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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in full-stack development, including building production-grade applications with frontend and backend components, REST and GraphQL APIs, and integrating AI, ML, or LLM capabilities. Proficient in modern software delivery practices, including CI/CD pipelines and automated testing, while effectively collaborating in cross-functional teams.
Highest-signal resume keywords
Full-Stack DevelopmentAI/ML/LLM IntegrationCI/CD Pipeline ManagementMicroservices ArchitectureCloud-Native Software Delivery
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Production Software DevelopmentClean Code PracticesUnit TestingIntegration TestingSystem TestingEvent-Driven ArchitectureMicroservices ArchitectureAPIs DevelopmentDebuggingDeployment Support
Soft Skills
CollaborationMentoringCode ReviewReal-Time FeedbackCross-Functional Teamwork
Tools & Technologies
CI/CD ToolsContainerizationKubernetesInfrastructure as CodeObservability Platforms
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in Software EngineeringBachelor’s Degree in Electrical EngineeringBachelor’s Degree in Information Systems
Industry Keywords
Cloud EnvironmentsEnterprise SoftwareAerospaceIndustrialManufacturingTransportationRegulated EnvironmentsLegacy ModernizationDistributed SystemsIntegration-Heavy Architectures
Tech Stack
Tools & technologiesCloudDistributed SystemsGraphQLKubernetesMicroservicesSDLC
About the role
Key responsibilities & impact- Build full-stack, production-grade applications, including frontend interfaces, backend services, REST and GraphQL APIs, and enterprise integrations
- Write clean, testable, well-structured code across multiple languages and paradigms
- Review other developers’ code
- Write and integrate unit, integration, and system tests across the development process
- Design and implement scalable, maintainable event-driven and microservices architectures
- Integrate AI, ML, or LLM capabilities into client applications, including agentic workflows, RAG pipelines, AI-augmented developer tooling, and intelligent automation
- Set up and improve CI/CD pipelines, test automation, and delivery infrastructure
- Mentor and uplift developers through pairing, code review, and real-time feedback
- Keep product leadership and architects informed of technical risks, blockers, and engagement-affecting changes
- Modernize legacy systems and build new systems using appropriate greenfield and brownfield approaches
- Collaborate with Developers, Product, Design, Tech Leads, Architects, and Data Science to deliver product features and capabilities
- Support end-to-end software delivery for cloud-native digital aircraft maintenance products
Requirements
What you’ll need- 5+ years of professional software development / engineering experience delivering production software in enterprise, cloud, or product development environments
- 5+ years proven full-stack development experience building and shipping applications that include frontend user interfaces, backend services, APIs, and system integrations
- 5+ years of hands-on experience writing clean, testable, production-quality code and participating in the full SDLC, including code review, debugging, testing, and deployment support
- 3+ years of experience integrating AI, ML, or LLM capabilities into software applications, including working with model APIs, prompt orchestration, retrieval-augmented generation, or intelligent automation workflows
- 3+ years of experience building or integrating AI/ML/LLM-powered product features in production, with awareness of lifecycle management, evaluation, monitoring, and operational risks
- 5+ years of experience with modern software delivery practices, including source control, branching strategies, automated testing, CI/CD pipelines, and release management
- 5+ years of experience working in complex enterprise or cloud environments, including distributed systems, multiple teams, shared platforms, or integration-heavy architectures
- Demonstrated ability to collaborate effectively in a cross-functional team, partnering with Product, Design, Engineering, Data Science, Architecture, or Operations to deliver business outcomes
- Must be legally able to work in Canada
- Individuals must not pose a risk for safeguarding of controlled goods
- Must be eligible to handle US export-controlled data
- Preferred: experience with cloud-native architecture and delivery tooling, including containerization, Kubernetes or managed container services, infrastructure as code, and observability platforms
- Preferred: experience modernizing legacy systems or working in brownfield environments
- Preferred: experience with distributed systems, legacy modernization, multi-team dependencies, and integrated data or application ecosystems
- Preferred: experience with event-driven or microservices-based systems
- Preferred: experience with structured and unstructured data, data cleaning, feature design, validation, quality checks, or analytical workflows
- Preferred: experience in aerospace, industrial, manufacturing, transportation, or similarly complex regulated environments
- Preferred: Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering or Information Systems
- Successful candidates must satisfy the Company’s Conflict of Interest (COI) assessment process
- Employer will not sponsor applicants for employment visa status
Benefits
Comp & perks- Relocation assistance is not a negotiable benefit for this position
- This position is not contingent upon program award
- No security clearance required
