Boeing

Software Engineer

• Oversee, develop, coordinate, integrate, analyze, and maintain integrated plans and schedules for highly complex technology enabled projects
• Own and lead the global program offerings for Engineering Technical Services and Support
• Engage with cross-functional teams and stakeholders across the Distribution Services business
• Represent the business unit to define business requirements and business cases
• Define initiatives to improve data availability and visualization
• Coordinate with business and technology teams, integrating system and data requirements
• Analyze and configure business and technical processes to enable process improvements
• Develop and use collaborative relationships within and outside the organization
• Communicate complex concepts and themes to non-technical audiences
• Achieve desired outcomes on projects, on-time and within budget

Senior Manager, Digital Portfolio Solutions – Engineering Services

Compliance

• Lead process design and build activities for securing SOX systems and collecting evidence of the controls
• Train team members to effectively conduct peer reviews, evidence collection and how to pass an audit
• Conduct mock audits in alignment with internal and external auditor expectations for both design effectiveness and operational effectiveness
• Manage findings to ensure correctness in assignee, gap identified, severity level with internal and external audit teams
• Collaborate with infrastructure product teams to understand their processes, capabilities and opportunities for automation
• Create and maintain broad communications and key metrics for multiple audiences
• Communicate effectively across all levels of leadership and engaging stakeholders

Senior Compute Compliance Architect

Security Engineer

• Performs security analysis of operational and development environments, threats, vulnerabilities and internal interfaces
• Leads and implements the Assessment and Authorization (A&A) processes under the Risk Management Framework (RMF)
• Facilitates development of Memorandums of Understanding (MOU), Interconnection Security Agreements (ISA), and Risk Acknowledgement Letters (RAL)
• Oversees configuration management of assigned systems; auditing systems to ensure security posture integrity
• Leads staff with assessments and test/analysis data to document state of compliance
• Conducts risk assessments and investigations, executes appropriate risk mitigations, and oversees incident response activities

Cybersecurity, Information System Security Manager (ISSM)

Business Intelligence Developer

• Design reusable BI information models, views, dashboards, metrics and reports that meet business needs across supply chain and related functions
• Translate business requirements into technical designs, user stories and acceptance criteria; validate delivered solutions with stakeholders
• Build, optimize and maintain SQL (Redshift/Oracle/Teradata/SQL Server) queries, Extract Transfer Load (ETL)/data wrangling pipelines and data transformations for reliable reporting
• Produce analytics deliverables (ad-hoc analysis, trend reports, root-cause investigations) to support decision-making
• Prototype and evaluate GenAI/LLM use cases to augment BI workflows (e.g., natural-language querying, automated data summarization, intelligent insights generation, prompt templates for analysts)
• Apply prompt engineering best practices: design, test, and optimize prompts and chains for consistent, accurate outputs; document prompt libraries and guardrails
• Integrate LLM/GenAI capabilities with BI tools or data platforms where appropriate (e.g., Application Programming Interfaces (APIs), wrappers, microservices) in collaboration with engineers and data scientists
• Ensure responsible use of GenAI: implement data privacy, Personally Identifiable Information (PII) handling, output validation, and model risk mitigation practices
• Collaborate with data scientists, Machine Learning (ML) engineers, and platform teams on productionizing Artificial Intelligence (AI)-enabled features and understanding model performance and limitations
• Develop and deliver stakeholder-facing demos, playbooks, and training materials that show how GenAI augments BI workflows
• Work with cloud data platforms (Google Cloud Platform (GCP) and Amazon Web Services (AWS)) to design, develop, and maintain data products — including data ingestion, storage, transformation, and serving layers
• Build and validate data products on cloud platforms (BigQuery, Cloud Storage, Dataflow, AWS S3, Redshift, Glue, etc.) and collaborate with platform/engineering teams on deploying them to production
• Participate in agile delivery: sprint planning, estimation, development, testing and release activities
• Identify opportunities to improve automation, reduce analyst toil, and scale analysis via templated assets and self-service

Mid-Level Business Intelligence Analyst

Platform Engineer

• Build, test, and deploy end-to-end AI & Analytics applications, connecting AI/ML model inferences to functional user interfaces
• Bridge standard web architecture with machine learning operations (MLOps), handling model deployment and data pipelines
• Work with development teams and product managers to create software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through visually appealing, responsive designs
• Develop, manage, and optimize databases
• Write and consume effective REST Application Programming Interfaces (APIs), troubleshoot, debug, and upgrade software
• Investigate technical, operational, and reliability issues during development and implementation
• Build and integrate software tools that improve system reliability, observability, and scalability
• Support set up of development and production environments, including deployment-related activities
• Develop best practices and methodologies for provisioning, configuration management, monitoring, and troubleshooting
• Collaborate with delivery teams to define and track service level indicators, service level objectives, SLAs, and error budgets
• Create and recommend process improvements that increase stability, efficiency, and operational readiness
• Contribute to the ongoing improvement of operational processes for automated agent workflows

