SAIC is seeking a Senior Software Engineer/Architect to join the Joint Range Extension (JRE) software development team. In this role, you will lead the architectural vision and strategy for JRE, ensuring the development of high-quality, scalable software solutions that meet both functional and non-functional requirements.
Responsibilities:
- Define and own the architectural vision, strategy, and roadmap for JRE
- Lead the team in making high-level design decisions and technology selections, documenting trade-offs and rationale
- Produce and maintain architecture artifacts, including an architecture description, component design documentation, architecture diagrams (C4, DoDAF, UML), and architecture decision records (ADRs)
- Translate business requirements and product and program goals into technical designs that meet both functional and non-functional criteria
- Develop proofs of concept and prototypes to validate architectural choices
- Evolve the architectural principles, patterns, and standards used for JRE
- Lead architecture and pull-request reviews, providing constructive feedback on designs and significant implementations
- Ensure JRE meets key quality attributes such as scalability, reliability, performance, security, maintainability, and operability
- Manage technical debt and inflation, strategically incorporating the remediation of legacy debt into the product roadmap
- Partner with product management to align technical strategy with business goals
- Collaborate closely with industry partners to understand their requirements and align with JRE modernization goals
- Mentor and coach engineers on design patterns, systems thinking, and architectural reasoning
- Communicate complex technical concepts clearly to executives, peers, and non-technical stakeholders
- Contribute to interviewing and hiring decisions for engineering roles
- Evaluate emerging technologies, frameworks, and tools; make recommendations that balance risk, cost, and time-to-value
- Guide large-scale modernization initiatives
- Support incident reviews and post-mortems where root causes touch architectural decisions
Requirements:
- Bachelor's or higher degree in computer science, software engineering, or a related field with 14+ years of professional software engineering experience, including 5+ years in an architect or lead engineering capacity
- Demonstrated experience designing and delivering large-scale mission-critical systems
- Experience effectively leading the design and architecture of multi-million-line codebases
- Experience leading significant architectural evolutions (e.g., monolith decomposition, major re-platforming)
- Fluency with domain-driven design; objection-oriented, functional, and enterprise systems design patterns; software design principles; and refactoring techniques
- Proficiency with modern distributed systems patterns (APIs, messaging/event-driven, service boundaries, data consistency trade-offs)
- Experience with modern deployment practices for cloud and edge systems
- Security-by-design mindset and working knowledge of common threat models
- Knowledge of test automation principles and best practices
- Proven ability to lead and work collaboratively, and influence at all levels regardless of direct authority
- Growth mindset and a track record of elevating other engineers
- Demonstrated ability to gain the trust of others and elicit their highest level of contribution
- Excellent written and verbal communication skills
- U.S. citizenship and eligibility to obtain a Secret clearance
- Experience in the tactical data link domain or comparable mission-critical, high-reliability systems
- Knowledge of MIL-STDs such as 6016, 6017, 3011, 6020, 6040, and 2525; tactical terminals and radios such as MIDS JTRS, STT, AN/ARC, and AN/PRC; GPS and inertial navigation systems protocols such as NMEA 0183 and GPS-153; avionics standards such as ARINC 429 and 661; and industry security standards such as DISA STIGs, and NIST SP 800-171 and 800-207
- Experience with network programming, networking protocols, and the low-level processing of binary data
- Deep experience with the Java platform; including fluency with Java, and familiarity with JVM. languages such as Kotlin or Scala
- Experience with native development with C and C++
- Proven track record of deploying AI/ML solutions in production-grade, scalable systems
- Active contributions to open source, technical writing, or speaking