- Work Schedule
- Standard (Mon-Fri)
- Environmental Conditions
- Office
- Job Description
- We are seeking a Senior Staff Software Engineer to help architect and build the data platform and backend services for our healthcare SaaS solutions.
This is a hands-on technical leadership role requiring deep expertise in database and data architecture, cloud-native backend development, scalability, security, and healthcare interoperability. The ideal candidate combines strong software engineering skills with the ability to design secure, high-performance data architectures for large-scale, multi-tenant applications handling sensitive healthcare data.
- Key Responsibilities
- + Architect and develop scalable backend services and data platforms for multi-tenant SaaS applications.
+ Design and optimize relational and non-relational database architectures, data models, and storage strategies. + Build scalable data ingestion, integration, and processing capabilities for large and complex healthcare datasets. + Design cloud-native data architectures incorporating databases, data lakes/lakehouses, and distributed data platforms. + Develop APIs and integration capabilities supporting healthcare interoperability, including HL7 and FHIR. + Ensure appropriate architecture for security, encryption, access control, auditability, data governance, retention, and regulatory compliance. + Design for high availability, disaster recovery, performance, and scalability. + Provide technical leadership and architectural guidance while remaining hands-on with design and development. + Collaborate with Software Engineering, Product, Security, Quality, and Regulatory teams.
- Required Qualifications
- + Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
+ 10+ years of software engineering experience, including significant backend and data-platform development. + Deep experience designing and optimizing relational databases such as Postgre
SQL, SQL
Server, or MySQL. + Experience with NoSQL technologies such as MongoDB, Cosmos DB, or equivalent. + Strong experience with cloud platforms (Azure, AWS, or GCP) and cloud-native architectures. + Experience with modern data pipelines, ingestion frameworks, data lakes/lakehouses, and distributed data architectures. + Strong understanding of multi-tenant SaaS architecture, APIs, scalability, security, and data governance. + Experience designing systems that handle sensitive or regulated data.
- Preferred Qualifications
- + Healthcare software or regulated-industry experience.
+ Experience with
HL7, FHIR, EHR/EMR
integration, or healthcare interoperability. + Experience with Databricks, Azure Data Factory, Kafka, Spark, or similar technologies. + Experience with containerized environments such as Docker and Kubernetes.
- Compensation and Benefits
- The salary range estimated for this position based in Indiana is $135,800.
00-$203,750.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: + A choice of national medical and dental plans, and a national vision plan, including health incentive programs + Employee assistance and family support programs, including commuter benefits and tuition reimbursement + At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy + Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan + Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewardsThermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
