Cloud & AI Infrastructure Engineer (AWS)

Wisemonk; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Wisemonk is hiring an early-stage startup engineer to own the cloud infrastructure powering a production SaaS for financial institutions. You will architect scaling strategies, optimise costs, harden security, and build the infrastructure backbone for AI workloads.

You may contribute to application development as needed. As an early hire at a high-growth startup, you will manage the AWS production environment, design auto-scaling, extend Terraform, and support CI/CD pipelines while collaborating

Qualifications

• 3+ years hands-on AWS production experience.
• Containerised workloads with ECS/Fargate or EKS.
• Terraform IaC preferred.
• CI/CD pipelines (GitHub Actions/GitLab CI).
• Networking (VPC, subnets, load balancers, DNS).
• Managed DBs (RDS PostgreSQL, ElastiCache/Redis).
• Monitoring/observability tools (CloudWatch, X-Ray, Grafana).
• Linux, Bash/Python scripting; production issue triage.
• Security fundamentals: IAM, encryption, secrets management.

Responsibilities

• Own and evolve AWS production environment including compute/network/storage.
• Design auto-scaling strategies and optimize performance.
• Extend Terraform codebase for repeatable deployments.
• Support AI workloads and model inference pipelines.
• Maintain CI/CD and deployment pipelines across services.
• Build monitoring, alerting, and distributed tracing; respond to incidents.
• Uphold security and compliance with SOC2, AWS FTR requirements.
• Cost monitoring and right-sizing resources.

Skills

AWS Cloud Infrastructure

Container Orchestration

Networking & Security

CI/CD

Terraform IaC

Monitoring & Observability

Linux scripting

Security fundamentals

Tools

Terraform

Docker

ECS/Fargate

EKS

ECR

GitHub Actions

GitLab CI

CloudWatch

X-Ray

Grafana

Job description

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,
• 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 environment
• 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)
• 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)