Senior Software Engineer

Surescripts

14d•$142,700 - $174,500•Hybrid

About The Position

Surescripts is seeking to connect with Senior Software Engineers for current or future opportunities. This evergreen posting may not correspond to an active opening, and there may not be an immediate hiring timeline. The role involves designing, developing, assessing, and troubleshooting software applications in an Agile environment for a large healthcare information network. Engineers collaborate with architects, customers, product partners, and other engineers to build high-volume applications that process millions of transactions daily, store multiple terabytes of data, and serve hundreds of thousands of customers. Senior Software Engineers provide technical leadership across the software development life cycle and are expected to use approved AI tools responsibly while remaining accountable for results. The position includes developing secure and reliable solutions, improving quality and delivery practices, supporting production systems, mentoring colleagues, and designing AI-enabled components that meet architectural, security, privacy, governance, compliance, and quality standards. Surescripts uses a Flexible Hybrid Work model for most positions. Employees may work virtually and use offices as collaboration centers, with office attendance arranged in alignment with leadership. Applicants must have unrestricted U.S. work authorization; visa sponsorship and employer endorsement for academic training programs are not available. The stated base pay range is $142,700–$174,500 per year. Surescripts describes itself as a midsize company and offers employee development opportunities, competitive compensation, and extensive benefits.

Requirements

Bachelor’s degree in software engineering, computer science, a related field, or equivalent experience.
At least 5 years of experience in related, progressive software engineering roles.
Technical fluency in multiple programming languages, such as C#, Java, Groovy, Scala, Python, TypeScript, or JavaScript.
Technical fluency with current tools and platforms for developing, building, testing, deploying, and monitoring software systems.
Experience using modern AI-assisted software development tools to support coding, testing, debugging, documentation, analysis, and software delivery workflows.
Demonstrated ability to provide technical leadership, collaborate effectively, communicate clearly, work through ambiguity, and mentor or guide other engineers.
Valid U.S. work authorization allowing employment without restrictions; visa sponsorship and employer endorsement for academic training programs are unavailable.

Nice To Haves

Experience with high-volume, data-intensive applications.
Experience building web services and distributed systems.
Hands-on software troubleshooting, root-cause analysis, and production support experience.
Familiarity with relational and non-relational database technologies.
Knowledge of application security, observability, data privacy, and responsible software delivery practices.
Healthcare technology industry experience.
Understanding of AI governance, security, privacy, compliance, quality, and responsible-use practices for software systems.
Experience leveraging generative AI tools such as GitHub Copilot, Claude, Gemini, or ChatGPT throughout the product delivery life cycle.

Responsibilities

Lead the conceptualization, design, development, and troubleshooting of software applications, collaborating across disciplines to deliver secure, reliable solutions.
Provide technical leadership throughout the software development life cycle for epics, projects, features, and applications, including requirements, estimates, designs, tradeoffs, delivery, partner communication, and production support.
Lead design and code reviews; establish automated testing; validate acceptance criteria; monitor production systems; and investigate defects, incidents, and test-coverage gaps.
Promote shift-left quality practices to shorten feedback loops, reduce rework, prevent recurring defects, and improve release confidence.
Cultivate and share development, testing, troubleshooting, documentation, security, data privacy, observability, and Agile best practices through technical discussions, backlog reviews, retrospectives, and training.
Design and maintain AI-enabled components in accordance with architectural, security, privacy, governance, compliance, and quality standards, while identifying and mitigating associated risks.
Identify and implement responsible uses of AI and automation that improve productivity, quality, operational efficiency, and customer outcomes, measuring impact to guide continuous improvement.
Mentor team members, communicate technical ideas clearly, escalate complex issues, and create documentation that supports the team.