Lead design and hands-on development of scalable healthcare analytics, ML/AI, and data platform solutions. Architect SaaS cloud services, mentor engineers, align technical strategy with business needs, manage risk, and drive architectural innovation and stakeholder engagement.
HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.
The Principal Software Engineer will play a critical role in the design, development, and evolution of our customer-facing analytics, ML, and AI applications and data platforms. As a key leader of our engineering team, you will collaborate with cross-functional teams to guide the technical strategy, deliver scalable, secure, and high-performance solutions. You will also mentor junior engineers, provide technical oversight, and ensure the team is aligned with the overall strategic vision.You are responsible for ensuring that all software developed by one or more teams at HHA meets our standards for quality, performance, scalability, availability and security by working alongside team members to develop innovative solutions to customer problems.
To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This is a fully remote opportunity for candidates located in the EST or CST time zones within the US only.
Essential Job Duties
- Hands-on Development: Contribute directly to the development of key platform features and components as an individual contributor, ensuring alignment with overall project goals.
- Leadership in Design: Lead the end-to-end design and development of advanced healthcare analytics products, ensuring they are insightful, intuitive, scalable, reliable, secure, and high-performing.
- Architect Healthcare Analytics Solutions: Architect and implement modern analytics, ML and AI applications that support mission-critical business decision-making, workflows and customer experiences.
- Team Enablement and Prioritization: Clearly communicate priorities and expectations to the team, ensuring they have the support and resources to complete their work effectively.
- Quality Ownership: Take full ownership of the quality of all team-delivered features, ensuring they meet both functional and non-functional requirements with well-thought-out designs.
- Drive Architectural Innovation: Identify gaps or areas for improvement in existing patterns. Promote a culture of experimentation and innovation by encouraging the exploration of new technologies, tools, and methodologies that can drive competitive advantages.
- Stakeholder Engagement: Act as the primary technical liaison for executive stakeholders, ensuring clear communication and alignment between engineering and business strategies.
- Risk Management: Identify potential technical risks early in the development lifecycle and implement strategies to mitigate them, ensuring that projects remain on track and within scope.
- Cross-Functional Collaboration: Partner with Product Managers, Product Owners, and other stakeholders to define project scope, assess feasibility, and translate business needs into robust technical solutions.
- Technical Mentorship: Act as a senior technical resource, providing guidance, mentorship, and leadership to engineering teams, cultivating a culture of innovation, accountability, and excellence.
- Stay Ahead of Industry Trends: Continuously monitor emerging healthcare technologies and trends, recommending cutting-edge solutions to maintain a competitive edge.
Other Job Duties
- Other duties as assigned by supervisor or HHAeXchange leader.
Travel Requirements
- Travel up to 10%, including overnight travel
Required Education, Experience, Certifications and Skills
- B.S. or M.S. degree in Computer Science, Engineering, Data Science, or similar field, or a related field, or equivalent significant industry experience.
- 8+ years of experience in software engineering and/or data engineering within a software product company, with a focus on developing insightful, scalable, high-performance analytics applications and systems.
- Extensive experience architecting, building and delivering complex, high-performance SaaS solutions deployed in cloud environments (AWS or similar) using microservices and serverless architectures.
- 5+ years of hands-on experience in the healthcare industry, particularly in developing products for healthcare analytics products.
- 5+ years of experience architecting and delivering applications with significant responsibility across both frontend, backend and data platform development.
- Proficient in modern programming languages such as Java, C#, and Python (preferred), with experience in building and maintaining high volume production-grade solutions.
- Solid understanding of database systems and data warehouses: relational (SQL Server, PostgreSQL), NoSQL, Snowflake and Redshift.
- Proven expertise in modern frontend frameworks such as React, Angular, Vue.js, or similar technologies.
- Hands-on experience with data analytics, AI/ML integrations, generative AI, LLMs, agentic workflows, and AI-assisted software development tools.
- Proven leadership skills with experience mentoring and guiding engineering teams, fostering a culture of excellence and collaboration.
- Experience with Agile methodologies and DevOps practices.
- Strong analytical and problem-solving skills with a track record of delivering innovative, practical solutions.
- Excellent verbal and written communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical stakeholders.
HHAeXchange New York, New York, USA Office
130 W 42nd St, 2nd Floor, New York, NY, United States, 10036
Similar Jobs
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Leads architecture and development of SailPoint’s large-scale, multi-tenant identity security SaaS platform. Translates business strategy into technical roadmaps, designs reliable microservices and infrastructure, drives modernization from monoliths to distributed systems, mentors engineers, reviews designs, delivers code, and communicates technology strategy to executives and stakeholders. The role also requires adoption and oversight of AI-assisted engineering tools and technologies.
Top Skills:
Amazon BedrockAWSClaude CodeCursorDistributed SystemsDockerGoGraphQLKafkaLarge Language ModelsMicroservicesNumpyPandasPostgresPythonPyTorchRedisRest ApisSaaSScikit-LearnTerraformTimescaledbVertex Ai
Machine Learning • Payments • Security • Software • Financial Services
Leads enterprise software architecture and development across multiple product lines, establishes design standards, reviews solutions, troubleshoots complex issues, and provides technical guidance across teams. Supports modernization of on-premise systems and migration to Azure cloud. Partners with engineering and executive leaders on technology strategy, security adaptability, automation, and solution design using agile methods.
Top Skills:
AgileAzureC#DelphiDevOpsDistributed SystemsJavaJavaScriptTypescript
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads modernization of large-scale embedded software test systems. Defines architecture and roadmaps for automated test execution, configuration and variation management, traceability, regression selection, quality gates, and results reporting. Builds integrations across testing, diagnostics, issue tracking, and CI/CD pipelines, while standardizing test data for Databricks analytics. Provides technical leadership across teams, improves testing speed and reliability, and mentors engineers in safety-critical automotive software environments.
Top Skills:
APIsBashCi/CdContainersDatabricksEmbedded SystemsGearsGitInfrastructure As CodeLinuxPure VariantsPythonReal-Time SystemsRobot Framework
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
