Design, scale, and maintain the infrastructure powering impact.com’s core Data Platform in a high-throughput Google Cloud Platform environment.
Compensation
Salary Range: $130,000 - $150,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.
Design, standardize, and secure high-performance storage solutions for AI cloud infrastructure.
Locations (3)
San Francisco, California, United States
San Jose, California, United States
Bellevue, Washington, United States
Compensation
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
Responsibilities
Author performance and correctness validation plans for new storage tiers
Draft SOPs and alerting/monitoring frameworks
Own access-control lifecycle for storage solutions
Design and govern secure, production-grade AI platform and solution patterns across an AWS-centered hybrid ecosystem, focusing on platform integration, runtime patterns, private connectivity, identity, model gateways, managed and open-source models, LLMOps/MLOps, observability, reliability, cost, security and responsible AI.
Responsibilities
Own reusable platform and solution architecture patterns for AI applications, agents, models, retrieval services, data flows, APIs and hybrid infrastructure.
Architect containerized, serverless, event-driven and private model-serving workloads using Kubernetes, EKS/EKS Anywhere, ECS, Lambda and approved runtime platforms.
Design secure cloud-to-on-premises connectivity using Direct Connect, Storage Gateway, enterprise networking, private endpoints, DNS, proxies and reverse-proxy patterns.
Design identity and access controls using AWS IAM, Secrets Manager, Active Directory integration, workload identities, least privilege, encryption, certificates and audit logging.
Define model-gateway, model-routing, open-source model, managed-model and private inference patterns, including safety, tenancy, quotas and cost controls.
Lead the technology strategy and platform foundation that powers Valitana's growth, owning Information Security, Cloud Engineering, and DevOps, while providing enterprise-wide technical leadership.
Compensation
The base salary range for this role is $250k to $300k with a total compensation package (base + bonus) ranging between $350k to $550k based on experience. Valitana offers a competitive compensation package which includes a base salary and an annual performance bonus.
Responsibilities
Define and execute Valitana's technology vision and multi-year roadmap in alignment with business strategy and the Executive Leadership Team.
Serve as the senior technical advisor to the CEO and executive team on platform, security, and technology investment decisions.
Own the technology budget for DevOps, Information Security, and Cloud Engineering, including vendor and cloud spend.
Build, lead, and develop high-performing teams; attract and retain top engineering and security talent.
Own the strategy, architecture, and operation of our AWS cloud environment supporting our structured finance products.
Requirements
Bachelor's degree in computer science, engineering, information security, or a related field
Build, secure, automate, and operate cloud or enterprise infrastructure and platforms, focusing on availability, scalability, security, observability, automation, and dependable service operations.
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Design, provision, configure, and operate cloud or infrastructure components using approved architecture patterns
Automate repeatable provisioning, deployment, configuration, and operational tasks
Implement security, identity, networking, backup, monitoring, and availability controls
Investigate incidents, capacity issues, vulnerabilities, and performance problems
Maintain runbooks, diagrams, standards, and change records; collaborate across engineering and operations
Build, secure, automate, and operate cloud or enterprise infrastructure and platforms focusing on availability, scalability, security, observability, automation, and dependable service operations.
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Design, provision, configure, and operate cloud or infrastructure components using approved architecture patterns.
Automate repeatable provisioning, deployment, configuration, and operational tasks.
Implement security, identity, networking, backup, monitoring, and availability controls.
Investigate incidents, capacity issues, vulnerabilities, and performance problems.
Maintain runbooks, diagrams, standards, and change records; collaborate across engineering and operations.
Bright Vision Technologies is seeking a FinOps Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability, scalability, security, observability, automation, and dependable service operations.
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Design, provision, configure, and operate cloud or infrastructure components using approved architecture patterns.
Automate repeatable provisioning, deployment, configuration, and operational tasks.
Implement security, identity, networking, backup, monitoring, and availability controls.
Investigate incidents, capacity issues, vulnerabilities, and performance problems.
Maintain runbooks, diagrams, standards, and change records; collaborate across engineering and operations.
Bright Vision Technologies is seeking a Cloud Operations Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability, scalability, security, observability, automation, and dependable service operations.
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Design, provision, configure, and operate cloud or infrastructure components using approved architecture patterns
Automate repeatable provisioning, deployment, configuration, and operational tasks
Implement security, identity, networking, backup, monitoring, and availability controls
Investigate incidents, capacity issues, vulnerabilities, and performance problems
Maintain runbooks, diagrams, standards, and change records; collaborate across engineering and operations
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