Staff Software Engineer – Authentication

Role Overview

• 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.

Requirements

• 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.

Tech Stack

• AWS
• Cloud
• Distributed Systems
• Docker
• DynamoDB
• Grafana
• Jenkins
• Kubernetes
• Linux
• MySQL
• Prometheus
• Python
• Redis
• Go

Benefits

• Competitive compensation, including equity for all employees
• 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
• Affordable vision and dental plans for you and your family
• Employer-provided life and disability coverage with additional supplemental options
• Paid Parental Leave
• Equal for all parents, 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!
• Identity protection through Norton LifeLock
• Recurring monthly Phone and Internet allowance
• One-time home office allowance
• Remote first environment – meaning you have flexibility in your day!
• Company holidays
• Annual professional development and learning benefit
• Pick your own Apple MacBook Pro
• Retirement plan with competitive 401(k) match
• Wellness Program including Employee Assistance Program, 24/7 Telemedicine