We are hiring for one of our Client/Startup The Role You will own the cloud infrastructure that powers a production SaaS platform serving financial institutions. This is not a passive keep-the-lights-on role — you will architect scaling strategies, optimise costs, harden security, and build the infrastructure backbone for AI workloads. As an early hire at a high-growth startup, you will also contribute to application development across the stack when needed.

Primary Responsibilities - Cloud Infrastructure Ownership — Manage and evolve the AWS production environment: compute, networking, storage, databases, caching, and security services -Scaling &

• Performance — Design and implement auto-scaling strategies, diagnose production bottlenecks, and ensure the platform handles growing client workloads reliably -Infrastructure as Code — Own and extend the Terraform codebase for repeatable, auditable infrastructure deployments -AI/ML Infrastructure — Support and scale AI workloads including LLM service deployments, model inference pipelines, and vector storage -CI/CD &

• Deployment — Maintain and improve automated build, test, and deployment pipelines across backend and frontend services -Observability &

• Incident Response — Build and maintain monitoring, alerting, and distributed tracing; lead incident diagnosis and resolution -Security &

• Compliance — Uphold security best practices for a FinTech platform, including encryption, access controls, WAF management, and compliance readiness (SOC2, AWS FTR) -Cost Optimisation — Monitor cloud spend, right-size resources,



and implement cost-saving strategies as the platform scales.

Secondary

Responsibilities -Contribute to backend and/or frontend application development as needed - - -Collaborate with business and operations teams on client onboarding infrastructure -Evaluate and integrate new AWS services or third-party tools that benefit the platform.

What We're Looking For Must Have -3+ years hands-on experience with AWS in a production workplace -Strong experience with containerised workloads (ECS/Fargate or EKS, Docker, ECR) -Proficiency in Infrastructure as Code (Terraform strongly preferred) -Experience with CI/CD pipelines (GitHub Actions, GitLab CI, or similar) -Solid understanding of networking (VPC, subnets, security groups, load balancers, DNS) -Experience with managed databases (RDS PostgreSQL, ElastiCache/Redis) -Familiarity with monitoring and observability tools (CloudWatch, X-Ray, Grafana, or similar) -Working knowledge of Linux, scripting (Bash/Python), and troubleshooting production issues -Understanding of security fundamentals: IAM, encryption at rest/in transit, secrets management Great to Have -Experience scaling AI/ML workloads in production (model serving, GPU instances, managed AI services like Bedrock/SageMaker) -Backend development experience with Python (Django/FastAPI) -Frontend development experience (React/Next.js) -Experience with asynchronous task processing (Celery, SQS, or similar) - Exposure to FinTech or regulated environments (SOC2, FTR, compliance frameworks) -Experience with S3 lifecycle management, CloudTrail, GuardDuty, or Security Hub -Familiarity with serverless patterns (Lambda, Amplify)

📌 Cloud & AI Infrastructure Engineer (AWS) (Hyderabad)
🏢 Wise Monks
📍 Hyderabad