Lead Platform Engineer

This is a fully remote position, open to applicants in Connecticut.

📋 Description

• Collaborate with technical leadership, product managers, program/project managers, and business stakeholders to enhance advanced data capabilities at RTX.

• Integrate APIs, SDKs, and automation initiatives.

• Lead cross-functional teams to implement generative AI, AIOps, GenOps, MLOps, and ML-augmented engineering capabilities into production.

• Ensure that capabilities are designed, implemented, maintained, observed, and supported throughout their lifecycle.

• Maintain both high-level and low-level perspectives of technical systems.

• Coordinate with teams and subject matter experts across various disciplines.

• Design, write, test, and deploy maintainable, automated, scalable, observable, organized, and readable production software.

• Uphold software quality and adhere to CI/CD automation best practices.

• Provide technical support and create user documentation.

• Mentor early- and mid-career team members to advance toward senior and lead positions.

⛳️ Requirements

• A University Degree or equivalent experience with a minimum of 12 years of relevant experience, or an Advanced Degree in a related field with at least 10 years of experience.

• Over 5 years of experience in data science and machine learning.

• More than 5 years of experience with the Software Development Life Cycle and in software application/product development.

• Proficiency in Python and the Python scientific stack.

• U.S. citizenship is required; only U.S. citizens are authorized to access information under this program/contract.

• Experience with AWS and/or Azure is preferred.

• Strong organizational skills for knowledge, documentation, and data management are preferred.

• Additional relevant experience includes SQL, Node, REST APIs, and testing libraries.

• Experience in building products utilizing Large Language Models (LLMs) and LLM APIs is preferred.

• Prior technical leadership experience is preferred.

• Experience as part of a multi-disciplinary team is preferred.

🏝️ Benefits

• Healthcare, wellness, retirement, and work/life benefits.

• Parental (including paternal) leave.

• Flexible work schedules.

• Achievement awards.

• Educational assistance.

• Child/adult backup care.

• Medical, dental, and vision insurance.

• Life insurance.

• Short-term disability.

• Long-term disability.

• 401(k) match.

• Flexible spending accounts.

• Employee assistance program.

• Employee Scholar Program.

• Paid time off.

• Holidays.

• Annual short-term and/or long-term incentive compensation programs (eligibility dependent on position and collective-bargaining coverage).