We're seeking a Cloud Engineer to join our platform engineering team as an embedded member of development squads. In this role, you'll work directly alongside application developers, enabling their success through self-service infrastructure platforms, GitOps automation, and AI-powered tooling. You'll manage infrastructure supporting 4,000+ EKS workloads in AWS while building the next generation of developer-focused platforms that dramatically increase velocity.

This isn't a traditional infrastructure role. You'll be a strategic partner to developers, guiding cloud architecture decisions, building automation that eliminates toil, and leveraging AI to accelerate both infrastructure and application delivery.

What you'll do:

Platform Development & Developer Enablement

• Build and maintain self-service infrastructure platforms that empower developers to provision and manage their own AWS resources
• Work embedded within development squads as their cloud infrastructure guide and strategic partner
• Design and implement reusable Terraform modules that enable consistent, scalable infrastructure patterns
• Develop AI-powered automation tools that increase team velocity and reduce manual operational overhead
• Create developer-friendly abstractions over complex infrastructure using GitOps workflows

Infrastructure as Code & GitOps

• Implement GitOps practices using ArgoCD and Helm for automated deployments across EKS clusters
• Build and maintain modular Terraform infrastructure supporting EKS, RDS PostgreSQL, Aurora PostgreSQL, and core AWS services
• Leverage AI tools to accelerate Terraform module development, code review, and documentation
• Design Terraform module libraries that balance flexibility with guardrails
• Establish CI/CD pipelines that enable developers to safely deploy infrastructure changes

Cloud Architecture & Collaboration

• Partner with developers to design cloud-native architectures optimized for AWS
• Guide infrastructure decisions within development squads, translating application requirements into scalable AWS solutions
• Collaborate with Cloud Architects and Security teams on infrastructure patterns and best practices
• Implement highly available, scalable, and self-healing systems

Automation & Velocity

• Develop Python and Bash automation that eliminates repetitive operational tasks
• Strategically apply AI tools (code generation, infrastructure optimization) to accelerate delivery
• Build monitoring, logging, and observability solutions that provide developers insight into their infrastructure
• Continuously improve speed, efficiency, and scalability through automation-first thinking

What you should have:

Technical Skills

• 5+ years in Cloud/Platform Engineering/SRE/DevOps roles with production AWS experience
• Strong GitOps mindset with hands-on experience using ArgoCD, FluxCD, or similar tools
• Kubernetes expertise (4+ years) managing EKS clusters in production environments
• PostgreSQL experience with RDS PostgreSQL and Aurora PostgreSQL in production
• Experience using AI coding assistants (GitHub Copilot, Claude, Cursor, or similar) for infrastructure code development
• Advanced Terraform skills including:

Designing and implementing modular, reusable Terraform code

Building Terraform module libraries

Managing complex AWS infrastructure as code

Understanding of Terraform best practices and state management

• Deep AWS knowledge: VPC, IAM, EKS, RDS, Aurora, S3, Security Groups, networking
• Proficient in Helm chart development and management
• Advanced Python scripting for automation and tooling (beyond basic scripts)
• Bash/Shell scripting proficiency
• CI/CD pipeline experience (GitLab CI preferred)
• Linux administration background (4+ years)

Essential Mindset & Approach

• Self-service platform thinking - instinct to build tools that enable others
• Cloud-native design mindset - architecting for AWS from the ground up
• Automation-first approach - proven track record of eliminating toil through tooling
• Systems thinking - understanding how components interact in complex distributed systems

Soft Skills (Critical)

• Exceptional communication with developers - ability to translate technical concepts and collaborate effectively · Embedded squad experience - comfortable working directly within development teams as their infrastructure guide
• Excellent follow-through - strong task completion orientation and reliability
• Collaborative mindset - team-first approach, not siloed thinking
• Strategic guidance ability - can help developers make informed AWS infrastructure decisions
• Experience working in Agile development environments

