Senior Engineer, Identification

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Design, develop, and optimize backend services for real-time data processing and web APIs, prioritizing reliability, latency, scalability, and cost efficiency.

• Build and operate scalable distributed systems that support growing traffic and increasing platform demands while maintaining high service availability.

• Take ownership of service-level indicators (SLIs) and service-level objectives (SLOs) for core API services, using error budgets to balance development speed with system stability.

• Develop and maintain observability capabilities, including metrics, structured logging, distributed tracing, dashboards, and alerts focused on meaningful user-impacting issues.

• Participate in an equitable, scheduled on-call rotation, responding to production incidents, mitigating impact, and helping restore service reliability.

• Lead blameless postmortems, document incident findings, and implement corrective actions to prevent recurring failures.

• Reduce operational overhead through automation, process improvements, and reliable operational tooling.

• Conduct capacity planning, load testing, and performance tuning to anticipate demand and ensure systems scale safely and efficiently.

• Build, maintain, and improve production infrastructure using cloud platforms, containerization, orchestration, infrastructure-as-code tools, and CI/CD pipelines.

• Collaborate with cross-functional teams to deliver integrations, support product requirements, and improve the reliability of identification services.

• Mentor other engineers, share technical knowledge, and contribute to engineering standards and best practices.

• Take features and improvements from initial design through deployment, monitoring, and ongoing production ownership.

Requirements

• At least 5 years of backend software development experience, including substantial responsibility for operating production systems.

• Strong hands-on experience with Go (Golang), scalable API development, microservices, and real-time data processing.

• Demonstrated expertise in designing, scaling, and maintaining distributed systems in production environments.

• Practical experience with Docker, Kubernetes, and infrastructure-as-code tools such as Terraform or AWS CloudFormation.

• Experience operating cloud-based services, preferably on AWS, with an understanding of production deployment and reliability practices.

• Working proficiency with observability platforms such as Datadog or comparable tools, including instrumentation, dashboards, metrics, logging, tracing, and alerting.

• Prior on-call experience, including incident triage, impact mitigation, troubleshooting, and post-incident documentation.

• Strong SQL skills and experience with databases or data stores such as DynamoDB, Redis, or Elasticsearch.

• Proficiency with Git, shell scripting, and continuous integration and continuous delivery (CI/CD) workflows.

• Ability to work independently in ambiguous environments, communicate directly with stakeholders, and make sound technical decisions.

• Strong written and verbal English communication skills for effective collaboration in a globally distributed team.

• Willingness and ability to mentor junior engineers and contribute to a collaborative engineering culture.

• A bachelor's or master's degree in Computer Science, or equivalent practical experience.

Preferred qualifications:

• Experience with analytical data platforms such as ClickHouse, Snowflake, BigQuery, Redshift, or Databricks.

• Familiarity with queuing and streaming technologies such as Amazon SQS or Kafka.

• Experience with performance profiling and cost optimization for high-throughput cloud workloads.

• Production experience with vector databases such as Pinecone or Qdrant.

• Background in machine-learning-adjacent product engineering, concurrent programming, or internet security and privacy mechanisms.

Technology stack: Go, AWS, Terraform, Docker, Kubernetes, CI/CD pipelines, Datadog, ClickHouse, and dbt.

Benefits

• Salary: Annual base salary range of $152,000–$205,000 for eligible U.S. locations, depending on geography, experience, and expertise.

• Location-based compensation: Illustrative annual salary ranges include $178,000–$205,000 for New York City and $152,000–$174,000 for Chicago.

• Remote work: Fully remote work environment, with team members working across a wide range of locations.

• Pay transparency: Compensation is benchmarked against comparable growth-stage companies and considers role, seniority, and geographic location.

• Inclusive culture: Commitment to fostering a respectful, supportive workplace that values diverse experiences, perspectives, and backgrounds.

• Professional development: Opportunities to mentor engineers, collaborate with experienced technical teams, and contribute to complex, high-scale systems.