Think Right Advisory Services Pvt. Ltd.
Website:
thinkright-tech.com
Job details:
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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
- → 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)
Click on Apply to know more.