Senior Back End Developer Engineer​/Leader

Company Description

Xcelerated Consulting Group, LLC (XCG) is a management consulting firm specializing in AI and data science services for enterprise clients. The company helps organizations modernize operations and increase revenue through AI transformation and advanced analytics solutions. XCG delivers Microsoft Copilot and Azure OpenAI ChatGPT services to unlock value from data warehouses, databases, documents, and other knowledge bases. XCG focuses on innovative digital applications and data-driven strategies to support clients in the evolving technology landscape.

The position is full-time (W2) with benefits and stock options at a startup healthcare provider. Must be US citizen or a GC holder local to the Stamford, CT area. Candidates must be interested in working in a start-up environment.

The company provides Benefit Plans that make healthcare simpler, more transparent, and more predictable for employers, members, and providers. This Senior 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 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 Backend Engineer will lead the design and implementation of high-scale, serverless backend services using AWS, Python, Relational and No

SQL databases, and modern architectural designs. You'll own systems end-to-end, from 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 processing engines that are foundational to delivering an exceptional, predictable healthcare experience.

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

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

Architect durable, fault-tolerant 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 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 Sec Ops, Dev Ops, and analytics teams; comfort with Git Hub Actions, IaC, and automated pipelines. Excellent verbal and written communication skills and cross-functional collaboration abilities.

Experience with…