Sr. Software Engineer

Key Responsibilities

• Lead the design of complex software development features and ensure solutions are scalable, effective, and maintainable.
• Collaborate with solution managers, designers, and other teams to gather requirements, translate them into technical specifications, and ensure alignment with priorities and project goals.
• Analyze and solve complex technical problems, identify bottlenecks, and prepare technical documentation to optimize system performance.
• Facilitate code reviews, provide constructive feedback, and lead by example in code quality, development best practices, and problem-solving approaches.
• Ensure code meets functional and performance requirements, and advocate for high-quality software and ensure rigorous testing processes, including automated unit tests, integration tests, and other testing frameworks.
• Leverage AI tools and platforms as an integral part of daily responsibilities to enhance decision-making, streamline workflows, and drive data-informed outcomes.

Required Qualifications

• Bachelor's Degree or equivalent work experience
• At least 4-6 years of relevant work experience
• Strong proficiency in object-oriented programming and design patterns
• Experience designing and building distributed systems or microservices architectures
• Experience with CI/CD pipelines and automated deployment workflows
• Strong understanding of software testing methodologies (unit, integration, end-to-end)
• Experience working in Agile/Scrum development environments

Preferred Qualifications

• AI-enabled development: Experience or interest in using AI tools (e.g., Claude) to support software development
• Backend development: Experience with .NET/C#
• Frontend development: Experience with modern web technologies, such as JavaScript, and frameworks, like Angular
• APIs & integrations: Familiarity with RESTful services or web service integration
• Databases: Experience working with relational or cloud-based databases, such as SQL Server
• Cloud & infrastructure: Exposure to cloud platforms (e.g., GCP) and infrastructure-as-code tools (e.g., Terraform)
• Healthcare technology: Familiarity with interoperability standards such as FHIR or HL7
• Containerization & orchestration: Experience with Docker and Kubernetes for deploying and managing services
• Messaging & event-driven architecture: Familiarity with message brokers such as Pub/Sub, Kafka, or RabbitMQ
• Migration & modernization: Experience upgrading legacy systems or migrating workloads to modern frameworks/runtimes (e.g., .NET upgrades)