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Job DescriptionJob Description

Overview

CTG is seeking to fill a GCP Platform Infrastructure Architect opening for our client in Denver, CO.

Location: Denver, CO

Duration: 10 months

We are looking for a GCP Platform Infrastructure Architect that has in depth experience with the following GCP Core Services:

• Compute - Google Compute Engine, Google Kubernetes Engine, App Engine, Cloud Functions
• Storage - Google Cloud Storage, Persistent Disks, Filestore, Cloud Storage for Firebase
• Databases - Cloud SQL, Cloud Spanner, Firestore, Bigtable, Memorystore
• Networking - Virtual Private Cloud (VPC), Cloud Load Balancing, Cloud CDN, Cloud Interconnect
• Big Data - BigQuery, Dataflow, Dataproc, Pub/Sub
• Machine Learning - AI Platform, AutoML, TensorFlow on GCP, Vertex AI
• & Security - Cloud , Cloud IAM, Cloud Security Command Center, Data Loss Prevention API
• Management Tools - Cloud Console, Cloud Monitoring, Cloud Logging, Cloud Deployment Manager
• API Management - Apigee, Cloud Endpoints
• Developer Tools - Cloud Source Repositories, Cloud Build, Cloud Functions

The key is that the resource will be designing/building shared services at the platform level for use by multiple development teams and needs to have in-depth, hands-on experience with the GCP Core Services

Architects should have hands-on experience and be able to think architecturally and implement solutions. They should not only plan but also execute the solutions. . They should be able to design and execute new patterns and platform-level solutions.

• Core Services: List of core services required for the platform, including DNS, firewall, IAM, resource hierarchy structure, and load balancing. Important have a good understanding of these services for the platform-level role.
• Importance of Core Services: a good understanding of these core services for the platform-level role, as they are essential for building and managing the platform effectively.
• Additional Core Services: core services like Google Compute Engine (GCE) and Google Kubernetes Engine (GKE), which are also crucial for the platform

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or -based recruitment services for this role.

To Apply:

To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!

The expected base salary for this position ranges from $70 to $90 hourly. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.

• Architecting, designing, and implementing complex, scalable, and high-performance cloud-based software solutions.
• Leading technical design discussions and providing mentorship to software engineering teams.
• Driving best practices in software development, including clean code, test-driven development (TDD), and continuous integration/continuous deployment (CI/CD).
• Identifying and evaluating new technologies and frameworks to enhance the cloud platform.
• Troubleshooting and resolving complex technical issues across the software development lifecycle.
• Ensuring the security, reliability, and scalability of all cloud services.
• Collaborating with product managers, architects, and other stakeholders to define technical requirements and roadmaps.
• Writing high-quality, maintainable, and efficient code.
• Conducting code reviews and providing constructive feedback to team members.
• Staying abreast of the latest trends and advancements in cloud computing and software engineering.

• Assist in the design and development of cloud-native applications.
• Write well-documented and efficient code across various programming languages.
• Participate in agile development ceremonies, including daily stand-ups and sprint planning.
• Collaborate with senior developers on feature implementation and bug fixing.
• Contribute to the creation and execution of unit and integration tests.
• Assist in the deployment and maintenance of applications on cloud infrastructure.
• Learn and apply best practices in software development and cloud computing.
• Engage in code reviews to understand different coding styles and improve code quality.
• Research and propose solutions for technical challenges.
• Document technical designs and implementation details.

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline.
• Fundamental understanding of object-oriented programming and software development principles.
• Proficiency in at least one programming language (e.g., Java, Python, JavaScript, C++).
• Familiarity with cloud computing concepts and platforms (AWS, Azure, GCP).
• Basic knowledge of databases (SQL/NoSQL) and version control systems (Git).
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication abilities.
• Eagerness to learn and adapt in a fast-paced environment.

• Design, develop, and deploy scalable cloud-native applications.
• Build and maintain microservices and distributed systems.
• Develop and manage RESTful APIs.
• Implement CI/CD pipelines for automated testing and deployment.
• Utilize infrastructure as code (IaC) for managing cloud resources.
• Ensure the security, performance, and scalability of cloud platforms.
• Collaborate with cross-functional teams on feature development and system design.
• Write clean, efficient, and well-documented code.
• Conduct code reviews and provide technical feedback.
• Troubleshoot and resolve complex software defects and performance issues.

Location: New York
3 days onsite

You'll need to have:

• 4+ years of experience with process engineering, architecture, engineering management or DevOps practices and experience with project management tools such as MS Project or Atlassian JIRA
• Coding experience with languages like Python for report generation
• Advanced skills in Google Sheets or MS Excel in data analysis, pivot tables, charts and complex formulas to create in reports for management.
• Solid ability to manage and collaborate with partners, team and leadership, ensuring clear communication and alignment.
• Successfully managed projects from design and planning to execution ensuring objectives are delivered under deadline.
• Persuasive and effective public communication skills to convey complex information to team, stakeholders and management.

