• Infrastructure as Code: Provision production, staging, and development environments using Terraform to ensure standardization. • Data Reliability: Ensure availability and performance of spatial databases and high-speed caches. • Pipeline Automation: Build CI/CD pipelines for microservice deployments and automate data schema migrations. • Data Observability: Implement monitoring focused not only on infrastructure (CPU/RAM) but also on data health (ingestion lag, transformation failures, integrity of geo files). • Performance & Cost Optimization: Monitor resource consumption (FinOps) and propose architectures that reduce data egress and long-term storage costs. • Security: Implement IAM policies, secrets management (Secret Manager/KMS), and network isolation (VPC).

CTG is seeking a DevOps Engineer with strong cloud and CI/CD expertise to support enterprise platform engineering initiatives. This role focuses on building scalable pipelines, integrating APIs, and supporting cloud environments across GCP and Azure. Location: RemoteDuration: 8 months Key Responsibilities: - Build and manage CI/CD pipelines using Tekton, OpenShift, GitHub, SonarQube, FOSSA, and Cycode - Design and support cloud infrastructure across GCP and Azure environments - Integrate enterprise APIs using Apigee and 42Crunch - Support application integration with Siemens Teamcenter (VSEM) and enterprise platforms - Implement monitoring, logging, and performance optimization strategies - Contribute to cloud platform engineering initiatives, including taxonomy development and integration efforts - Ensure security, compliance, and identity management using Entra ID Required Skills: - Strong experience with GCP and Azure (including Entra ID) - Hands-on CI/CD pipeline development experience (Tekton, OpenShift, GitHub, etc.) - API integration expertise with Apigee and 42Crunch - Experience with Elasticsearch, Vertex AI, and RAG pipelines - Experience integrating enterprise systems such as Siemens Teamcenter Nice to Have: - 2+ years of experience working in Ford or similar enterprise environments Qualifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) - Proven DevOps or Cloud Engineering experience in enterprise environments Why Join: - Work on cutting-edge cloud and DevOps technologies - Collaborate on large-scale enterprise platform initiatives 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 fee based recruitment services for this role. To Apply:To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Malti Jha at Malti.Jha@ctg.com. Kindly forward this to any other interested parties. Thank you! The expected base salary for this position ranges from $60.00 to $75.00/hour. 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. About CTG CTG, a Cegeka company, delivers IT and business solutions that enhance clients’ digital agility, empowering them to seize new opportunities and overcome any challenge. Backed by more than 60 years’ experience and a commitment to being a reliable, results-driven partner, we work shoulder to shoulder with clients to shape digital together. Our vision is to be an indispensable partner to our clients and the preferred career destination for digital and technology experts. With more than 9,000 team members in over 15 countries, we combine global expertise with local insight to deliver innovative solutions. We operate across the Americas, Europe, and India, working with over 3,000 clients in many of today's highest-growth industries. Together, we shape what’s next—working shoulder to shoulder to deliver impactful solutions for our clients and society. Our culture is built by the people who work at CTG, the values we hold, and the actions we take. It's a living, breathing thing that is renewed every day through the ways we engage with each other, our clients, and our communities. At CTG, you’ll find a workplace where you are encouraged to grow, supported in your ambitions, and empowered to shape your own career journey. For more information, visit www.ctg.com. CTG will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of all applicable local, state, and federal laws. CTG is an Equal Opportunity Employer. CTG will assure equal opportunity and consideration to all applicants and employees in recruitment, selection, placement, training, benefits, compensation, promotion, transfer, and release of individuals without regard to race, creed, religion, color, national origin, sex, sexual orientation, gender identity and gender expression, age, disability, marital or veteran status, citizenship status, or any other discriminatory factors as required by law. CTG is fully committed to promoting employment opportunities for members of protected classes.

• Design and maintain secure, scalable cloud infrastructure across Azure and GCP • Build and optimise CI/CD pipelines and deployment workflows • Implement and manage Infrastructure as Code (IaC) (Terraform or similar) • Deploy and operate machine learning pipelines in production environments • Manage and scale multi-cluster GPU environments for AI workloads • Set up monitoring, logging, and alerting systems to ensure reliability • Apply cloud security best practices across infrastructure and access layers • Troubleshoot and resolve system, deployment, and performance issues • Provide hands-on IT support (user access, devices, internal systems) to ensure smooth day-to-day operations • Collaborate with engineering teams to improve scalability, performance, and automation

• Build software and systems to manage platform infrastructure and applications • Improve reliability, quality, and time-to-market of our suite of software solutions • Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement • Provide primary operational support and engineering for multiple large-scale distributed software applications • Gather and analyze metrics from operating systems as well as applications to assist in performance tuning and fault finding • Partner with development teams to improve services through rigorous testing and release procedures • Participate in system design consulting, platform management, and capacity planning • Create sustainable systems and services through automation and uplifts • Balance feature development speed and reliability with well-defined service-level objectives