Job Summary
We are looking for a Senior Staff Software Engineer – Performance Engineering to drive performance, scalability, and reliability for a SaaS-based Identity Security platform.
This is a hands-on engineering role requiring strong expertise in performance optimization, C#/.NET, SQL tuning, distributed systems, observability, and performance testing. The ideal candidate will also leverage AI/LLMs and Generative AI to accelerate diagnostics, automation, and root-cause analysis.
Key Responsibilities
- Identify, investigate, debug, and resolve performance bottlenecks, memory leaks, CPU spikes, thread contention, and latency issues.
- Optimize high-scale SaaS applications using strong knowledge of the .NET/C# ecosystem.
- Analyze complex SQL queries, execution plans, database contention, and deadlocks.
- Design and implement scalable performance engineering frameworks.
- Investigate complex distributed-system issues and provide actionable recommendations to development teams.
- Build AI/LLM-based diagnostic and automation solutions for performance analysis.
- Use AI tools to analyze traces, logs, and system states for predictive recommendations and remediation.
- Model realistic, high-concurrency IAM workloads, including OAuth2/OIDC, SAML, and MFA.
- Develop Performance-as-Code test suites using K6, Gatling, or JMeter.
- Integrate performance testing into CI/CD pipelines.
- Collaborate with SRE teams on chaos engineering and resiliency testing.
- Use Generative AI to create synthetic test data and realistic user behavior models.
- Leverage AI-powered APM capabilities for automated bottleneck detection and faster RCA.
- Build and maintain telemetry and performance dashboards using Datadog, Grafana, and/or OpenTelemetry.
- Recommend architectural improvements to improve scalability, reliability, and performance.
Required Qualifications
- Bachelor's degree with 5+ years of experience, Master's degree with 3+ years, or PhD in a relevant field.
- 3+ years of dedicated experience in system performance optimization and software development.
- Strong experience with at least one programming language: C#/.NET, Java, or Python.
- Willingness to work extensively with the C#/.NET technology stack.
- Strong SQL query optimization and database performance tuning skills.
- Excellent debugging, analytical, and problem-solving abilities.
- Strong understanding of system design and software design patterns.
- Experience working in high-performing Agile engineering teams.
Preferred Skills
- Experience with high-throughput SaaS architectures.
- Experience in Identity & Access Management (IAM), authentication, or authorization.
- Knowledge of OAuth2/OIDC, SAML, MFA, or related identity technologies.
- Strong understanding of AI/LLMs, Generative AI, and prompt engineering.
- Hands-on experience with K6, Gatling, or JMeter.
- Experience with Chaos Engineering, such as LitmusChaos or Chaos Mesh.
- Experience with Datadog, Grafana, OpenTelemetry, or similar observability platforms.
- Experience with GitHub Actions, GitLab CI, or other CI/CD platforms.
Ideal Candidate
We are looking for someone who combines:
Performance Engineering + Backend Development + .NET/C# + SQL Optimization + Distributed Systems + Observability + Performance Testing
Candidates from SaaS, Cybersecurity, IAM, Cloud, Product Engineering, and high-scale distributed systems environments are encouraged to apply.
Work Location: In person
