Required Senior Software Engineer
About the role
As a Senior Software Engineer on the KSPM team, you will join a mission-critical group building and scaling one of the companys core and fastest-growing security products. Our team enables customers to secure their Kubernetes environments across every major cloud provider, delivering deep visibility into cluster misconfigs, RBAC risk, admission control, compliance drift and container vulnerabilities.
In this role you will design the backend services and data models that discover, onboard, scan, and represent K8s workloads, APIs, and configurations at scale. You will own core services end-to-end, drive architectural improvements and partner with security researchers to turn complex threat vectors into actionable insights.
We are looking for backend engineers who care deeply about software design, cloud-native infrastructure, and container security. This is a high-impact role with real ownership – lead features end-to-end, mentor teammates, and help shape the technical direction of our KSPM offering.
Our Stack: Python, Go, K8s APIs, K8s ecosystem tooling (OPA/Gatekeeper, admission controllers), Docker & container runtimes, SingleStore, Postgres, Redis, Kafka, SQS, ElasticSearch, AWS, GCP, Azure.
On a typical day youll:
Design & build at scale: Design, implement, and maintain scalable backend services that discover, onboard, scan, and analyze Kubernetes environments across multi-cloud and managed clusters.
Model K8s security: Map and represent Kubernetes resources as clean data models that surface misconfigurations, exposure risks, and compliance violations.
Integrate detection engines: Integrate and evolve detection engines for container vulnerabilities, secrets, RBAC risks, misconfigurations, and compliance frameworks.
Collaborate on research & product: Partner with security researchers and product managers to translate novel findings and complex requirements into impactful features.
Design for quality: Write clean, well-tested code in Python or Go, with thoughtful abstractions and APIs that keep the system correct and maintainable as it grows.
Lead & mentor: Lead design discussions and code reviews that uphold high engineering and security standards across the team.
Own it end-to-end: Own features through their full lifecycle – from technical specification and design through implementation, testing, and release.
About the role
As a Senior Software Engineer on the KSPM team, you will join a mission-critical group building and scaling one of the companys core and fastest-growing security products. Our team enables customers to secure their Kubernetes environments across every major cloud provider, delivering deep visibility into cluster misconfigs, RBAC risk, admission control, compliance drift and container vulnerabilities.
In this role you will design the backend services and data models that discover, onboard, scan, and represent K8s workloads, APIs, and configurations at scale. You will own core services end-to-end, drive architectural improvements and partner with security researchers to turn complex threat vectors into actionable insights.
We are looking for backend engineers who care deeply about software design, cloud-native infrastructure, and container security. This is a high-impact role with real ownership – lead features end-to-end, mentor teammates, and help shape the technical direction of our KSPM offering.
Our Stack: Python, Go, K8s APIs, K8s ecosystem tooling (OPA/Gatekeeper, admission controllers), Docker & container runtimes, SingleStore, Postgres, Redis, Kafka, SQS, ElasticSearch, AWS, GCP, Azure.
On a typical day youll:
Design & build at scale: Design, implement, and maintain scalable backend services that discover, onboard, scan, and analyze Kubernetes environments across multi-cloud and managed clusters.
Model K8s security: Map and represent Kubernetes resources as clean data models that surface misconfigurations, exposure risks, and compliance violations.
Integrate detection engines: Integrate and evolve detection engines for container vulnerabilities, secrets, RBAC risks, misconfigurations, and compliance frameworks.
Collaborate on research & product: Partner with security researchers and product managers to translate novel findings and complex requirements into impactful features.
Design for quality: Write clean, well-tested code in Python or Go, with thoughtful abstractions and APIs that keep the system correct and maintainable as it grows.
Lead & mentor: Lead design discussions and code reviews that uphold high engineering and security standards across the team.
Own it end-to-end: Own features through their full lifecycle – from technical specification and design through implementation, testing, and release.
Requirements:
About you
Education & experience: Bachelors degree in Computer Science, Software Engineering, or equivalent experience, with 5+ years of professional software development experience.
Backend & distributed systems: Strong background building microservices, cloud-native services, and distributed systems that handle large-scale workloads.
Languages: Solid, hands-on experience with Python or Go.
Engineering fundamentals: Deep understanding of software design principles, concurrency models, data structures, and algorithms.
Cloud & containers: Solid familiarity with public cloud providers (AWS, GCP, Azure) and containerized workflows (Docker, container runtimes).
Mindset & ownership: Self-driven and proactive, comfortable taking a complex technical challenge e2e.
Collaboration & communication: Excellent communicator with a team-first mindset that thrives in a collaborative, cross-functional environment.
Nice to have:
Kubernetes expertise: Practical experience with Kubernetes internals, API primitives, custom controllers/operators, and managed services (EKS, GKE, AKS).
Cloud engineering: Experience with major cloud providers (AWS, GCP, Azure)
Security domain background: Prior domain knowledge in cloud security, KSPM, CSPM, or vulnerability management.
About you
Education & experience: Bachelors degree in Computer Science, Software Engineering, or equivalent experience, with 5+ years of professional software development experience.
Backend & distributed systems: Strong background building microservices, cloud-native services, and distributed systems that handle large-scale workloads.
Languages: Solid, hands-on experience with Python or Go.
Engineering fundamentals: Deep understanding of software design principles, concurrency models, data structures, and algorithms.
Cloud & containers: Solid familiarity with public cloud providers (AWS, GCP, Azure) and containerized workflows (Docker, container runtimes).
Mindset & ownership: Self-driven and proactive, comfortable taking a complex technical challenge e2e.
Collaboration & communication: Excellent communicator with a team-first mindset that thrives in a collaborative, cross-functional environment.
Nice to have:
Kubernetes expertise: Practical experience with Kubernetes internals, API primitives, custom controllers/operators, and managed services (EKS, GKE, AKS).
Cloud engineering: Experience with major cloud providers (AWS, GCP, Azure)
Security domain background: Prior domain knowledge in cloud security, KSPM, CSPM, or vulnerability management.
This position is open to all candidates.
