Senior Cloud Engineer

Job Description

Requirements
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### Must have:

### - We require at least 4 years of experience with build and deployment automation and configuration in Linux and Unix environments. - We require at least 4 years of hands-on experience with Gradle or Maven. - We require at least 4 years of experience troubleshooting issues across the full stack, from applications through infrastructure. - We require at least 4 years of working experience in Linux operating system environments. - We require at least 3 years of Python development experience. - We require at least 3 years of experience with server administration and job setup using Jenkins and GitHub Actions. - We require at least 3 years of enterprise DevOps experience, including CI/CD pipelines and collaborative DevOps practices. - We require at least 3 years of Terraform experience, including module design, state handling, and enterprise execution. - We require at least 3 years of advanced infrastructure-as-code experience in an enterprise setting. - We require at least 3 years of Google Cloud Platform experience, including Terraform-based resource management. - We require at least 3 years of strong Git and GitHub experience. - We require at least 2 years of experience with LLMs and Generative AI for DevOps or development use cases. - We require at least 2 years of experience with Elasticsearch, vector databases, or model development, which is considered an advantage. - We require at least 2 years of experience with Terraform Cloud or Terraform Enterprise in an enterprise environment. - We require at least 2 years of experience supporting AI/ML solutions in an enterprise setting, with GCP preferred and Azure also valuable. - We require at least 3 years of experience with Docker and container image development. - We prefer familiarity with UrbanCode Deploy or Harness CD. - We prefer an Associate Cloud Engineer certification for GCP or a higher-level certification. - We prefer knowledge of cloud computing, PaaS design principles, microservices, and container technologies. - We prefer experience with Azure and/or GCP, including programmatic infrastructure delivery using IaC tools such as Terraform or Ansible. - We prefer exposure to both on-premises and public cloud platforms, including Cloud Foundry, Kubernetes, and Docker. - We prefer experience leading analysis of current systems, identifying issues, and driving resolutions. - We prefer the ability to facilitate technically complex discussions and working sessions. - We are seeking a local candidate for an onsite role in Concord, California. - We require the ability to complete two client interview rounds, including one virtual and one in person.

Responsibilities:
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- We contribute to Generative AI platform development, including deploying AI and ML models to on-premises and cloud platforms such as GCP Vertex AI and Azure ML. - We participate in daily Agile standups and provide subject matter expertise to data science teams. - We partner closely with engineering, platform, and strategy teams to define infrastructure needs and support cloud migration efforts. - We lead large-scale, technically complex initiatives and help establish enterprise engineering standards and best practices. - We design, test, troubleshoot, and document solutions for projects and programs. - We review and assess complex, enterprise-scale technology solutions against business goals, technical environments, and challenging system constraints. - We research industry developments, evaluate emerging tools, and promote automation-first approaches. - We help build Generative AI platform capabilities. - We serve as an expert resource for other technical teams within DTI. - We support technically demanding discussions, analysis sessions, and problem-resolution activities. - We collaborate across teams to strengthen cloud infrastructure and advance platform engineering outcomes.
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Company:
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We are TECHNOGEN, Inc., a proven IT services, software development, and solutions provider with 15 years of experience. We are a small, woman-owned minority business with GSA Advantage certification, and we operate from offices in Virginia and Maryland along with offshore development centers in India. Our team has successfully delivered 100 projects for organizations ranging from small businesses and non-profits to Fortune 50 enterprises, as well as federal, state, and local agencies. We are hiring a Senior Cloud Engineer for an onsite long-term opportunity in Concord, California, and we are considering local candidates only. The role includes two client interview rounds, one virtual and one in person, and offers the chance to work on cloud, DevOps, and Generative AI initiatives in a collaborative enterprise environment.
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