TheIncLab

QA Engineer

• Independently design, execute, and maintain test cases for assigned features or components.
• Perform functional, regression, exploratory, and basic performance testing.
• Analyze requirements and acceptance criteria to identify test coverage gaps and edge cases.
• Validate fixes and confirm readiness for feature or release progression.
• Log defects with clear reproduction steps, evidence, and impact assessment.
• Collaborate with developers to triage, clarify, and resolve defects efficiently.
• Track defects through resolution and verify fixes during regression cycles.
• Communicate quality risks, testing status, and findings to the delivery team.
• Maintain and update test documentation, including test cases and regression suites.
• Support test environment setup, configuration, and test data preparation.
• Participate actively in Agile ceremonies, including stand-ups, planning, and retrospectives.
• Work closely with developers and product managers to improve testability and quality outcomes.
• Contribute suggestions for improving test efficiency, coverage, or tooling.

Quality Assurance Analyst II

• Own QA activities for assigned features, components, or releases.
• Define test scope, depth, and coverage to meet quality standards.
• Ensure functional, regression, integration, performance, and exploratory testing are completed effectively.
• Identify and communicate quality risks early.
• Serve as QA subject-matter expert for assigned projects.
• Design, develop, and maintain test cases, scripts, and test data.
• Execute manual and automated tests across frontend, backend, API, and data layers.
• Set up and maintain test environments aligned with fielded client environments.
• Review test results, assess release readiness, and ensure completion of testing cycles.
• Log, track, verify, and close defects through resolution.
• Support build packaging, validation, and release deployment.
• Perform hands-on testing and validation.
• Develop and maintain automated or semi-automated tests where appropriate.
• Contribute tests to CI/CD pipelines and maintain test reliability.
• Support configuration, API, and data validation as needed.
• Partner closely with developers, DevOps, delivery leads, and product managers.
• Collaborate with clients during testing events and defect investigations.
• Support on-site or remote testing activities as required.
• Contribute to QA process improvements, documentation, and standards.
• Identify inefficiencies in testing workflows and propose improvements.
• Support adoption of test management tools and automation practices.
• Provide mentorship to QA I and QA II team members.
• Support onboarding and training of new QA hires.
• Lead or coordinate QA activities on projects as needed.
• Travel up to 20%.

Senior Quality Assurance Analyst

Product Designer

• Collaborate daily with the product team to design unique user experiences through user flows, process flows, and wireframes.
• Build prototypes ranging from low-fidelity sketches to advanced interactive prototypes in Figma to support user research, concept validation, and interactive design.
• Develop, organize, and maintain user guides and related documentation.
• Create intuitive user interfaces that are accessible to users that have limited technical proficiency.
• Create and maintain design systems that enable the design team to work more efficiently and consistently.
• Facilitate collaborative workshops, usability testing sessions, and design reviews to gather insights and validate design decisions.
• Engage directly with end users to understand their intent, workflows, and requirements.
• Analyze user feedback and proactively identify opportunities to iterate and enhance the user experience.
• Communicate and present design concepts, insights, and product demonstrations to clients and stakeholders.
• Support the identification and troubleshooting of issues or bugs as needed.
• Partner closely with developers to design feasible features and ensure accurate implementation of design specifications.
• Complete tasks within budgeted time and collaborate with management to escalate project- or task-related concerns when necessary.

Full-stack Engineer

• Support the design and implementation of software applications that meet customer and technical requirements.
• Learn to translate customer needs into software designs for desktop, mobile, web, and cloud platforms.
• Collaborate with experienced engineers to understand and implement software features.
• Assist in evaluating and using modern technologies, tools, and frameworks such as TypeScript, React, Node.js, Electron.js, and AWS.
• Follow established coding standards, participate in code reviews, and learn best practices from experienced engineers.
• Write clean, maintainable code under the guidance of senior team members.
• Implement unit tests, integration tests, and support QA efforts for features.
• Contribute to the development of prototypes and participate in testing and debugging activities.
• Use version control tools such as Git to manage code changes and collaborate with the team.
• Document work clearly and accurately to support development and QA processes.
• Stay informed of new technologies and trends in the software development industry.

