Platform & Infra Software Engineer (Python/Go)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Platform & Infra Software Engineer (Python/Go): Building and evolving observability and data infrastructure platforms to support global growth with an accent on monitoring, metrics, and alerting systems. Focus on designing scalable metric pipelines, improving system resilience via automation, and reducing developer friction across distributed environments.
Location: Distributed environment; Candidates must be eligible to access controlled technology under U.S. export control laws (EAR)
Company
is an AI-powered cybersecurity company focusing on protecting organizations from sophisticated email attacks.
What you will do
- Design and deliver platform features for observability using Prometheus, Chronosphere, Grafana, and PagerDuty.
- Own the reliability, performance, and evolution of data infrastructure services such as Airflow and Spark.
- Develop internal developer tooling and APIs to streamline deployment and reduce operational toil for engineering teams.
- Participate in on-call rotations to triage and resolve production issues across US, EU, and GovCloud environments.
- Collaborate with product and engineering stakeholders to translate needs into scalable platform capabilities.
- Mentor junior engineers and raise the bar of engineering excellence through code reviews and technical design docs.
Requirements
- 4+ years of experience in backend engineering and designing production-grade distributed systems.
- Strong proficiency in Python and working proficiency in Golang.
- Experience building systems that process data at scale (metric ingestion, stream/batch processing).
- Proven track record of owning a service end-to-end from design through deployment and monitoring.
- Expertise in fault tolerance patterns and incident response capability.
- Eligibility to access controlled technology under U.S. export control laws (EAR)
Nice to have
- Hands-on experience with PromQL, Grafana dashboards, and commercial platforms like Datadog or Honeycomb.
- Proficiency with AWS services (EKS, S3, RDS, Lambda) and Kubernetes (K8s).
- Experience with Infrastructure-as-Code tools like Terraform or Pulumi and CI/CD pipelines.
- Knowledge of Django, gRPC, or protobuf for microservices communication.
- Experience leading small teams or building internal developer platforms.
Culture & Benefits
- Async-first, distributed work culture with a heavy emphasis on strong written communication.
- Collaborative environment focused on engineering excellence and knowledge sharing.
- Equal opportunity employer with a comprehensive EEO policy.
- Opportunity to drive architectural decisions that impact the productivity of the entire engineering organization.
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