Full-Stack Cloud Developer

Guidehouse Inc.
Boulder, CO, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$102,000.0 - $170,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) JavaScript (Programming Language) Web Accessibility Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Apache Tomcat Server Applications Computer Vision Confluence JIRA
+51 more
Cloud Computing Cloud Engineering Code Review Computer Programming Computer Networks Continuous Integration Data Stores Software Design Patterns Distributed Systems Eclipse (Software) Monitoring of Systems Integrated Development Environments IntelliJ IDEA JSON WildFly (JBoss AS) Python (Programming Language) Machine Learning NoSQL OpenShift Pair Programming Scrum Methodology Azure Machine Learning Service-Oriented Architecture Software Engineering Web Application Frameworks Web Services Extensible Markup Language (XML) YAML Data Storage Management Google Cloud Enterprise Software Applications Cloud Platform System Postman ReactJS Spring-boot Backend Git SC Clearance AngularJS Kubernetes Deployment Automation Bitbucket Machine Learning Operations Front End Software Development Mixed Reality Atlassian Bamboo Docker Jenkins Static Application Security Testing Microservices Dynamic Application Security Testing

Job description

  • Design, develop, and test full-stack components, including enterprise web service APIs, backend services, and user interfaces that consume REST APIs.
  • Collaborate with product management to translate requirements into technical designs and provide accurate estimates.
  • This role involves building internal and external interfaces using Microservices and automation patterns as part of a complete system modernization.
  • Define, implement, and maintain automated unit and integration tests.
  • Develop high-quality, production-ready code in short, iterative increments.
  • Work closely with engineering, QA and Systems teams to improve and manage the development pipeline.
  • The ideal candidate will contribute across the full stack design, development, and testing leveraging a cloud technology platform (GCP or similar) and industry-standard tools, frameworks, and design patterns. In addition, the senior-level role includes mentoring responsibilities, architectural influence, and technical leadership across teams.
  • Champion best practices development and cloud automation to continuously enhance development efficiency and reliability.
  • Leads cross-functional modernization initiatives, ensuring alignment across multiple teams and driving cohesive technical execution on complex enterprise-wide programs.
  • Provide technical leadership across feature teams, guiding architectural decisions and ensuring alignment with cloud-native standards and microservices best practices.
  • Mentor junior and mid-level engineers through code reviews, pair programming, and structured knowledge-sharing.
  • Participate in solution architecture discussions, contributing to long-term modernization strategy and technology selection.
  • Act as a senior technical point-of-contact for cross-functional stakeholders, helping bridge product, engineering, and platform teams.
  • Subject matter expert. Demonstrates strategic thinking by anticipating future technical challenges and proactively proposing forward-looking solutions that strengthen organizational readiness.
  • Identify system bottlenecks, architectural gaps, and improvement opportunities across distributed systems., Build and maintain Grafana Cloud integrations and observability features across frontend (TypeScript/React), backend (Golang), and monitoring mixins (Jsonnet). Ship end-to-end features, own projects to production, contribute upstream to OpenTelemetry/Prometheus, run on-call for owned services, and communicate designs and demos across teams. Top Skills: AnthropicGo (Golang)Google ModelsGrafanaGrafana AlloyJsonnetOpenaiOpentelemetryOpentelemetry CollectorPrometheusReactTypescript NVIDIA

Software Engineer

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Software Engineer

25 Days Ago In-Office or Remote 184K-357K Annually Senior level 184K-357K Annually Senior level Artificial Intelligence * Computer Vision * Hardware * Robotics * Metaverse Develop and maintain web-based storage management applications, including Kubernetes operators and CSI plugins, collaborating closely across teams to define APIs. Top Skills: BashBootstrapContainer Storage Interface (Csi)CSS3ExpressGitHTML5JavaScriptJqueryKafkaKubernetesLinuxMongoDBNode.jsPythonReact

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

Requirements

  • US Citizenship with the ability to obtain and maintain a federal Public Trust clearance.
  • Bachelor’s Degree or additional Four(4) years of exp in lieu of degree.
  • Minimum of 6 years of software engineering experience.
  • Expertise in enterprise software design, implementation, and deployment .
  • Proficiency with JavaScript and modern frontend frameworks such as Angular or React .
  • Strong programming experience in Java, including Spring Boot or similar frameworks .
  • Experience working in a Scrum-based development environment .
  • Hands-on experience with tools such as JIRA, Bamboo or Jenkins, Bitbucket (Git), and Confluence
  • Proficiency with JSON, YAML, and XML .
  • Experience developing distributed, modular system architectures (Microservices, SOA) .
  • Strong understanding of modern cloud networking concepts and enterprise security best practices, including GCP-native security controls and SAST/DAST methodologies, or similar cloud environments .
  • Experience with Docker, Kubernetes, and OpenShift.
  • Cloud development experience .
  • Familiarity with web accessibility standards .
  • Experience using Postman or similar tools to test web services.
  • Experience with application servers or containers such as JBoss or Tomcat .
  • Extensive experience with continuous integration and deployment tools .
  • Experience working with relational and NoSQL data stores .
  • Must be US Citizen.
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD “PUBLIC TRUST”; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.

What Would Be Nice To Have:

  • Ability to manage multiple tasks with varying priorities .
  • Strong communication skills across diverse formats .
  • Facilitates discussions with stakeholders to ensure alignment on approaches .
  • Adherence to Agile development methodologies .
  • Experience leading multiple projects or processes, with minimal guidance .
  • Experience with IDEs such as Eclipse, IntelliJ, or VS Code.
  • GCP certification or familiarity with Google Cloud Platform .
  • Experience with cloud-based AI/ML services (GCP Vertex AI, Gemini Code Assist, AWS SageMaker, or Azure ML) and MLOps practices (CI/CD for ML, model monitoring) .
  • Proficiency in Python for developing, training, and deploying machine learning models .

Benefits & conditions

The annual salary range for this position is $102,000.00-$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

Apply for this position

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Apply on guidehouse.wd1.myworkdayjobs.com
Prepare application

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