Software Engineer I

Product Manager

• Define and communicate the product vision and goals to stakeholders and team members.
• Develop and maintain the product backlog, prioritizing features based on business value and user needs.
• Collaborate with UX researchers and designers to gather user insights and translate them into actionable requirements.
• Act as the primary point of contact for stakeholders, ensuring alignment between business needs and technical capabilities.
• Facilitate sprint planning, backlog grooming, and other agile ceremonies to ensure effective team collaboration.
• Work closely with the development team to clarify requirements and address questions throughout the development process.
• Monitor and measure product performance, using data-driven insights to inform backlog prioritization.
• Communicate progress, risks, and updates to stakeholders and leadership.
• Ensure product deliverables meet quality standards and user expectations.
• Stay up to date with industry trends and best practices to inform product strategy and innovation.
• Leverage familiarity with aviation or DoD-related workflows, processes, or systems to inform product development.
• Work closely with the development team to deliver assets needed for implementation.
• Complete tasks within budgeted time and work with management to escalate any project and/or task issues.
• Be resourceful with the ability to learn and adapt quickly to project issues, changes, or updates.
• Ability to travel up to 30%.
• Other responsibilities as assigned.

Product Owner

• Contribute to the development and maintenance of software applications across desktop, mobile, web, and cloud-based platforms.
• Translate user stories and technical requirements into working code with guidance from senior engineers.
• Take ownership of assigned features or components, completing work with minimal oversight while seeking support when needed.
• Participate in team meetings, code reviews, and sprint planning activities.
• Assist in writing and maintaining code using TypeScript, React, Node.js, and related technologies.
• Write production-ready, maintainable code and contribute to project documentation to support long-term sustainability.
• Develop, execute, and maintain unit tests and contribute to integration and system testing efforts.
• Support QA initiatives by participating in test case reviews, bug triaging, and validation of software against requirements.
• Apply secure coding practices and adhere to project standards.
• Collaborate with QA and DevOps teams to validate functionality and performance of deliverables.
• Integrate software components, troubleshoot integration issues, and validate end-to-end system functionality.
• Ask thoughtful questions, actively seek feedback, and contribute ideas during sprint planning and technical discussions.
• Participate in backlog grooming, sprint planning, and retrospectives by helping break down stories and estimating tasks.
• Learn and adapt to new tools, technologies, and development methodologies.
• Adhere to company policies and procedures, and maintain alignment with company culture.

Software Engineer II

• **Your Mission, Should You Choose to Accept**
• As a Software Engineer III on our R&D team, you will work on software prototypes for prospective customers and building internal software products. The Software Engineer III is a mid-to-senior level position that requires demonstrated professional experience and technical acumen in full stack software development. The ideal candidate will be able to understand customer desires and work autonomously to build complex features and applications.
• **What will you do?**
• - Design, develop, and maintain scalable, high-performance applications using Node.js, Typescript, and C#.
• - Work on complex software features and projects with minimal supervision.
• - Make technical decisions and provide architectural input.
• - Implement and optimize RESTful APIs and microservices.
• - Work with front-end frameworks (React, Angular, or Vue) to create dynamic and responsive user interfaces.
• - Design and implement databases and database transaction layers.
• - Collaborate with UI/UX and product teams to understand customer desires and determine feasibility.
• - Document development progress through tools such as Git, Jira, and Confluence.
• - Lead code reviews and ensures high coding standards.
• - Guide junior engineers on best practices and implementation patterns.
• - Stay up to date with emerging technologies, frameworks, and best practices in full-stack development.
• - Ability to travel up to 20%.

