Jr. DevOps Engineer

Align Technologyabout 2 months ago
Raleigh, NC, United States
Remote
Contract
Junior Level (1-3 years)

Job Description

Jr. DevOps Engineer

Department: Information Technology

Employment Type: Contract

Location: US-North Carolina-Raleigh

Reporting To: Igor Pavleev

Description

Join a cross-functional DevOps team responsible for building and maintaining modern cloud infrastructure and internal platform capabilities that accelerate software delivery. You'll help deliver reliable, scalable solutions for hundreds of internal users, with a focus on system integration-especially Identity and Access Management (IAM)-plus cloud operations, automation, CI/CD, and observability.

Role expectations

  • Act as a Reliability/Support Engineer for the Identity and Access Management (IAM) platform, helping ensure availability, performance, and secure integrations.
  • Partner with project teams to design and implement IAM integration solutions (e.g., SSO, provisioning, authentication/authorization flows) across internal applications and services.
  • Build, improve, and maintain internal tools and automated processes to enable engineering teams to become more efficient and autonomous.
  • Contribute to cloud infrastructure design, deployment, and support (AWS primary), including container-based workloads and supporting platform services.
  • Automate application deployment, packaging, and other aspects of the release lifecycle using CI/CD best practices.
  • Triage, debug, and resolve issues uncovered by QA, testers, and internal clients; drive problems through to resolution with strong ownership.
  • Manage infrastructure and application changes using established change management and change control processes.
  • Strengthen observability by leveraging metrics, logs, and tracing to improve reliability and reduce mean time to recovery.
  • Collaborate frequently with Tech Leads, PMO, QA, and other stakeholders using agile methodologies (Scrum/Kanban).

What we're looking for

  • Cloud: AWS (deployment pipelines, monitoring/observability, core services)
  • IaC: Terraform
  • Containers: Docker; Kubernetes (AWS EKS preferred)
  • Automation/Scripting: Python (primary), Bash (also used)
  • Observability: Splunk (logs/tracing/metrics), SignalFX (or similar)
  • CI/CD & tooling: Bitbucket, Bamboo, Jira (and related DevOps toolchain)
  • OS: Linux servers; macOS laptops

What you'll bring (required)

  • BS/MS in Computer Science (or related field), or equivalent practical experience (MS preferred).
  • 1+ years experience in DevOps, cloud operations, or systems administration (AWS preferred).
  • Hands-on experience with AWS, especially deployment pipelines and monitoring/observability.
  • Basic understanding of CI/CD concepts and best practices; experience with Git-based workflows.
  • Programming/scripting experience in one or more of: Python, Bash, Java, JavaScript, Go, Ruby.
  • Solid understanding of Unix/Linux fundamentals and troubleshooting in production-like environments.
  • Familiarity with modern container concepts (Docker); willingness to learn Kubernetes/EKS deeply.
  • Working knowledge of foundational systems engineering concepts (load balancing, capacity, firewalls, SSL).
  • Strong communication skills (written and verbal), ability to collaborate across teams, and comfort working in agile environments.
  • Self-driven, accountable, customer-focused mindset; comfortable with ambiguity and changing priorities.

Nice to have

  • AWS certification.
  • Experience operating or administering Kubernetes clusters (EKS or similar).
  • IAM/Identity platform experience (Azure AD, Okta, Auth0, Ping Identity).
  • Experience with Windows administration.
  • Experience with distributed tracing and modern observability practices.

Leveling note

This role is well-suited for an early-career DevOps/Cloud Engineer who is eager to learn while contributing to real-world IAM reliability, cloud infrastructure operations, and release engineering.

Required Skills

Bamboo
Bitbucket
AWS
macOS
SignalFX
Jira
Kubernetes
Linux
Terraform
Python
Bash
Splunk
Docker