Lead and manage cloud engineering initiatives for a federal mission, ensuring secure, scalable, and compliant infrastructure and application deployments.
Compensation
The proposed salary range for this position is: $99,800 - $219,600
Responsibilities
Serve as the technical lead for an on-site cloud engineering team supporting a critical federal mission.
Implement continuous process and quality improvement measures.
Deploy and manage cloud infrastructure using Infrastructure-as-code.
Deploy, and manage containerized applications using Kubernetes.
Develop and maintain CI/CD pipelines using ArgoCD and Helm.
Requirements
Nice to have: AWS Solutions Architect certification
Apply advanced data science, machine learning, and Generative AI techniques to solve complex business problems and enable AI-powered capabilities across the enterprise.
Compensation
Base Pay Range
$85,000.00 - $150,000.00
Responsibilities
Analyze large and complex datasets using statistical, machine learning, and advanced analytical techniques to identify patterns, generate insights, and solve business problems.
Design, develop, evaluate, and optimize machine learning models using appropriate statistical and ML methodologies, including feature engineering, model validation, performance testing, and ongoing monitoring.
Develop and evaluate Generative AI solutions using foundation models, including prompt engineering, retrieval-augmented generation (RAG), embeddings, semantic search, and agentic AI techniques where appropriate.
Develop rigorous evaluation frameworks and experimentation approaches to measure model quality, accuracy, relevance, safety, and business impact.
Acquire, cleanse, transform, and integrate structured and unstructured data from multiple sources to support analytical modeling and AI solutions.
Requirements
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or equivalent
Nice to have: Master's degree in relevant quantitative discipline
Develop, maintain and support technology applications and delivery, leveraging AI, automation, and contemporary ways of working to enhance experiences and drive business outcomes.
Compensation
The expected salary range for this position is 128,627 - 136,300. This role may also be eligible for annual short-term incentive compensation.
Responsibilities
Implement integrations across a multi-cloud solution (AWS, Azure, and On-prem) spanning multiple applications and integration technologies
Actively participate in all phases of the software development lifecycle (SDLC)
Analyze, design and develop features for new and existing applications
Implement and ensure adoption of best practices (design principles, logging practices, unit, and test automation)
Support issue triaging on existing applications
Requirements
Bachelor’s degree in Computer Science, Computer Engineering or related field
Master’s degree in Computer Science, Computer Engineering or related field
Lead and own the entire accounting function across the US and UK, driving close, audit, and treasury operations while building AI‑driven workflows and system integrations.
Compensation
The expected compensation for this role is up to $170,000 annually, plus eligibility for Capstone's annual bonus pool.
Responsibilities
Own end‑to‑end month‑end close across US and UK
Manage audit and statutory compliance for both entities
Maintain general ledger integrity under US GAAP and UK requirements
Own revenue recognition, invoicing, AR and AP cycles
Seeking an experienced Quality Assurance Engineer for the Home Networking team to create reliable, stable, and high-speed network access products and smart home solutions.
Compensation
Salary range: $100,000 - 130,000
Responsibilities
Perform manual and automated testing on Wi-Fi routers, Mesh Wi-Fi, network adapters, accessories, etc.
Execute test cases and document results to ensure product functionality, reliability, and performance.
Work with senior QA engineers and R&D to analyze bugs and troubleshoot networking issues.
Participate in or assist with Local Test & Beta Test, collect user feedback, and follow up on reproducing issues.
Learn and contribute to test automation by writing simple scripts (e.g., Python).
Requirements
Bachelor’s degree in computer science, electronic engineering, or a related field
Nice to have: experience in developing and testing Wi-Fi routers
Nice to have: mesh Wi-Fi systems
Nice to have: familiarity with test automation tools
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