Technical leader designing and implementing backend features for a FHIR-based healthcare data platform. Owns high-level design, microservices, data pipelines, CI/CD, cloud deployments, and clinical reasoning components (dQM/CQL). Guides customer implementations, resolves complex technical challenges, and mentors junior developers to uphold coding and architecture standards.
Working for a company like Smile Digital Health means supporting our mandate for #BetterGlobalHealth. We strive towards this goal every day, and the results can be seen in the impact of our innovative health data platform and data management solutions, which are used in over 20 countries. We were #19 on Deloitte's Technology Fast 50 Ranking for 2024!
Smile Digital Health makes it easy for healthcare stakeholders to collect and exchange data with our leading FHIR-based data liberation platform.
At its heart, the Smile platform enables people and organizations to better manage healthcare data. We help generate and liberate structured healthcare data to ensure effective delivery across care teams and health systems bringing #BetterGlobalHealth to patients everyday!
Apply today and find plenty of reasons to SMILE!
The Staff Software Developer is a technical leader that works closely with all areas of the business to drive high impact Clinical Intelligence projects by gathering product requirements and design, evaluating and resolving complex system challenges, and implementing and testing components of the system. This role will also guide and mentor associate level Software Developers and drive a culture of technical excellence across the organization.
Responsibilities:
- Design, develop and implement Smile Digital Health’s core application features.
- Lead tasking sessions for new features.
- Provide high-level design and estimates to support SOW and innovation projects.
- Analyze and solve complex and escalated challenges, identify risks and roadblocks, and effectively implement solutions.
- Develop and analyze solutions to ensure that they are interoperable, performant and maintainable.
- Analyze and evaluate requirements and propose high-level design and technical solutions at all stages of development.
- Lead and support distributed dQM processing, CQL execution, validation and clinical reasoning
- Act as a key technical leader for complex project challenges and roadblocks.
- Serve as technical lead for customer-facing implementation.
- Provide guidance and coaching to team members to resolve complex technical challenges.
- Advise and drive software development best practices to ensure robust and solid technical design.
- Work closely with all areas of the business to refine product requirements and design, implement and test components of the system.
- Mentor and coach junior Software Developers to foster a culture of learning, growth and technical excellence.
- Establish and maintain high coding standards for the team and/or department.
Core Software Development:
Technical Leadership:
Requirements:
- 10+ years in the software development lifecycle, ideally within healthcare technology; 4+ years in senior or staff-level development roles.
- Post-secondary degree, diploma, or certificate in Computer Science, Software Engineering, or equivalent professional experience.
- Proven experience developing software applications with strong unit and functional testing practices.
- Expertise in backend development using Java and Spring Boot; hands-on experience with microservices and distributed systems architecture.
- Demonstrated skills in designing and developing APIs, preferably RESTful and FHIR-based.
- Experience building and maintaining data pipelines, ETL/ELT processes, and streaming systems (e.g., Kafka).
- Hands-on experience with cloud platforms (AWS, Azure, or GCP), Kubernetes (EKS), Docker, and Helm.
- Experience implementing CI/CD pipelines and infrastructure-as-code practices.
- Demonstrated ability to deliver end-to-end features and solutions.
- Experience building complex healthcare systems; familiarity with healthcare data standards (HL7, FHIR) preferred.
- Exposure to Digital Quality Measures (dQM), Clinical Quality Language (CQL), and terminology standards (SNOMED, LOINC) is an asset.
- Proven ability to drive technical decisions, lead projects, and mentor development teams.
- Demonstrated ability to translate technical concepts to clear and understandable non-technical terms for cross-functional teams and customers.
- Excellent written and verbal communication skills with strong collaboration abilities across technical and non-technical stakeholders.
Smile discloses that artificial intelligence (AI) may be used in portions of the recruitment and selection process, such as resume screening or application assessment. All hiring decisions are ultimately made by qualified human decision-makers, and AI tools are used to support — not replace — fair and equitable hiring practices.
Some of the benefits we offer:
* Remote Work Environment
* Flexible Time Away From Work Policy including PTO, Personal and Sick Days
* Competitive Salary and Health/Medical Benefits
* RRSP/TFSA/401K Employee Contribution
* Life and Disability
* Employee Assistance Program
* FHIR Study Program and Skillsoft Learning
* Super HAPI Fun Club
Smile's core values include respect, inclusion, embracing our differences, and celebrating shared values because our people are the foundation of our success. We are big on creating a sense of belonging and empowering each other to bring our authentic selves to work. We are dedicated to fostering a workplace that values diversity, equity, and inclusion.
We welcome and encourage candidates of all backgrounds to apply. Candidates are encouraged to inform us if they wish to discuss or require accommodations during interviews or while working at Smile.
Similar Jobs
Artificial Intelligence • Fintech • HR Tech • Social Impact • Software • Analytics
Design, build, and operate high-throughput distributed backend systems using Go and Python. Develop Kafka-based event pipelines, REST, GraphQL, and gRPC APIs, optimize Postgres schemas and queries, and manage cloud infrastructure across GCP and AWS with Terraform and GitHub Actions. Maintain reliability, observability, and performance using Datadog. Own technical domains end-to-end, write design specifications, review code, deploy services, and support on-call operations.
Top Skills:
AWSDatadogGCPGithub ActionsGoGraphQLGrpcKafkaOrmsPostgresPythonRestTerraform
Artificial Intelligence • Fintech • HR Tech • Social Impact • Software • Analytics
Own and evolve Syndi, an agent runtime powering in-product chat and integrations. Design, ship, and operate core runtime surfaces (agent loop, tool execution, memory, context), build eval systems, ensure observability and reliability, review consumer integrations, and implement compliance and legal requirements for production LLM systems.
Top Skills:
ClaudeDatadogGoogle Cloud Platform (Gcp)KubernetesLlmsPostgresPythonRagVertex Ai
Artificial Intelligence • Fintech • Software • Automation
Design and build autonomous accounting agents, implement a custom accounting ledger, integrate financial data providers, and ship daily features using TypeScript/Node/Svelte. Work rapidly in an early-stage startup, make product decisions, and engage in customer problem discovery.
Top Skills:
Large Language ModelsNode.jsSvelteTypescript
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

