Senior Google Cloud Engineer – Gcp
Company | Hartford Financial Services |
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Location | Chicago, IL, USA, Charlotte, NC, USA, Columbus, OH, USA, Hartford, CT, USA |
Salary | $136000 – $204000 |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Senior |
Requirements
- 7+ years of experience as a Cloud Engineer in platform and product engineering for infrastructure services, networking, security, and software engineering.
- 3+ years of direct experience with Google Cloud Platform (GCP) and services; familiarity with AWS and multi-cloud ecosystems.
- Extensive experience in building scalable cloud solutions using emerging technologies like Generative AI, machine learning, and advanced analytics.
- Strong understanding of DevSecOps philosophy and scaled agile methodologies.
- Proven ability to navigate a highly matrixed environment and work within cross-functional teams.
- Excellent communication and presentation skills for interacting with all levels of management and staff.
- Bachelor’s degree in computer science, information security, or a related field; advanced degree preferred.
Responsibilities
- Execute product development for GCP, AWS, and multi-cloud environments, adhering to software engineering principles and governance.
- Develop and enhance the GCP platform in alignment with the multi-cloud strategy and roadmap.
- Engage in the design, implementation, orchestration, automation, and maintenance of GCP, AWS, and multi-cloud services.
- Engineer and manage immutable infrastructure using Infrastructure as Code (IaC) and CI/CD pipelines.
- Collaborate with stakeholders and technology partners to support cloud transformation with a focus on security.
- Develop and maintain technology standards, reference architecture blueprints, enterprise-level architecture decisions, and reusable engineering patterns.
- Define and enforce standards, patterns, policies, and processes for GCP and multi-cloud product engineering.
- Lead and participate in technology selection workshops and proof-of-concept projects.
Preferred Qualifications
- Preferably, candidates should have experience with Cloud Run, Google Kubernetes Engine (GKE), Load Balancer, Eventarc, Cloud Storage, Vertex AI, and Terraform.
- Knowledge of the insurance industry is a plus.
- Preferred certifications: Google Professional Cloud Architect, AWS Certified Solutions Architect – Professional, Azure Solutions Architect – Expert.