Github Remote Jobs Repository Jobs in Usa

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• Design and build internal tools and automation-including API linting frameworks, OpenAPI specification validators, code?generation utilities, and workflow automation-to improve consistency, quality, and efficiency across the API lifecycle.
  
• Ensure developer experience is at the center of all software created, building intuitive, reliable, and friction?reducing tools that empower API producers and consumers and simplify their workflows.
  
• Collaborate, coordinate, and align with technical stakeholders such as architecture, platform engineering, security, and API governance teams to ensure tooling meets enterprise needs and integrates seamlessly with broader technical ecosystems.
  
• Apply industry best practices to deliver secure, scalable, and maintainable solutions that align with clients engineering, security, and compliance standards.
  
• Drive development activities from design through delivery, ensuring tools and services are released on time and effectively support both API producers and consumers.
  
• Champion code quality, implementing comprehensive unit testing, functional testing, and automated validation to ensure highly reliable solutions and fast feedback loops.
  
• Demonstrate engineering excellence, consistently applying high?quality engineering practices-including clean code principles, strong testing strategies (unit, integration, functional), CI/CD pipeline integration, versioning discipline, and reliable automated deployment strategies-to ensure tooling is robust, maintainable, and production?ready.
  
• Ensure all software created adheres to strong security principles, including secure coding practices, automated security scanning, vulnerability mitigation, and alignment with enterprise security standards-ensuring tooling is safe by design, safe by default, and safe in production.
  
• Support the tech lead in evaluating and shaping technical decisions, contributing insights and execution capabilities related to tooling, automation, and developer?experience improvements.
  

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• Programming & Scripting: Java | Python | JavaScript | TypeScript, Bash / Shell Scripting
  
• API Design & Management: RESTful APIs, OpenAPI / Swagger (Specification, Validation), API Linting Frameworks, API Governance & Standards Enforcement, API Versioning Strategies
  
• Automation & Tooling: Code Generation Utilities, Workflow Automation Tools, Internal Developer Tooling, CLI Tools
  
• Testing & Quality Engineering: Unit Testing | Integration Testing | Functional Testing, Automated Validation Frameworks, Test Automation Tools, Code Quality & Static Analysis Tools
  
• CI/CD & DevOps: CI/CD Pipelines (GitHub Actions, GitLab CI, Jenkins), Automated Build & Deployment Pipelines, Artifact Repositories, Infrastructure Automation
  
• Cloud & Platforms: Cloud Platforms (AWS / Azure / GCP), Containerization (Docker), Kubernetes (optional / platform-dependent)
  
• Security & Compliance: Secure Coding Practices, Automated Security Scanning (SAST / DAST), Vulnerability Management Tools, Dependency Scanning, Compliance & Enterprise Security Standards
  
• Developer Experience (DX): Developer Tooling & Enablement Platforms, Documentation Automation, API Consumer & Producer Enablement Tools
  
• Collaboration & Version Control: Git | GitHub | GitLab, Agile / Scrum Methodologies, Issue & Work Tracking Tools (Jira, similar)
  

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems in air and space that impact people’s lives around the world today, and for generations to come. Our work preserves freedom, democracy, and advances human discovery and our understanding of the universe. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future and have a lot of fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they’re making history.

Northrop Grumman has an opening for a Principal or Senior Principal DevOps Engineer to join our team of qualified, diverse individuals. This position can be located in Roy, UT, Bellevue, NE, or Huntsville, AL.

As an DevOps Engineer, you will

• Develop scripts, workflows, and playbooks for storage provisioning, automation, and backup integration.

• Design, build, maintain and own SDP‑compliant CI/CD pipelines, ensuring they incorporate security checks, automated patching, and governance requirements.

• Develop containers with Podman and orchestrate deployments on Kubernetes (or similar platforms).

• Create and maintain IaC using Ansible (or comparable tools) to provision and configure cloud resources, containers, and networking components.

• Write automation scripts and playbooks in Python, Go, Bash, or other languages for building images, running SAST scans, and automating repetitive tasks.

• Develop and evolve build, deployment, and release processes, including versioning, artifact storage, and promotion across environments.

Basic Qualifications

• Must have an active U.S. Government DoD Secret security clearance at time of application, current and within scope, with an ability to obtain and maintain Special Access Program (SAP) approval as determined by the company to meet its business need

• Hold or have the ability to obtain Security + CE (or other DoD 8570/8140 certification)

• Level 3 (T3): 5 Years with Bachelors in Science from an accredited university; 3 Years with Masters; 1 Year with PhD or

  4 additional years of relevant experience in lieu of a degree.

• Level 4 (T4): 8 Years with Bachelors in Science from an accredited university; 6 Years with Masters; 4 Years with PhD or

  4 additional years of relevant experience in lieu of a degree.

• Experience with developing CI/CD workflows and utilizing tools such as Nexus, Maven, Jira, GitLab, and Release Management

• Hands-on experience with Infrastructure as Code tools (e.g., Puppet, Chef, Ansible.)

