Senior Software Engineer (Cloud API)
Cyberhaven27 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design and build scalable, reliable, and fault-tolerant backend systems for protecting enterprise data across public clouds, SaaS applications, and AI agents.
- Develop security capabilities that provide visibility and control over AI agents’ access to, processing of, and sharing of sensitive enterprise data.
- Build and optimize distributed services that process large volumes of data with high performance and reliability.
- Develop with Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, and Docker in a microservices-based environment.
- Write secure production-ready code and troubleshoot performance and scalability issues.
- Contribute to technical design and architecture decisions with distributed engineering teams.
Requirements
- 5+ years of software engineering experience building scalable backend systems and distributed applications.
- Experience developing cloud-native or SaaS applications, preferably in security or data protection.
- Experience with AI agents, agentic applications, or AI security, including agent frameworks, tool calling, or MCP.
- Experience integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs.
- Strong programming skills in Go, Python, Java, or Rust; Go is preferred.
- Hands-on experience with microservices, RESTful APIs, Kubernetes, and public cloud platforms.
- Familiarity with distributed databases such as Bigtable, BigQuery, Spanner, Redis, or graph databases.
- Strong debugging, performance optimization, and problem-solving skills, with the ability to independently own and deliver technical solutions.
- Effective communication and collaboration skills for working with distributed teams.
Tech Stack
Categories
About Cyberhaven
Cyberhaven builds an enterprise data security platform that traces data lineage and enforces policy to prevent loss and insider risk across endpoints, SaaS, and cloud. It sells software and SaaS subscriptions to security teams to replace or augment DLP and DSPM with real-time protection that adapts to workflow context, including human and AI agent activity. Founded in 2016 and headquartered in Palo Alto, California, the company is privately held.