Jobs at HYCU

Design, build, and maintain automated test frameworks and suites to validate end-to-end AI and data pipelines. Test API/back-end functionality, model inference, and AI outputs for accuracy, regressions, and anomalies. Collaborate with engineers to improve testability, define quality metrics and dashboards, monitor system health, and proactively identify quality risks.

Design, build, and operate scalable, reliable infrastructure for training, serving, and deploying Generative AI and ML models. Optimize inference performance and costs, implement observability and CI/CD for model pipelines, and collaborate with AI, data, and DevOps teams to productionize models and ensure system reliability.

As a Senior Java Engineer, you will design and develop scalable backend services and microservices for HYCU's cloud data protection platform while collaborating with various teams and optimizing system performance.

The role involves serving as a strategic HR Business Partner for the GTM organization, utilizing data for planning and performance management, coaching leaders, supporting development initiatives, managing employee relations, and facilitating hiring processes.

The Senior Legal Counsel will manage commercial contracting, advise on compliance and risk matters, and enhance HYCU's IP strategy while collaborating with various business teams.

Lead and grow cloud-native engineering teams to deliver scalable, high-performance SaaS data protection systems. Combine hands-on technical leadership with people management, partner with Product, drive execution, adopt AI-enabled practices, optimize performance, and improve developer experience, reliability, and cross-team collaboration.

Serve as a technical customer advocate to drive adoption, value, and renewals of HYCU SaaS and enterprise cloud solutions. Provide architecture guidance, troubleshoot complex multi-cloud data protection issues, promote consumption, enable customers and partners, and collaborate with product, engineering, and account teams to ensure successful deployments and outcomes.

Define and own end-to-end architecture for generative AI data-insight platforms (LLMs, RAG, knowledge graphs, agents). Design scalable cloud-native systems, ensure reliability/security/compliance, provide technical leadership, create reference architectures, collaborate with product/security, review implementations, and mitigate technical risks.

Design, maintain, and evolve knowledge schemas, graphs, and semantic layers to ground LLM-driven AI systems. Collaborate with AI, data, and product teams to ensure explainability, lineage, and high-quality knowledge coverage for enterprise-scale retrieval and reasoning.

The Account Executive will drive revenue growth by acquiring new accounts in the DACH region, leveraging understanding of data protection and engaging with stakeholders to close deals.

Design, build, and maintain scalable batch and real-time data pipelines and platforms to ensure data quality, availability, and AI-readiness. Support analytics and Generative AI workloads, enable feature stores and embeddings, monitor pipeline performance, resolve data issues, and implement validation, documentation, and lineage standards while collaborating with AI, analytics, and product teams.

Join HYCU's Talent Community to be notified of future opportunities in a leading SaaS data protection company, emphasizing core values of authenticity, grit, and empathy.

As an Account Executive, you will drive revenue growth by acquiring new accounts, manage pipeline generation, and build strategic relationships with key stakeholders. You will present solutions to meet client needs in the SaaS and technology sectors, focusing on data protection.

Manage day-to-day Bangalore office operations, vendor and IT coordination, onboarding/offboarding, employee support, HR administration, events, and workplace experience while partnering with global HR and Operations teams.

Implement responsive, accessible, high-performance front-end interfaces and reusable UI components for AI-driven data-insight products. Translate designs into production code, collaborate with cross-functional teams, optimize UI performance for data-intensive workflows, and maintain front-end architecture and best practices.

Design, build, and own cloud-native data protection SaaS features. Develop in C#/.NET (and Python), implement multithreaded async code, use containers and CI/CD, integrate with hyperscaler clouds (Azure), ensure scalability/security, troubleshoot production, and collaborate across teams.