Manager, Platform Integrations & Engineering

Lifelancer Ltd; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Lifelancer Ltd. is seeking a Manager of Platform Integrations & Engineering to lead a global team of integration and platform engineers. You will set standards for quality, ownership, and operational excellence, and drive architecture-aligned, cloud-native integration patterns.

You will oversee a broad tech stack including Talend, MuleSoft, Oracle SOA, SQL, Python, Snowflake, Databricks, and Tidal, while advancing DevOps and automated testing across enterprise data platforms.

Qualifications

• Bachelor’s degree in CS/Engineering or related field with 8+ years of experience in technology or integration engineering.
• Experience designing, developing, and supporting enterprise integrations in complex production environments.
• Experience with Talend, MuleSoft/Anypoint, Oracle SOA, SQL, Python, Snowflake, Databricks, and Tidal or similar orchestration tech.

Responsibilities

• Lead a global team of integration and platform engineers, setting expectations for quality, ownership, delivery, and operational excellence.
• Provide technical oversight across key technologies and ensure scalable, secure integrations.
• Partner with architecture and solution teams to translate direction into repeatable engineering patterns.
• Establish standards for API, file-based, database, event-driven, and cloud integrations with documentation and lifecycle management.
• Promote reuse, minimize bespoke development, and modernize legacy integrations toward API-first, cloud-native patterns.
• Ensure integrations meet scalability, resilience, security, and performance requirements.
• Support enterprise apps, clinical/vendor platforms, APIs, and data movement across Snowflake, Databricks, and cloud storage.
• Advance CI/CD and DevOps maturity and automate testing, code quality checks, and release validation.

Skills

Leadership

Mentoring

Stakeholder management

DevOps culture

Education

Bachelor's degree in Computer Science/Engineering/IT

Tools

Talend

MuleSoft

Oracle SOA

SQL

Python

Snowflake

Databricks

Tidal

Git

CI/CD pipelines

Job description

Job Title: Manager, Platform Integrations & Engineering Job Location: Remote, North Carolina, USA Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Manager, Platform Integrations & Engineering The opportunity

What you'll do

• Lead, mentor, and grow a global team of integration and platform engineers responsible for development and production support; set clear 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 turn enterprise architecture direction into repeatable engineering patterns.
• Set and enforce standards for API, file-based, database, event-driven, batch, and cloud integrations, including SOPs, reusable patterns, naming and coding conventions, technical documentation, and lifecycle management.
• Promote configuration and reuse first, with clear criteria for when teams should configure, reuse, extend, custom-build, retain, modernize, consolidate, or replace a solution.
• Minimize bespoke development and modernize legacy integrations toward API-first and cloud-native patterns.
• Ensure integrations meet requirements for scalability, resilience, security, maintainability, performance, and operational support .
• Support enterprise applications, clinical and vendor platforms, APIs, cloud data platforms, external partners, and data movement into and across Snowflake, Databricks, and cloud object storage.
• Advance CI/CD and DevOps maturity .
• Establish 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 for code, documentation, test cases, troubleshooting, and repeatable work, with governance and human oversight.
• Ensure practices comply with applicable SDLC, change-control, validation, cybersecurity, privacy, and regulatory requirements.
• Maintain segregation of duties, traceability, deployment approval, and production access controls.
• Keep integration assets documented with clear 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.
• Keep production integration monitored, observable, supportable, and resilient.
• 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, business stakeholders, and manage vendor or contractor resources to the same standards.

What you will bring

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Comparable to 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, including production-critical services and root-cause analysis and remediation. Demonstrated technical experience with several of the following: 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. Preferred experience Clinical research, life sciences, healthcare, or another highly regula