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Senior DevOps Engineer
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About this role
Role overview Build and operate the infrastructure behind a network platform that helps organizations model and automate their networks. As a senior DevOps engineer on the observability team, you will support discovery, network assurance, telemetry collection, and data ingestion across both hosted and customer-managed deployments. The work spans cloud infrastructure, Kubernetes, delivery pipelines, and monitoring at large scale.
Responsibilities - Provision and operate AWS and Kubernetes environments using infrastructure as code and automation. - Build and maintain CI/CD pipelines and tooling that help developers ship reliably. - Own the reliability of deployed infrastructure and the observability stack. - Support services that collect and ingest network discovery and telemetry data, including systems used across globally distributed environments. - Work closely with product engineers on production readiness and operational improvements. - Use AI coding tools as part of day-to-day engineering work.
Requirements - Strong experience in DevOps, SRE, or platform engineering, including AWS, EKS, and Kubernetes. - Hands-on infrastructure-as-code experience with Terraform and Helm. - CI/CD experience, preferably with GitHub Actions. - Familiarity with observability tools such as Prometheus, Grafana, Mimir, Loki, and OpenTelemetry. - Ability to script in Python, Go, or shell; experience with event streaming, change-data capture, or multi-tenant observability is relevant. - Strong written communication and documentation skills, C1-level English, and availability for an on-call rotation with some overlap with US East Coast hours. - Comfort working in a fast-moving environment and regular use of AI coding tools.
Nice to have Experience with security-focused environments such as SOC 2, MQTT or AMQP messaging, network automation or source-of-truth systems, open-source contributions, or B2B software startups.
Benefits and work setup Flexible remote, office, or hybrid work; flexible hours; a training budget and internal learning sessions; hands-on onboarding; and the option to move to a different project.