• Experience with migrations dealing with Hadoop technologies like Spark, MapReduce, Hive or Oozie
• Knowledge in Kubernetes and cloud computing
• Telemetry and observability experience using Grafana, Splunk, OpenTelemetry

At IMO Health, we're advancing the use of AI to improve clinical workflows - and we're seeking a security-first, hands-on architect to ensure that our AI/ML systems are designed, deployed, and maintained securely from the ground up.

This is a senior-level individual contributor role embedded directly in our engineering teams. You'll lead technical security efforts across our AI/ML and cloud infrastructure, from threat modeling and vulnerability management to secure MLOps pipeline design and runtime protection. We're looking for someone with deep experience in cloud security or DevSecOps who is excited about learning and applying AI-specific security practices.

You'll work across engineering, platform, and compliance teams to define and implement practical controls that safeguard our models, data, and infrastructure - while helping guide the organization toward responsible, secure use of AI in healthcare.

WHAT YOU'LL DO:

• Serve as the technical security lead embedded in engineering teams , focused on cloud, AI/ML, and platform security
• Lead threat modeling exercises for AI/ML systems, APIs, and cloud-based infrastructure
• Define and implement security controls across the ML lifecycle - from data sourcing and model training to deployment and inference
• Own and prioritize security user stories , epics, and remediation plans for engineering execution
• Analyze and manage vulnerabilities using modern scanning tools and provide clear risk guidance
• Collaborate with DevOps, ML, and product teams to secure infrastructure-as-code, CI/CD pipelines , and containerized environments
• Stay current on emerging AI-specific threats (e.g., prompt injection, model inversion, data leakage) and apply that knowledge practically
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders

• 7+ years in security engineering, application security, or DevSecOps
• Experience securing cloud-native infrastructure (AWS preferred)
• Strong track record of hands-on security architecture , especially in fast-paced engineering environments
• Experience with security assessments, threat modeling, and vulnerability management
• Ability to write and prioritize technical stories and remediation plans
• Strong communicator - able to influence, educate, and partner across engineering and product teams
• AI/ML security experience is a strong plus; otherwise, must demonstrate the aptitude and interest to quickly ramp up
• Familiarity with healthcare security and compliance frameworks (HIPAA, HITRUST, NIST) is a plus

• Experience with MLOps , model-serving infrastructure, or AI pipelines
• Familiarity with AI-specific risks (e.g., adversarial inputs, prompt injection, RAG security)
• Exposure to red teaming, purple teaming , or secure SDLC in ML systems
• Awareness of emerging AI regulations (NIST AI RMF, EU AI Act, etc.)

• Collaborate with project managers to prioritize development of capabilities.
• Contribute to strategic planning meetings and provides guidance and expertise on system options, risk, cost vs. benefits, and impacts on departmental processes and goals.
• Coordinate communication and activities between technical teams.
• Assess client needs utilizing a structured requirements process (gathering, analyzing, documenting, and managing changes).
• Lead development and communicate business requirements and functional specifications for the design and implementation of client solutions.
• Analyze client operations to uncover opportunities for improvements.
• Work closely with architects to assure all systems are in line with IT's long-term strategy.
• Review and advise on technical design specifications developed by junior DevOps Engineers.
• Develop custom integration solutions including major enhancements, interfaces, functions, and features.
• Develop and/or implement reusable components.
• Setup and maintain the test environments for both manual and automated testing.
• Assist in defining DevOps and quality guidelines and standards.
• Build automated deployments using configuration management technology.
• Work with Release Management to ensure modules are production-ready.
• Assist in establishing requirements, methods, and procedures for routine maintenance.
• Evaluate existing applications and platforms and provide recommendations for improving performance by conducting gap analysis, identifying feasible alternative solutions, and assisting in the scope of modifications.
• Participate in an on-call rotation.

• Bachelor's or Master's Degree, preferably in Computer Science
• Typically requires seven or more years of analysis and scripting experience.
• Experience working in applications, systems, or IT operations.
• In-depth knowledge of a broad range of hardware and software products.
• Experience leading an agile team environment
• Ability to analyze and interpret complex problems or processes, identify and understand requirements and develop alternate solutions.
• Experience designing, developing, testing, and deploying applications/ systems using proven or emerging technologies, in a variety of technologies and environments.
• Knowledge of Software Defined Storage platforms (e.g., Swift, VSAN, Ceph.)
• Experience working with EMC's product suite (e.g., Data Domain, Isilon, VMAX, VPLEX, VNX, XtremeIO.)
• Strong grasp of automation tools.
• Strong troubleshooting and problem solving skills.
• Requires working knowledge of two or more programming languages; Python, Perl, or Ruby preferred.
• Knowledge of modern configuration management software (e.g., Puppet) a plus.
• Knowledge of OpenStack a plus.