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.

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