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# Software Engineer

- **Company:** Secure Identity, LLC.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $225,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Software Debugging, Distributed Systems, Monitoring of Systems, Python (Programming Language), Load Testing, Reliability Engineering, Datadog, Dynatrace, Microservices
- **Published:** September 17, 2026
- **Apply:** https://job-boards.greenhouse.io/clear/jobs/8128724

## About the Role

* 6+ experience writing production-grade software in a modern language, such as Java and Python.
 * Strong knowledge of distributed systems concepts (think CAP theorem), microservices architecture, and distributed tracing .
 * Experience with modern observability systems such as Datadog.
 * Experience with performance debugging tools and patterns. You should be able to read a flame graph.
 * A strong product and user-centric mindset.
 * Desire to continuously improve systems and environments.
 * A demonstrated history of owning complex, cross-functional projects and driving them from idea to production with a bias for action.
 * Excellent communication skills with the ability to explain technical concepts and influence both technical and non-technical stakeholders.
 * Comfortable operating in ambiguous environments, making thoughtful tradeoffs, and independently driving work forward.
 * A collaborative mindset with a passion for mentoring others, continuously improving engineering practices, and building products that deliver measurable customer and business impact.

## Description

* Embed within the Engineering pillar to deeply understand the product and implement observability across all key flows
 * Facilitate and build load testing cases, ensuring we understand the limits and scaling factors of our services and systems
 * Contribute to observability and support the design of new services and systems, ensuring highly reliable and scalable concepts are implemented
 * Build and lead practices such as game days, chaos engineering, and failure analysis
 * Build long-term capacity plans, with an eye toward reliability and cost-efficiency