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. PythonAWSTerraformMicroservicesCI/CDKafka 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 Apply for this role 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

→ Solid 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)

📌 Backend / DevOps Engineer · Mid (Anekal)
🏢 Think Right Advisory Services
📍 Anekal