דרושים Experienced Verification Engineer

Highlights

• High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud so they set out to carve a new path. We’re 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. We’re 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.

• Architect for scale & reliability: Design, review and validate core platform components to support rapid growth in traffic, data volume, and feature velocity.
• Elevate engineering standards: Define and evangelize coding standards, CI/CD pipelines, test automation frameworks, and observability practices.
• Lead reviews & mentor: Conduct regular architecture and code reviews; coach senior engineers and drive continual improvement across teams.
• Cross-functional collaboration: Work with product, security, and infrastructure teams to align on non-functional requirements (reliability, latency, throughput).
• Build tooling & automation: Identify workflow gaps and develop internal tools or frameworks to automate testing, deployment, monitoring, and remediation.
• Monitor & optimize: Analyze system metrics, troubleshoot production incidents, and recommend performance and reliability improvements.
• Prototype & validate: Run targeted proof-of-concepts focused on operational excellence, benchmark solutions and recommend adoption plans.

About you

• Deep systems expertise: 8+ years building large scale distributed or cloud native services, with hands on experience in microservices, event-driven architectures, and API design.
• Proven impact: Demonstrable track record of driving significant performance, reliability, or scalability improvements in production environments.
• Hands-on leadership: You write code, debug complex issues, and prototype solutions alongside your peers—and you set the bar for craftsmanship.
• Standards & tooling advocate: Passionate about CI/CD, test automation, observability, and incident post-mortem culture.
• Excellent communicator: Able to translate deep technical topics into clear recommendations for engineers, executives, and non-technical stakeholders.
• Autonomous & strategic: Self-directed with a strong internal compass; you balance short-term delivery with long-term platform health and roadmap vision.
• Service-minded collaborator: Humble, approachable, and eager to uplift teams through mentorship and shared best practices.

• 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

• Bachelor’s degree in Computer Science, Engineering or relevant experience
• 5+ years of professional software development experience
• Proven experience building data-intensive systems at scale
• Experience in working with micro-service architecture & cloud-native services
• Solid understanding of software design principles, concurrency, synchronization, memory management, data structures, algorithms, etc
• Hands-on experience with databases such as SingleStore, Postgres, Elasticsearch, Redis
• Experience with Python / Go (Advantage)
• Experience with distributed data processing tools like Kafka (Advantage)