Senior Platform Engineer – AI/Platform Lead

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

📋 Description

• Define and implement the platform roadmap encompassing CI/CD, release automation, infrastructure, environments, observability, developer tools, and engineering productivity.

• Create internal tools, reusable templates, automation processes, and standardized workflows.

• Enhance the developer experience in areas such as local development, testing, deployment, environment management, and production troubleshooting.

• Establish automated validation, quality gates, release guardrails, and expedited feedback loops.

• Collaborate with product engineers to convert delivery bottlenecks into scalable platform enhancements.

• Consider engineering teams as internal customers, focusing on usability, adoption, reliability, and measurable impact.

• Leverage DORA metrics, developer experience indicators, and engineering productivity data to pinpoint bottlenecks and monitor improvements.

• Introduce AI-assisted workflows for coding, debugging, testing, code reviews, and documentation processes.

• Offer technical guidance through architecture and design reviews, code reviews, pair programming, documentation, and hands-on demonstrations.

• Lead cross-functional initiatives, influence engineering decisions, and set the technical direction.

• Develop platform capabilities that empower engineering teams to build, test, deploy, and operate services with reliability.

⛳️ Requirements

• Over 7 years of experience in platform engineering, developer experience, engineering productivity, internal tooling, DevOps, or related software engineering fields.

• Proven experience in constructing, establishing, or significantly enhancing a shared engineering platform or platform engineering function.

• Strong hands-on engineering capabilities to design, build, deploy, and manage advocated systems and tools.

• Experience in developing internal tools, reusable automation, engineering templates, standardized delivery workflows, or developer-paved roads utilized by engineering teams.

• In-depth understanding of CI/CD, release automation, infrastructure, observability, environment management, and production operations in a SaaS context.

• Hands-on experience with AWS is essential, including building and managing production cloud infrastructure and services.

• Familiarity with AWS services such as VPC, ECS, EC2, S3, IAM, Lambda, and CloudWatch.

• Capability to identify systemic engineering challenges, propose practical solutions, and drive technical initiatives across multiple teams.

• Excellent communication and collaboration skills.

• A pragmatic approach to AI-assisted development.

• Experience with various relevant technologies, including programming languages like Go, Python, or C#, container platforms, infrastructure as code, CI/CD platforms, observability platforms, engineering productivity tools, and AI-enabled engineering tools.

• Preferred qualifications include production-grade experience with Go, C#/.NET and Windows environments, TypeScript, React, developer portals, legacy modernization, transaction-intensive domains, security controls, IAM, compliance-aware delivery, or policy-as-code.

🏝️ Benefits

• Competitive salary and benefits package.

• Significant career development opportunities.

• A diverse and inclusive workplace culture.

• Opportunities for continuous learning and growth.

• In-person collaboration opportunities.