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We are now seeking a highly motivated Lead Infrastructure & Simulation Technology expert to spearhead the evaluation and deployment of cutting-edge tools and infrastructure for our NIC architecture performance modeling team.

What you'll be doing:

Hands-on infrastructure development and maintenance using cutting-edge technologies.

Identify, evaluate, and integrate AI/ML tools specifically for hardware simulation workflows. Architect and manage the underlying infrastructure to support internal Large Language Model (LLM) projects.

Optimize SW Development Life Cycle (SDLC) & deployment: Architect and implement advanced Git branching strategies, robust CI/CD pipelines, and Docker containerization to streamline the software development lifecycle and accelerate deployment of simulation tools.

Architect scalable simulation automation: design and implement orchestration frameworks for executing large-scale hardware simulations efficiently and reliably.

We are seeking a skilled and motivated Automation Practical Engineer (Operator) with 5 years of experience to join our group. In this role, you will play a crucial part in ensuring the reliability and performance of our products through comprehensive automated testing and taking full responsibility for regression cycles. You will work with a variety of operating systems and projects, ranging from drivers to user applications, and will develop new automation frameworks for regression testing in complex environments.

What youll be doing:

Monitoring & Debugging: Monitor and debug night regression runs, quickly identifying and resolving issues to maintain continuous testing cycles.

Automation Development: Design, develop, and implement automated testing frameworks for regression testing, particularly over a simulated Virtual Machine environment, to ensure the stability and performance of our products.

Complex Configuration Management: Gain a deep understanding of complex customer configurations to tailor and optimize automated test environments.

Multi-OS Environment: Manage and execute tests across multiple operating systems, including Linux, Windows, VMware, and FreeBSD, to ensure comprehensive coverage and compatibility.

Cross-Project Collaboration: Work across various projects, from low-level driver testing to high-level user application verification, ensuring that all components of the product meet our stringent quality standards.

Required Senior Software Engineer
Were looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
Highlights:
High-growth: Over the past seven years, weve consistently achieved milestones that take other companies a decade or more. During this time, weve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
Disruptive innovation: Our founders saw that traditional security didnt work for the cloud, so they set out to carve a new path. Were relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. Were backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.
About the role:
As a Senior Software Engineer on the Data Platform, youll be part of one of Orcas most strategic engineering groups, tasked with building the core data ingestion and processing infrastructure that powers our entire platform. The team is responsible for handling billions of cloud signals daily, ensuring scalability, reliability, and efficiency across Orcas architecture.
Youll work on large-scale distributed systems, own critical components of the cloud security data pipeline, and drive architectural decisions that influence how data is ingested, normalized, and made available for product teams across Orca. Were currently in the midst of a major architectural transformation, evolving our ingestion and processing layers to support real-time pipelines, improved observability, and greater horizontal scalability, and were looking for experienced engineers who are eager to make foundational impact!
Our Stack: Python, Go, Rust, SingleStore, Postgres, ElasticSearch, Redis, Kafka, AWS
On a typical day youll:
Write clean, concise code that is stable, extensible, and unit-tested appropriately
Write production-ready code that meets design specifications, anticipates edge cases, and accounts for scalability
Diagnose complex issues, evaluate, recommend and execute the best solution
Implement new requirements within our Agile delivery methodology while following our established architectural principles
Lead initiatives end to end from design and planning to implementation and deployment, while aligning cross-functional teams and ensuring technical excellence
Test software to ensure proper and efficient execution and adherence to business and technical requirements
Provides input into the architecture and design of the product; collaborating with the team in solving problems the right way
Develop expertise of AWS, Azure, and GCP products and technologies.