Senior Platform Engineer -AI / Platform Lead

Senior Platform Engineer / Platform Lead- AI

About the Role

We are looking for a hands-on Senior Platform Engineer / Platform Lead to drive platform engineering, developer experience, and technical ownership across the software development lifecycle—from local development to production.

In this role, you will build shared engineering capabilities, establish practical developer workflows, and create reliable, reusable solutions that help product engineering teams build, test, deploy, and operate software faster and more confidently.

You will combine deep technical execution with cross-team technical leadership, improving engineering productivity, delivery reliability, and operational excellence. This is an opportunity to shape the platform roadmap, influence engineering standards, and help establish a scalable platform function that evolves with the organization.

Key Responsibilities

• Drive the platform roadmap: Define and execute a practical roadmap spanning CI/CD, release automation, infrastructure, environments, observability, developer tooling, and engineering productivity.
• Build developer paved roads: Develop internal tools, reusable templates, automation, and standardized workflows that simplify common engineering tasks and make best practices easy to adopt.
• Improve developer experience: Identify and eliminate friction across local development, testing, deployment, environment management, and production troubleshooting.
• Strengthen delivery reliability: Implement automated validation, quality gates, release guardrails, and faster feedback loops to improve software quality and release confidence.
• Partner with engineering teams: Work closely with product engineers to understand their challenges and translate recurring delivery bottlenecks into scalable platform improvements.
• Apply a platform-as-a-product mindset: Treat engineering teams as internal customers, prioritizing usability, adoption, reliability, and measurable business impact.
• Measure engineering effectiveness: Use DORA metrics, developer experience (DX) indicators, and engineering productivity data to identify bottlenecks, guide prioritization, and track improvements.
• Enable AI-first engineering: Introduce practical AI-assisted workflows for coding, debugging, testing, code reviews, and documentation using tools such as Claude Code, AI coding agents, MCP-connected workflows, and LLM-based automation.
• Raise engineering standards: Provide technical guidance through architecture and design reviews, code reviews, pairing, documentation, and hands-on examples.
• Provide technical leadership: Drive cross-functional initiatives, influence engineering decisions, and establish technical direction, with the potential to grow into formal platform leadership as the function matures.

Required Qualifications

• 7+ years of experience in platform engineering, developer experience, engineering productivity, internal tooling, DevOps, or a related software engineering discipline.
• Experience building, establishing, or significantly improving a shared engineering platform or platform engineering function.
• Strong hands-on engineering skills and the ability to design, build, deploy, and operate the systems and tools you advocate for.
• Demonstrated experience developing internal tools, reusable automation, engineering templates, standardized delivery workflows, or developer paved roads adopted by engineering teams.
• Strong understanding of CI/CD, release automation, infrastructure, observability, environment management, and production operations within a SaaS environment.
• Hands-on experience with AWS is required, including building and operating cloud infrastructure and services in production.
• Ability to identify systemic engineering challenges, define practical solutions, and drive technical initiatives across multiple teams.
• Strong communication and collaboration skills, with the ability to build trust among engineers, technical leaders, and cross-functional stakeholders.
• A pragmatic approach to AI-assisted development, with an emphasis on improving real engineering workflows, quality, and productivity rather than adopting tools for their own sake.

Technology Stack and Tools

AWS expertise is mandatory. Candidates should have hands-on experience building and operating production workloads on AWS, including services such as VPC, ECS, EC2, S3, IAM, Lambda, and CloudWatch.

Strong candidates will also bring experience with several of the following technologies:

• Programming: Go, Python, C#, or similar languages used for platform engineering and internal tooling.
• Containers and orchestration: Docker, Kubernetes, ECS, or comparable container platforms.
• Infrastructure as Code: Terraform or equivalent infrastructure provisioning and configuration tools.
• CI/CD and deployment: Jenkins, GitLab CI/CD, GitHub Actions, Argo CD, or comparable delivery platforms.
• Observability: Datadog, Amazon CloudWatch, Grafana, or similar monitoring, logging, tracing, and alerting platforms.
• Engineering productivity: DORA metrics, developer experience measurement, and tools such as LinearB, GetDX, or similar platforms.
• AI-enabled engineering: Claude Code, AI coding agents, LLM integrations, MCP, tool calling, and workflow automation.

Preferred Qualifications

• Production-grade Go development experience.
• Experience modernizing or supporting legacy C#/.NET applications, particularly within Windows-based environments.
• Familiarity with TypeScript, React, or frontend engineering platforms.
• Experience building internal developer portals, service scaffolding, golden paths, or self-service engineering capabilities.
• Experience modernizing legacy systems within a mature, production SaaS environment.
• Background in fintech, payments, accounting, eCommerce, property development or management, or other transaction-intensive business domains.
• Experience with security controls, identity and access management, compliance-aware delivery, or policy-as-code.

What Success Looks Like

• Engineering teams have clear, reliable, and easy-to-use paths for building, testing, deploying, and operating services.
• CI/CD pipelines, development environments, and release processes become more consistent, efficient, and dependable.
• Observability and production feedback loops enable faster troubleshooting and more confident releases.
• AI-assisted development workflows are practical, repeatable, and trusted, with measurable improvements in engineering productivity and software quality.
• Platform investments are prioritized according to actual engineering needs, adoption, and measurable outcomes.
• Engineering teams increasingly rely on self-service tools and standardized workflows, reducing repetitive work and operational friction.

Work Model and Location

We are based in the New York area and hire across the U.S. East Coast, aligned with New York working hours.

We value in-person collaboration while recognizing that great engineers may live outside the New York metropolitan area.

This role offers the opportunity to combine hands-on engineering with meaningful technical ownership, shape the developer experience, and build the platform capabilities that enable engineering teams to scale effectively.

WHY JOIN US

Matrix is a global, dynamic, and fast‑growing technology services and consulting company with over 17,000 employees worldwide. Founded in 2001, Matrix has grown through significant organic expansion and strategic acquisitions, executing some of the largest and most impactful technology projects in the market.

We specialize in the design, development, and implementation of advanced technologies, software solutions, and digital products. Our services include infrastructure and consulting, IT outsourcing and offshore delivery, training and assimilation programs, and acting as a trusted implementation and delivery partner for the world’s leading software vendors.

With deep expertise across both the private and public sectors—spanning Finance, Telecom, Healthcare, Hi‑Tech, Education, Defense, and Security—Matrix serves a strong customer base in Israel alongside a continuously expanding global client portfolio.

At Matrix, our people are at the heart of our success. We are a community of talented, creative, and dedicated professionals who are passionate about innovation and excellence. We actively attract, develop, and retain top talent, recognizing that every employee’s contribution is critical to our continued growth and future success.

Matrix’s success is built on a challenging and engaging work environment, competitive compensation and benefits, and meaningful career development opportunities. We foster a diverse, inclusive culture that encourages collaboration, continuous learning, and growth—together.

Join the winning team. Be challenged, grow your career, and enjoy the journey in a highly respected global organization.

To learn more, visit: www.matrix-ifs.com

EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.