
Job Description
Ovii's Interpretation of the Role
Prodigal seeks a DevSecOps Engineer to secure and operate its AWS‑based AI platform for loan servicing. The role blends cloud infrastructure ownership, Kubernetes operations, CI/CD security, and AI/ML workload support in a fast‑moving startup environment.
Role Snapshot
- AWS infrastructure management
- Kubernetes production operations
- CI/CD pipeline security
- Terraform/CloudFormation IaC
- Cloud cost optimization
- AI/ML infrastructure support
- Monitoring & incident response
Must-Have Requirements
- AWS services (EC2, VPC, IAM, S3, CloudWatch)
- Kubernetes production
- Terraform or CloudFormation IaC
- CI/CD pipeline security (SAST/DAST, secret scanning)
- Python/Bash scripting
- Prometheus & Grafana monitoring
- IAM least‑privilege & secrets management
- AWS infrastructure ownership
- Kubernetes production operations
- Secure CI/CD pipeline development
- B.Tech, BE, or M.Tech in Computer Science or related discipline
Nice-to-Have Signals
- GPU/ML workload orchestration (TorchServe, Triton, TrueFoundry)
- DataBricks or Spark cluster management
- SOC2 / PCI‑DSS compliance experience
- AWS Solutions Architect, CKA, AWS Security Specialty, CompTIA Security+ certifications
- Cost‑optimization tooling
- GPU/ML workload orchestration
- SOC2 or PCI‑DSS compliance
- AWS Solutions Architect
- CKA
- AWS Security Specialty
- CompTIA Security+
Work Setup
- Location: Bengaluru
- Employment type: Full-Time
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Relocation
- Notice period
- Travel
- Security clearance
- Coding test
- Portfolio
What You'll Likely Work On
- Manage and optimise AWS compute, networking and storage resources.
- Operate and troubleshoot production Kubernetes clusters, including autoscaling and service‑mesh configuration.
- Build and maintain observability stacks with Prometheus and Grafana, and lead incident response.
- Design and run secure CI/CD pipelines with integrated SAST/DAST and secret scanning.
- Drive cloud‑cost monitoring, rightsizing and overall spend optimisation.
- Support AI/ML workloads: GPU scheduling, model serving, and DataBricks environment management.
- Automate repetitive operational tasks with Python or Bash scripts.
- Contribute to SOC2/PCI‑DSS compliance and security best‑practice implementation.
Good Fit If You Have
- Enjoys hands‑on infrastructure work in a small, high‑impact team.
- Strong written and verbal communication for runbooks and architecture docs.
- Proactive automation mindset, always looking to script repetitive tasks.
- Interest in security compliance and cloud‑native best practices.
Skills
- AWS services (EC2, VPC, IAM, S3, CloudWatch)
- Kubernetes (deployment, autoscaling, Istio)
- Terraform / CloudFormation infrastructure‑as‑code
- CI/CD tools (GitHub Actions, GitLab CI, ArgoCD)
- Security scanning (SAST, DAST, secrets detection)
- Python & Bash scripting
- Prometheus & Grafana monitoring
- GPU/ML workload orchestration (TorchServe, Triton, TrueFoundry)
- Cost optimization & rightsizing