Terraform Back End Engineer

Were Hiring: Backend Engineer Terraform

Were looking for a Backend Engineer who can build robust, scalable, and flexible backend systems powering intelligent products and agentic workflows.

Youll collaborate with ML engineers, frontend developers, and designersturning prototypes into reliable, production-ready systems.

This is perfect for someone who enjoys wearing multiple hats and thrives in a fast-paced, innovation-driven environment.

• Design & implement scalable APIs and service layers for AI/agent workflows
• Integrate ML models into backend infrastructure and orchestrate inference flows
• Build and optimize data access layers (databases, vector stores, external APIs)
• Define data contracts with frontend teams for seamless integration
• Develop infrastructure for orchestration, state tracking, and output management
• Contribute to DevOps (CI/CD pipelines, deployment, monitoring, logging)
• Support rapid prototyping and evolve MVPs into reusable assets
• Participate in roadmap planning and design discussions

(You dont need to check every boxfamiliarity across most areas is key.)

Experience

• 4.5+ years as a Backend Engineer

Core Skills

• Terraform: proficient in writing, testing, and managing modules
• Languages: Python (primary), plus Go/Node.js/Java (nice-to-have)
• API Development: REST, GraphQL, FastAPI/Flask, microservices
• Testing: Pytest, unit & integration best practices
• CI/CD: GitHub Actions, GitLab CI, or similar
• Cloud (AWS/Azure/GCP):
  • Compute: Lambda, ECS/Fargate, EC2
  • Storage: S3, EFS
  • Networking: VPC, Route53, API Gateway
  • Databases: PostgreSQL/MySQL (RDS), DynamoDB
  • Monitoring: CloudWatch, X-Ray
  • IAM policies/roles/permissions

• Event-driven systems: SQS, Kafka
• ETL/Pipelines: Step Functions, Airflow (MWAA), Glue
• File formats: JSON, XML, CSV, Parquet

• Git (GitHub/GitLab workflows)
• Secrets management: AWS Secrets Manager / SSM Parameter Store
• Dev tools: Docker Compose, Make, VS Code