Staff Software Engineer

What You’ll Do

• Design and Architect: Lead the design and implementation of highly scalable, resilient, and secure microservices and platform components crucial for real‑time fraud detection and prevention
• Technical Strategy & Vision: Define the long‑term technical roadmap for core engineering systems, ensuring they align with CertifID’s business goals and can proactively address evolving fraud threats.
• Hands‑on Development: Act as a principal individual contributor, writing high‑quality, performant code in languages like Python, Java, or C#, and performing thorough code reviews.
• Security & Performance: Champion engineering best practices around security, performance, reliability, and observability (telemetry, logging, alerting) within our cloud‑native environment (e.g., AWS, Azure).
• Cross‑functional Leadership: Collaborate closely with Product Managers, Data Scientists, and other Engineering teams to translate complex fraud and business requirements into concrete, deliverable technical specifications.
• Mentorship & Influence: Mentor and coach other engineers on complex architectural patterns, design principles, and operational excellence, elevating the technical capabilities of the entire team.
• Incident Resolution: Lead the investigation and resolution of the most complex production issues, implementing preventative measures to ensure system stability and integrity.

What We’re Looking For

• Proven experience as a staff‑level software engineer in a fast‑paced, product‑driven environment. Engineering experience of 8+ years.
• Experience in leading teams of other engineers to build a long‑term technical vision and plans to achieve it.
• Strong system programming skills in highly fault tolerant, high‑volume transaction processing systems for critical applications.
• Communication: Excellent written and verbal communication skills, capable of articulating complex technical concepts to both technical and non‑technical audiences.
• Problem‑Solving: A track record of simplifying complex systems, resolving technical debt, and making pragmatic trade‑offs between speed, cost, and quality.

Bonus Points

• Experience in fintech, cybersecurity, or fraud prevention.
• Familiarity with data privacy regulations (e.g., SOC 2, GDPR, CCPA).
• Contributions to open‑source data tools or communities.

What We Offer

• Flexible vacation
• 12 company‑paid holidays
• 10 paid sick days
• No work on your birthday
• Health, dental, and vision Insurance (including a $0 option)
• 401(k) with matching, and no waiting period
• Equity
• Life insurance
• Generous parental paid leave
• Wellness reimbursement of $300/year
• Remote worker reimbursement of $300/year
• Professional development reimbursement
• Competitive pay
• An award‑winning culture

Cybercrime is rising, reaching record highs in 2024. According to the FBI’s IC3 report total losses exceeded $16 billion. With investment fraud and BEC scams at the forefront, the message is clear: the real estate sector remains a lucrative target for cybercriminals. At CertifID, we take this threat seriously and provide a secure platform that verifies the identities of parties involved in transactions, authenticates wire transfer instructions, and detects potential fraud attempts. Our technology is designed to mitigate risks and ensure that every transaction is conducted with confidence and peace of mind.

We are looking for an exceptional Staff Sw Engineer to help us take our fraud prevention software to the next level. This is a high‑impact role where you’ll architect and build scalable software systems that analyze hundreds of signals in real time to look for complex patterns of fraud as we shape the future of fraud prevention. We’re scaling fast, and you’ll have the chance to influence the future of our fraud platform.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.