Artificial Intelligence Platform Developer – Mid-Level/Senior

• Software Development: This includes designing, coding, debugging, and testing software applications.
• Collaborating with the project stakeholders and scrum teams: Working closely with teams to understand requirements, contribute to discussions, present and demo any assigned work and provide input on technical solutions.
• Learning and applying programming languages and technologies: This may involve learning new programming languages, understanding existing codebases, and adapting to different development environments.
• Keeping up with industry trends and best practices: This may involve self-learning, attending training sessions, or participating in knowledge-sharing activities within the team.
• Adhering to project timelines and deliverables: Management of assigned tasks and delivery of work within the agreed-upon timelines, including, communicating any challenges or roadblocks to your supervisor and seeking guidance when needed.

Software Development Intern

Pricing Analyst

• Participate in evaluation of requests for proposal
• Lead development of complex labor estimates with complex technical requirements
• Lead development and application of pricing strategies using innovative computational techniques
• Lead business proposals, evaluate and make recommendations based on complex requests for proposals and substantiate estimates and pricing
• Lead analyses in support of pricing and estimating (risk, financial, competitive, etc.)
• Coordinate and collaborate with proposal teams and cost element functional owners to develop appropriate basis of estimate and substantiation of costs estimates, proposals and other related business decision data
• Identify, assess and implement changes to processes, tools and techniques to simplify estimating and pricing methodologies and improve cost estimating accuracy

Estimating and Pricing Specialist – Team Lead

Systems Engineer

• Lead a small team that manages program-wide Systems Engineering and Integration.
• Task, train, and motivate team members, run program-level meetings such as the Risks, Issues, and Opportunities (RIO) board.
• Ensure enterprise and system requirements are met across the GPS IIF program.
• Work with GPS Program Manager, GPS Chief Engineer, and customers.
• Ensure team manages GPS IIF requirements documents, engineering specifications, and the Orbital Operations Handbook.
• Ensure team coordinates with Government and external companies for the existing and new GPS control segments.
• Develop and maintain program and IPT-level processes.
• Participate in special studies, potentially lead projects or studies, and support program baseline, configuration, and data management.
• Identify staff needed to execute the IPT’s statement of work and work with Program Management to ensure managers initiate and support hiring, onboarding and training.

Systems Engineering Lead

Program Manager

• Lead program management activities for large-scale BGS Supply Chain AI programs
• Establish and maintain the program execution operating model, including governance, cadence, decision forums, and escalation paths
• Manage integrated program plans, milestones, dependencies, risks, issues, and action items across multiple workstreams
• Own the preparation of status reporting, executive summaries, steering committee materials, and leadership-ready communications
• Consolidate complex program information into clear, concise, and actionable updates
• Support agile operating rhythm across product and delivery teams
• Coach and support product managers in program execution discipline
• Coordinate across multiple teams to ensure program visibility
• Track program health, identify blockers, and drive accountability for actions
• Lead capacity optimization across AI programs and workstreams
• Develop and maintain reporting on team capacity, utilization, delivery throughput, and forecasted delivery risk
• Support value tracking, Key Performance Indicators (KPI) reporting, and milestone-based progress reporting
• Partner with senior leaders to ensure program and capacity information is structured for decision-making

Senior Supply Chain AI Program Manager

Solutions Engineer

• Lead the architecture and design of end-to-end AI solutions supporting BGS Supply Chain business needs
• Define solution architectures that integrate on-prem and cloud-based data, analytics, and AI capabilities into scalable enterprise patterns
• Translate business requirements into technical designs for AI-enabled supply chain solutions
• Architect the full solution lifecycle from raw data and governed data products through data modeling, ontology, AI model development, orchestration, and visualization
• Design solutions using ML, Generative AI, Agentic AI, deep learning, optimization, and other advanced AI techniques as appropriate to the use case
• Partner with supply chain business stakeholders to identify high-value use cases and shape feasible technical solutions
• Collaborate with data engineers, data scientists, software engineers, platform architects, and product teams to ensure end-to-end solution integrity
• Define solution patterns for data ingestion, transformation, semantic modeling, ontology design, AI model integration, workflow orchestration, and user experience delivery
• Ensure solutions are scalable, maintainable, secure, and aligned to Boeing architecture, cyber, governance, and compliance standards
• Evaluate technical tradeoffs across cloud, hybrid, and on-prem environments and recommend the best-fit architecture for business needs
• Provide architectural guidance for AI product teams throughout design, build, testing, deployment, monitoring, and enhancement phases
• Support the creation of reusable frameworks, reference architectures, and patterns for supply chain AI solutions
• Work with front-end and product teams to ensure insights and AI outputs are delivered through intuitive interfaces, dashboards, copilots, or decision-support tools
• Help define ontology and semantic layer approaches that improve usability, searchability, interoperability, and AI consumption of supply chain data
• Participate in technical governance, design reviews, and architecture decision forums
• Support production readiness, performance tuning, observability, and operational support for deployed AI solutions
• Stay current on emerging AI technologies and recommend innovations that can improve supply chain performance and business value

