Note: The job is a remote job and is open to candidates in USA. RTX is an aerospace and defense company seeking a Lead Platform Engineer to advance its data capabilities. The role leads the integration and production deployment of AI/ML software, APIs, SDKs, automation, and cloud engineering solutions while mentoring engineering team members.
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
Skills
- U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract
- * 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
- * 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
- Healthcare, wellness, retirement and work/life benefits
- Career development and recognition programs
- Parental (including paternal) leave
- Flexible work schedules
- Achievement awards
- Educational assistance
- Child/adult backup care
- Medical, dental, vision, 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, depending on the level of the position and whether or not it is covered by a collective-bargaining agreement
- Remote work arrangement
Company Overview