Software Engineer Lead

Responsibilities

• Lead the design, development, testing, deployment, and maintenance of software applications supporting laboratory and business operations.
• Be a hands-on implementation lead for software projects using the latest technologies for software development and integrations, and also manage a small team of engineers for this.
• Participate actively in software design, code reviews, troubleshooting, and implementation activities.
• Be a champion of software best practices in partnership with QA by conducting risk analysis, identifying test data, and improving CI/CD within Informatics and stakeholder teams aimed at high quality deliverables.
• Promote engineering best practices for software quality, security, performance, maintainability, and reliability.
• Support Agile development processes including sprint planning, backlog refinement, estimation, and release planning.
• Ensure software solutions comply with applicable regulatory requirements including HIPAA, CLIA, CAP, FDA (as applicable), and internal quality standards.
• Support validation, documentation, audit readiness, and compliance activities.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 6+ years of software development experience.
• 2+ years serving as a technical lead, senior engineer, or equivalent leadership role.
• Demonstrated expertise across the full software development stack, including Python, Java, JavaScript, database design and management, DevOps practices, CI/CD automation, and modern software engineering principles.
• Experience working in a regulated healthcare, diagnostics, laboratory, or life sciences environment.
• Experience supporting production applications and resolving complex technical issues.
• Experience working with distributed or offshore development teams.
• Experience with enterprise application and automation system integrations.
• Strong understanding of Agile methodologies including Scrum and Kanban.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong experience with APIs, microservices, and modern application architectures.
• Excellent problem-solving, analytical, and communication skills.