דרושים Big Data Software Engineer

• 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.

You’ll contribute to a high-impact codebase that scans, analyzes, and interprets complex Kubernetes configurations and behaviors at scale. This is a unique opportunity to shape the future of Orca’s KSPM product – owning core backend components, driving architectural improvements, and delivering features that address real-world customer needs.

: Python, Go, K8s APIs, SingleStore, Postgres, Redis, Kafka, AWS, GCP, Azure, ElasticSearch

• Design, implement, and maintain scalable backend services for onboarding, scanning, and analyzing Kubernetes environments
• Collaborate with security researchers and product managers to translate complex requirements into impactful product features
• Write clean, efficient, and testable code, ensuring high performance and reliability
• Participate in design and code reviews to uphold technical excellence and team standards
• Lead features end-to-end – from design and planning to deployment and monitoring
• Improve system observability, performance, and resilience in production environments
• Work closely with cross-functional teams to continuously enhance product capabilities and customer value
• Stay current with developments in the Kubernetes ecosystem and cloud security landscape

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5+ years of professional software development experience
• Hands on experience with Python or Go – Must
• Proven experience with microservices architecture and cloud-native systems
• Solid foundation in software design principles, concurrency, memory management, data structures, and algorithms
• Excellent communication skills and a collaborative, team-first mindset

• Experience with major cloud providers (AWS, GCP, Azure) and managed Kubernetes solutions (EKS, GKE, AKS)
• Familiarity with Kubernetes internals and container technologies
• Background in cybersecurity, especially in cloud security domains

• 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.

You’ll lead a group of talented senior engineers, providing both technical and people leadership while staying hands-on in design and implementation. Together, you’ll drive key architectural decisions and evolve our ingestion and processing layers to support real-time pipelines, improve observability, and enable greater horizontal scalability.

Our Stack:

• Lead, mentor, and develop a team of senior software engineers through one-on-ones, feedback, and technical guidance
• Own and drive the delivery of high-impact projects end-to-end, from design through deployment and production monitoring
• Design and review architecture for large-scale distributed systems focused on data ingestion, normalization, and availability
• Collaborate cross-functionally with Product, SRE, and other R&D teams to define priorities, interfaces, and success metrics
• Ensure the reliability, scalability, and observability of core services, introducing SLOs and best practices for operations
• Participate in incident management, postmortems, and continuous improvement initiatives
• Foster a culture of technical excellence and accountability within the team
• Write and review clean, maintainable, and tested, take part of the on-call rotation

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 7+ years of professional software development experience, including at least 2 years in a team lead role
• Proven experience leading teams that build and operate large-scale, data-intensive systems
• Strong understanding of distributed systems design, concurrency, synchronization, data modeling, and performance optimization
• Hands-on experience with at least one of: Python, Go – Must .
• Experience with distributed data processing tools like Kafka (Advantage)
• Hands-on experience with databases such as SingleStore, Postgres, Redis
• Solid understanding of cloud-native architectures and services (AWS preferred)
• Excellent communication and collaboration skills, with the ability to align engineers, product managers, and stakeholders
• Experience mentoring engineers and guiding technical growth
• Comfortable balancing hands-on technical work with people and project leadership responsibilities
• Experience with real-time data processing and streaming pipelines (Advantage)

• 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.

As a Product & Data Analyst at Orca, you will take ownership of product analytics at Orca, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.

In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. You’ll also take responsibility for the underlying data stack-writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.

• 3-5 Years of experience as a Data Analyst, preferably from a SaaS company
• Proven experience in SQL writing, specifically in querying large and complex data sets
• Experience in BI tools and in DBT/Python
• Looker proficiency – an advantage
• Ability to translate analytic conclusions to business insights and actions along with strong statistical analysis skills and self-learning capabilities
• B.Sc./BA in industrial/information systems engineering, statistics or equivalent
• Experience in operational or cross-department roles – an advantage
• Great communication skills
• Business orientation and a passion for data analytics
• High level of spoken and written English

• 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.

: Python, Linux & Windows internals, Container Runtimes, Postgres, Redis, Kafka, AWS, GCP, Azure

• Design, implement, and maintain scalable backend services for scanning and analyzing cloud workloads (VMs, containers, buckets, databases, etc..)
• Build infrastructure for reconstructing file systems across different operating systems (Linux and Windows) to enable deep analysis
• Integrate security detection engines for vulnerabilities, secrets, compliance, and malware
• Collaborate with security researchers and product managers to translate complex requirements into impactful product features
• Write clean, efficient, and testable code, ensuring high performance and reliability
• Participate in design and code reviews to uphold technical excellence and team standards
• Lead features end-to-end – from design and planning to deployment and monitoring
• Improve system observability, performance, and resilience in production environments
• Stay current with developments in the cloud security landscape, vulnerability management, and OS internals

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5+ years of professional software development experience
• Strong experience building backend services or distributed systems
• Hands-on experience with Python
• Solid understanding of operating system internals
• Familiarity with vulnerability management concepts or tooling
• Experience with major cloud providers (Amazon Web Services, Google Cloud, Microsoft Azure)
• Strong foundation in software design principles, concurrency, memory management, data structures, and algorithms
• Passionate about building great products and solving real-world security challenges
• Self-driven, proactive, and comfortable taking ownership and initiative
• A strong communicator and a true team player who thrives in a collaborative environment

• Familiarity with container internals and runtime security
• Experience with large-scale file system analysis, malware analysis, or digital forensics
• Background in cybersecurity, especially in cloud security domains

As a Staff DevOps Engineer, you will own production infrastructure across our cloud environments and work closely with platform, dev-infra and automation tests teams to drive operational excellence. You need to be ready to lead cross-team initiatives, proactively identify areas for optimization, and define scope both for yourself and the team.

You will be responsible for:

• Keeping production stable and working, having a dedicated team as a first line of support
• Improvement of existing CI/CD processes based on the feedback from product and infra teams
• Improving the organization's FinOps posture

Requirements:

• 7+ years of experience as a DevOps Engineer
• Experience with FinOps best practices, including identifying excessive cloud spending across different categories
• Experience leading complex infrastructure projects (e.g. migration from one cloud provider to another)
• Experience with AWS: RDS, Networking, EKS, EC2, Fargate
• Experience implementing and designing disaster recovery strategies
• Experience with IaaC-based infrastructure
• Proficiency in Python/Go, as most of the infrastructure components are written in these languages