
10,000+ employees
Founded 1956
🏥 Healthcare
📦 Logistics
🏭 Manufacturing
Healthcare • Logistics • Manufacturing
Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.
🔥 0 minutes ago
🌲 North Carolina – Remote
💵 $105k - $150k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🖥 Software Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1956
🏥 Healthcare
📦 Logistics
🏭 Manufacturing
Healthcare • Logistics • Manufacturing
Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.
• Lead, mentor, and grow a global team of integration and platform engineers responsible for development and production support • Set expectations for quality, ownership, delivery, and operational excellence • Provide technical oversight across SQL, Python, Talend, MuleSoft, Oracle SOA, Tidal, Snowflake, and Databricks • Partner with Platform Architecture and solution architects to establish repeatable engineering patterns • Set and enforce standards for API, file-based, database, event-driven, batch, and cloud integrations • Promote configuration and reuse, minimize bespoke development, and modernize legacy integrations toward API-first and cloud-native patterns • Ensure integrations meet scalability, resilience, security, maintainability, performance, and operational-support requirements • Support enterprise applications, clinical and vendor platforms, APIs, cloud data platforms, external partners, and data movement across Snowflake, Databricks, and cloud object storage • Advance CI/CD and DevOps maturity, including source control, branching, pull requests, peer reviews, release management, and automated testing • Build reusable unit and regression testing frameworks for standard integration patterns • Automate build validation, code quality, static analysis, vulnerability and secrets scanning, deployment gates, and release validation • Use AI-assisted development and testing where appropriate with governance and human oversight • Ensure compliance with SDLC, change-control, validation, cybersecurity, privacy, and regulatory requirements • Maintain segregation of duties, traceability, deployment approval, and production access controls • Document integration assets, ownership, dependencies, support procedures, and lifecycle plans • Partner with Run-the-Engine and support teams on escalation paths, knowledge transfer, support documentation, and engineering ownership • Establish proactive logging, alerting, dependency management, and automated recovery where feasible • Drive root-cause analysis and permanent fixes for recurring failures • Track availability, failures, incident volume, mean time to detect and resolve, deployment quality, defect leakage, technical debt, SLA performance, development cycle time, quality, automation, productivity, integration health, capacity, and operational risk • Balance project delivery, modernization, technical debt, production support, and strategic priorities; allocate resources accordingly • Partner with Product, Architecture, Data, Quality, Cybersecurity, Infrastructure, and business stakeholders • Manage vendor or contractor resources to the same standards
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field • 8+ years of progressive technology or integration engineering experience, including significant experience leading technical engineering teams • Strong experience designing, developing, and supporting enterprise integrations in complex production environments • Experience with production-critical services, root-cause analysis, and remediation • Technical experience with several of: Talend; MuleSoft / Anypoint Platform; Oracle SOA; SQL; Python; Snowflake; Databricks; and Tidal or comparable enterprise scheduling/orchestration technology • Strong understanding of REST APIs, web services, file-based and database integrations, batch processing, middleware, enterprise integration patterns, and cloud data and integration architectures • Experience with Git-based source control, CI/CD pipelines, automated testing, code review, and modern DevOps practices • Able to communicate, receive, and understand information and ideas with diverse groups of people • Able to work upright and stationary for typical working hours • Ability to use and learn standard office equipment and technology with proficiency • Able to perform successfully under pressure while prioritizing and handling multiple projects or activities • Must be legally authorized to work in the United States without sponsorship • Must be able to pass a comprehensive background check, including a drug screening • Preferred: clinical research, life sciences, healthcare, or another highly regulated industry experience • Preferred: GxP, Computer System Validation (CSV), regulated SDLC, change-control, and auditability experience • Preferred: experience modernizing legacy integration estates and moving teams toward API-first, reusable, cloud-native patterns • Preferred: automated software-quality and security controls in CI/CD pipelines • Preferred: data integration for enterprise data platforms and lakehouse architectures • Preferred: AI-assisted engineering in a controlled enterprise development environment
• Variable annual bonus based on company, team, and/or individual performance results • As-needed travel (0-20%) • Remote work arrangement • Healthy and harmonious workplace environment • Relocation assistance is NOT provided
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