Observability Specialist

Accountabilities:

• • Own, operate, and continuously evolve the observability platform across applications, APIs, databases, Kubernetes workloads, cloud infrastructure, and on-premises environments.
  • Improve visibility into production behavior through effective metrics, logs, traces, profiling, dashboards, alerts, and service-level indicators.
  • Partner with engineering and platform teams to define meaningful SLIs and improve alert quality, reducing noise while keeping alerts actionable and connected to user impact.
  • Build internal tools, libraries, automation, and self-service workflows that enable engineers to instrument services, investigate incidents, analyze performance, and understand system dependencies.
  • Identify reliability, latency, capacity, performance, and infrastructure cost issues before they become user-facing incidents.
  • Establish observability standards, naming conventions, documentation, and training materials that can be adopted consistently across engineering teams.
  • Manage and optimize observability technologies such as Datadog, Honeycomb, Sentry, Pyroscope, Prometheus, Grafana, and OpenTelemetry, balancing scalability with platform costs.
  • Support the design and implementation of SLOs and help product teams adopt effective reliability practices.
  • Investigate production issues and performance regressions, including profiling and analysis of application and infrastructure behavior.
  • Collaborate with product, database, infrastructure, security, and engineering teams to improve system reliability and operational maturity.

  Requirements:

  • 5+ years of experience in observability, SRE, platform engineering, infrastructure engineering, backend engineering, or production systems engineering.
  • Strong understanding of metrics, logging, distributed tracing, profiling, alerting, dashboards, SLIs/SLOs, and incident response workflows at scale.
  • Experience building internal tools, automation, libraries, or platforms used by other engineers.
  • Proficiency in at least one backend programming language, preferably Python.
  • Hands-on experience with observability platforms such as Prometheus, Grafana, Datadog, OpenTelemetry, Jaeger, Tempo, Loki, Honeycomb, Sentry, Pyroscope, or similar technologies.
  • Experience with OpenTelemetry instrumentation and collector configuration at scale.
  • Familiarity with technologies such as PostgreSQL, CockroachDB, Redis, GraphQL, and Kubernetes.
  • Experience analyzing and working with existing codebases and collaborating across technical teams.
  • Strong communication and collaboration skills, with the ability to help other engineers build, operate, and troubleshoot reliable systems.
  • Pragmatic problem-solving mindset, with good judgment around when to improve tooling, simplify solutions, or avoid unnecessary complexity.
  • Ability to work autonomously, take ownership of projects, mentor less-experienced engineers, and operate effectively in a fast-moving environment.
  • A proactive, growth-oriented approach and genuine interest in building reliable infrastructure with meaningful real-world impact.

  Benefits:

  • Remote work opportunity with flexibility and autonomy.
  • Opportunity to work on large-scale, mission-driven financial technology infrastructure.
  • High degree of ownership across projects, from problem definition through production monitoring.
  • Professional growth through exposure to complex observability, reliability, performance, and platform engineering challenges.
  • Opportunities to mentor and collaborate with experienced engineers across distributed teams.
  • Inclusive and diverse international engineering environment.
  • Opportunity to help define the scope, standards, tooling, and practices of a growing Performance & Observability function.
  • Exposure to modern technologies including OpenTelemetry, Kubernetes, cloud infrastructure, Datadog, Honeycomb, Sentry, Pyroscope, and related observability platforms.
  • Competitive compensation and benefits package, according to local employment terms.
  • Flexible, autonomy-focused work culture designed to support productivity and continuous learning.