Senior Backend Engineer, Core APIs (SRE Focus)

Accountabilities

• • Design, develop, and optimize highly performant backend services for real-time data processing and web APIs, balancing reliability, latency, scalability, and infrastructure cost.
  • Define and own SLIs, SLOs, and error budgets for core API services, using reliability data to guide engineering and delivery decisions.
  • Build and maintain effective observability through meaningful metrics, structured logging, distributed tracing, dashboards, and actionable alerts.
  • Participate in an equitable on-call rotation, respond effectively to production incidents, mitigate customer impact, and lead blameless post-incident reviews.
  • Automate repetitive operational processes and follow through on incident action items to reduce operational toil and prevent recurring failures.
  • Conduct capacity planning, load testing, performance analysis, and tuning to ensure systems can scale ahead of demand.
  • Investigate complex production and product issues by developing hypotheses, running experiments, analyzing results, and translating findings into engineering improvements.
  • Integrate backend components with other services and collaborate with cross-functional teams to maintain performance, scalability, and reliability across the platform.
  • Contribute to a data-driven, reliability-focused engineering culture by sharing best practices and improving development and operational processes.
  • Mentor other engineers and support the continued growth of technical skills, engineering judgment, and operational excellence across the team.

  Requirements

  • 5+ years of backend software engineering experience, including substantial experience operating production systems that you have helped build.
  • Demonstrated experience with formal SRE practices, including error budgets, capacity planning, production readiness reviews, or fault-injection and resilience testing.
  • Strong hands-on experience with Go and/or Node.js, with the flexibility and willingness to learn the other technology.
  • Proven ability to design, develop, and maintain scalable backend systems, APIs, microservices, and real-time data-processing services.
  • Practical experience running production workloads with Docker and Kubernetes or comparable containerization and orchestration technologies.
  • Experience with infrastructure-as-code tools such as Terraform or AWS CloudFormation.
  • Working knowledge of observability platforms such as Datadog, including service instrumentation, monitoring, logging, tracing, dashboards, and alerting.
  • Experience participating in production on-call rotations, troubleshooting live incidents, mitigating impact, and conducting post-incident analysis.
  • Strong SQL skills and experience working with databases or data stores such as DynamoDB, Redis, or Elasticsearch.
  • Familiarity with Git, shell scripting, IDEs, CI/CD pipelines, and standard software engineering practices.
  • Strong understanding of distributed systems, scalability, reliability, and performance engineering.
  • Excellent English communication skills and the ability to collaborate effectively within a globally distributed, remote-first environment.
  • Ability to work independently, take ownership of complex problems, and collaborate effectively across teams.
  • Strong interest in mentoring engineers and helping raise technical standards across the organization.
  • A degree in Computer Science or a related discipline is welcome but equivalent professional experience is also valued.
  • Experience with analytical platforms such as ClickHouse, Snowflake, BigQuery, Redshift, or Databricks is an advantage.
  • Experience with performance profiling and cost optimization for high-throughput cloud workloads is a plus.
  • Experience contributing to large open-source projects and working asynchronously across international teams is beneficial.
  • Experience with both Node.js and Go in backend environments, as well as knowledge of internet security and privacy mechanisms, is highly valued.

  Benefits

  • US compensation reference: $150,000–$200,000 in cash compensation for US-based employees; compensation ranges vary according to hiring location.
  • Fully remote working environment with the ability to work from a wide range of countries, subject to local regulatory and security requirements.
  • Opportunity to work on high-scale backend and fraud-detection infrastructure with meaningful reliability and performance challenges.
  • Exposure to modern technologies including Go, Node.js, TypeScript, AWS, Terraform, Docker, Kubernetes, Datadog, ClickHouse, and dbt.
  • Flexible, globally distributed work environment designed around remote collaboration and asynchronous communication.
  • Opportunities for continuous technical development, experimentation, and knowledge sharing.
  • Strong emphasis on engineering ownership, reliability, mentorship, and professional growth.
  • Inclusive workplace that values diverse perspectives, experiences, and cultural backgrounds.
  • Visa sponsorship is not provided; employees must be authorized to work from their home location.
  • Country-specific employment requirements and compensation structures may apply outside the United States.