Senior Platform Engineer: Cloud, Security & Automation

Epsilon ASI; Denver (CO); Hybride; USD 130 000 - 180 000; Plein temps

Résumé du poste

Epsilon ASI Corp. seeks a Senior Platform Engineer to design, build, and scale core cloud infrastructure and platform systems. This hands-on role intersects cloud architecture, reliability, automation, and security for a fast-growing organization.

You will implement scalable infrastructure, manage Terraform-based environments, and drive CI/CD with GitHub Actions, while embedding compliance with NIST and related standards into all workflows.

Qualifications

• 3+ years of professional experience in platform engineering or DevOps roles.
• Hands-on experience designing and managing cloud infrastructure (preferably AWS).
• Proven professional experience with Terraform and infrastructure-as-code.
• Experience building, maintaining, and optimizing CI/CD automation.

Responsabilités

• Architect, implement, and optimize scalable cloud infrastructure solutions.
• Deploy and manage infrastructure using Terraform and infrastructure-as-code best practices.
• Automate operational processes, monitoring, and deployments with modern CI/CD pipelines (e.g., GitHub Actions).
• Identify, remediate, and prevent security vulnerabilities across cloud and application stacks, including containers.
• Collaborate with engineering teams to integrate security, compliance, and reliability into the software development lifecycle.
• Evaluate and improve cloud security controls aligned with NIST and other relevant compliance frameworks.
• Monitor and troubleshoot cloud infrastructure, applications, and networking components for performance and reliability.
• Contribute to technical decisions around architecture, tool selection, and infrastructure improvements.
• Support continuous improvement of security posture and compliance programs.

Connaissances

Go/Python/Bash

Problem-solving

Analytical thinking

Independent worker

Outils

Terraform

GitHub Actions

AWS

Kubernetes

Description du poste

Help build the platforms that the world's best teams rely on.

Our work starts with the real artifacts of engineering: architecture notes, pull requests, runbooks, dashboards, incidents, and the constraints teams face every day. We make that context visible, then help turn it into systems that are clearer, stronger, and easier to operate.

We work from artifacts

Architecture notes, pull requests, runbooks, dashboards, incidents, and the actual constraints your team works inside.

We make context visible

The block gives the page more texture without making it feel like a stock-photo agency site.

Embark on a rewarding journey with us. Find opportunities to grow, learn and make a lasting impact.

Join a team that embraces forward-thinking ideas, fosters innovation, and cultivates an environment where your creativity can flourish.

People-First Mindset:

We think deeply about the real-world impact of every solution on teams, customers, and stakeholders.

Technical Integrity

Our work is grounded in best practices, thoughtful design, and sustainable engineering.

Long-Term Perspective

We’re invested in outcomes that endure, not quick fixes that falter.

A practical process for practical engineers.

The interview path should feel like the work: clear communication, systems thinking, technical judgment, and the ability to collaborate without ego.

01

A lightweight conversation about your background, what you want next, and the kinds of platform problems you like solving.

02

Walk through a real platform scenario and talk about tradeoffs, sequencing, observability, reliability, and team enablement.

03

Working session

Pair on a small practical exercise or artifact: architecture notes, implementation plan, review, or operational improvement.

04

Discuss role shape, expectations, compensation, client work, team norms, and how you do your best engineering work.

What working here should feel like

The benefits are designed around focus, trust, craft, and the reality that deep engineering work needs room.

Room for architecture, implementation, writing, review, and careful technical judgment.

A team that values context, humility, strong opinions, and better systems.

Work directly on the platform constraints that are slowing real engineering teams down.

Craft and learning

Kubernetes, cloud, modernization, AI workflows, and delivery systems in production contexts.

We care about secrets, access, change safety, auditability, and operational guardrails.

Modern tools

Use automation and AI carefully, with bounded context and human approval.

No mystery process, no puzzle interviews.

Open Positions

Be a part of a winning culture that fosters collaboration, creativity, and success in every career path

Location

Employment Type

Full time

Location Type

Hybrid

Department

About the Role

We are seeking a Senior Platform Engineer to drive the design, development, and scalability of our core cloud infrastructure and platform systems. This is a hands-on role at the intersection of cloud architecture, reliability, automation, and security. You will play a key part in building and maintaining robust, secure, and compliant environments, ensuring our systems meet the needs of a dynamic, fast-growing organization.

What You'll Do

Architect, implement, and optimize scalable cloud infrastructure solutions.

Deploy and manage infrastructure using Terraform and infrastructure-as-code best practices.

Automate operational processes, monitoring, and deployments with modern CI/CD pipelines (e.g., GitHub Actions).

Identify, remediate, and prevent security vulnerabilities across cloud and application stacks, including containers.

Collaborate with engineering teams to integrate security, compliance, and reliability into the software development lifecycle.

Evaluate and improve cloud security controls aligned with NIST and other relevant compliance frameworks.

Monitor and troubleshoot cloud infrastructure, applications, and networking components for performance and reliability.

Contribute to technical decisions around architecture, tool selection, and infrastructure improvements.

Support continuous improvement of security posture and compliance programs.

What We're Looking For

3+ years of professional experience in platform engineering or DevOps roles.

Proven professional experience with Terraform and infrastructure-as-code.

Hands-on experience designing and managing cloud infrastructure (preferably AWS).

Strong foundation in cloud security, vulnerability remediation, and infrastructure reliability.

Experience building, maintaining, and optimizing CI/CD automation.

Solid programming or scripting ability (e.g., Go, Python, Bash).

Experience identifying and resolving container and cloud infrastructure vulnerabilities.

Familiarity with compliance standards (e.g., NIST, SOC 2, FedRAMP) and their technical requirements.

Strong analytical, troubleshooting, and problem-solving skills.

Ability to work independently and in cross-functional, remote engineering teams.

Preferred Qualifications

Experience managing or maintaining regulated/FedRAMP-compliant environments.

Direct experience with AWS security services and controls.

Experience with Kubernetes and container security.

Experience with vulnerability management and automated security testing.

Experience supporting government or highly regulated clients.

What Will Set You Apart

We’re looking for candidates who can architect, troubleshoot, and operationalize core infrastructure in cloud environments—balancing reliability, compliance, and performance. You will thrive if you have experience going beyond compliance checkboxes to implement and scale robust, secure systems, and are eager to take on increasing technical and organizational responsibility as our organization grows.

This role offers considerable growth potential. As our environment and engineering teams scale, this position provides a unique path toward ongoing technical leadership and broader architecture responsibilities.

Sending prompts to hosted AI APIs means your source code, customer data, and internal documents leave your perimeter, protected only by a vendor’s promise. This post makes the blunt case for running open-weight models in your own cloud account, using Kimchi for the model layer and spend controls and Cast AI to autoscale GPUs on demand. It covers the real costs and objections, a way to check the economics on your own workload, and a six-step rollout starting with your most sensitive data.

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Tool-using AI agents need more than prompt guidance. If an action can create a real side effect, enforcement should live in executable policy that can allow, deny, stop, or escalate before the tool call happens.

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