Job Specifications
Role : Sr. SRE Engineer
Location : Bellevue WA (Onsite)
Position Type : Contract
JOB DESCRIPTION
"AI Platform & Gateway Engineering”
Design, deploy, and operate enterprise AI Gateway infrastructure supporting OpenAI and internal LLM-based services.
Implement and manage regional routing (east/west), failover strategies, and upstream host configurations for AI traffic.
Develop and maintain Helm charts, Kubernetes manifests, and Jinja templates for multi-environment deployments (dev, plab, qlab).
Enable per-API configuration for rate limiting, AI feature toggles, security credentials, and regional host overrides.
Stay current with industry best practices for:
AI Gateways and MCP servers
Secure LLM consumption patterns
Token handling, secrets management, and request isolation
Observability standards for AI platforms
Vendor & Stakeholder Management
Lead bi-weekly technical and operational syncs with AI Gateway vendors.
Translate vendor capabilities, limitations, and roadmaps into actionable platform strategies.
Communicate clearly in both technical and business terms with:
Engineering teams
SRE
Security & compliance
Product and leadership stakeholders
Reliability, Observability & Operations
Build and maintain monitoring and troubleshooting frameworks for AI workloads using Splunk and Grafana.
Author and evolve SRE support cookbooks for proactive monitoring, incident response, and escalation.
Analyze failure rates, latency spikes, and request flows across distributed AI systems.
Support on-call readiness through actionable dashboards, alerts, and operational runbooks.
CI/CD & Automation
Build CI pipelines to generate and deploy environment-specific configurations at scale.
Automate service registration, deployment validation, and environment promotion.
Enforce consistent naming, versioning, and deployment standards across clusters and environments.
Cross-Functional Collaboration
Act as a technical bridge between application teams, SRE, security, and platform engineering.
Provide architectural guidance for teams onboarding to AI Gateway and Enterprise GPT platforms.
Contribute to platform roadmaps, technical design reviews, and operational readiness planning.
Required Qualifications
Strong experience with Kubernetes, Helm, and cloud-native networking.
Hands-on experience with Istio / service mesh, routing rules, and traffic management.
Proficiency in Python, Bash, and Jinja templating for infrastructure automation.
Experience operating production-grade APIs with high reliability and observability standards.
Deep understanding of SRE principles, monitoring, alerting, and incident management.
Experience building observability frameworks using Splunk, Grafana, or similar tools.
Strong ability to communicate complex technical issues in clear business terms.
Experience working with AI/LLM APIs (OpenAI or similar) in an enterprise context.
Preferred Qualifications
Knowledge of MCP servers, AI gateway patterns, and LLM security models.
Familiarity with security controls for AI platforms (secrets management, token handling, access controls).
Experience supporting multi-region, multi-environment deployments at scale.
Strong documentation skills with a focus on operational clarity and enablement.
CICD, Helm, IT infrastructure, Jinja, Kubernetes, computer science, containerization, continuous integration, information technology, software components, software development, software engineering, templating engines, virtualization
Best Regards,
Bismillah Arzoo (AB)
About the Company
Net2Source (N2S) is a global workforce solutions company recognized by SIA as the largest and fastest-growing Total Talent Solutions provider with a presence in 32 countries. and in-house Glo-Cal (global and local) teams to support our clients.
We carve out custom talent solutions, keeping People, Process, and Technology as the pillars of making the process simple, robust, and efficient. With over 3,500+ contractors working worldwide, we specialize in Contingent Staffing, RPO, Direct Sourcing, Payroll Solutions (EOR/AOR), ...
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