• Joining each and every one of your colleagues in creating an inclusive workspace; • Owning, maintaining, and supporting the reliability, architecture, and evolution of our production machine learning and delivery platform; • Designing, operating, and improving large scale Databricks/Spark pipelines and workflows • Partner with our data scientists to productionize new data and ML-powered products; • Leading improvements on the software integration layers between data pipelines and product workflows; • Growing the team via mentorship and leadership, reviewing technical documents, improving code quality, and improving team performance and processes; • Acting as a senior technical owner in debugging complex production issues and improving system observability; • Collaborating with cross-functional teams to support their data infrastructure needs.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Senior Full Stack Software Engineer to help design, build, and operate high-quality, highly available backend services that power search at scale, and to contribute to the ongoing evolution of IMO Health’s Terminology Search Platform across scalability, automation, and intelligent search. In this hands-on role, you will be part of the team responsible for building and operating IMO Health’s high-availability Terminology Search platform. You will develop and maintain backend services including: - .NET REST APIs - Shared authentication services - Spark and AWS Glue data integration pipelines - Search and graph data layers - AWS infrastructure provisioned with Terraform and Octopus You will also contribute to monitoring, alerting, and test automation, leverage AI tools to accelerate development, and collaborate closely with engineers, architects, product managers, and customer support partners in an engineering-first, agile environment. WHAT YOU’LL DO: - Design, develop, and maintain full-stack platform components and services - Build and evolve REST APIs using C#/.NET - Develop and maintain Spark-based data integration pipelines in AWS environments - Build, deploy, and operate search and data platforms that support high availability and scale - Write high-quality, maintainable code with automated tests, CI/CD pipelines, and monitoring - Collaborate with engineers and architects on system design, scalability, and reliability decisions - Support production systems through monitoring, alerting, and participation in a rotational on-call schedule - Troubleshoot incidents, perform root cause analysis, and implement durable fixes - Partner with the product owner to break work into well-scoped user stories - Validate non-functional requirements, including performance, scalability, reliability, and availability - Follow established architecture and coding standards while minimizing regression risk - Mentor teammates, share knowledge, and contribute to innovation initiatives - Take ownership, act proactively, and anticipate the impact of technical decisions - Collaborate cross-functionally in an agile, engineering-first environment - Continuously learn and apply industry best practices and new technologies Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience - 5+ years of experience building, deploying, and operating high-availability backend and API-driven systems - Strong hands-on coding experience and deep expertise in API development, preferably using C#/.NET - Strong hands-on experience developing Spark-based data pipelines using Python, Scala, or Java in environments such as AWS Glue, EMR, or Databricks - Experience designing and building RESTful APIs that integrate with distributed systems - Hands-on experience developing, deploying, monitoring, and operating high-availability applications, services, or platforms on AWS - Experience with CI/CD pipelines, test automation, and Git, with familiarity with infrastructure-as-code tools such as Terraform and deployment tools such as Octopus - Strong troubleshooting and problem-solving skills in complex production environments - Willingness to participate in on-call rotations, respond to incidents, and drive root cause analysis and improvements - Strong communication skills and ability to collaborate effectively across teams - Ownership mindset, curiosity, and comfort operating with autonomy in a fast-moving environment Preferred Experience - Hands-on experience with high-availability, scalable search or indexing technologies such as Lucene, Elasticsearch, OpenSearch, or graph databases - Experience operating or supporting high-traffic, high-availability platforms in production - Prior experience in healthcare or other mission-critical or regulated domains Compensation $110,000 - $160,000 a year. Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process. Benefits IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health's Careers Page. AI Tools in Hiring We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

• Contributing to the development of CUDA Quantum by building core infrastructure for inter-device communication and efficient execution across multiple processors • Partnering with architects, product managers, and collaborators to create an extensible toolchain integrating quantum architecture specific components • Solving difficult problems at the intersection of compilers, HPC and quantum computing to enable ground-breaking research and technology • Discussing and refining software designs and implementation strategies with peers • Improving processes and infrastructure to accelerate our development

• Lead the design, documentation, and communication of end-to-end system architectures that align with Ozmo's strategic goals, including AI-first capabilities that handle non-deterministic outputs, continuous evaluation, and graceful fallbacks. • Architect scalable AI inference and retrieval stacks (vector/graph stores, embedding pipelines, RAG systems, caching, batching, streaming), balancing accuracy, cost, and latency targets. • Define and own architectural standards for AI-enabled systems, including agent orchestration, memory/state management, guardrails, model versioning, evaluation gates, and safe rollout practices. • Architect multi-tenant AI patterns across the platform, including per-customer data isolation, access control, model configuration, data residency, and cost allocation. • Collaborate with customers' technical teams to evaluate requirements, architect integrations, and ensure seamless deployment aligned with their existing systems. • Partner with product, data, ML, and engineering leaders to translate AI opportunities into deployable system designs; guide tradeoffs between deterministic services and model-driven components. • Create reusable reference architectures and "golden paths" for teams shipping AI features, accelerating delivery while maintaining quality standards. • Mentor engineers and foster a culture of innovation, experimentation, and technical excellence. • Ensure AI systems adhere to Ozmo’s reliability, security, and compliance requirements, including PII handling, policy enforcement, auditability, and incident response for AI components. • Contribute to long-term technical roadmaps and architectural reviews that include AI-first design principles.