Software Engineer III

TraceLink, Inc | Supply chain software for life sciences and healthcare

1h 5m ago

On-site

Full Time

United States of America

$132.4k - $161.8k USD/yr

Title: Software Engineer III Location: US - MA - Wilmington

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.

Software Engineer III – Engineering Services

Department: Engineering Services

Location: Wilmington, MA

Reports to: Sr. Manager, Engineering Services

About the Role

We are looking for a Software Engineer III to join the Engineering Services team. This role combines production troubleshooting, stability engineering, and feature development. Engineers investigate customer-impacting issues, turn recurring production patterns into durable improvements, contribute to Product-requested feature packs based on priorities and team capacity, and participate in the on-call rotation.

We expect engineers to use AI-assisted engineering tools to accelerate investigation, implementation, testing, and documentation while owning the quality and correctness of the outcome.

Responsibilities

Investigate and resolve complex production and customer-reported issues.
Analyze logs, APIs, application behavior, data, SQL, and AWS services to identify root causes.
Design and deliver fixes, stability enhancements, automation, and product feature changes.
Identify recurring production patterns and implement improvements that prevent repeat issues.
Contribute to Product-requested feature packs based on priority and team capacity.
Use AI-assisted tools for debugging, implementation, testing, code review, and documentation; validate generated output.
Work independently from problem definition through implementation, testing, and production validation.
Collaborate with Services, Product Engineering, Quality Engineering, and Cloud Operations.
Participate in code reviews, knowledge sharing, and continuous improvement.
Participate in the Engineering Services on-call rotation, including scheduled coverage outside normal business hours as required.

Qualifications

3–5 years of professional software engineering experience, preferably developing and supporting SaaS or distributed applications.
Strong hands-on experience with Java.
Hands-on experience with JavaScript and modern application development.
Hands-on AWS experience and understanding of cloud-based application architectures.
Strong production troubleshooting and root-cause analysis skills.
Experience with REST APIs, SQL/databases, microservices, messaging systems, and distributed applications.
Experience using AI-assisted engineering tools for development, debugging, testing, and technical analysis, with the ability to validate generated solutions.
Experience with Git, CI/CD, automated testing, and code reviews.
Strong communication, collaboration, and ownership.
Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

Scala experience is preferred but not required; the ability and willingness to learn Scala is expected.
Experience with observability tools, containers, or AWS services used in production environments.
Familiarity with Jira and Confluence.

TraceLink is committed to providing competitive compensation and benefits to all employees. This is the estimated base salary range for this role and should serve only as a guide. Final compensation offered may vary based on a variety of factors including but not limited to experience level, fit for the role, skills, domain knowledge, internal equity, budget, and location.

US Pay Range

$132,435.17—$161,842.86 USD

Required Skills

javajavascriptawssqlgit

Required Languages

🇬🇧 English

About the Role

We expect engineers to use AI-assisted engineering tools to accelerate investigation, implementation, testing, and documentation while owning the quality and correctness of the outcome.

Responsibilities

Investigate and resolve complex production and customer-reported issues.

Analyze logs, APIs, application behavior, data, SQL, and AWS services to identify root causes.

Design and deliver fixes, stability enhancements, automation, and product feature changes.

Identify recurring production patterns and implement improvements that prevent repeat issues.

Contribute to Product-requested feature packs based on priority and team capacity.

Use AI-assisted tools for debugging, implementation, testing, code review, and documentation; validate generated output.

Work independently from problem definition through implementation, testing, and production validation.

Collaborate with Services, Product Engineering, Quality Engineering, and Cloud Operations.

Participate in code reviews, knowledge sharing, and continuous improvement.

Participate in the Engineering Services on-call rotation, including scheduled coverage outside normal business hours as required.

Qualifications

3–5 years of professional software engineering experience, preferably developing and supporting SaaS or distributed applications.

Strong hands-on experience with Java.

Hands-on experience with JavaScript and modern application development.

Hands-on AWS experience and understanding of cloud-based application architectures.

Strong production troubleshooting and root-cause analysis skills.

Experience with REST APIs, SQL/databases, microservices, messaging systems, and distributed applications.

Experience using AI-assisted engineering tools for development, debugging, testing, and technical analysis, with the ability to validate generated solutions.

Experience with Git, CI/CD, automated testing, and code reviews.

Strong communication, collaboration, and ownership.

Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

Scala experience is preferred but not required; the ability and willingness to learn Scala is expected.

Experience with observability tools, containers, or AWS services used in production environments.

Familiarity with Jira and Confluence.

US Pay Range

$132,435.17—$161,842.86 USD