Senior Software Engineer Jersey City

Senior Software Engineer – Risk Management Automation As a Senior Software Engineer within one of FanDuel’s Risk Management Automation teams, you will play a key role in a cross‑functional agile team that directly impacts our business. You will work collaboratively with stakeholders to implement high‑quality solutions, scope effort and timelines, and balance priorities of business and engineering needs. Your team delivers high‑quality software, and you take pride in testing, deploying, monitoring, and maintaining that software. You will work directly with risk managers to improve automated risk‑management platforms and serve as a domain expert on automated risk implementation within the larger Risk and Trading landscape. Beyond development, you will identify opportunities to innovate through technology and adapt to evolving business needs. Key Responsibilities Deep experience with C# and backend systems. Experience working directly with stakeholders/end users. Write simple, extendable code following standards and best practices. Thoroughly test code. Balance customer requirements with team requirements. Participate actively in code review, design discussions, team planning, and metric reviews. Classify, store, and handle data in accordance with FanDuel policies. Track security risks and mitigate or escape them in a timely manner. Focus on operational excellence and constructive problem solving. Enhance team software and processes through software improvements. Resolve root causes of complex problems, improving maintainability. Train new teammates on software architecture, security, and business context. Foster constructive dialogue and seek professional resolutions. Recruit and interview for the team. Estimate stories/tasks accurately and deliver on time. Mentor and develop other engineers. Participate in on‑call rotation and provide customer support. Keep up to date with market standards and open‑source frameworks. Demonstrate self‑management, humility, curiosity, and continuous learning. Creative problem‑solving ability. A passion for learning and improvement. Qualifications Degree in Computer Science, Data Science, Engineering. 5+ years of industry experience in software engineering, machine learning, data science, or finance engineering. Proficient in building services with modern OO languages; C# is essential. Fundamental understanding of data structures and algorithms. Proficient with GitOps patterns. Experience with CI/CD tooling (BuildKite, GitHub Actions). Experience with cloud‑based infrastructure and technologies. Knowledge of AWS, API Gateway, Lambda, serverless applications. Knowledge of IaC (Terraform, Helm) is nice to have. Experience designing relational databases. Experience with streaming technologies (Kafka) is nice to have. Ability to document code, research, and designs clearly. Translate requirements into design and develop applications. Understanding of containers (Docker) and orchestration (Kubernetes). Demonstrated operational excellence and on‑call support. Experience with unit testing and testing tools. Experience in an Agile environment. Salary & Benefits The applicable salary range for this position is $149,000 – $195,300 USD, dependent on experience, location, business needs, and market demand. Benefits include medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; short‑term and long‑term incentive compensation; paid personal time off and 14 paid company holidays; and paid sick time in accordance with state and federal laws. Equal Opportunity Employment FanDuel is an equal‑opportunity employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local, or federal law. Accommodations FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application or hiring process, including support for the interview or onboarding process, please email View email address on click.appcast.io. Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #J-18808-Ljbffr