Senior Platform Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Design, develop, deploy, and operate automation for platforms, internal engineering tools, and platform services.

• Create production-quality services, APIs, workflows, and integrations utilizing Python.

• Develop integrations with cloud services, security tools, GitHub, Jira, and other enterprise systems.

• Implement automation for operational processes, infrastructure management, workflow orchestration, and developer empowerment.

• Create AI-enabled features for code analysis, workflow automation, vulnerability remediation, and enhancing engineering productivity.

• Develop and manage Infrastructure as Code using Terraform and associated automation frameworks.

• Design and maintain CI/CD pipelines using GitHub Actions, Azure DevOps, or comparable platforms.

• Employ SRE practices such as observability, incident response, SLIs, SLOs, and root cause analysis.

• Diagnose issues across applications, APIs, cloud infrastructure, CI/CD pipelines, and platform services.

• Enhance platform reliability, scalability, security, performance, and operational efficiency through automation and engineering best practices.

⛳️ Requirements

• Over 8 years of experience in Software Engineering, Platform Engineering, SRE, DevOps, Cloud Engineering, or similar roles.

• Proficient hands-on programming experience, ideally with Python.

• Experience in designing and building production services, automation frameworks, APIs, developer tools, or platform solutions.

• Strong grasp of software design, debugging, error handling, and maintainable code practices.

• Experience in integrating systems using REST APIs, webhooks, messaging systems, event-driven architectures, or workflow automation.

• Proficient with Git, pull-request workflows, code reviews, and contemporary software development practices.

• Familiar with AI-assisted engineering tools and integrating AI functionalities into applications or automation workflows.

• Experience with AWS, Azure, or another leading cloud platform.

• Practical experience with Terraform, Infrastructure as Code, and CI/CD platforms such as GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.

• Strong troubleshooting abilities across applications, cloud infrastructure, networking, production systems, and SRE practices including monitoring, alerting, incident response, SLIs, and SLOs.

• Experience with vulnerability management or security automation tools such as Snyk, StackHawk, Orca, or similar solutions.

• Proven experience in developing AI-powered engineering solutions, intelligent automation platforms, or AI-assisted developer tools.

• Experience in creating internal developer platforms and self-service engineering capabilities.

• Familiarity with Kubernetes, containers, and cloud-native architectures.

• Awareness of policy-as-code, compliance automation, and governance frameworks.

• Experience with observability platforms such as Datadog, Splunk, Grafana, Prometheus, or OpenTelemetry.

🏝️ Benefits

• An inclusive workplace dedicated to respecting, supporting, and inspiring every individual.

• Equal Opportunity Employer.

• Recognized as one of the Best Workplaces for Women and for Inclusive Practices.