Backend Engineer-Terraform

Thank you for considering the Backend Engineer position at Reveal Health Tech.
We are an early-stage IT startup based in the US and India, focused on leveraging technology to deliver transformative healthcare solutions.
  About the Applied AI Lab  The Applied AI Lab is an internal R&D team at Reveal dedicated to identifying high-impact problems in healthcare, life sciences, and adjacent verticals—and transforming those insights into repeatable AI solutions.
  We operate as a nimble product studio within the company: researching emerging technologies, rapidly prototyping AI and ML-powered tools, and building foundational infrastructure to support long-term product plays.
Our output ranges from sandbox-ready MVPs to reusable components and SaaS-aligned platforms.
Our team is multi-disciplinary—engineering, design, research, and business—and we work closely with client-facing and go-to-market teams to validate our ideas in the real world.
    About the Role We’re looking for a Backend Engineer to join the Applied AI Lab and play a critical role in building robust, scalable, and flexible backend systems that power intelligent products and agentic workflows.
  You’ll be responsible for developing APIs, integrating ML components, and helping stand up infrastructure that connects user interfaces with AI/ML logic and data services.
You'll work closely with ML engineers, frontend developers, and designers to enable end-to-end functionality, rapid iteration, and long-term reliability.
  This role is ideal for someone who enjoys wearing multiple hats, thrives in a fast-moving environment, and wants to build backend systems that support real product innovation.
What do you get in return?
  Be part of a high-impact team shaping the future of our IP and product innovation strategy  Work with cutting-edge technologies in a focused but flexible lab environment  Help define how applied AI can solve real-world problems in complex, high-stakes domains  Grow with a small, mission-aligned team with executive support and long-term vision  Industry best compensation and benefits    Next Steps  Send us your updated CV - if you can mention how you have enriched your previous organisation in a cover letter, that would be great!
  If we find your profile suitable, we will have our Talent personnel to reach out to you to understand your profile/interests and how best we can align mutually.
  Finally, you would have a chat with our Leadership to understand more about us and see if this is the right next career move!
  Design and implement scalable APIs and service layers to support agentic AI workflows and prototypes  Work closely with ML engineers to integrate models into backend infrastructure and orchestrate inference flows  Build data access layers and connect to databases, vector stores, and external APIs  Collaborate with frontend engineers to define data contracts and enable seamless UI integration  Develop infrastructure for task orchestration, agent state tracking, and output management  Contribute to DevOps efforts (e.
g., CI/CD pipelines, deployment scripts, logging/monitoring)  Optimize backend systems for performance, modularity, and reuse across Lab projects  Support rapid prototyping and contribute to turning MVPs into stable, reusable assets  Participate in roadmap planning, design sessions, and prioritization of Lab initiatives    Desired Qualifications   Please note that while you do not need to be an expert in every area, being familiar with most of the following is important.
We are looking for someone who can effectively integrate everything, with team support to fill any gaps.
    5+ years of experience as a backend engineer  Programming & Backend Skills  Terraform: Proficient in writing, testing, and managing Terraform modules  Primary Language: Python (3.
x), with solid understanding of object-oriented design  Secondary (Nice to Have): Go, Node.
js, or Java  API Development: Experience with RESTful APIs and/or GraphQL; FastAPI or Flask preferred, microservices, and service-oriented architecture  Testing: Pytest, unit/integration testing best practices  CI/CD Pipelines: Experience with GitHub Actions, GitLab CI, or similar  Experienced with cloud platforms (AWS, Azure, GCP)  Compute: Lambda, ECS/Fargate, EC2  Storage: S3, EFS  Networking: VPC, Route53, API Gateway  Databases: RDS (PostgreSQL/MySQL), DynamoDB  Monitoring: CloudWatch, X-Ray  IAM: Policies, roles, permissions model  Data & Event Processing (Optional but valuable)  Experience with:  Message Brokers: SQS, Kafka  Data Pipelines / ETL: AWS Step Functions, Airflow (especially on MWAA), Glue  File Parsing: JSON, XML, CSV, Parquet, etc.
  Tooling & Environment  Version Control: Git (GitHub or GitLab workflows)  Secrets Management: AWS Secrets Manager or SSM Parameter Store  Dev Tools: Docker Compose, Make, VS Code    How you will enrich us?
  Energetic and enthusiastic  Autonomous and self-motivated  Growth mindset  Embraces challenges  Building new things gets your blood pumping  Curiosity and deep interest in the world  Challenges the status quo constructively