Senior Software Engineer, Core Systems & Integrations [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Core Systems & Integrations based in United States.

This role offers the opportunity to build critical technology powering modern healthcare experiences at scale.
You will design and develop reliable backend systems that transform complex health data into meaningful insights for care teams and users.
The position sits at the intersection of software engineering, data integrations, and healthcare workflows.
You will lead technical initiatives, influence architecture decisions, and deliver scalable solutions that directly impact patient outcomes.
Working with cross-functional teams, you will help solve challenging engineering problems while improving reliability, data quality, and system performance.
This is an ideal opportunity for an experienced engineer passionate about building impactful products in a mission-driven environment.

Accountabilities

As a Senior Software Engineer, you will lead the design, development, and evolution of backend systems and integrations that support data-driven healthcare solutions. You will own complex technical projects from concept through production while collaborating with engineering, product, clinical, and data teams.

• Design, build, and maintain scalable backend services that ingest, process, and deliver high-volume health data.
• Lead technical initiatives focused on improving system reliability, observability, performance, and data integrity.
• Drive architecture decisions for integrations with third-party data sources, APIs, and connected health platforms.
• Develop robust solutions that translate healthcare requirements into reliable technical implementations.
• Improve system resilience and ensure accuracy across clinically important workflows.
• Own projects end-to-end, including technical design, implementation, testing, deployment, and ongoing operational support.
• Partner with product, clinical, and data science teams to define solutions for complex business and healthcare challenges.
• Mentor engineers and contribute to improving engineering standards through design reviews, testing practices, documentation, and operational excellence.
• Support roadmap planning by breaking down ambiguous technical challenges into clear and actionable engineering initiatives.
• Contribute to the continuous improvement of development processes, infrastructure, and platform capabilities.

Requirements

The ideal candidate is a highly experienced backend engineer who enjoys solving complex technical problems and building reliable systems that operate at scale. You should have strong software engineering fundamentals, experience with distributed systems, and the ability to collaborate effectively across teams.

• 7+ years of professional software engineering experience with a strong backend development focus.
• Experience building backend applications using modern frameworks and languages such as Ruby on Rails and Python.
• Strong experience with relational databases including PostgreSQL or MySQL.
• Proven experience designing and operating distributed systems with high reliability and data integrity requirements.
• Experience working with data pipelines, event-driven architectures, real-time processing systems, or large-scale integrations.
• Strong understanding of software engineering best practices, including testing, documentation, and maintainable architecture.
• Ability to communicate clearly with technical and non-technical stakeholders and translate business needs into technical solutions.
• Comfortable working independently, managing complex projects, and navigating ambiguity in a fast-paced environment.
• Strong collaboration skills with a passion for mentoring and supporting other engineers.

Preferred qualifications include:

• Experience working in healthcare, medical technology, or regulated environments such as HIPAA or FDA-regulated systems.
• Familiarity with connected health devices, including continuous glucose monitors, wearables, or remote monitoring technologies.
• Experience improving data quality, validation processes, or reconciliation pipelines.
• Background building infrastructure platforms or systems used by multiple engineering teams.
• Experience with AWS, cloud platforms, Docker, Kubernetes, GraphQL, and modern CI/CD practices.

Benefits

• Competitive salary with annual cash bonus opportunities.
• Equity grant opportunities.
• Remote-first work culture with flexibility to work from home.
• Flexible paid time off to support rest, personal commitments, and wellbeing.
• Generous parental leave benefits.
• Comprehensive health, dental, and vision insurance with strong employer contributions.
• 401(k) retirement savings plan.
• Lifestyle Spending Account (LSA).
• Mental health support solutions.
• Opportunities to work on meaningful technology that improves healthcare delivery.
• Collaborative culture focused on trust, innovation, impact, and teamwork.

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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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.