Software Engineer III

Artificial Intelligence

• **Your Mission, Should You Choose to Accept**
• As an AI Development Lead, you will work cross-functionally with product, engineering, and business leaders to translate cutting-edge AI research into scalable, reliable, and mission-impacting software.
• **Drive Technical Strategy & Execution****Lead architecture, design, and delivery of AI/ML systems, including LLMs, RAG workflows, agents, and foundation models from prototyping to production.
• **Lead End-to-End AI Lifecycle****Oversee model development including data preparation, training/optimization, evaluation/validation, deployment, monitoring, and iteration. Ensure systems adhere to robustness, scalability, observability, and ethical AI standards.
• **Collaborate Cross-Functionally****Partner with product managers, data engineers, UX/design, and business stakeholders to define requirements, set priorities, and deliver impactful AI solutions aligned to business needs.
• **Establish Best Practices****Champion CI/CD and MLOps practices, including model versioning, automated pipelines, performance monitoring, and reproducibility.
• **Mentorship & Leadership****Mentor engineers and scientists, fostering high engineering standards, technical growth, innovation, and accountability.
• **Research & Innovation Impact****Stay ahead of industry advancements in generative AI, foundational model tech, self-supervised learning, optimization techniques, RLHF, and robustness/interpretability. Apply research insights to product enhancements and novel solutions.

AI Development Lead

Systems Engineer

• Design and implement system architectures spanning cloud infrastructure, platforms, and applications.
• Translate mission, security, and operational requirements into practical technical designs.
• Develop and maintain reference architectures, design patterns, and system blueprints.
• Evaluate architectural tradeoffs involving scalability, reliability, security, and cost.
• Support architecture reviews and guide teams toward sustainable system designs.
• Build and operate cloud-native systems using infrastructure-as-code and automation.
• Develop prototypes and proofs of concept to validate architectural approaches.
• Contribute directly to complex implementations when systems cross team or domain boundaries.
• Troubleshoot and resolve high-impact production and integration issues.
• Support database and platform-level concerns in partnership with cloud and data engineers.
• Collaborate with Cloud Engineering and Build Platform teams to define secure, scalable platforms.
• Help establish guardrails, golden paths, and secure-by-default patterns.
• Integrate security, compliance, and observability requirements into system designs.
• Partner with ISSOs to translate policy and RMF controls into implementable solutions.
• Serve as a technical mentor and force multiplier for engineers across teams.
• Influence technical roadmaps and platform evolution.
• Participate in building the long-term architecture and platform function, with growth toward Principal-level scope as the team expands.

Staff Systems Engineer

Machine Learning Engineer

• **Your Mission, Should You Choose to Accept**
• As a Machine Learning Engineer, you will join our Research & Product Innovation Department and team.
• **What will you do?**
• - Assist in researching and evaluating machine learning approaches under guidance
• - Supervised, unsupervised, and learning
• - Introductory reinforcement learning concepts
• - Neural networks and classical ML techniques such as decision trees and ensemble methods
• - Transformer-based models and Retrieval-Augmented Generation (RAG) systems
• - Implement and train machine learning models using frameworks such as PyTorch, TensorFlow, or equivalent
• - Support the formulation of ML-based solutions to optimization and decision-making problems
• - Pathfinding and routing
• - Basic combinatorial or constraint-based optimization
• - Contribute to data pipelines for ML systems
• - Data validation and quality checks
• - Feature engineering and preprocessing
• - Applying data augmentation techniques as directed
• - Train, tune, evaluate models, identifying issues such as overfitting or underperformance
• - Apply evaluation metrics to assess model performance and make interactive improvements with guidance
• - For transformer-based systems: Assist with managing context windows and token budgets
• - Implement chunking and retrieval strategies as directed
• - Integrate trained models into existing systems with support from senior engineers
• - Document experiments, results, and implementation details using tools such as Git, Jira, and Confluence
• - Learn and follow best practices for ML experimentation, reproducibility, and software development
• - Stay curious and engaged with emerging machine learning techniques and tools