• Lead clinical programming activities across assigned studies, ensuring project timelines, budgets, deliverables, and resource needs are effectively managed while proactively identifying and escalating risks or change orders. • Design, build, validate, and maintain clinical databases, electronic edit checks, data listings, and data visualization tools to support high-quality data collection, review, and regulatory compliance. • Collaborate cross-functionally with Data Management, Project Management, Biostatistics, and study teams to develop study documentation, clarify technical specifications, and deliver programming solutions that meet project objectives. • Champion industry standards and quality, applying CDISC conventions (CDASH, SDTM, TAUGs), validation principles, and programming best practices to ensure consistent, compliant, and inspection-ready deliverables. • Drive innovation and continuous improvement by leading process enhancements, developing global programming standards and libraries, implementing data analytics and visualization tools, and supporting departmental initiatives.

Role Description This is a dedicated Code Reviewer role embedded within a client’s engineering team. You will not be expected to build new features as your primary responsibility; your impact will come from reviewing pull requests, identifying risks, and helping the team maintain high engineering standards. This role is ideal for an engineer who enjoys improving code quality, maintainability, and security across modern software systems. - Review pull requests for correctness, readability, maintainability, performance, and security before code is merged. - Provide clear, constructive, and actionable written feedback aligned with the client’s engineering standards. - Identify architectural concerns, design tradeoffs, and maintainability risks that go beyond syntax or style issues. - Escalate complex technical concerns to the client’s tech lead with enough context to support fast decision-making. - Enforce API consistency, backward compatibility, and clean integration patterns across services and applications. - Spot common security vulnerabilities such as SQL injection, XSS, IDOR, unsafe authentication flows, and insecure data handling. - Help maintain consistent code quality across backend, frontend, database, and cloud-native work depending on the assigned client stack. - Support a healthy review culture by giving feedback that is professional, specific, and respectful. - Deliver reliable pull request review turnaround within agreed async workflows, generally within 24 hours. - Document recurring code quality issues and patterns so the team can improve over time. Qualifications - 4+ years of professional software engineering experience in a relevant production environment. - Strong written English at C1 level or higher; this is non-negotiable because most feedback will be written. - Meaningful hands-on experience reviewing pull requests in GitHub, GitLab, Bitbucket, or a similar workflow. - Strong experience in at least one of these stacks: Node.js or Python backend with React/TypeScript and PostgreSQL; Java with Spring Boot, microservices, and AWS or GCP; or Python data/backend stack with FastAPI or Django, SQL, and cloud-native systems. - Solid understanding of clean code, SOLID principles, common design patterns, and maintainable software architecture. - Ability to identify security, performance, backward compatibility, and architectural risks in code reviews. - Experience working independently in an asynchronous remote environment and able to deliver pull request reviews within 24 hours. Requirements - Experience reviewing code across both backend and frontend systems. - Familiarity with cloud-native development patterns in AWS or GCP. - Experience with microservices, distributed systems, or API versioning. - Background mentoring engineers through written technical feedback. - Experience creating or improving code review standards, checklists, or engineering guidelines. Benefits - Access to a $200K+ perk marketplace with discounts on 150+ global services. - Option to withdraw up to 50% of approved earnings before payday.

Title: Software Engineer I Location: Sterling United States Job Description: Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact As an engineering member on the team, you will make key design decisions that will shape our newest products. This platform will offer law enforcement administrators and crime analysts flexible access to key crime data, decision support, state and federal crime reports, and criminal investigation insights. Work Location: This role is based out of our Sterling, VA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success What You'll Do - Participate in code reviews and architecture design meetings - Own and drive end-to-end features with Product and Design - Ensure that your code hits a high bar for quality and performance - Partner with internal teams and agencies to make public safety data accessible and actionable - Facilitate cross-team collaboration among engineers and contribute to the broader community of Dedrone engineers What You Bring - Bachelor''s Degree in Computer Science or Engineering, OR graduate of coding boot camp OR relevant internship experience OR 1-2 years of relevant experience in related field - Highly technical with experience developing and maintaining end-to-end, high availability, high throughput web-scale data systems - Backend experience in managed languages such as Java, Scala, Go, C#, or similar - Demonstrated ability to make tough technical decisions based on requirements, constraints, and trade-offs - You follow the latest in software engineering and open source technologies - Industry experience working with SQL or NoSQL data stores is a plus - Good Linux/Unix/Mac experience is a plus Benefits that Benefit You - Competitive salary and 401k with employer match - Discretionary paid time off - Paid parental leave for all - Medical, Dental, Vision plans - Fitness Programs - Emotional & Mental Wellness support - Learning & Development programs - Employee Resource Groups (ERGs) - And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work. Don't meet every single requirement? That''s ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes. Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.

