Contribute to healthcare tech solutions by combining software development, DevOps, and data operations. Collaborate cross-functionally to build scalable, reliable systems. Improve deployment processes and platform reliability using modern cloud technologies and automation practices.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software/DevOps Engineer based in the United States.
This role offers the opportunity to contribute to healthcare technology solutions by combining software development, DevOps practices, and data operations.
You will work in a product-focused environment where reliability, automation, and operational excellence directly impact meaningful customer and patient outcomes.
The position blends backend engineering, cloud operations, and data workflow ownership rather than traditional infrastructure management.
You will collaborate closely with engineering, product, analytics, and support teams to build scalable and dependable solutions.
Using modern cloud technologies and automation practices, you will improve system performance, deployment processes, and platform reliability.
This is an opportunity for an experienced engineer who enjoys solving complex problems, improving processes, and making a measurable impact through technology.
Accountabilities
As a Software/DevOps Engineer, you will support both software development and operational execution within a collaborative product environment. You will build and maintain backend services, improve deployment reliability, manage critical data operations, and contribute to secure, scalable technology solutions.
- Design, develop, maintain, and enhance backend services and supporting applications.
- Build and improve data ingestion components, including integrations, transformations, validation processes, and automation workflows.
- Troubleshoot production issues, perform root-cause analysis, and implement long-term solutions to improve reliability.
- Develop internal tools and automation that reduce operational complexity and improve engineering efficiency.
- Own recurring product data ingestion cycles, monitor execution, manage retries, and resolve failures or partial data loads.
- Validate data completeness, accuracy, and timeliness while coordinating with product, analytics, and support teams when issues arise.
- Maintain and improve CI/CD pipelines to support safe and reliable application deployments.
- Coordinate releases, monitor application health, review logs and alerts, and respond to production incidents.
- Manage environment configurations and secrets while following security best practices.
- Improve operational capabilities through monitoring, alerting, retries, timeouts, and other reliability enhancements.
- Collaborate with architecture, engineering, product, data, and support teams to improve platform resilience and technical processes.
- Support secure handling of sensitive healthcare data and contribute to compliance efforts.
- Identify opportunities for automation, process improvement, and better engineering practices.
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The ideal candidate is an experienced software and DevOps professional with strong expertise in cloud-based data systems, backend development, and operational reliability. You should be comfortable working independently, partnering with business teams, and applying technical expertise to solve complex challenges.
- Bachelor’s degree in Computer Science, Informatics, Information Systems, or another quantitative field.
- 10+ years of experience in data engineering, software engineering, DevOps, or a related technical role with demonstrated leadership experience.
- Strong expertise building and administering AWS-native data systems, including Redshift, Aurora, RDS PostgreSQL, Glue, Lambda, Step Functions, and MWAA-Airflow.
- Advanced Python and SQL skills, including complex query design, database optimization, views, stored procedures, and triggers.
- Proven experience working with AWS cloud environments over multiple years.
- Experience with healthcare data, including medical claims, pharmacy claims, or similar sensitive datasets is required.
- Strong understanding of software development practices, cloud operations, CI/CD pipelines, monitoring, and production support.
- Ability to develop deep subject-matter expertise and collaborate effectively with business stakeholders.
- Strong problem-solving skills with a focus on reliability, automation, and continuous improvement.
- Ability to deliver accurate, high-quality work while managing priorities in a collaborative environment.
- Passion for using technology and data to create meaningful business and customer outcomes.
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- Competitive annual base salary ranging from $120,000 to $140,000 USD, plus additional variable compensation based on performance.
- Fully remote work opportunity within the United States.
- 100% company-paid medical, dental, and vision insurance premiums for employees.
- 50% coverage of medical, dental, and vision premiums for dependents.
- 401(k) plan with company match up to 5% of salary, subject to applicable limits.
- Flexible vacation policy designed to support work-life balance and employee well-being.
- Generous paid parental leave for new parents.
- Life and disability insurance coverage.
- Opportunity to work on innovative healthcare technology solutions with meaningful impact.
- Collaborative, inclusive culture focused on transparency, diversity, and continuous improvement.
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!
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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.
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