This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Software Engineer based in the United States.
This is a senior technical leadership opportunity focused on building and evolving customer-facing analytics, machine learning, AI applications, and data platforms within the healthcare technology space.
You will combine hands-on engineering with architectural leadership to deliver secure, scalable, high-performance solutions.
The role offers broad technical ownership across frontend, backend, cloud infrastructure, and modern data platforms.
You will influence engineering strategy, guide complex product development, and ensure solutions meet demanding standards for quality, reliability, security, and performance.
Working closely with product, engineering, and executive stakeholders, you will translate business challenges into innovative technical solutions.
You will also mentor engineers, identify architectural opportunities, manage technical risks, and encourage responsible adoption of emerging technologies.
This role is ideal for a seasoned engineer who enjoys solving complex problems while shaping both technology and engineering culture.
Accountabilities
- Contribute hands-on to the development of critical platform features and components while ensuring alignment with broader product and engineering objectives.
- Lead the end-to-end architecture, design, and development of advanced healthcare analytics products that are scalable, intuitive, reliable, secure, and high-performing.
- Architect and implement modern analytics, machine learning, and AI applications that support mission-critical business decisions, workflows, and customer experiences.
- Design and evolve cloud-based SaaS solutions using modern architectures, including microservices and serverless approaches.
- Provide technical direction across frontend, backend, and data platform development, ensuring architectural consistency and long-term maintainability.
- Establish and uphold quality standards for team-delivered software, including functional and non-functional requirements related to performance, scalability, availability, and security.
- Identify gaps in existing technical patterns and drive architectural improvements, experimentation, and adoption of technologies that can create meaningful competitive advantages.
- Communicate priorities, technical direction, and expectations clearly while ensuring engineering teams have the resources and support required to execute effectively.
- Serve as a senior technical liaison for executive stakeholders, connecting engineering strategy with broader business and product objectives.
- Identify technical risks early, develop mitigation strategies, and help keep complex initiatives on track and within scope.
- Partner with Product Managers, Product Owners, and other stakeholders to define requirements, assess feasibility, and translate business needs into robust technical solutions.
- Mentor and guide engineering teams, promoting technical excellence, accountability, collaboration, and continuous improvement.
- Monitor emerging healthcare, analytics, AI, and software engineering trends and recommend technologies or approaches that can strengthen the product and technology strategy.
- Collaborate across teams to deliver innovative solutions to customer problems while maintaining high standards for security, reliability, and performance.
- Travel occasionally, with travel requirements of up to 10%, including potential overnight travel.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent significant industry experience.
- 8+ years of software engineering and/or data engineering experience within a software product organization, with a strong focus on scalable, high-performance analytics applications and systems.
- 5+ years of hands-on healthcare industry experience, particularly developing healthcare analytics products or solutions.
- Extensive experience architecting, building, and delivering complex SaaS solutions in cloud environments such as AWS.
- Strong experience with microservices and serverless architectures.
- 5+ years of experience spanning frontend, backend, and data platform development.
- Proficiency in modern programming languages such as Java, C#, and Python, with experience developing and maintaining high-volume, production-grade systems.
- Strong understanding of relational and non-relational database technologies and data warehouses, including SQL Server, PostgreSQL, NoSQL platforms, Snowflake, and Redshift.
- Proven experience with modern frontend frameworks such as React, Angular, Vue.js, or comparable technologies.
- Hands-on experience integrating data analytics, AI/ML, generative AI, LLMs, and agentic workflows into software products.
- Familiarity with AI-assisted software development tools and an ability to evaluate and adopt emerging technologies thoughtfully.
- Demonstrated technical leadership experience, including mentoring engineers and guiding teams toward high-quality outcomes.
- Experience with Agile methodologies and DevOps practices.
- Strong analytical, problem-solving, architectural, and decision-making skills, with a history of delivering practical and innovative solutions.
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences.
- Strong stakeholder-management and collaboration skills, particularly when working across engineering, product, and executive teams.
- Ability to work independently in a fully remote environment and effectively manage complex priorities.
- Candidates must be located in the EST or CST time zones within the United States.
Benefits
- Base salary range of $165,000–$180,000 per year, excluding variable compensation.
- Exact compensation determined based on factors including experience, education, training, merit, location, and relevant qualifications.
- Competitive health insurance plans.
- Paid time off.
- Company-paid holidays.
- 401(k) retirement program with company match.
- Additional company-sponsored benefits and programs.
- Fully remote work opportunity for eligible candidates in the United States.
- Opportunity to work on healthcare technology, analytics, AI, and data platforms with meaningful customer impact.
- Senior-level influence over technical architecture, engineering practices, and product innovation.
- Opportunity to mentor engineering teams and contribute to a culture of technical excellence and collaboration.
- Up to 10% travel, including occasional overnight travel.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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