Preferred Qualifications

• Experience building developer self-service platforms or internal developer platforms (IDP)
• Hands-on experience with AI coding assistants for Terraform/Python development, AI-driven infrastructure analysis, or LLM-based automation workflows
• AWS Well-Architected Framework knowledge
• Experience with observability platforms (Datadog, Prometheus, Grafana)
• Background in platform engineering or SRE disciplines
• Understanding of building and managing large-scale distributed systems
• Experience with messaging technologies (AmazonMQ, RabbitMQ, Kafka)
• Incident management and root cause analysis experience
• Prior experience as an embedded infrastructure engineer within development teams
• What Makes This Role Different
• You'll be a force multiplier for development teams, building platforms and automation that let developers move fast while maintaining reliability and security. Your success is measured by developer velocity, reduced operational toil, and the quality of self-service tools you create.
• Work Requirements
• Hybrid or Remote (Utah preferred, open to other locations)
• Occasional availability during maintenance windows
• On-call rotation support for production infrastructure

We're looking for engineers who are excited about empowering developers, obsessed with automation, and think in terms of platforms. If you love building tools that make others more productive, we want to talk to you.

Are you a Staff Software Development Engineer in Test? This is the job for you !  

What you’ll do

We are looking for a driven Quality Assurance (QA) Lead and Automation Architect for Neurons UEM (Unified Endpoint Management) E2E Team -Lead the Neurons E2E team thereby driving the team and product to success.

who will be able to perform regular E2E Testing of all products and new features integrated within Neurons UEM (Unified Endpoint Management) Platform. Automation Lead – Develop and continuously innovate Rest API, CLI and GUI based Automation frameworks for Neurons UEM Platform. Automate end to end use-cases for legacy and new features for Neurons UEM. Groom the E2E team in all the feature executions and automation development. Review automation code written by E2E team. Develop entire CI/CD pipelines and framework for daily production runs. Automate the notification for successful and failed test suite executions. Collaborate with SRE, Support Team and Project stakeholders on all features and bugs uncovered by E2E team. Understand all the critical and important features to be E2E automated by collaborating with Dev managers and Directors/Stakeholders Actively sharing all the results and customer scenarios automated with all necessary dev managers/directors and stakeholders. Identifying all the important customer scenarios and features for E2E Execution and automation Be an active scrum master for the team, and lead on all the necessary sprint deliverables. Cross Collaborate with different orgs and development teams and help them in E2E Testing and Automation. Log Issues, Debug and Triage Product Failures and help SRE/Dev Team in RCA and possible fixes.

What will you bring?

Bachelor’s degree in Computer Science, IT, or related field.

Five years in any occupation with software engineering experience must include:

• Experience as Automation Architect or QA Lead and mentoring QA team;
• Experience leading a team of engineers in the design, implementation, and delivery of substantial automation framework;
• Experience designing and architecting automation frameworks from scratch; End-to-End, Rest API, CLI and GUI automation; Java, Groovy or Selenium in developing GUI Framework and scripts;
• Experience using Python in developing Rest API/CLI Framework and scripts; RDBMS and SQL technologies; Design patterns, data structures and algorithm design; Dev-ops tools and processes; Continuous Integration and Continuous Development (CI/CD); Jenkins or ADO for building pipelines; AWS/Azure technologies; Micro service architecture; API gateway, Elastic Search, Kubernetes; and Agile and Scrum methodologies

Why Ivanti?

• Friendly flexible working model: Empower excellence whether you’re at home or in the office and support work-life balance.
• Competitive compensation & total rewards: Including health, wellness, and financial plans tailored for you and your family.
• Global, diverse teams: Collaborate with talented people from 23+ countries.
• Learning & development: Grow your skills with access to best-in-class learning tools and programs.
• Equity & belonging: We value every voice. Your story helps inform our solutions for a changing world.

What drives us

Ivanti’s mission is to elevate human potential within organizations by managing, protecting and automating technology for continuous innovation.

It is through diverse and inclusive hiring, decision-making, and commitment to our employees and partners that we will continue to build and deliver world-class solutions for our customers.

To learn more about Ivanti’s Mission and Core Values. 

Inclusion at Ivanti

Ivanti is proud to be an Equal Opportunity Employer. We’re committed to building a diverse team and fostering an inclusive environment where everyone belongs. We welcome applicants from all backgrounds and walks of life. Need adjustments during the process? Reach out to talent@ivanti.com we’re happy to help.