job summary:
Principal Software Engineer Your role is hands-on, driving innovation and early-stage development efforts. You will champion the exploration and adoption of new technologies, including AI platforms, to inform and accelerate our clinical product development. You'll demonstrate ownership and initiative to build product and system knowledge, contribute to coding solutions, understand technical trends and best practices, and implement these effectively. Success in this role will ensure successful, high-quality technical delivery and implementation of our software solutions, especially as they integrate new AI capabilities.
location: Telecommute
job type: Contract
salary: $75 - 100 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
Key Responsibilities
Product Focus & Innovation : Closely collaborate with engineering teams to architect and develop resilient, reliable, scalable, secure, compliant, and highly available products, while specifically researching and prototyping new architectural patterns for AI integration.
Discovery & Technical Roadmap: Contribute toward technical roadmap refinement by researching new technologies, tools, and frameworks for potential adoption, particularly those related to Generative AI and Agentic Architectures.
Standards/Best Practices : Identify, document, communicate, champion, and drive adoption for standards, policies, processes, best practices, and aligned software architecture/software engineering points of view, including new paradigms introduced by AI systems.
Technical Leadership : Provide technical guidance, mentorship, and feedback to team members to grow overall team capabilities, especially in emerging technical areas.
Outcome-Oriented: Display ownership of outcomes. Provide trusted expertise for effort estimates and offer alternate approach recommendations along with associated tradeoffs/risks where appropriate.
Industry Knowledge: Keep current on industry standards and bring insights back to the team.
Required Experience/Skills
The role requires a strong foundation in core software engineering and distributed systems, coupled with experience in AI-focused platforms.
Experience & Expertise :
10+ years of overall hands-on software engineering experience.
6+ years of experience and expertise in designing, developing, and consuming RESTful APIs.
Experience in architecting, designing, and developing complex, cloud-native, scalable, performant, and highly available distributed systems.
Expertise in microservice architectural patterns and design.
Technical Stack :
Expertise in Java/Spring Boot.
Experience in Python
Expert understanding of relational and NoSQL databases (e.g., Postgres, MongoDB, Neo4j), SQL, and database/schema design.
Experience with Google Cloud Platform compute platforms, including container orchestration (Google Kubernetes Engine - GKE) and serverless (Cloud Run, Cloud Functions).
Experience with message broker/event queue technologies (e.g., Rabbit, Google Cloud Platform Pub/Sub).
Experience working with API management platforms (e.g., Apigee X).
Strong verbal and written communication skills.
Preferred Experience / Skills
Generative AI Platforms: Experience with Google Cloud's AI platform services, such as Vertex AI, Agent Builder, and related Generative AI tools (e.g., LangChain).
Data & Analytics: Experience with data warehousing and analytics platforms, particularly Google BigQuery.
Healthcare Data: Experience with healthcare data standards, such as HL7 and FHIR.
Innovation & Prototyping :
Demonstrated ability to drive innovation, research emerging technologies, and build rapid prototypes/proofs-of-concept.
qualifications:
Required Experience/Skills
The role requires a strong foundation in core software engineering and distributed systems, coupled with experience in AI-focused platforms.
Experience & Expertise:
10+ years of overall hands-on software engineering experience.
6+ years of experience and expertise in designing, developing, and consuming RESTful APIs.
Experience in architecting, designing, and developing complex, cloud-native, scalable, performant, and highly available distributed systems.
Expertise in microservice architectural patterns and design.
Technical Stack:
Expertise in Java/Spring Boot.
Experience in Python
Expert understanding of relational and NoSQL databases (e.g., Postgres, MongoDB, Neo4j), SQL, and database/schema design.
Experience with Google Cloud Platform compute platforms, including container orchestration (Google Kubernetes Engine - GKE) and serverless (Cloud Run, Cloud Functions).
Experience with message broker/event queue technologies (e.g., Rabbit, Google Cloud Platform Pub/Sub).
Experience working with API management platforms (e.g., Apigee X).
Strong verbal and written communication skills.
Preferred Experience / Skills
Generative AI Platforms: Experience with Google Cloud's AI platform services, such as Vertex AI, Agent Builder, and related Generative AI tools (e.g., LangChain).
Data & Analytics: Experience with data warehousing and analytics platforms, particularly Google BigQuery.
Healthcare Data: Experience with healthcare data standards, such as HL7 and FHIR.
Innovation & Prototyping:
Demonstrated ability to drive innovation, research emerging technologies, and build rapid prototypes/proofs-of-concept.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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