DevOps Architect

Jobgether; Oregon; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Full-time employment

Fully remote work arrangement

Work on enterprise-scale cloud infra

Job summary

Jobgether is seeking an experienced DevOps Architect to design, build, and own scalable, secure cloud infrastructure on AWS. This hands-on role blends strategic leadership with implementation, automation, and migration work, including integrating AI-powered tools and maintaining strong security standards.

You will mentor engineers while guiding cloud environments through complex builds. Remote opportunity in the United States, with influence across enterprise-scale projects.

Qualifications

• 8+ years in DevOps, SRE, or cloud infra with leadership exposure.
• Hands-on with AWS core services and cost optimization.
• Experience designing distributed, scalable, fault-tolerant systems.
• Proficient in IaC and container tech including Kubernetes.

Responsibilities

• Design scalable, secure AWS architectures for new environments and migrations.
• Lead architecture decisions for high availability, DR, multi-account topology.
• Establish IaC standards using Terraform, AWS CDK, or CloudFormation.
• Build and optimize CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, CodePipeline).
• Develop automation scripts in Python and Bash; contribute to Java/Node services as needed.
• Incorporate AI tooling into workflows and critically evaluate outputs for security and quality.
• Lead client workshops and architecture reviews, translating requirements into practical solutions.
• Implement observability with CloudWatch, Datadog, and strengthen incident response.

Skills

AWS architecture

Terraform

Python

Bash

Java/Node.js

CI/CD

Kubernetes

IaC

CloudWatch/Datadog

Security best practices

Tools

Terraform

AWS CDK

CloudFormation

GitHub Actions

GitLab CI

Jenkins

AWS CodePipeline

Job description

We are seeking an experienced DevOps Architect to design, build, and own scalable, secure, and cost-efficient cloud infrastructure on AWS. This is a hands-on architecture role combining strategic technical leadership with direct implementation, automation, and infrastructure development. You will define architectural standards, lead complex systems design decisions, and guide cloud environments through new builds and migrations. Working closely with engineering teams and client stakeholders, you will translate business requirements into reliable technical solutions and communicate architectural trade-offs clearly. You will also help modernize engineering workflows by integrating AI-powered tools into infrastructure development, automation, and troubleshooting while maintaining high standards of security and quality. This remote opportunity is ideal for a technically strong leader who enjoys solving complex challenges, mentoring engineers, and shaping cloud infrastructure at scale.

Accountabilities

• Design scalable, secure, and cost-efficient AWS architectures for new environments and cloud migrations, presenting and justifying architectural decisions to technical and non-technical stakeholders.
• Lead systems architecture decisions involving high availability, disaster recovery, multi-account strategies, network topology, performance, and resilience.
• Build, maintain, and establish standards for Infrastructure as Code (IaC) using Terraform, AWS CDK, or CloudFormation.
• Design, optimize, and maintain CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
• Develop production-grade automation scripts and engineering tools using Python and Bash, contributing to Java or Node.js services when required.
• Integrate AI coding assistants and tools, such as Claude, ChatGPT, Codex, and Copilot, into engineering workflows to accelerate infrastructure development, scripting, documentation, and troubleshooting.
• Critically evaluate AI-generated outputs to ensure security, technical correctness, reliability, and cost efficiency.
• Lead client-facing workshops, architecture reviews, and technical discussions, translating business requirements into practical solutions and clearly explaining technical trade-offs.
• Implement observability solutions using CloudWatch, Datadog, or similar platforms, while strengthening incident response and post-mortem practices.
• Embed security and compliance into infrastructure through least-privilege IAM policies, encryption, security guardrails, and relevant standards such as SOC 2, ISO, and PCI.
• Mentor engineers, share architectural expertise, and establish high technical standards across the team.

Requirements:

• 8+ years of experience in DevOps, Site Reliability Engineering (SRE), or cloud infrastructure roles, including at least 2 years in an architecture or technical leadership position.
• AWS expertise: Deep, hands-on knowledge of core AWS services and domains, including VPC networking, IAM and Organizations, EC2, ECS, Lambda, RDS, DynamoDB, S3, CloudWatch, and cloud cost optimization.
• Proven experience designing and building production-grade cloud environments, rather than simply deploying applications into existing infrastructure.
• Systems design: Strong experience designing distributed systems for scalability, resilience, and fault tolerance, with the ability to explain architectural decisions and trade-offs.
• Scripting and programming: Strong Python and Bash skills for automation, alongside working proficiency in Java or Node.js.
• AI tooling: Practical, regular use of AI assistants and coding agents in engineering workflows, with the ability to assess their limitations and validate generated outputs.
• Client communication: Experience leading client or stakeholder engagements, presenting architectures to senior leadership, managing expectations, and challenging technically unsound requirements when necessary.
• Hands-on experience with Infrastructure as Code and container technologies, including Kubernetes.
• Strong technical leadership, problem-solving, communication, and mentoring skills.
• Nice to have: AWS Certified Solutions Architect - Professional or AWS Certified DevOps Engineer - Professional.
• Nice to have: Kubernetes certifications such as CKA or CKAD.
• Nice to have: Background in consulting or professional services.
• Nice to have: Experience integrating AI or large language model (LLM) capabilities into internal tools or engineering pipelines.
• Nice to have: Exposure to multi-cloud environments, particularly Azure or Google Cloud Platform (GCP).

Benefits:

• Full-time employment.
• Fully remote work arrangement.
• Opportunity to work on enterprise-scale cloud infrastructure and advanced AI-enabled engineering workflows.
• Inclusive workplace committed to equal employment opportunities and diversity.