Senior Platform Engineer I
We are looking for a Senior Platform Engineer who will work with senior management, Platform Engineering, QA and development teams to continuously improve the stability, reliability and efficiency of our global SaaS platform through automation solutions and platform tools. This individual will contribute to building the software, automation frameworks, and systems that make our production environment more resilient, enable self-service capabilities, and reduce operational toil through code.
What you will do:
- Design, develop, and maintain automation tools and platform capabilities using Go, Python, or similar. languages to help eliminate manual toil and build self-service components across infrastructure, observability, reliability, and security domains.
- Build and enhance internal tools, integrations, and workflows that improve operational efficiency and developer productivity within the SaaS platform.
- Develop and support automation frameworks for incident response, infrastructure testing, monitoring optimization, and compliance validation including CI/CD pipeline enhancements.
- Help develop observability and monitoring solutions including setting up alerts, contributing to noise reduction systems, automated SLO management, and cost optimization.
- Partner closely with SaaS Engineering to deploy application and infrastructure updates using automation tools.
- Available for on-call duties for incident response, blameless postmortems, and helping translate learnings into automated solutions.
- Contribute to build playbook documentation and procedures.
What we are looking for:
- 5-8 years of experience in software development, platform engineering, SRE, or DevOps with hands-on experience building and maintaining software in production environments.
- Strong programming skills in Go, Python, or similar languages with with experience developing internal tools, automation systems, or developer-facing utilities.
- Strong understanding of Linux fundamentals and ability to design code-based solutions.
- Familiarity with Kubernetes, container technologies, AWS/GCP/Azure, Infrastructure as Code tools (Terraform / CloudFormation / Ansible) , Git, and basic CI/CD concepts.
- Understanding of APIs, microservices, and distributed systems concepts.
- Understanding of SRE principles, SaaS service management, and 24x7 production environment operations
- Experience contributing to automation projects, internal tools, or monitoring implementations (i.e. Datadog, Prometheus, Grafana, Backstage) is a plus.
- Experience with Kubernetes operators, controllers, or orchestration concepts is a plus.
- FedRAMP, SOC2, or compliance framework exposure is a plus.
