Cloud Platform Engineer

• Design, build, and maintain scalable, secure, and highly available environments across Azure (primary) and GCP, with working knowledge of AWS
• Own landing zone design and automation for both GCP and Azure - including organization hierarchy, resource naming standards, IAM governance, and policy enforcement
• Design and operate production-grade Kubernetes environments (AKS and GKE) including multi-tenant cluster strategies, workload identity, pod security standards, autoscaling, resiliency, cost optimization, and Helm-based application deployment
• Build and operate the GCP Project Factory for standardized, automated provisioning of GCP projects, IAM bindings, service accounts, and GitLab integration
• Define and enforce cloud resource naming conventions, project labeling standards, and organizational tagging policies aligned with FinOps and cost allocation requirements, * Develop and maintain Terraform modules for GCP and Azure resource provisioning (AWS IaC a plus), ensuring reusable, version-controlled infrastructure
• Build and manage CI/CD pipelines (GitLab CI, Azure DevOps, Cloud Build, or equivalent) for automated infrastructure and application deployment, including container build, Artifact Registry publishing, and Cloud Run / GKE delivery patterns
• Own and evolve the Ansible AWX automation platform (currently running on AKS) - develop and maintain playbooks and roles to automate system configuration, application setup, and operational workflows
• Administer and evolve the CloudBolt Cloud Management Platform (CMP) for multi-cloud resource provisioning, governance, cost visibility, and self-service workflows
• Develop automation scripts using Python, Bash, or PowerShell to streamline operational tasks
• Leverage AI tools including Claude to accelerate Infrastructure as Code development, runbook creation, and documentation - and help the broader team adopt these workflows effectively

Operations & Reliability

• Implement and manage monitoring, alerting, and observability solutions using Google Cloud Monitoring, Azure Monitor, Cloud Logging, SigNoz, and DataDog
• Develop and maintain runbooks and playbooks to guide incident response; perform root cause analysis (RCA) and document findings
• Respond to escalated infrastructure service desk tickets and resolve complex cloud-related issues

Security & Compliance

• Design, operate, and secure enterprise-grade secrets management using HashiCorp Vault across cloud and hybrid environments, including Vault role management and CI/CD pipeline integration
• Implement and enforce cloud security controls across Azure (Managed Identity, Private Endpoints, NSG) and GCP (VPC Service Controls, Workload Identity, Binary Authorization, Secret Manager), including workforce and workload identity federation with external IdPs
• Partner with the Information Security organization to identify, prioritize, and remediate cloud security vulnerabilities

Hybrid Connectivity

• Design and maintain hybrid network connectivity between Azure and GCP, including VPN tunnels, FMC/FTD integration, and cross-cloud routing
• Design and implement hub-spoke network topologies with multi-region CIDR schemas supporting phased regional expansion
• Assist network design including VPC architecture, Shared VPC, Cloud Interconnect, Cloud NAT, and firewall policy management across both platforms

Disaster Recovery & Business Continuity

• Define and implement disaster recovery strategies for cloud-hosted workloads across Azure and GCP
• Conduct periodic DR drills and document recovery time/point objectives (RTO/RPO)

Collaboration & Documentation

• Create and maintain thorough infrastructure documentation, architecture diagrams, and operational guides - owning the cloud knowledge base for the team
• Collaborate cross-functionally with application teams, security, DevOps, and leadership to align infrastructure with business goals

• Mentor engineers and promote cloud best practices across the team, Our people-first culture means you’re seen, supported, and set up to grow. We work across flexible models because we trust our teams to deliver, not just show up. You’ll collaborate with people who care about the work and each other, and you’ll have leaders who are invested in where you’re headed. How We’ll Support You We invest in the whole person, not just the role. Our benefits and resources are built to support your health, your time, and your life outside of work:

• Medical, Dental, and Vision Coverage, Our targeted starting base salary in the United States for this position ranges from 100K -160K USD. We take a thoughtful, consistent approach to compensation and consider a variety of factors, including depth and breadth of experience, skills and role scope. Depending on the role, team members may also be eligible for additional compensation plans (bonus and commission). Your Security Matters: Our candidates’ personal information and online safety are top of mind. Applied communicates with candidates only via a secure @appliedsystems.com email address or through our official careers portal. Recruiters will never request payments or ask for financial account or sensitive personal information like Social Security numbers. AI Utilization We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, candidate screening, interviews, and final decisions are always conducted by real humans. EEO Statement Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law. #LI-Remote #LI-US, Remote or Hybrid 60K-150K Annually Senior level 60K-150K Annually Senior level Cloud * Insurance * Payments * Software * Business Intelligence * App development * Big Data Analytics The Senior Software Engineer will design, develop, and deliver quality software solutions. Responsibilities include coding, code reviews, performance monitoring, and guiding other engineers. Looking for candidates with experience in SaaS development, cloud environments, and various programming technologies. Top Skills: GoGoogle Cloud StorageOpenapiReactSQLTerraform Applied Systems

