DevOps Engineer

Machine Learning Technologies, LLC; Boston (MA); On-site; USD 120,000 - 160,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking an experienced Cloud Infrastructure Specialist to deploy, manage, and maintain cloud infrastructure across AWS, Azure, and GCP while ensuring government workload compliance.

You will automate provisioning with IaC tools, optimize performance, build self-healing scripts, and guide secure, resilient deployments in staging and production. The role requires strong collaboration with development teams and adherence to FedRAMP and NIST controls.

Responsibilities

• Deploy, manage, and maintain cloud infrastructure across AWS, Azure, and GCP while ensuring compliance for government workloads.

Job description

Cloud Infrastructure Management Deploy| manage| andmaintain cloud infrastructure across AWS| Azure| and or GCP| ensuring compliance for government workloads.

Infrastructure Automation

Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform| OpenTofu | or AWS CloudFormation. Deployment Pipeline Streamlining Collaborate with development teams to streamline CICD pipelines using tools such as GitLab and OpenTofu for efficient infrastructure and application delivery.

Performance Optimization

Monitor system performance| participate in capacity planning| and optimize application and infrastructure performance by tuning configurations and identifying bottlenecks.

Automation Development

Develop scripts and tools to automate routine operations| including patching| scaling| and monitoring. Self-Healing Systems Design and implement self-healing systems that proactively detect and resolve faults.

Data Integrity Availability

Manage backup and disaster recovery strategies to ensure data integrity and availability across environments.

Security Compliance

Perform regular security audits and vulnerability patching| adhering to government compliance requirements (e.g.| FedRAMP| NIST).

This role is pivotal in managing and optimizing staging and production deployment environments across Google Cloud Platform (GCP)| Amazon Web Services (AWS)| and Microsoft Azure

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.