Senior Software Engineer, Pindrop
Authentication
$130-180k
Offers equity
AWS
Docker
Kubernetes
Python
Redis
Linux
Go
Jenkins
MySQL
Prometheus
Grafana
Kinesis
DynamoDB
Senior and Expert level
Remote from US
Security, identity & intelligence software solutions
Be an early applicant
Security, identity & intelligence software solutions
201-500 employees
B2BEnterpriseMachine LearningSaaSAPICyber SecurityIdentity
Be an early applicant
$130-180k
Offers equity
AWS
Docker
Kubernetes
Python
Redis
Linux
Go
Jenkins
MySQL
Prometheus
Grafana
Kinesis
DynamoDB
Senior and Expert level
Remote from US
201-500 employees
B2BEnterpriseMachine LearningSaaSAPICyber SecurityIdentity
Company mission
Pindrop's mission is to provide real-time security, identity, and trust on every voice interaction.
Role
Who you are
- You have built and operated distributed production systems at scale
- You write systems that handle concurrency, duplication, and out-of-order events without surprising behavior
- You design for explicit failure modes, safe retries, and stable contracts
- You can design for predictable tail latency and controlled resource usage in real-time request paths
- You ship safely with staged rollouts, rollback readiness, and change discipline
- You use observability to reason about production and instrument systems for fast detection and diagnosis
- You can lead incident response and post-incident reviews and drive long-term reliability improvements
- You have managed model lifecycle in production: versioning, validation, staged rollout, rollback, and outcome-tied monitoring
- You have built or operated distributed training pipelines with reproducibility, lineage, and controlled promotion
- You understand drift and training-serving skew risks and mitigate them with contracts, tests, and monitoring
- You have built or operated real-time inference services in production
- You communicate clearly, document decisions, and drive alignment on tradeoffs and success criteria
- You can take ambiguous problems, define scope, and deliver steady progress while keeping the quality bar high
- You actively seek out and remove unnecessary complexity, understanding that simplicity is a prerequisite for reliability, security, and velocity at scale
- Familiarity with voice authentication, fraud detection, or deepfake detection is a plus, not a requirement
- 5–7 years of software development experience
- Experience designing and implementing highly scalable cloud-based APIs
- Experience with multiple programming languages, such as Python and Go
- Expertise in data structures, algorithms, and concurrency
- Experience building and operating real-time distributed systems, including patterns for resilient services such as backpressure, idempotency, timeouts, and retry or circuit-breaking strategies
- Experience working with production ML systems and MLOps (for example, model deployment, feature pipelines, experiment tracking, and model or data quality monitoring) is a strong plus, but not required
- 2+ years of experience in DevOps practices towards deployment of SaaS services, including hands-on experience with Jenkins and GitHub Actions; implementing and maintaining CI/CD pipelines; and managing and maintaining applications in a multi-container environment such as Kubernetes
- Knowledge of different data storage technologies, such as Redis and MySQL
- Knowledge of Docker and container orchestration frameworks such as Kubernetes
- Experience developing and maintaining services using AWS native products such as Kinesis, DynamoDB, and S3
- Experience with observability and monitoring tools such as Prometheus, Grafana, and cloud logging and tracing
- Linux proficiency
What the job involves
- Design model training and inference workflows with clear versioning, lineage, and promotion criteria where models are part of the system
- Define service responsibilities, interfaces, and data contracts that evolve safely
- Specify behavior under retries, timeouts, partial failures, and dependency degradation
- Choose consistency and durability guarantees that match risk, latency targets, and operational realities
- Design the request path for predictable tail latency and controlled resource usage
- Build and operate high-performance services and APIs that keep authentication reliable, secure, and fast at scale
- Implement distributed services that are safe under concurrency and robust to duplicate and out-of-order events
- Build real-time scoring and decision services with clear input/output contracts and bounded execution time
- Build distributed training pipelines that scale, are reproducible, and produce auditable artifacts
- Build pipelines that move data and model artifacts through validation, promotion, and release
- Define automated quality gates for service changes and releases
- Add checks for data quality, schema/contract adherence, and training-serving consistency where appropriate
- Define acceptance criteria tied to measurable outcomes and production behavior
- Ship changes with staged rollouts and rollback readiness as defaults
- Coordinate multi-service releases with clear cutover and recovery plans
- Use production signals to validate rollouts and trigger rollback when risk is high
- Participate in on-call rotation, including nights and weekends
- Own after-hours production releases, including rollout validation, monitoring, and rollback execution
- Instrument the full path with metrics, logs, and traces that enable fast detection and diagnosis
- Implement alerting that reflects user impact, not just component health
- Lead incident response for your services, restore service quickly, and communicate clearly during events
- Run post-incident reviews and close follow-ups that measurably reduce recurrence
- Drive reliability work through SLIs, SLOs, and error budgets, and make tradeoffs explicit
- Improve performance and cost through profiling, load testing, and capacity planning
- Raise engineering quality through reviews, standards, and simplification of operationally expensive designs
- Align across teams on interfaces, data contracts, and reliability expectations to reduce coordination friction
- Evaluate new approaches when they materially improve security, performance, delivery safety, or operational simplicity
- Within 30 days, you’ll
- Ramp up on development process
- Build relationships with others on the team
- Participate in the grooming and planning meetings
- Pick up a small bug fix or code implementation/testing project
- Complete onboarding and attend New Employee Orientation sessions with other new Pindroppers
- Understand and know the product architecture as well as system design
- Within 60 days, you’ll
- Start working on a bigger project/feature
- Deliver small code changes going through the complete SDL
- Actively participate in the team meetings
- Within 90 days, you’ll
- Drive some of the task breakdown in grooming and planning meetings
- Deliver a major feature design or implementation
- Teach us something new
- Able to pick up any tasks coming out of the planning meetings
Our take
The global fraud detection and prevention market size is expected to grow to $141.75 billion by 2028. There has been increasing investment from key players to develop secure fraud solutions across industries such as BFSI, manufacturing, healthcare and others.
Pindrop is propelling enterprises and consumers toward a voice-driven future by unlocking the value of voice interactions. Interacting with a financial institution, a digital assistant, a video chat, or a smart device can provide access to our unique identities, and open new capabilities in security and intelligence evoked solely from a voice.
Pindrop is a big player in fraud detection and voice authentication, currently delivering voice solutions to 8 of the top 10 banks in the world. Its competitors include iovation, ID Experts, ZIMPERIUM and Telsis Limited.
A 2023 partnership with NTT Data has expanded Pindrop's presence in Japan, capitalising on NTT's knowledge of the Japanese market, whilst 2024 funding will accelerate Pindrop's product development.
Steph
Company Specialist at Welcome to the Jungle
Insights
Top investors
Company
Funding (last 2 of 7 rounds)
Apr 2024
$4.3m
LATE VC
Dec 2018
$90m
SERIES D
Total funding: $302.9m
Company benefits
- Paid Parental Leave
- Company holidays
- Unlimited paid time off
- Remote-first culture - including monthly work from home stipends
- Annual professional development and learning budget
- Pick your own Apple MacBook Pro
- Pension scheme
- Medical insurance/Private Health care
- Life Insurance and Critical Illness Insurance
- Flex schedules
- Best in class tools and tech stack
- Fun activities to celebrate our accomplishments as a team
Company HQ
Home Park, Atlanta, GA
Leadership
Vijay Balasubramaniyan
(Co-Founder & CEO)Software engineering experience at multiple companies, including Google and IBM.
Paul Judge
(Co-Founder & Executive Chairman)Also co-founder of Purewire, Inc, Luma, and TechSquare Labs.
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