Senior Back End Developer Engineer/Leader

Xcelerated Consulting Group, LLC.; Norwalk (CT); On-site; USD 153,000 - 207,000; Full time

Job summary

Xcelerated Consulting Group, LLC. is seeking a Senior AI Backend Engineer in the Norwalk/NYC area to build secure, scalable AI-powered backend services. You will work on serverless architectures using AWS, Python, and modern data stores to support eligibility, claims, and care workflows.

The role reports to the VP of Engineering and offers a full-time W2 position with benefits and stock options. Local candidates in Norwalk, CT or NYC metro area preferred.

Qualifications

• 10+ years backend engineering experience.
• Proven AWS serverless architecture experience.
• Strong Python, TDD and data modeling skills.
• Experience with HIPAA or health-tech domain is a plus.

Responsibilities

• Design and build large-scale AI, serverless systems on AWS.
• Architect durable AI workflows for claims processing, eligibility, and care workflows.
• Develop backend APIs for B2C and B2B integrations.
• Write high-quality Python services with TDD.
• Ensure secure data flows and HIPAA-aligned patterns.
• Collaborate with analytics, data engineering, and product teams.
• Lead architectural discussions and drive scalable solutions.
• Mentor engineers and contribute to engineering culture.

Skills

AWS serverless

Python

TDD

Distributed systems

Security/compliance

Data modeling

Tools

DynamoDB

API Gateway

Lambda

Kafka/SQS

PostgreSQL

RDS

Job description

This is a leadership full-time (W2) 180K position with benefits plus stock options at a startup healthcare provider. Must be a US citizen or GC holder, local to the Norwalk, CT area or NYC Metro Area.

The company provides Benefit Plans that make healthcare simpler, more transparent, and more predictable for employers, members, and providers. This Senior AI Backend Engineer role is critical to building the secure, scalable platform that powers eligibility ingestion, claims processing generation, provider search, notifications, and care planning workflows that directly shape real member outcomes. The technology-driven healthcare benefits company focuses on coverage that reduces costs while improving member experience and engagement. By combining AI data, analytics, software, and services, the company enables employers, payers, and providers to deliver value-based care with predictable, bundled pricing for episodes such as maternity, surgery, and chronic condition management. This role reports directly to the VP of Engineering. The Senior AI Backend Engineer will lead the design and implementation of high-scale, AI serverless backend services using AWS, Python, Relational and NoSQL databases, and modern architectural designs. You’ll own systems end to end, from AI design, development, and testing through deployment, monitoring, and ongoing improvements. You will collaborate with engineering, analytics, product, and operations teams to build data pipelines, APIs, event-driven workflows, and durable AI processing engines that are foundational to delivering an exceptional, predictable healthcare experience.

This role owns services end-to-end—from AI architecture and implementation through deployment, monitoring, and continuous improvement—ensuring reliability, performance, and security for mission-critical healthcare workflows

What You’ll Do

Design and build large-scale AI, resilient, serverless systems using AWS Lambda, API Gateway, SQS, SNS, DynamoDB, Step Functions, EventBridge, and Kafka.

Architect durable, fault-tolerant AI workflows for claims processing, episode generation, eligibility updates, communication engines, and other core healthcare processes.

Create and evolve backend APIs for both B2C (member portal) and B2B (payer, employer, provider) integrations.

Develop high-quality backend services in Python, following strict test-driven development(TDD) practices.

Build clean, well-structured AI codebases emphasizing maintainability, testability, reliability, and scalability.

Implement secure data flows and storage patterns aligned with HIPAA and healthcare compliance best practices.

Work with structured and semi-structured healthcare data (e.g., eligibility, claims, clinical data).

Partner with Analytics and Data Engineering to ensure data accuracy, consistency, and fidelity.

Continuously improve reliability through canary releases, alarms, automated rollbacks, and well-designed SLOs.

Drive cross-functional architectural discussions and propose scalable, long-term solutions.

Mentor and hire engineers, raise the bar for engineering culture, coding standards, and system design thinking. Work closely with product to refine requirements, define technical specs, and deliver high-value features.

,

10+ years of backend engineering experience, with a proven track record of shipping and operating production-grade systems. Expert-level proficiency in AWS serverless

, including Lambda, DynamoDB, API Gateway, Step Functions, Kafka/SQS, and event-driven architectures.

Strong Python engineering fundamentals, including TDD, dependency injection, modular code, and clean design patterns. Deep understanding of high-scale system design, distributed computing, data modeling, fault tolerance, and observability. Experience building B2C and B2B systems

that serve thousands of users and millions of transactions. Proficiency with

PostgreSQL, DynamoDB, RDS, Kafka, caching strategies, and database schema design. Strong experience building scalable public-facing RESTful APIs. Strong ownership mindset; passion for delivering high-quality, reliable systems from design to production. Experience collaborating with SecOps, DevOps, and analytics teams; comfort with GitHub Actions, IaC, and automated pipelines. Excellent verbal and written communication skills and cross-functional collaboration abilities.

Nice to have:

Experience with healthcare EDI standards (837/834), payer systems, claim processing, HIPAA compliance, or health-tech domain work.

Why This Role Matters

Backend systems power every step of a member’s journey, from eligibility and claims to episode creation and care guidance. By building robust, predictable AI services, this role helps ensure reliable claims and clinical workflows, timely and accurate episodes, intuitive member and advisor experiences, reduced administrative friction, and ultimately better health outcomes driven by trusted data. This Role's work will help make the healthcare experience clearer, safer, and more empowering for the people who need it most.