What you'll do

As a Senior Software Engineer on the Authentication team, you will help build and scale the cloud services behind Passport as the team continues moving customers onto its cloud platform. You'll focus on highly reliable, secure authentication services that power voice-based identity verification at scale, while increasingly leveraging AI/ML-driven signals and tooling to strengthen fraud defenses and engineering productivity. More specifically, you will:

• Design, develop, test, deploy, and monitor high-performance backend services and APIs using Go and Python, with an emphasis on secure, low-latency authentication and identity workflows.
• Build and maintain cloud-native services across AWS and GCP (e.g., S3, DynamoDB, Kinesis, IAM) with a focus on reliability, scale, and secure production operation, including data pipelines that feed downstream ML and risk models used in authentication decisions.
• Deliver features and enhancements through the full software development lifecycle, including implementation, automated testing, deployment, and operational support, using CI/CD and infrastructure-as-code practices.
• Tackle complex software engineering problems in authentication, identity, and fraud prevention-contributing to architecture decisions, threat-aware design, and continuous improvement of engineering best practices across the team.
• Integrate and consume AI/ML capabilities (for example, model-backed risk scores, deepfake detection signals, or ML-driven policies) by collaborating with Research, MLOps, and Protect/Passport teams, and help productionize these models into scalable, observable services.
• Use observability and diagnostics tooling (metrics, logging, tracing, dashboards) to troubleshoot production issues, reduce alert noise, and systematically improve reliability and latency for authentication journeys.
• Partner closely with software engineering, test engineering, research, product, Protect, Passport, and Core teams to deliver new capabilities and improve existing ones, including AI-enhanced identity and fraud experiences for customers.
• Participate in the team's on-call rotation, including helping cover after-hours alerts as we expand distributed support coverage for our customer-facing authentication platform.
• Contribute to documentation, runbooks, and design reviews that clarify how authentication services behave, how AI/ML components are used safely, and how other engineers should integrate with the platform.

Who you are

• You are a strong communicator who collaborates effectively across engineering, product, test, research, and other cross-functional partners.
• You are an owner who can independently drive work from design through production with strong judgment around performance, scale, security, and reliability in authentication flows.
• You are energized by solving hard technical problems and improving systems, processes, and engineering standards, especially in high-stakes, security-sensitive environments.
• You are resilient, adaptable, and effective in environments that require context switching, rapid troubleshooting, and operating through ambiguity while maintaining high quality.
• You are resourceful and curious-comfortable learning new tools (including AI tooling) and teaching yourself what you need to move a problem forward, then sharing that knowledge with the team.
• You are invested in helping others grow and bring a mentorship mindset to code reviews, pairing, and day-to-day collaboration.

Your skill-set

Must-haves:

• 5-7+ years of professional software development experience building backend services and APIs.
• Strong experience with Go, Python, or similar languages, plus a solid foundation in data structures, algorithms, concurrency, and Linux-based development.
• Hands-on experience designing and operating cloud-native systems in AWS or GCP, including managed services such as S3, DynamoDB, Kinesis, and IAM.
• Experience with CI/CD, DevOps, Docker, Kubernetes, and production ownership, including deploying, monitoring, troubleshooting, and supporting services in live environments.

Nice-to-haves:

• Experience with backend data stores and messaging technologies such as Redis, MySQL, RabbitMQ, and Elasticsearch.
• Experience in authentication, identity, fraud prevention, or other security-sensitive product environments.
• Experience with observability tooling and production diagnostics across metrics, logging, and tracing.
• Exposure to UI work or adjacent product experiences that connect backend systems to customer-facing workflows.

What's in it for you

At Pindrop, you'll work on the backend and platform systems that power Passport, helping secure critical customer interactions where trust, fraud prevention, and identity verification matter every day. You'll tackle meaningful cloud engineering challenges that shape reliability, scalability, and the speed at which products reach customers, with direct visibility into the impact of your work. As a senior engineer, you'll have the opportunity to influence architecture, raise technical standards, and help strengthen a growing team alongside experienced partners across the platform. You'll join a company operating at the intersection of authentication, fraud prevention, and deepfake defense, where strong engineering directly supports the business and the customers who rely on it.
What we offer

As a part of Pindrop, you'll have a direct impact on our growing list of products and the future of security in the voice-driven economy. We hire great people and take care of them. Here's a snapshot of the benefits we offer:

• Competitive compensation package, including RSUs (Restricted Stock Units) for all employees, so everyone shares in our long-term success.
• Remote-first environment - giving you flexibility and autonomy in how you structure your day.
• While we work flexibly, we prioritize meaningful in-person moments through regular team on-sites, company-wide events, and intentional gatherings that foster connection, collaboration, and shared success.
• Unlimited Paid Time Off (PTO)
• Generous health and welfare plans to choose from - including one employer-paid "employee-only" plan!
• Best-in-class Health Savings Account (HSA) employer contribution
• Low-cost vision and dental plans for you and your family, providing comprehensive coverage and peace of mind.
• Paid Parental Leave - Including birth, adoptive & foster parents
• One year of diaper delivery for your newest addition to the family! It's our way of welcoming new Pindroplets to the family!
• Recurring monthly phone and internet allowance to help cover essential connectivity costs and support flexible work.
• Enhanced fertility and GLP-1 benefits to support family-building journeys and personalized health needs.
• Annual Learning & Development stipend to support your professional growth, skill-building, certifications, and continued education.

This position will be posted for 45 days after 6/23/26.
#LI-Remote

Please note that the base pay range is a general guideline only. Pindrop considers factors such as (but not limited to) scope and responsibilities of the position, a candidate's work experience, education/training, and key skills, as well as market and business considerations, when extending an offer.

US Base Pay Range

$130,000-$170,000 USD

Not sure if this is you?

We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you're not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.
AI - A Transformative Force

At Pindrop, we view artificial intelligence as a transformative force that, when harnessed responsibly, can unlock unprecedented value for our customers, partners and society and enable and empower us to continue to deliver cutting-edge technology to combat fraud and unblur the lines between what it means to be human versus machine.

Pindrop may use AI tools to help prioritize job applications for human review. The AI tool may analyze your work experience and skills to assess fit for the role, but does not consider your name or contact details. Applications with the strongest match to job requirements are prioritized for human review; not all applications may be individually reviewed.