DevOps Architect

Jobgether; United States; Remoto; USD 150.000 - 210.000; Tempo pieno

Vantaggi offerti da questo lavoro

Full-time employment

Fully remote work arrangement

Enterprise-scale cloud infrastructure

Diversity and inclusive workplace

Descrizione del lavoro

Jobgether is seeking an experienced DevOps Architect in the United States to design and own scalable, secure cloud infrastructure on AWS. This remote role blends strategic leadership with hands-on implementation, automation, and modernization of workflows, including AI tooling integration.

You will guide architectural decisions, mentor engineers, and work closely with clients to deliver reliable, cost-efficient solutions.

Competenze

• 8+ years in DevOps, SRE, or cloud infra roles, including at least 2 years in leadership.
• Hands-on AWS with core services and cloud cost optimization.
• Proven experience designing production cloud environments.
• Strong systems design for scalable, resilient architectures.
• Scripting in Python and Bash; working knowledge of Java or Node.js.
• Practical use of AI tools in engineering workflows; ability to assess limits.
• Experience leading client/stakeholder engagements and architecture reviews.
• Hands-on IaC and container tech experience, including Kubernetes.
• Strong leadership, problem-solving, and mentoring skills.
• Nice to have: AWS Pro/Solutions Architect or DevOps Pro; CKAs/CKADs.

Mansioni

• Design scalable, secure, and cost-efficient AWS architectures for new environments and migrations.
• Lead architecture decisions for high availability, DR, multi-account networks, and performance.
• Establish standards for IaC using Terraform, CDK, or CloudFormation.
• Design and maintain CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins, or CodePipeline.
• Develop production-grade automation with Python and Bash; contribute to services in Java/Node.js.
• Integrate AI assistants into workflows to accelerate infrastructure work and scripting.
• Evaluate AI outputs for security, reliability and cost efficiency.
• Lead client workshops and architecture reviews, translating requirements into practical solutions.
• Implement observability with CloudWatch, Datadog, and related tools; improve incident response and post-mortems.
• Embed security/compliance via least-privilege IAM, encryption, and standards like SOC 2/ISO/PCI.
• Mentor engineers and set high technical standards across the team.

Conoscenze

AWS

Python

Bash

Java/Node.js

Kubernetes

Terraform

CI/CD

IAM & security

Leadership

Client communication

Strumenti

Terraform

AWS CDK

CloudFormation

GitHub Actions

GitLab CI

Jenkins

AWS CodePipeline

Datadog

CloudWatch

Descrizione del lavoro

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a DevOps Architect based in United States .

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 limits 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.

How Jobgether Works

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice:

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.