716 Gcp Data Engineer Architect jobs near me

The DevOps / Platform Engineer is responsible for managing and optimizing cloud-based infrastructure, with a strong focus on Google Cloud Platform (GCP). This role ensures the reliability, security, and scalability of systems that support business operations. This individual will proactively monitor environments, troubleshoot issues, and collaborate across teams to implement and maintain efficient, cloud-first solutions. This individual will play a key role in supporting multi-tenant systems, ensuring proper data isolation, security boundaries, and scalability across shared and tenant-specific resources.

What We Offer

• Competitive salary up to $125,000
• 401(k) with generous company match and immediate vesting
• Medical, Dental, Vision & Voluntary Benefits
• Company-paid Short-Term Disability, Long-Term Disability, and Life Insurance
• Non-Accrued Paid Time Off (PTO) policy providing flexibility and work-life balance
• 80 hours of paid Sick Time annually
• 10 paid holidays per year
• 96 paid volunteer hours annually to support causes you care about
• $1,000 annual Development Reimbursement for continued learning and growth
• Paid Parental Leave to support growing families
• Award-winning workplace culture and supportive team environment
• Opportunities for growth and recognition in a mission-driven organization
• Employee discounts and additional voluntary benefits including pet insurance, legal insurance, and more

Essential Functions

• Administers and manages cloud infrastructure within Google Cloud Platform (GCP), including compute, storage, networking, and IAM
• Provisions, configures, and maintains cloud resources using infrastructure-as-code and automation tools
• Monitors system performance, availability, and cost efficiency across cloud environments
• Implements and enforces security best practices, including identity management, access controls, and compliance standards (e.g., SOC 2)
• Manages backups, disaster recovery strategies, and business continuity processes within cloud environments
• Collaborates with engineering teams to support application deployments and optimize system performance
• Troubleshoots and resolves system and application-level issues in a timely manner
• Maintains and improves CI/CD pipelines and deployment processes with tools like Github Actions in collaboration with development teams
• Analyzes system usage and recommends scaling strategies to ensure performance and cost optimization
• Documents system configurations, processes, and procedures to ensure clarity and consistency
• Supports incident response efforts and participates in root cause analysis
• Provides on-call support to meet service level objectives and ensure system uptime
• Designs and supports multi-tenant architectures, including data isolation strategies, sharding approaches, and tenant-aware resource management
• Implements tenant-level monitoring, alerting, and observability to ensure performance and reliability across environments
• Continuously evaluates and implements new tools and technologies to improve system reliability and efficiency
• Perform other duties as assigned

Knowledge, Skills & Abilities

• Knowledge of cloud security principles, IAM roles, and access control models
• Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes/GKE)
• Strong troubleshooting and problem-solving skills across distributed systems
• Understanding of networking concepts (TCP/IP, DNS, load balancing, firewalls) in cloud environments
• Proficiency with scripting (e.g., Python, Bash) for automation tasks
• Excellent verbal and written communication skills
• Strong organizational skills and attention to detail
• Ability to manage multiple priorities and work independently in a fast-paced environment

Values

• Carry passion.
• Desire excellence.
• Keep dreaming.
• Build community.
• Be Vivacious.

Education & Experience

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
• Minimum 5-7 years of relevant experience required
• 1–2 years of experience in a cloud infrastructure or DevOps role
• Strong experience with Google Cloud Platform (GCP), including services such as Compute Engine, Cloud Run, Cloud Storage, and VPC networking
• Proficiency with Infrastructure as Code tools (e.g., Terraform) and automation practices
• Hands-on experience supporting CI/CD workflows and modern deployment practices
• Experience with monitoring and logging tools (e.g., Cloud Monitoring, Cloud Logging)
• Google Cloud certifications (e.g., Associate Cloud Engineer, Professional Cloud Architect) preferred

Additional Requirements

• Prolonged periods of sitting or standing at a desk and working on a computer