Senior Software Engineer

Omada Health is on a mission to bend the curve of chronic disease through virtual-first healthcare and technology solutions. They are seeking an experienced Senior Software Engineer to join their AI Transformation team, focusing on building AI-powered tools and collaborating across engineering to enhance software development processes.

Responsibilities

Build AI-powered tools into engineers’ day-to-day workflows (e.g., Claude, VS Code, GitLab, Datadog, internal documentation, Slack chatops)

Implement and evolve inference and tool-calling pathways using Claude models on Amazon Bedrock, LiteLLM, and MCP/tool gateways within Omada’s secure networks

Partner with teams across Engineering to define AI-augmented SDLC patterns across planning, coding, testing, and operations

Prototype and harden Slack-based chatops experiences that safely orchestrate internal services through business-level agentic harnesses

Instrument and monitor AI usage, performance, and cost to help the team and engineering leadership understand our impact and our organizational maturity

Collaborate with security, compliance, and infrastructure teams to ensure that AI workflows are designed to handle PHI and other sensitive data safely

Create reusable examples, templates, and internal libraries that make it easy for teams to adopt AI-powered workflows without bespoke implementations

Contribute to training, documentation, and office hours that help engineers, PMs, and designers become confident AI users and partners

Qualification

check

Represents the skills you have

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

checkSoftware Engineering Fundamentals

Backend Services Development

checkREST APIs

checkGraphQL APIs

checkEvent-Driven Systems

Service Meshes

checkLarge Language Model Platforms

checkAWS Bedrock

checkOpenAI

checkAnthropic

LiteLLM

checkLangChain

checkProgramming Languages - Ruby

checkProgramming Languages - Python

checkProgramming Languages - TypeScript

checkProgramming Languages - Node.js

checkProgramming Languages - Go

checkAPI Integration

Bot Development

CLI Tools

ChatOps Workflows

checkAWS Cloud Infrastructure

Secrets Management

PHI/PII Data Handling

checkTerraform

Slack App Development

checkAgentic Orchestration Frameworks

checkObservability Tools

Required

8+ years of experience as a Software Engineer working on infrastructure, dev tools, or similar enabling internal systems

Strong experience building backend services and integrations (e.g., REST/GraphQL APIs, event-driven systems, or internal service meshes)

Hands-on experience with at least one modern LLM platform or orchestration layer (e.g., AWS Bedrock, OpenAI, Anthropic, LiteLLM, LangChain, or similar)

Proficiency in at least one modern programming language used for backend and tooling (e.g., Ruby, Python, TypeScript/Node, Go, or similar)

Experience integrating internal services or third-party APIs into bots, CLIs, chatops workflows, or internal tools

Familiarity with AWS cloud infrastructure and secure-by-default patterns for handling secrets, credentials, and sensitive data

Ability to collaborate cross-functionally, translate real-world workflows into technical requirements, and communicate tradeoffs clearly

Excellent communication and documentation skills

Preferred

Experience building Slack apps, chatops tooling, or similar conversational interfaces for internal teams

Experience designing or operating MCP/tool gateways, function-calling agents, or other agentic orchestration frameworks

Familiarity with observability tools and practices to track AI usage, reliability, and cost over time

Practical experience managing infrastructure on AWS with Terraform

Background working in healthcare or other regulated industries where PHI/PII handling, auditability, and compliance are critical