2070Health

Healthcare venture studio building patient-centric startups

Full Stack Developer - Backend & DevOps

Full-Stack EngineeringConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

Python 3.12+, async/await, type hints, and modern Python patterns.
FastAPI, Pydantic v2, SQLAlchemy 2.x with async, and dependency injection.
PostgreSQL 16+ with advanced SQL and pgvector, and Redis Stack 7.x for cache, streams, and vector search.
Temporal, Inngest, or Celery, and event-driven patterns.
Claude or OpenAI API integration, structured outputs, tool calling, and streaming.
Docker, CI/CD using GitHub Actions, Linux, and basic Kubernetes.
AWS services including ECS/EKS, RDS, Lambda, S3, and SQS, or equivalent GCP services.

Responsibilities

Design and build asynchronous APIs using Python 3.12+ and FastAPI with Pydantic v2.
Implement complex business logic with domain modeling and validation.
Build event-driven architectures with Redis Streams and message queues.
Develop durable workflow systems using Temporal or Inngest.
Integrate with LLM providers using structured outputs, tool calling, and streaming.
Build and maintain AI agent orchestration pipelines using LangGraph and multi-agent systems.
Implement real-time features using WebSockets, Server-Sent Events, and pub/sub.
Design and maintain CI/CD pipelines using GitHub Actions and GitLab CI.
Manage containerized deployments using Docker and Kubernetes.
Set up and maintain cloud infrastructure on AWS and/or GCP.
Implement Infrastructure as Code using OpenTofu/Terraform or Pulumi.
Configure observability using OpenTelemetry, Prometheus, Grafana, and Sentry.
Manage PostgreSQL with pgvector, MongoDB, and Redis Stack databases in production.
Apply security best practices for secrets management, IAM, encryption, and HIPAA.
Build data pipelines for AI model inputs and outputs.
Implement vector search using pgvector or Redis Stack.
Set up embedding pipelines and RAG infrastructure.
Optimize LLM API costs through caching, batching, and model routing.
Deploy and manage AI agents with state management and recovery.
Contribute to React 19/Next.js 15 frontend development when needed.
Build internal tools and admin dashboards.
Implement API integrations and data fetching with TanStack Query.
Support the frontend team with backend requirements and API design.

Desired Qualifications

Kubernetes using EKS/GKE, Helm, ArgoCD, and GitOps patterns.
OpenTofu/Terraform, Pulumi, or AWS CDK.
LangGraph, LlamaIndex, vector databases, RAG pipelines, and agent frameworks.
Pipecat, LiveKit, OpenAI Realtime API, and WebRTC.
Working knowledge of React 19, Next.js 15, and TypeScript.
OpenTelemetry, distributed tracing, Prometheus, and Grafana.
OAuth2/OIDC, secrets management using Vault or AWS Secrets Manager, and HIPAA.

Full Stack Developer (Backend & DevOps)

2070Health · Bengaluru, India · Full-time · Posted 2026-01-21

Workplace: on_site

Department: 2070 Health

Description

About 2070Health

2070Health is a healthcare venture studio building the future of health technology. We incubate, build, and scale multiple portfolio companies that leverage AI to transform healthcare delivery, talent management, and patient outcomes.

Our portfolio includes products like Xponentiate (AI-powered recruitment platform) and the 2070 Agentic Platform (AI workflow orchestration engine with 8 LangGraph agents). We're a lean, fast-moving team where engineers work across multiple products, ship frequently, and directly impact millions of lives.

Role Overview

We're looking for a Backend & DevOps-heavy Fullstack Engineer who can architect, build, and operate scalable AI-powered systems. You'll own backend services, data pipelines, and cloud infrastructure while being comfortable contributing to frontend when needed.

