Lead Platform Engineer

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

About the role

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. Join us and help shape the future of aerospace and defense.

Responsibilities

• Collaborate with technical leadership, product managers, program/project managers, and business stakeholders to support the team as we bring advanced data capabilities to RTX.
• Be the system integrator for APIs, SDKs, and other automation activities: lead multi-disciplinary efforts to bring advanced AI/ML capabilities to RTX through production software and cloud engineering, including generative AI, AIOps, GenOps, MLOps, and ML-augmented engineering. This includes ensuring that capabilities are designed, implemented, maintained, observed, and supported from end-to-end.
• Maintain both high level and low level views of technical systems, and coordinate with teams and subject matter experts from other disciplines to realize successful realization.
• Design, write, test, and deploy production quality software capabilities that are maintainable, automated (CI/CD), scalable, observable, organized, and readable.
• Ensure best practices are maintained, including quality and CI/CD automation.
• Advise technical support and building of user documentation.
• Mentor early and mid career team members, supporting their ascension to senior and lead roles.

What You Will Learn

• How you work best, how to reach your potential, and how you can overcome, persevere, and sustain.
• Multi-disciplinary technical leadership.
• How to balance short term tactical needs with long term strategic goals.

Requirements

• Typically requires a University Degree or equivalent experience and minimum 12 years prior relevant experience, or an Advanced Degree in a related field and minimum 10 years experience.
• 5+ years of experience with data science and machine learning.
• 5+ years of experience with the Software Development Life Cycle and software application / product development, including Python and the Python scientific stack.

Qualifications We Prefer

• A flexible and patient mindset, interested in working on a variety of multi-disciplinary challenges with varying stakeholders, partners, domains, and toolsets.
• Relevant experience with cloud computing platforms (AWS and/or Azure).
• Organizational skills for knowledge, documentation, and data management.
• Other helpful experience: SQL, Node, REST APIs, testing libraries.
• Experience building products that use Large Language Models (LLMs) and LLM APIs.
• Technical leadership experience, such as being the engineering lead for a program, product, or large project.
• Experience as part of a multi-disciplinary team.
• Experience with cloud computing.

Benefits

• Medical, dental, vision, life insurance, short-term disability, long-term disability.
• 401(k) match.
• Flexible spending accounts.
• Flexible work schedules.
• Employee assistance program.
• Employee Scholar Program.
• Parental (including paternal) leave.
• Paid time off and holidays.
• Achievement awards.
• Educational assistance.
• Child/adult backup care.
• Annual short-term and/or long-term incentive compensation programs (payments not guaranteed and dependent on individual, business unit, and company performance).

Pay

The salary range for this role is 157,200 USD - 298,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Schedule

This position is classified as Remote: Employees who work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.