and container workloads with Helm, ArgoCD or Flux.
• Build observability dashboards and alerting with Prometheus, Grafana, OpenTelemetry, ELK or Datadog.
• Implement security controls, IAM, secrets management and PCI‑aware patterns.
• Lead incident response with runbooks, post‑mortems and reliability improvements.
• Collaborate with developers and AI teams across India and the U.S.

Skills

DevOps

SRE

CI/CD pipelines

IaC (Terraform, Pulumi, CloudForm)

Kubernetes (EKS/AKS/GKE)

Cloud platforms (AWS/Azure/GCP)

Security & PCI compliance

Python/Bash/Go scripting

Observability stacks (Prometheus/Graf 

Tools

GitHub Actions

Jenkins

GitLab CI

CircleCI

Terraform

Pulumi

CloudFormation

Docker

Helm

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.
• 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.