Senior Software Engineer

14 Hours Ago Remote or Hybrid 90K-140K Annually Senior level 90K-140K Annually Senior level Cloud * Insurance * Payments * Software * Business Intelligence * App development * Big Data Analytics Lead design and development of scalable, cloud-native financial and reconciliation systems on GCP. Own architecture, drive technical decisions, mentor engineers, embed AI and automation, collaborate with product and QA, and ensure reliability, performance, and test automation. Top Skills: .NetApigeeC#DatadogGitlabGoogle Cloud PlatformKubernetesNode.jsOpenapiReactSQL ServerTypescript Applied Systems

We’re looking for a Senior Cloud Platform Engineer (GCP, Azure) to join our Corporate IT and make a real difference for the people who depend on our products every day. This role owns our cloud platform across Google Cloud Platform (GCP) (primary) and Azure (secondary), with strong preferred experience in AWS. You will design, build, and operate cloud-native infrastructure at enterprise scale - including landing zone automation, Kubernetes platforms, secrets management, hybrid networking, and application delivery pipelines. If you thrive in a fast-paced, collaborative environment and are passionate about driving business outcomes through cloud excellence and AI-augmented engineering, we want to hear from you, If this role sounds like the right next move, we’d love to hear from you. You might bring:

• High School diploma required; BA/BS degree in Computer Science, Information Technology, or related field preferred
• 7+ years of experience as a senior engineer in a mid-to-large-scale enterprise environment
• 4+ years of hands-on, production-grade experience with Google Cloud Platform (required) -Primary
• 3+ years of hands-on, production-grade experience with Azure at enterprise scale (required) - Secondary
• AWS experience strongly preferred; candidates with deep Azure + GCP and meaningful AWS exposure will be prioritized, * GCP (Primary), Azure (Secondary), AWS (Preferred): AKS, Azure Networking (vHub, NSG, App Gateway, Private Endpoints, VPN), Landing Zone automation, Azure DevOps/GitLab CI, Terraform IaC, SPN/Managed Identity, Azure Storage
• Google Cloud Platform (Primary): GKE, Cloud Run, Cloud SQL, BigQuery, VPC, IAM, Artifact Registry, Cloud Monitoring, Vertex AI
• AWS (Strongly Preferred): Core services familiarity (EC2, EKS, VPC, IAM, S3); ability to operate or support AWS workloads alongside Azure/GCP

Technical Skills - Required

• Terraform: Production IaC modules for Azure and GCP (AWS IaC a plus)
• CI/CD: GitLab CI, Azure DevOps, Cloud Build, or Jenkins
• Kubernetes: AKS and/or GKE at production scale - multi-tenant clusters, Helm, workload identity, pod security
• HashiCorp Vault: Enterprise secrets management, Vault role administration, CI/CD pipeline integration
• Ansible / AWX: Playbook development and AWX automation platform operation
• Scripting & Automation: Python and/or Bash for infrastructure automation
• Networking: VPC design, BGP, DNS, load balancing, hub-spoke topologies, and hybrid connectivity
• IAM & Security: Org policies, Managed Identity, Workload Identity Federation, VPC Service Controls, workforce identity federation with external IdPs
• Monitoring & Observability: Google Cloud Monitoring, Azure Monitor, Cloud Logging, DataDog, and/or SigNoz

Bonus points if you also have:

• AWS certifications or hands-on project experience
• Azure certifications (AZ-104, AZ-305) or GCP Professional Certifications (Cloud Architect, Cloud DevOps Engineer)
• Linux system administration
• Kubernetes advanced operations (Autopilot, multi-cluster, service mesh)
• CloudBolt CMP: cloud management platforms for multi-cloud governance, FinOps reporting, and self-service provisioning
• Tines or similar workflow automation platforms
• BigQuery and data platform support experience
• Experience with API-driven automation (Google APIs, Microsoft Graph, Jira, Okta)
• Data center migration experience

Talent shows up in a lot of different ways, and we mean that. We welcome candidates from all backgrounds and experience levels, including military members and their spouses and those without a traditional degree or tech background. If this role speaks to you, apply.

80K-100K Annually Senior level 80K-100K Annually Senior level Cloud * Insurance * Payments * Software * Business Intelligence * App development * Big Data Analytics Lead UX research and design for B2B/SaaS insurance products: create wireframes, mockups, and prototypes; run user research and usability tests; use analytics to measure outcomes; collaborate with product and engineering to implement consistent, validated UX solutions. Top Skills: BalsamiqFigmaMiroWhiteboards

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute