
Posted 1 month ago
Senior/ Staff Software Engineer (Data Processing)
AI Summary
Design, extend and optimize a large-scale, fault-tolerant backend system in Go that processes billions of real-time security events from hundreds of thousands of endpoints with sub-second latency.
About this role
About the role
We’re looking for an experienced Backend Software Engineer with 4+ years of experience to help drive and evolve our product. Strong hands-on experience with Go (Golang) is a must for this role. Our technology is new and rapidly evolving, so you’ll be an early contributor with meaningful impact on the architecture while solving complex technical challenges at scale.
What you’ll do
You'll design, extend and optimize a large-scale, highly scalable, and fault-tolerant system that handles large graph datasets at enterprise scale. Our product is processing billions of events from hundreds of thousands of endpoints in real-time with sub-second latency requirements
You'll architect and implement Security products to protect customers data
You'll be solving real-world scaling problems that require thorough performance analysis and troubleshooting skills
Strong hands-on experience with Go (Golang) is required. You have built and shipped production backend services using Go.
You get to work with a modern and constantly evolving microservices-based software stack which includes Go, Kubernetes, BigTable, BigQuery, Spanner, Redis, Docker, Etcd
You'll write secure-by-design hardened software that must withstand real-world attacks, while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet
Who you are
You have a strong track record in building backends that are actively used at scale. You contributed significantly to and extended their architecture.
You have experience developing large applications in Go.
You used databases at a very large scale. Knowledge of the GCP services is a plus
You have experience with profiling and optimizing the distributed code that uses large databases and streaming platforms.
If you have experience in building connectors that integrate at API level with SaaS applications commonly used in the enterprises let us know
You have hands-on experience with microservices and Kubernetes
You have excellent verbal and written communication skills in English and you can be available to frequently communicate with distributed teams in Europe and US
You thrive in fast paced environments tackling ambiguous challenges and you enjoying shipping with velocity
You have a customer centric mindset and enjoy direct feedback from customers
You are based in Bangalore for the India location (Remote for EU based talent)
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.
Skills
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