Sr. Manager, SRE & Performance

Job Description:

We are Omnissa! Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions—including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance—into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement while optimizing IT operations, security, and cost. Guided by our Core Values—Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value—we’re growing rapidly and committed to delivering meaningful impact.

If you're passionate about shaping the future of work, we’d love to hear from you. At Omnissa, we are committed to maintaining a fair, consistent, and secure hiring process for all candidates. As part of this approach, we use standard interview and verification practices designed to ensure alignment and protect both candidates and the organization. These practices are applied thoughtfully and with respect for candidate privacy.

We are looking for a Senior Manager of Site Reliability Engineering (SRE) & Performance Engineering to lead teams responsible for the reliability, scalability, performance, and operational excellence of our distributed SaaS platform. This is a hands‑on technical leadership role for someone who can operate at the intersection of software engineering, distributed systems, cloud infrastructure, SRE, and performance engineering. You will lead engineers while partnering closely with development, architecture, security, SaaS operations, and product teams to ensure our services are designed and operated for scale, resilience, efficiency, and predictable performance.

You will help establish engineering standards around SLOs, observability, performance testing, capacity planning, incident management, production readiness, and continuous reliability improvement.

Here’s a breakdown:
Lead and grow SRE and Performance Engineering teams, providing technical direction, coaching, career development, and establishing a strong culture of ownership and engineering excellence. Define and drive the organization's SRE and performance engineering strategy, including reliability goals, performance objectives, scalability standards, and operational readiness requirements. Partner with engineering teams to ensure systems are designed for high availability, scalability, fault tolerance, performance, and operability from the beginning rather than addressing these concerns after deployment.

Establish and drive adoption of SLIs, SLOs, error budgets, service health indicators, and production readiness criteria for critical services. Lead performance engineering initiatives across distributed systems, including workload modeling, benchmarking, profiling, scalability testing, capacity planning, and bottleneck analysis across CPU, memory, I/O, storage, database, and network layers. Drive observability strategy across metrics, logs, traces, dashboards, and alerting, while improving signal quality and reducing noisy or non‑actionable alerts.

Provide technical leadership during complex production incidents, helping teams diagnose distributed system failures, latency spikes, resource contention, database issues, network problems, and cascading failures.

Drive effective incident management, RCA/postmortem practices, corrective actions, and systemic reliability improvements, ensuring lessons from incidents translate into engineering changes. Partner with architects and senior engineers on system design and architecture reviews, challenging designs around scalability, resilience, failure modes, performance, data architecture, and operational complexity. Establish scalable approaches for performance regression detection and reliability validation within CI/CD pipelines, enabling issues to be identified earlier in the development lifecycle.

Drive capacity management and forecasting, using production telemetry, workload characteristics, and performance models to anticipate infrastructure requirements and scalability limits. Improve…