Software Engineer, Senior
$152k - $189.26kTraceLink
Company overview: TraceLink is the world's largest Agentic Business Network, enabling life sciences and healthcare companies to build and manage a scalable digital workforce of governed, no-code AI agents that execute and coordinate mission-critical supply chain operations alongside human teams. Powered by the Integrate-Once™ OPUS platform, TraceLink links more than 300,000 network participants, enabling multi-enterprise processes at global scale. Founded in 2009 with the simple mission of protecting patients, today Tracelink has 5 global offices, over 800 employees and more than 1700 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT. Tracelink is recognized as an industry leader by Gartner and IDC, and for having a great company culture by Comparably. Senior Software Engineer
Position Overview As a Senior Software Engineer at TraceLink, you'll design, build, test, deploy, and maintain secure, scalable software across our cloud platform. You'll independently own complex features from discovery through production, lead technical implementation, collaborate across teams, mentor engineers, and help continuously improve our engineering practices. AI-assisted engineering is a core part of how we work. You'll use approved AI tools to accelerate design, development, testing, debugging, documentation, and analysis while applying strong engineering judgment to ensure quality, security, and maintainability.
What You'll Do
Position Overview As a Senior Software Engineer at TraceLink, you'll design, build, test, deploy, and maintain secure, scalable software across our cloud platform. You'll independently own complex features from discovery through production, lead technical implementation, collaborate across teams, mentor engineers, and help continuously improve our engineering practices. AI-assisted engineering is a core part of how we work. You'll use approved AI tools to accelerate design, development, testing, debugging, documentation, and analysis while applying strong engineering judgment to ensure quality, security, and maintainability.
What You'll Do
- Design, develop, test, and maintain scalable cloud-native applications, APIs, distributed systems, integrations, and event-driven workflows.
- Own complex features end-to-end, including technical design, implementation, testing, documentation, deployment, and production support.
- Lead technical delivery for complex stories, epics, and cross-team initiatives.
- Evaluate technical approaches, dependencies, risks, and tradeoffs and provide reliable estimates.
- Collaborate with Product, Architecture, QA, Security, Operations, Support, and other engineering teams.
- Build secure, performant, maintainable, observable, and well-tested software.
- Participate in architecture discussions, design reviews, and peer code reviews.
- Troubleshoot complex production issues and deliver durable solutions.
- Create clear technical documentation, including designs, APIs, data models, runbooks, and troubleshooting guides.
- Mentor engineers and promote knowledge sharing and engineering best practices.
- Use AI-assisted engineering tools to improve development, testing, debugging, documentation, estimation, and productivity while validating generated output.
- Continuously improve system reliability, engineering workflows, and technical quality.
- 8+ years of professional software development experience or equivalent expertise.
- Strong Java development experience.
- Experience building RESTful APIs, distributed systems, and cloud-native applications.
- Experience with AWS or comparable cloud platforms.
- Experience with relational and NoSQL databases.
- Strong debugging and troubleshooting skills.
- Experience with CI/CD, source control, automated testing, secure development, and modern engineering practices.
- Demonstrated ability to independently deliver complex features from design through production.
- Strong communication and cross-functional collaboration skills.
- Experience responsibly using AI-assisted engineering tools.
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- Experience with RxJava or functional programming.
- Experience with event-driven architectures, messaging systems, microservices, and distributed computing.
- Experience with large-scale enterprise SaaS platforms.
- Experience designing versioned APIs and shared business object models.
- Experience with identity, authorization, auditing, and security-focused design.
- Experience developing software for regulated industries, pharmaceutical, supply chain, or manufacturing environments.
- Experience mentoring engineers and leading technical delivery.
Vacancy posted 2 days ago
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