About the position

As a Software Engineer focused on customer solutions and operational tooling, you’ll be the engine that helps internal teams and customers get value quickly. You’ll automate and streamline operational processes to maximize the efficiency of Customer Success and Sales Engineering. Monitor production systems and proactively detect issues before customers call. Build customer-requested features and small integrations that directly improve time-to-value. Triage, investigate, and resolve customer-reported incidents with urgency and clear communication. Analyze operational data to create dashboards and insights that inform product and support decisions. Implement and maintain tooling that improves observability, reliability, and deployment velocity. Partner closely with backend, product, and support teams to drive fast, reliable fixes and enhancements.

Responsibilities

  • Customer incidents are resolved faster and with fewer escalations.
  • Repetitive manual tasks are automated and removed from the support workflow.
  • Production monitoring surfaces actionable signals (not noise).
  • Feature requests from Sales/CS get delivered reliably and with strong quality.
  • You are trusted by customer-facing teams as the engineer who gets things done.

Requirements

  • 3-5+ years backend or full-stack software engineering experience (customer-facing or operational roles) — candidates with more experience are welcome.
  • Strong production experience in Python 3 (preferred) or another mature backend language.
  • Solid practical knowledge of relational databases (PostgreSQL) and writing performant SQL.
  • Experience in diagnosing distributed systems and triaging production incidents.
  • Comfortable working in Kubernetes environments, microservices, and asynchronous workers.
  • Experience with message systems (AMQP, RabbitMQ, Kafka, etc.) or background job systems.
  • Exposure to monitoring/observability tooling and building operational dashboards (Grafana, Prometheus, DataDog, etc.).

Nice-to-haves

  • Direct experience handling large real-time data flows or streaming telemetry.
  • Background in data intelligence, infrastructure, or a B2B SaaS company.
  • Experience building internal tooling for Customer Success or Sales Engineering.
  • Familiarity with CI/CD, infra-as-code (Terraform), and containerized deployments.
  • Strong SQL + data analysis skills for ad-hoc investigations.

Benefits

  • Competitive compensation
  • Full medical, dental, and vision insurance
  • AD&D and life insurance
  • Equity in a fast-growing SaaS company
  • Unlimited PTO
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