About GitHub GitHub is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot. Locations In this role you can work from Remote, United States Overview GitHub Copilot is redefining how the world builds software — and Copilot Chat on GitHub.com is where that experience comes to life for millions of developers every day. We’re looking for a Staff Software Engineer who combines deep software engineering craft with hands-on applied AI expertise to help shape what that experience becomes. In this role, you’ll work at the intersection of large language models and production systems — designing and building intelligent, context-aware features that integrate directly into developer workflows at global scale. You’ll drive technical direction for your team, partner closely with product and engineering leadership, and bring the kind of judgment that turns ambiguous AI capabilities into reliable, high-impact product experiences. We care deeply about how we build, not just what we build. We value technical craftsmanship, a culture of ownership, and the belief that great products reflect the teams behind them. If you’re energized by hard engineering problems, care about the craft of shipping quality AI at scale, and want your work to matter to developers worldwide — we’d love to meet you. Responsibilities - Design, develop, test, and ship high-quality AI-powered features at scale — including LLM-integrated experiences, retrieval-augmented generation (RAG) pipelines, and agentic workflows — with full ownership from prototype to production. - Own technical direction for your team’s area: write architecture proposals, lead design reviews, and set the bar for code quality, extensibility, and maintainability. - Develop and own evaluation frameworks — offline evals, online metrics, and A/B experiments — to measure AI feature quality and drive iterative improvement. - Provide technical leadership, mentorship, code reviews, and pairing opportunities to help engineers grow; model the engineering culture you want to see. - Own and advocate for the health and reliability of the systems you build, including participating in on-call and first responder rotations; design and enforce observability standards so your team can operate AI features confidently in production. - Collaborate with product management, design, and engineering leadership to define requirements, evaluate trade-offs, and drive cross-functional projects from concept to launch; communicate progress, risks, and outcomes clearly to stakeholders. - Drive and support a technical roadmap that aligns with product goals, ensuring engineering efforts are strategically prioritized and incorporating emerging AI techniques into practical product decisions. Qualifications Required Qualifications - 9+ years' experience in software engineering, computer science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java - OR associate’s degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 8+ years' experience in software engineering, computer science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java, - OR bachelor's degree in Computer Science or related field AND 7+ years' experience in software engineering, computer science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java, - OR master's degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years' experience in software engineering, computer science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java, - OR doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 3+ years' experience in software engineering, computer science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java, - OR equivalent experience. - 1+ years of experience building and shipping AI/ML-powered features in production as a software engineer. Preferred Qualifications - Experience with LLM-based systems in production, including prompt engineering, retrieval-augmented generation (RAG), intent detection, or agentic/orchestration workflows. - Experience building production applications in Ruby, Go, and/or JavaScript/TypeScript. - Experience with offline and online evaluation frameworks for AI features, including building or maintaining eval pipelines. - Experience with cloud-native development — microservices, containers (Docker), orchestration (Kubernetes), and platforms such as Azure, AWS, or GCP; Azure experience preferred. - Proficiency with telemetry and observability tooling such as Datadog, Azure Data Explorer, or Sentry for operating AI services in production. - A track record of mentoring engineers and raising engineering culture — practices, tooling, and standards — not just shipping code. - Experience working closely with product management, design, and cross-functional partners to drive high-quality AI product experiences from concept to launch. Compensation Range The base salary range for this job is USD $140,400.00 - USD $372,300.00 /Yr. These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. GitHub values - Customer-obsessed - Ship to learn - Growth mindset - Own the outcome - Better together - Diverse and inclusive Manager fundamentals - Model - Coach - Care Leadership principles - Create clarity - Generate energy - Deliver success Who We Are GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub. Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We’re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms. Join us, and let’s change the world, together. EEO Statement GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