This role is ideal for someone who:

Loves building robust, scalable backend systems
Is excited about AI/ML infrastructure and LLM orchestration
Has strong DevOps instincts (automate everything, infrastructure as code)
Can context-switch between multiple products and tech stacks

Responsibilities

Primary (Backend & Infrastructure — 70%)

1. Backend Development:

Design and build async APIs using Python 3.12+ and FastAPI with Pydantic v2
Implement complex business logic with proper domain modeling and validation
Build event-driven architectures with Redis Streams and message queues
Develop durable workflow systems using Temporal or Inngest
Integrate with LLM providers using structured outputs, tool calling, and streaming
Build and maintain AI agent orchestration pipelines (LangGraph, multi-agent systems)
Implement real-time features using WebSockets, Server-Sent Events, and pub/sub

2. DevOps & Infrastructure:

Design and maintain CI/CD pipelines (GitHub Actions, GitLab CI)
Manage containerized deployments using Docker and Kubernetes
Set up and maintain cloud infrastructure on AWS and/or GCP
Implement Infrastructure as Code using OpenTofu/Terraform or Pulumi
Configure observability stack (OpenTelemetry, Prometheus, Grafana, Sentry)
Manage databases (PostgreSQL with pgvector, MongoDB, Redis Stack) in production
Ensure security best practices (secrets management, IAM, encryption, HIPAA)

3. AI & Data Infrastructure:

Build data pipelines for AI model inputs and outputs
Implement vector search using pgvector or Redis Stack
Set up embedding pipelines and RAG infrastructure
Optimize LLM API costs through intelligent caching, batching, and model routing
Deploy and manage AI agents with proper state management and recovery

Secondary (Frontend — 30%)

Contribute to React 19/Next.js 15 frontend when needed
Build internal tools and admin dashboards
Implement API integrations and data fetching with TanStack Query
Support frontend team with backend requirements and API design

Requirements

Must Have

1. Python:

Python 3.12+, async/await, type hints
Modern Python patterns

2. Web Frameworks:

FastAPI, Pydantic v2
SQLAlchemy 2.x with async
Dependency injection

3. Databases:

PostgreSQL 16+ (advanced SQL, pgvector)
Redis Stack 7.x (cache, streams, vector search)

4. Workflow/Queues:

Temporal, Inngest, or Celery
Event-driven patterns

5. AI/LLM Integration:

Claude/OpenAI API integration
Structured outputs, tool calling, streaming

6. DevOps:

Docker, CI/CD (GitHub Actions)
Linux, basic Kubernetes

7. Cloud:

AWS (ECS/EKS, RDS, Lambda, S3, SQS) or GCP equivalent

Good to have

Kubernetes (EKS/GKE), Helm, ArgoCD, GitOps patterns
OpenTofu/Terraform, Pulumi, or AWS CDK
LangGraph, LlamaIndex, vector databases, RAG pipelines, agent frameworks
Pipecat, LiveKit, OpenAI Realtime API, WebRTC
React 19, Next.js 15, TypeScript (working knowledge)
OpenTelemetry, distributed tracing, Prometheus, Grafana
OAuth2/OIDC, secrets management (Vault, AWS Secrets Manager), HIPAA

Benefits

Why join us?

Build AI-native backend systems from the ground up
Own infrastructure for multiple products across the portfolio
High ownership — you'll make critical architectural decisions
Work with cutting-edge AI orchestration (LangGraph, Pipecat, LLM agents)

Apply

Apply at 2070Health

About the Company

2070Health

Healthcare venture studio building patient-centric startups

2070 Health is a venture studio in India that identifies gaps in care and builds patient-centric healthcare companies from the ground up. It validates unmet needs through research and conversations with doctors and patients, then pairs validated ideas with founders and provides seed capital, a ready tech stack, clinical input, marketing, and go-to-market support to launch and scale portfolio ventures. The company differentiates itself by combining a hands-on venture-building model with deep healthcare domain knowledge, offering end-to-end support from idea validation to market launch and ongoing operations, backed by experienced leaders and W Health Ventures. Its goal is to launch 12-15 health ventures over five years, retain ownership stakes, and seek exits (strategic sales or IPOs) within five to seven years while expanding patient care and B2B health solutions for India and global partners.

Company size: 51-200
Company stage: Seed
Total funding: $30M
Headquarters: Mumbai, India
Founded: 2023

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