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Senior Software Engineer (Cloud API)

๐Ÿ•’ 27 days ago
GoPythonJavaRust
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๐Ÿ“œ Description

  • Design and build scalable, reliable backend systems that protect enterprise data across public clouds, SaaS applications, and AI agents.
  • Develop security capabilities that provide visibility and control over AI agentsโ€™ access to sensitive enterprise data.
  • Build and optimize distributed services that process large volumes of data.
  • Write secure, production-ready code and troubleshoot performance and scalability challenges.
  • Contribute to technical design and architecture decisions with engineering teams.

๐Ÿ› ๏ธ Requirements

  • You have 5+ years of software engineering experience building scalable backend systems and distributed applications.
  • You have experience developing cloud-native or SaaS applications, preferably in security or data protection.
  • You have experience with AI agents, agentic applications, or AI security, including familiarity with agent frameworks, tool calling, or MCP.
  • You have experience integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs.
  • You have strong programming skills in Go, Python, Java, or Rust, with Go preferred.
  • You have hands-on experience with microservices, RESTful APIs, Kubernetes, and public cloud platforms.
  • You are familiar with distributed databases such as Bigtable, BigQuery, Spanner, Redis, or graph databases.
  • You have strong debugging, performance optimization, and problem-solving skills, with the ability to independently own and deliver technical solutions.
  • You communicate effectively and collaborate well with distributed teams.
Full job description

About the role

Weโ€™re looking for an experienced Senior Software Engineer with 5+ years of experience to help build and evolve our data and AI security product. Youโ€™ll work on scalable backend systems that protect enterprise data across cloud environments, SaaS applications, and AI agents. As an early contributor, youโ€™ll have the opportunity to influence technical decisions and solve complex engineering challenges at scale.

What youโ€™ll do

  • Design and build highly scalable, reliable, and fault-tolerant backend systems to protect enterprise data across public clouds (AWS, GCP, Azure), SaaS applications, and AI agents.

  • Develop security capabilities that provide visibility and control over how AI agents access, process, and share sensitive enterprise data.

  • Build and optimize distributed services that process large volumes of data with high performance and reliability.

  • Work with a modern microservices-based stack including Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, and Docker.

  • Write secure, production-ready code and troubleshoot complex performance and scalability challenges.

  • Collaborate with engineering teams to contribute to technical design and architecture decisions.

Who you are

  • You have 5+ years of software engineering experience building scalable backend systems and distributed applications.

  • You have experience developing cloud-native or SaaS applications, preferably in security or data protection.

  • You have experience with AI agents, agentic applications, or AI security, including familiarity with agent frameworks, tool calling, or MCP.

  • You have experience integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs.

  • You have strong programming skills in Go, Python, Java, or Rust, with Go preferred.

  • You have hands-on experience with microservices, RESTful APIs, Kubernetes, and public cloud platforms.

  • You are familiar with distributed databases such as Bigtable, BigQuery, Spanner, Redis, or graph databases.

  • You have strong debugging, performance optimization, and problem-solving skills, with the ability to independently own and deliver technical solutions.

  • You communicate effectively and collaborate well with distributed teams.

Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It.
Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.

AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.

Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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