Description About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Purpose and Scope: We are seeking an experienced Scientific Software Developer to oversee quality assurance activities across our products and systems. This role is responsible for apply expertise in computer science and scientific disciplines to build, optimize, and maintain software applications used for scientific research, data analysis, and modeling. Responsibilities: - Understanding and analyzing the computational requirements of scientific research projects - Designing and developing robust software applications to meet these requirements - Implementing and managing databases to store and manage scientific data - Creating user-friendly interfaces for non-technical users to interact with the software - Testing and validating software functionality and performance against scientific requirements - Applying mathematical models and algorithms in the development of scientific software - Documenting software design, code, usage, and testing procedures for future reference and software maintenance - Staying up-to-date with new software development technologies and scientific research trends - Collaborating closely with scientists, researchers, and other stakeholders to ensure the software meets their needs - Debugging and resolving software issues, optimizing performance, and implementing software updates - Execute full scientific software development life cycle (SDLC) - Develop flowcharts, layouts, and documentation to identify requirements and solutions - Write well-designed, testable code - Produce specifications and determine operational feasibility - Integrate software components into a fully functional scientific software system - Develop scientific software verification plans and quality assurance procedures - Document and maintain scientific software functionality - Troubleshoot, debug and upgrade existing scientific systems - Deploy programs and evaluate user feedback - Comply with project plans and industry scientific standards - Ensure software is updated with latest features Requirements Required Qualifications: - All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. - Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience. - 5+ years of experience in Scientific Software Development. - Proven work experience as a Scientific Software Developer or similar role - Experience designing scientific applications - Ability to develop software in Python, Java, C++ or other programming languages - Excellent knowledge of scientific computing, data analysis, and visualization - Experience with test-driven development - Proficiency in software engineering tools - Ability to document requirements and specifications Working Environment: eSimplicity supports a remote (or hybrid depending on the role and program) work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer a highly competitive salary and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.

Role Description Are you ready to revolutionize the way we track and analyze data? We're looking for a talented Senior Software Engineer to join our team and make a significant impact. You will thrive at the intersection of complex data science and robust software architecture, helping us turn high-level methodology into high-performance reality. We value engineers who take total ownership of their work, from the initial architectural logic to the ultimate quality and integrity of the data it produces. Responsibilities: - Project Lifecycle Leadership: Drive high-priority projects from initial system design and technical scoping through to final release and post-launch optimization. - Architectural Influence: Take a seat at the table during the earliest stages of product development to ensure technical feasibility, scalability, and long-term maintainability. - Methodology Translation: Partner with Data Science teams to translate sophisticated theoretical models and algorithms into scalable, production-grade code. - Tackle Big Data: Architect and maintain systems to process, match, and store large datasets from diverse internal and third-party sources. - End-to-End Quality: Take responsibility for the entire lifecycle of your features—from robust unit and route testing to ensuring long-term data quality and accuracy. - Enhance Visibility: Integrate monitoring and observability tools to boost application performance and ensure system reliability. - Optimize Performance: Analyze and design improvements to scale our infrastructure and data pipelines as our data footprint grows. - Break Down Complexity: Dissect business requirements and transform them into manageable, well-defined engineering tasks. - Drive Team Success: Contribute to shared goals within a cross-functional Agile team, fostering a culture of technical excellence and psychological safety. - Mentorship & Growth: Guide and sponsor other engineers, helping them navigate technical challenges and grow their careers through clear, supportive feedback. Qualifications - Core Engineering: Strong professional experience in either Java or Python, with the versatility to work across both as required by the stack. - Data Processing: Proven experience with Apache Spark for large-scale data manipulation. - Modern Data Stack: Proficiency with SQL and experience navigating environments involving Snowflake, MySQL, and AWS-based data lakes (S3, Glue, Iceberg). - AI-Augmented Workflow: Experience leveraging AI tools like Kiro to optimize coding workflows, documentation, and automated testing. - Data Domain Knowledge: Experience with Data Clean Rooms, DMPs (LiveRamp, Neustar), or Data Science (R) is a plus. Requirements - Strong Collaboration: You are a "People First" engineer who builds understanding through active listening and working seamlessly across disciplines. - Direct Impact: You thrive when given the autonomy to solve hard problems and the opportunity to influence the direction of the product. - Navigating Ambiguity: You thrive in complex environments, knowing how to admit what you don't know and partnering with the right people to find the answer. - Sustainable Excellence: You advocate for best practices in software development—from code reviews to CI/CD—ensuring speed is a byproduct of quality. - Leadership by Example: You set a high ethical bar for data privacy and security. You view production incidents as blameless learning opportunities and always anticipate what’s next for the product. Benefits - Target cash compensation range: $136,100 – $174,210 USD Annually. - Competitive, market-informed compensation. - Participation in iSpot’s equity plan to receive stock options. - Eligibility for (pre-approved) overtime pay for non-exempt roles. Company Description iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further. iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

• Provide technical leadership in clinical data management activities, including database development, edit check programming, data validation, and reporting. • Design, build, test, and maintain clinical study databases and edit checks. • Configure and develop clinical studies in Medidata Rave, including eCRF design and deployments. • Develop, test, and validate Rave Custom Functions using C#. • Configure and manage the Rave Lab Module, including lab data imports and reconciliation. • Define and import data into EDC systems. • Develop and test listings and reports to support data review. • Create automation tools and scripts using Python for data validation and reporting. • Troubleshoot system issues and collaborate with cross-functional teams for resolution. • Provide technical leadership and mentor junior programmers. • Participate in process improvements, bid defenses, and SOP updates as needed.