About The Position
We are seeking a Senior Platform Engineer II with strong background in Platform Engineering, Site Reliability Engineering (SRE), DevOps, or Cloud Engineering. This is a hands-on engineering role focused on building platform services, automation solutions, AI-enabled engineering capabilities, integrations, and operational tooling that enable secure, reliable, and scalable software delivery. You will develop production-quality solutions, while contributing to cloud infrastructure, CI/CD automation, reliability engineering, and developer productivity initiatives.
Requirements
- 8+ years of experience in Software Engineering, Platform Engineering, SRE, DevOps, Cloud Engineering, or related roles.
- Strong hands-on programming experience, preferably with Python.
- Experience designing and building production services, automation frameworks, APIs, developer tools, or platform solutions.
- Strong understanding of software design, debugging, error handling, and maintainable code.
- Experience integrating systems using REST APIs, webhooks, messaging systems, event-driven architectures, or workflow automation.
- Experience with Git, pull-request workflows, code reviews, and modern software development practices.
- Experience using AI-assisted engineering tools and integrating AI capabilities into applications or automation workflows.
- Experience with AWS, Azure, or another major cloud platform.
- Hands-on experience with Terraform, Infrastructure as Code, and CI/CD platforms such as GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.
- Strong troubleshooting skills across applications, cloud infrastructure, networking, production systems, and SRE practices including monitoring, alerting, incident response, SLIs, and SLOs.
Nice To Haves
- Experience with vulnerability management or security automation platforms such as Snyk, StackHawk, Orca, or similar tools.
- Experience building AI-powered engineering solutions, intelligent automation platforms, or AI-assisted developer tools.
- Experience building internal developer platforms and self-service engineering capabilities.
- Experience with Kubernetes, containers, and cloud-native architectures.
- Familiarity with policy-as-code, compliance automation, and governance frameworks.
- Experience with observability platforms such as Datadog, Splunk, Grafana, Prometheus, or OpenTelemetry.
Responsibilities
- Design, develop, deploy, and operate platform automation, internal engineering tools, and platform services.
- Build production-quality services, APIs, workflows, and integrations using Python.
- Develop integrations with cloud platforms, security tools, GitHub, Jira, and other enterprise systems.
- Build automation for operational processes, infrastructure management, workflow orchestration, and developer enablement.
- Build AI-enabled capabilities for code analysis, workflow automation, vulnerability remediation, and engineering productivity.
- Develop and maintain Infrastructure as Code using Terraform and related automation frameworks.
- Design and support CI/CD pipelines using GitHub Actions, Azure DevOps, or similar platforms.
- Apply SRE practices including observability, incident response, SLIs, SLOs, and root cause analysis.
- Troubleshoot issues across applications, APIs, cloud infrastructure, CI/CD pipelines, and platform services.
- Improve platform reliability, scalability, security, performance, and operational efficiency through automation and engineering best practices.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
