Platform Engineer

Machine Learning Technologies, LLC; Burlington (MA); On-site; USD 140,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a Platform Engineer to design, build, and maintain scalable cloud platforms on GCP or Alibaba Cloud. You will work with software, DevOps, security, and architecture teams to automate deployments and enforce best practices for internal developer platforms.

The role emphasizes IaC, container orchestration with Kubernetes and Docker, observability, and cloud security.

Qualifications

• 5+ years in Platform Engineering, DevOps, or SRE.
• Proficiency with IaC tools: Terraform, Pulumi, or CloudFormation/ROS.
• Hands-on with Kubernetes (GKE/ACK) and Docker.
• Experience building CI/CD pipelines with GitLab CI, GitHub Actions, Jenkins, or ArgoCD.
• Proficiency in Python, Bash, Go, or Shell.
• Knowledge of cloud networking and security practices.

Responsibilities

• Design, provision, and maintain enterprise cloud infrastructure on GCP or Alibaba Cloud using IaC.
• Develop and maintain robust CI/CD automation pipelines for deployment and testing.
• Architect and manage containerized environments with Kubernetes and Docker.
• Implement platform observability, monitoring, logging, and alerting.
• Drive cloud security, IAM, compliance, and governance across environments.
• Build self-service developer tools and platform APIs to accelerate deployments.
• Perform FinOps, capacity planning, and architecture refinement for efficiency.
• Collaborate with development teams to troubleshoot complex infrastructure challenges.
• Establish SRE practices, incident response, and operational readiness standards.
• Maintain comprehensive documentation for platform architecture and automation.

Skills

Platform engineering

Python, Bash, Go, or Shell

Cloud networking & security

Problem solving in distributed systems

Tools

Terraform

Pulumi

CloudFormation/ROS

Kubernetes (GKE/ACK)

Docker

GitLab CI

GitHub Actions

Jenkins

ArgoCD

Prometheus/Grafana/Datadog

Job description

We are looking for a Platform Engineer with deep expertise in cloud infrastructure, specializing in Google Cloud Platform (GCP) or Alibaba Cloud. In this role, you will design, build, and maintain scalable, secure, and highly available cloud platforms and developer tooling. You will collaborate closely with software engineering, DevOps, security, and architecture teams to automate deployment pipelines, enforce infrastructure best practices, and build internal developer platforms that empower engineering teams to ship software reliably and efficiently.

WHAT YOU'LL DO

• Design, provision, and maintain enterprise cloud infrastructure on Google Cloud Platform (GCP) or Alibaba Cloud using Infrastructure as Code (IaC) principles.
• Develop and maintain robust CI/CD automation pipelines for continuous deployment, automated testing, and release management.
• Architect and manage containerized environments using Kubernetes (GKE / ACK) and Docker, ensuring high availability, scalability, and resilience.
• Implement platform observability, monitoring, logging, and alerting solutions to maintain system health and proactively address performance issues.
• Drive cloud security, identity management (IAM), compliance, and governance best practices across all environments.
• Build automated self-service developer tools and platform APIs to accelerate application deployment and engineering velocity.
• Perform cloud cost optimization (FinOps), capacity planning, and architecture refinement to maximize performance and efficiency.
• Collaborate with development teams to troubleshoot complex infrastructure, network, and application deployment challenges.
• Establish operational readiness standards, incident response frameworks, and site reliability engineering (SRE) practices.
• Maintain comprehensive documentation for platform architecture, operational procedures, and automation scripts.

WHAT YOU BRING

Must Haves

• 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
• Strong proficiency with Infrastructure as Code (IaC) tools such as Terraform, Pulumi, or CloudFormation/ROS.
• Hands-on experience with container orchestration using Kubernetes (GKE or ACK) and Docker.
• Demonstrated expertise in CI/CD pipeline development using tools like GitLab CI, GitHub Actions, Jenkins, or ArgoCD.
• Proficiency in scripting and programming languages such as Python, Bash, Go, or Shell.
• Solid understanding of cloud networking (VPC, DNS, Load Balancers, Firewalls, VPN) and cloud security practices.
• Strong problem-solving skills with experience in troubleshooting distributed systems and cloud infrastructure.
• Good to Have
• Professional GCP Certifications (e.g., Professional Cloud Architect, Professional DevOps Engineer) or Alibaba Cloud Certifications (ACP / ACE).
• Experience with Service Mesh technologies (Istio, Linkerd) and GitOps tooling (ArgoCD, Flux).
• Knowledge of FinOps tools and cloud cost governance strategies.
• Familiarity with cross-cloud migration or multi-cloud deployment strategies (GCP + Alibaba Cloud).
• Experience with observability stacks such as Prometheus, Grafana, Datadog, or Google Cloud Operations / Alibaba SLS.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.