Backend / DevOps Engineer · Mid

Think Right Advisory Services Pvt. Ltd.; Bengaluru Urban; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

BHIVE Workspace in Bangalore, IN is seeking a Backend / DevOps Engineer to build scalable backend services and infra for AI and product teams.

You’ll own AWS infrastructure via Terraform, run CI/CD pipelines, and support ML model serving with containerised workloads. 4+ years backend experience with 2+ in cloud/DevOps and strong Python, FastAPI, and AWS skills are required.

Qualifications

• 4+ years of backend engineering experience.
• 2+ years with cloud infrastructure and DevOps.
• Proficient in Python and FastAPI.
• Hands-on with AWS services: ECS / Fargate, RDS, S3, SQS / SNS, Lambda, API Gateway.
• IaC experience: Terraform or CDK.

Responsibilities

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

Skills

Python

FastAPI

Async programming

Service design

AWS

CI/CD

GitHub Actions

Docker

Terraform

CDK

ECS / EKS

PostgreSQL

API Gateway

RBAC

Observability

Tools

Terraform

CDK

Docker

GitHub Actions

Kafka

OpenTelemetry

CloudWatch

Grafana

Job description

All roles

Platform Engineering · Bangalore, IN

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

Backend / DevOps Engineer

Mid

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

Team

Platform Engineering

Location

Bangalore, IN

• BHIVE Workspace, AKR Tech Park (Kudlu Gate)

Experience

4+ years backend (2+ in cloud / DevOps)

Tech stack

• Python
• FastAPI
• AWS (ECS
• RDS
• S3
• SQS
• MSK
• Lambda
• API Gateway)
• Terraform
• CDK
• GitHub Actions
• Docker
• EKS
• PostgreSQL
• Aurora
• Kafka
• MSK
• OpenTelemetry
• CloudWatch
• Grafana

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
• Proficient in Python — FastAPI or Flask, async programming, service design patterns
• 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)