Backend / DevOps Engineer · Mid

ThinkRight Tech; Bengaluru; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

ThinkRight Tech in Bengaluru is seeking an experienced backend engineer to design and build scalable microservices using Python (FastAPI). You will own AWS cloud infrastructure via Terraform, manage CI/CD pipelines, and operate a queue-based system with SQS and Kafka.

You will optimise PostgreSQL schemas, implement API gateway security, and drive observability and cost‑efficiency across the platform. Hybrid work model with collaboration across product and ML teams.

Qualifications

• 4+ years of backend engineering experience
• 2+ years with cloud infrastructure and DevOps
• Hands-on with AWS services (ECS/Fargate, RDS, S3, SQS/SNS, Lambda, API Gateway)
• Infrastructure as code: Terraform or CDK across environments
• Strong CI/CD: GitHub Actions, Docker, container orchestration

Responsibilities

• Design and build backend microservices in Python (FastAPI) for ingestion, matching, enrichment, and notifications
• Own cloud infrastructure on AWS with Terraform, encryption, VPC isolation, and audit logging
• Build and manage CI/CD pipelines for all services with automated testing and zero-downtime deploys
• Design and operate the queue-based architecture (SQS / Kafka) and routing of matching and enrichment events
• Manage PostgreSQL/Aurora schemas, migrations and query optimisation
• Implement API gateway, rate limiting, authentication middleware and RBAC
• Set up observability: logging, distributed tracing, alerting and SLO dashboards
• Support ML model-serving infra: containerised inference and autoscaling
• Drive cost-optimisation, security hardening and disaster-recovery practices

Skills

Backend development

Cloud concepts

DevOps

Tools

Python

AWS

Terraform

FastAPI

PostgreSQL

Kafka

CI/CD

Docker

GitHub Actions

Job description

Platform Engineering · Bangalore, IN · BHIVE Workspace, AKR Tech Park (Kudlu Gate) · Full-time · Hybrid · 4+ years backend (2+ in cloud / DevOps)

Engineer the platform our AI and product teams build on — clean APIs, high-throughput pipelines, and infra that rarely wakes anyone up.

Python AWS Terraform Microservices CI/CD Kafka

What you’ll do

• 01 Design and build backend microservices in Python (FastAPI) — ingestion, matching jobs, enrichment, notification
• 02 Own cloud infrastructure on AWS — provisioned via Terraform, with encryption, VPC isolation and audit logging
• 03 Build and manage CI/CD pipelines for all services — automated testing, staging gating, zero-downtime deploys
• 04 Design and operate the queue-based architecture (SQS / Kafka) routing matching, enrichment and downstream events
• 05 Manage PostgreSQL / Aurora schemas, migrations and query optimisation
• 06 Implement API gateway, rate limiting, authentication middleware and RBAC
• 07 Set up observability: centralised logging, distributed tracing (OpenTelemetry), alerting and SLO dashboards
• 08 Support ML engineers with model-serving infrastructure — containerised inference, autoscaling, A/B routing
• 09 Drive cost-optimisation, security hardening and disaster-recovery practices

What we’re looking for

• 4+ years of backend engineering experience; 2+ years with cloud infrastructure and DevOps
• Hands-on with AWS services: ECS / Fargate, RDS, S3, SQS / SNS, Lambda, API Gateway
• Infrastructure as code: Terraform or CDK across multiple environments
• Strong CI/CD: GitHub Actions, Docker and container orchestration (ECS / EKS)
• Solid database skills: PostgreSQL schema design, query tuning, connection pooling
• API security fundamentals: OAuth 2.0, JWT, HTTPS / TLS, gateway configuration
• Comfortable with monitoring and alerting: CloudWatch, Datadog, Grafana, Prometheus

Nice to have

• Experience with high-throughput streaming infrastructure (Kafka, MSK, Kinesis)
• SRE / on-call experience, cost optimisation, data platform exposure
• Experience serving ML models in production (SageMaker, Triton, FastAPI inference endpoints)