Senior Manager - Software Engineering

Boeing•St. Louis, MO

23h•Onsite

About The Position

Boeing Defense, Space and Security (BDS) is looking for an action-oriented leader to manage our Software Program as a part of the Data Analytics & Digital Integration (DA&DI) organization. This position is located in Seattle, WA or Arlington, VA or El Segundo, Ca or Ridley Park, PA or Saint Louis, MO. We are seeking a Senior Manager of Software Engineering to lead and scale end-to-end software development across a portfolio of mission-critical platforms and applications. This leader will own the full software lifecycle from strategy and architecture to development, deployment, and operations while building a high-performing engineering organization. This role requires a hands-on technical leader who can operate at both strategic and execution levels, drive engineering excellence, and deliver scalable, secure, and high-quality software systems.

Requirements

10+ years in software engineering.
3+ years in a leadership role
10+ years experience building and scaling distributed, cloud-native systems
10+ years experience in full stack software development (REACT, Springboot, Node.js, DBT, Git, etc)
5+ years experience in agile development
10+ years of professional experience do you have with C, C++, C#, Python, Java, or Ada?
Must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Nice To Haves

Experience with Palantir Foundry or similar platforms
Experience in defense, aerospace, or regulated environments
Familiarity with data platforms, AI/ML systems, and large-scale integrations
Experience managing global engineering teams
Strong background in platform engineering, DevOps, and system architecture

Responsibilities

Lead and scale high-performing engineering teams (platform, application, data, DevOps).
Ensure tight alignment between business needs and engineering execution.
Build a culture of accountability, speed, and engineering excellence.
Own hiring, org design, and performance management across global teams (U.S. and international).
Own the full SDLC across all systems.
Drive predictable, high-quality delivery across programs.
Strong focus on real, production-grade outcomes.
Own system boundaries and data ownership.
Strong focus on product-based development using modern agile practices.
Define and enforce target architecture across multiple platforms (e.g., AWS, Palantir Foundry, SAP) for data, pipelines, storage, ontology, applications, and workflows.
Build integrated, end-to-end user experiences, eliminate multi-app sprawl.
Standardize APIs and service contracts, event-driven/data integration patterns, shared services and reusable components.
Build a developer platform that enables rapid, consistent delivery: CI/CD pipelines, environment standardization (dev/test/prod), Infrastructure as Code, and Global DevSecOps
Enable seamless development across AWS-native services, on-prem systems, and Palantir Foundry ecosystem.
Improve developer productivity and cycle time through tooling and automation.
Establish non-negotiable standards for code quality, test coverage, and release stability.
Implement SRE practices with SLAs/SLOs, monitoring, logging, tracing, and incident response and postmortems.
Ensure systems are production-grade, not prototypes.
Enforce clear data ownership and access boundaries.
Ensure compliance with ITAR / export control and enterprise security standards.
Implement secure coding practices, role-based access control, and full auditability.
Prevent uncontrolled vendor access to core systems.
Define and enforce end-to-end operational workflows (ConOps) from from data ingestion to analytics to decision to action.
Ensure systems support real operational usage, not just technical capability: Real-time/near-real-time responsiveness where needed and role-based, intuitive interfaces.
Build “command center” experiences as unified systems – not collections of tools.
Define and track operational metrics such as time-to-decision, workflow completion, and user adoption.
Establish feedback loops from users to engineering and development.
Ensure tight integration between data pipelines (AWS lakehouse), ontologies (Palantir Foundry) and applications.
Support AI/GenAI use cases with reliable data access and scalable pipelines.
Standardize how data, logic, and models interact across systems.
Implement lightweight but strict governance for architecture reviews, code standards, release controls.
Drive transparency via metrics such as delivery timelines, system performance, and engineering productivity.
Own escalation and risk management across programs.
Manage and optimize global development teams.
Define a clear global delivery model to handle ITAR-sensitive systems.
Ensure consistent standards across regions, clear ownership boundaries and efficient collaboration across time zones.