• Programming and scripting experience in a UNIX environment (GoLang, C++, Perl, Python, Bash, Ruby, Shell, Scripts)

Preferred Qualifications

• Experience with Kubernetes, Docker, and/or other cloud orchestration tools and technologies

• Experience with Podman, Buildah, Skopeo and/or other container tools and technologies

• Experience with CI/CD best practices, automated builds and tests, quality gates, software quality, and CI tools, i.e., Jenkins

• Experience with configuration management tools, i.e., Git, GitHub,

• GitLab, Bitbucket, others Familiarity with branching strategies, gated commits, source-controlled management, etc. Familiarity with the principle of DevSecOps

• Familiarity with Atlassian Tool Suite Jira, Confluence Familiarity with using a Nexus Repository

• Familiarity with security coding standard best practices, static and dynamic scanning tools, i.e., SonarQube, Fortify, Coverity, PCLint, Anchore, Nexus Lifecycle, etc.

• Familiarity with Agile Development

Open date: February 25, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.

Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.

Key Responsibilities

*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Design, build, and maintain new software packages for efficient data processing.

*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.

*General organization and management of software documentation.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.

*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.

*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.

These positions will be eligible for full benefits.

Lab:

Contract: ar-contract-2022/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field

*Demonstrated record of productivity and publications and/or scholarly contributions

*Strong biological background and understanding of molecular biology

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)

*Expertise in programming in C++, Labview, MATLAB, Python

*Expertise in databases, data infrastructure, data governance

*Expertise in high performance computing using SLURM or LSF

*Experience with PyTorch, JAX, or Tensorflow

*Experience with NVIDIA CUDA and related OpenMP programming

*Experience with cloud services (AWS, GCP, Azure, etc)

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc

*Experience mentoring undergraduate/graduate students, and/or technicians.

*Experience with professional speaking engagements

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position

  
  

• Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

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• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims.

This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience.

RESPONSIBILITIES

• Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling.
• Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks.
• Help implement data quality checks, validation routines, and monitoring for automated data workflows.
• Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices.
• Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development.
• Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake.
• Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL.
• Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets.
• Participate in model development, including data profiling, model training, validation, and interpretation.
• Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk.
• Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value.
• Collaborate with business leaders to translate insights into operational improvements and cost efficiencies.

QUALIFICATIONS

• Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistics, Economics, or related field.
• Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL.
• Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment.
• Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development.
• Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred.
• Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus.
• Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects.
• Strong analytical, communication, and problem-solving skills.
• A self-starter mindset, with attention to detail and enthusiasm for learning new technologies.

SALARY RANGE

The pay range for this position is $35 hourly.

ABOUT THE COMPANY

The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."

Cloud Engineer/Architect

TS/SCI

Onsite: National Space Intelligence Center at Wright-Patterson Air Force Base. The address is 4180 Watson Way, Wright Patterson Air Force Base OH, 45433.

Contract Info: Fully Funded, 4 years left on contract

150k-170k/year

We're seeking an experienced Cloud Architect to join a dynamic team.

The primary role of the Cloud Architect is to help develop robust technical solutions and detailed execution plans that align with the center's prioritized IT and data requirements. Daily responsibilities involve carefully evaluating existing data repositories and applications amongst the customers to determine how to consolidate and migrate to more efficient and modern technologies. The responsibility also requires the architect to work closely with the members of the cloud team to refine data, IT, and cloud adoption strategies, ensuring that every piece of technology and every process contributes to our overall mission effectiveness.

In addition, the role also encompasses cybersecurity and security control requirements to safeguard IT infrastructure, lead the deployment of cloud architectures and applications, and continuously assess new technologies that could meet mission objectives. Moreover, the role entails creating comprehensive process documentation, bullet papers, slide presentations, and other relevant materials to support initiatives and maintain uninterrupted mission continuity.

Required

• 7 years of Cloud Engineering/Architect experience
• Bachelor’s degree - IT related
• Technical certification (One or more of CASP/SecurityX, Sec+, CISSP)
• Strong AWS Cloud skills (VPC, IAM, EC2, S3, ECR)
• Containerization/Microservices
• Kubernetes deployments/tools (Pods, Kubectl, Kustomize, Helm)
• Security hardening (Sonarqube, Client Fortify, STIG)
• Strong understanding of DoD environments, processes and common technical infrastructure
• Strong customer communication skills
• Strong understanding of Agile Scrum/Kanban

Preferred

• CICD Pipelines (e.g. Gitlab, GitHub, Bitbucket)
• Visualization dashboard (Promethius, Kibana, Kuma)
• Microsoft Azure Cloud
• Atlassian Suite (Confluence, Jira)
• Bash, Shell scripting
• Remote Connections
• Self-motivated & fast learner

Interview Process: 1 - 2 step interview.