Role Description We are looking to fill a full-time Senior Software Engineer, remote-work position. Working as part of the Irth AIP development team on cutting-edge machine learning and data analytics technology, the successful candidate will work directly with customers and colleagues to prototype, experiment with, develop, and prove innovative new solutions for the oil & gas pipeline industry. The ideal candidate possesses an entrepreneurial spirit - curious, driven, and willing to fail in pursuit of the best solution. You bring broad full-stack software engineering experience across: - Front-end web interface development - Server-side applications - Background processing - Database development You have a genuine passion for data-intensive problems in the energy sector. The position requires occasional travel for company and team meetings. Qualifications - 5+ years of general software development experience; 3-5 years in web application development - Strong proficiency in C# / Microsoft ASP.NET, HTML, CSS, JavaScript / TypeScript - Hands-on experience with Microsoft SQL Server - including stored procedures, indexing strategy, and query performance tuning - Experience with SPA frameworks (Angular and AngularJS) and ASP.NET WebAPI / MVC / Razor - Solid understanding of RESTful API design, SOLID principles, and GoF design patterns - Proficiency with Git source control and unit testing (XUnit, NUnit, or equivalent) - Experience with cloud technologies (Azure / AWS) - Strong communication skills; able to work independently in a remote-first environment Requirements - Architect, develop, and deliver full-stack features spanning AngularJS/Angular front-ends, ASP.NET server-side APIs, background processing services, and SQL database layers - Lead technical design discussions, make architectural decisions, and set coding standards across the team - Write clean, maintainable, and well-tested C# and TypeScript code following SOLID principles, GoF design patterns, and RESTful API best practices - Develop and optimize complex SQL queries, stored procedures, and indexing strategies to ensure high-performance data access at scale - Build and iterate on customer-facing web applications - owning features end-to-end from UI/UX through to the database - Prototype and prove innovative new approaches using machine learning and data science to solve hard problems in the pipeline integrity space - Integrate third-party data sources, GIS platforms, and customer systems into the Irth AIP platform via robust APIs and ETL pipelines - Contribute to Power BI dashboards, SSRS reports, and enterprise analytics features that deliver actionable insights to operators - Mentor junior engineers through code reviews, pair programming, and knowledge sharing - Champion engineering best practices - unit testing, CI/CD via Azure DevOps, agile methodology, and continuous improvement Assets & Nice-to-Haves - Experience with oil & gas pipeline integrity data systems - ILI data, PODS, APDM, UPDM, or similar GIS pipeline data platforms - Familiarity with pipeline integrity business processes: corrosion management, CP surveys, field NDE data, dig management, or regulatory compliance - Understanding of pipeline data modelling and analysis challenges inherent in ILI and integrity datasets - Azure SQL and broader Microsoft Azure platform experience (Azure DevOps, cloud architecture) - Advanced SQL performance tuning - execution plans, query optimization, indexing strategies at scale - Experience with Oracle or other enterprise database platforms - Power BI dashboard development and enterprise reporting experience - SQL Server Reporting Services (SSRS) or equivalent reporting platforms - Experience with analytical data models and data warehousing concepts - .NET 6 or greater class libraries and design patterns - Entity Framework or other modern ORM frameworks - NodeJS development experience - Machine learning or data science exposure in an engineering context