Senior Artificial Intelligence Solutions Architect

Affiliate Manager

• Serves as a key liaison between the business or function, to understand priorities and needs, developing strategies to ensure business objectives are met
• Collaborates directly with business or function to understand problems or initiatives and represents the business or function within Boeing IT to engage the right resources, explores alternatives and help deploy the right solution with first time quality
• Develops and executes communication plans, including status to leadership and to business or function stakeholders
• Identifies risks and impacts and coordinates with business or function to approve mitigation plans or changes to commitments
• Provides input and lessons learned on IT processes, procedures, tools and techniques, and ensures alignment to quality management solutions for the business or function
• Coordinate and influence cross-functional teams, including project managers, developers, analysts, and vendors to deliver business outcomes

IT Business Partner

Cloud Engineer

• Design, implement, and maintain Microsoft Azure-based infrastructure solutions including networking, compute, storage, identity integration, and supporting services
• Develop and maintain Infrastructure as Code (IaC) and configuration automation solutions using Terraform, Ansible, PowerShell, and Bash
• Implement cloud policies to enforce security, ensure regulatory compliance, and manage user access
• Build repeatable landing zones and cloud infrastructure patterns that support multiple application teams and enterprise services
• Support environment standup, expansion, patching, upgrades, backup, and disaster recovery planning
• Implement monitoring, logging, and alerting capabilities to maintain infrastructure health and reliability
• Troubleshoot and resolve infrastructure issues related to connectivity, performance, availability, and integration
• Support cloud migration planning by preparing foundational infrastructure services and shared dependencies
• Collaborate with architecture, networking, platform, and application teams to align infrastructure designs with program requirements
• Document infrastructure standards, operational procedures, and support models
• Provide technical mentorship and guidance to junior engineers
• Support operational readiness, change management, and configuration control processes
• Participate in capacity planning and high availability design efforts

Cloud Infrastructure Administrator – Mid-Level, Senior, Lead

Administration

• Design, implement, and maintain cloud platform services supporting Kubernetes, containers, ingress, storage integration, secrets management, and service connectivity
• Build and sustain reusable deployment patterns for COTS, OSS, and customized applications
• Develop and maintain automation for platform provisioning, upgrades, patching, and lifecycle support
• Manage cluster lifecycle activities including upgrades, node management, add-on management, observability integration, resilience improvements, and capacity planning
• Support Azure Kubernetes Service, OpenShift, Tanzu, or similar shared platform services
• Troubleshoot and resolve platform hosting, connectivity, and integration issues
• Support monitoring, logging, alerting, and platform health management
• Improve deployment consistency using Helm-based configuration, Git-based workflows, Infrastructure as Code
• Establish and maintain platform documentation, standards, and support procedures
• Evaluate and implement platform capabilities that improve scalability and ease of operations
• Provide mentorship and technical guidance to junior engineers

Cloud Platform Administrator, Mid-Level, Senior, Lead

Analyst

• Actively leads or supports hardware/software integration activities
• Coordinate efforts between multiple engineering disciplines (e.g., software, hardware, requirements, testing, etc.)
• Develop software load images for installation onto training devices
• Network system integration
• Technical troubleshooting of network systems including PCs, switches, and routers
• Designing and troubleshooting Operating System (Windows, Redhat, Server, other) configurations
• Operating System administration and domain integration
• Collaborate on approaches to implement cybersecurity compliance
• Perform issue resolution, root cause analysis, and implementation of corrective actions for hardware and/or software
• Define Requirements and Verification for networking infrastructure
• Writing cold start procedures for network systems, to include PC Basic Input/Output System (BIOS) definition and Setup settings
• Support formal testing events
• Buildup, integration and test of training devices for final delivery at customer’s site

Systems Integration Analyst – Experienced or Lead

• Support engineering decisions across product design, production system design, manufacturing, maintenance, and human safety by developing immersive Virtual Reality (VR) scenes and scenarios
• Create and deliver concise report-out materials for engineering and leadership
• Act as the focal point for advanced visualization lab(s), maintaining the hardware and software required to run effective VR reviews
• Analyze complex engineering designs, supplier specifications, and engine manufacturer design data to identify and formulate maintenance, repair, and tooling support requirements
• Develop configuration-specific procedures and instructions accordingly
• Drive product designs and process improvements to ensure safety, supportability and maintainability
• Create comprehensive system theory descriptions to ensure a common understanding of systems and components
• Conduct engineering analyses to validate the accuracy of maintenance data
• Collaborate with customers to address inquiries, develop technical solutions, and assess maintenance operations
• Innovate new procedures and techniques to enhance product maintenance capabilities