Onboarding timeline: Start date is 2 weeks after accepted offer

Marathon TS is committed to the development of a creative, diverse and inclusive work environment. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Marathon TS will be based on merit, qualifications, and abilities. Marathon TS does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age or any other characteristic protected by law (referred to as "protected status").

Remarks:

Clearance required: TS/SCI

The customer would strongly prefer A STEM related degree of some type. The individual will be working on-site at the National Space Intelligence Center at Wright-Patterson Air Force Base. The address is 4180 Watson Way, Wright Patterson Air Force Base OH, 45433.

The interview will be 1-2 interviews with a start date no longer that 2 weeks following. Contract is fully funded and has at least 4 more years + extension.

Awarded by the Air Force Research Labratory (AFRL’s) Information Directorate (RI), the new award has an estimated value of $406m.

As part of the InSITE contract, the company will be responsible for modernising and advancing the service’s capabilities to gather, share and analyse the intelligence information by leveraging a wide range of artificial intelligence (AI)-based solutions

Kelly Government Solutions has an opening for a Biomedical AI Imaging Scientist to support the Integrated Research Facility at the National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) in Frederick, MD. Role is estimated to support work arrangement that is primarily on-site with flexibility for remote work if/when authorized.

This is a long-term contract position which offers:

- Competitive compensation and comprehensive benefit package

- Optional health, vision, and dental plans

- Paid leave, paid federal holidays, and 401K plan.

- Access to NIH's unparalleled resources and niche scientific initiatives

KEY TASKS

(1) Support imaging scientists with acquisition of imaging data and conduct research as directed by NIAID involving and related to imaging and artificial intelligence in support of the Integrated Research Facility (IRF) in Frederick, MD

(2) Consult with scientific staff and NIAID leadership to ensure data meets scientific objectives; coordinate overall study logistics with other core laboratory services.

(3) Analyze and interpret imaging data from various modalities to support research studies on select agent viruses.

(4) Develop, train, and validate machine learning and deep learning models for image segmentation, feature extraction, and quantification tasks.

(5) Collaborate with the imaging team to design and implement new algorithms or modify existing ones to improve image analysis accuracy and efficiency.

(6) Generate reports and visualizations to communicate findings and trends in imaging data to researchers and stakeholders.

(7) Stay updated with advancements in AI and image analysis techniques relevant to biomedical research and apply this knowledge to enhance IRF capabilities.

(8) Work closely with the other functional area leads at the IRF to integrate imaging analysis results with other data for a comprehensive understanding of viral pathogenesis.

(9) Ensure compliance with all safety protocols and procedures while working in a BSL-4 environment.

(10) Provide guidance on experimental design and implementation and strives to quickly resolve problems; publish results in peer-reviewed journals.

(11) Communicate progress or problems with approved programs and projects to leadership.

KEY REQUIREMENTS

(1) Ph.D. in Computer Science, Biomedical Engineering, Bioinformatics, or a related field with a focus on artificial intelligence, machine learning, or image processing. Candidates possessing master's degree and relevant experience may also be considered.

(2) Experience analyzing multimodality imaging scans, such as parametric image analysis of MRI data

(3) Strong theoretical foundations in machine learning, deep learning, and image analysis techniques with experience working with biomedical imaging data.

(4) Proficiency in programming languages such as Python, R, or MATLAB along with experience using popular deep learning frameworks like TensorFlow, PyTorch, or Keras.

(5) Familiarity with biomedical imaging data and experience working with image processing libraries such as OpenCV or ITK-SNAP.

(6) Experience with radiomic feature extraction and application to machine learning, feature selection methods such as mRMR, and working with a high-performance computing environment and GitHub repositories

We are seeking an experienced Technical Writer III to support complex documentation initiatives within a technology-driven engineering environment. This role will collaborate closely with engineering, product, and cross-functional teams to create and maintain high-quality technical documentation.

Key Responsibilities

• Develop, edit, and maintain technical documentation including:
• User manuals
• Installation guides
• Release notes
• Online help content
• FAQs and process documentation
• Collaborate with engineers, SMEs, and product teams to gather and translate technical information into clear, user-friendly content
• Manage documentation repositories and version control processes
• Ensure documentation accuracy, clarity, and compliance with company standards
• Maintain templates and ensure consistency across documentation
• Support documentation updates aligned with product changes and engineering revisions
• Manage multiple documentation projects and meet deadlines

Required Qualifications

• Bachelor’s degree in Technical Writing, English, Communications, Computer Science, or related field
• 3–5+ years of technical writing experience
• Experience developing complex technical documentation
• Strong written and verbal communication skills
• Ability to explain technical concepts to non-technical audiences
• Strong organizational and time-management skills

Preferred Skills

• Experience with documentation tools such as:
• Windchill
• Adobe FrameMaker
• MadCap Flare
• RoboHelp
• Markdown editors
• Familiarity with CMS platforms and version control tools (Git/GitHub)
• Experience working in Agile or software development environments
• Basic knowledge of APIs or programming concepts
• Experience with AI-based documentation tools (a plus)