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Senior Software Architect

Hiring from
India
Work type
Hybrid
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Why Join HYCU?

HYCU, Inc. is the #1 AI Resilience Company that protects, uncovers, and recovers the data that runs your business. With one platform for backup and recovery for more than 100 workloads across SaaS applications, AI systems, cloud environments, and on‑premises infrastructure. HYCU reduces cost for customers by eliminating complex, out‑of‑phase data protection operations. With HYCU R‑Cloud, customers protect any workload, recover data to a location of their choice, and connect and correlate that data to streamline compliance and governance processes. When disruption occurs, customers safely and securely resume operations quickly and efficiently. Based in Boston, HYCU is trusted by thousands of enterprises and government agencies worldwide.

Overview

We're hiring a Senior Software Architect – Cloud SaaS & Agentic AI to define and drive the architecture of HYCU's next-generation cloud-native SaaS and agentic AI platforms. This role sits at the intersection of distributed systems, enterprise SaaS, data platforms, and Generative AI. You will define architectures that scale across large enterprise environments while meeting demanding requirements for security, reliability, performance, observability, compliance, and cost efficiency.


You will design and evolve highly scalable SaaS services, APIs, data and event platforms, and the architectural foundations required to build AI-native capabilities including LLM-powered applications, knowledge systems, and autonomous AI agents.


The role is first and foremost about exceptional software and systems architecture. You should have deep experience building distributed cloud services at scale and be comfortable working across engineering, product, security, data, and AI teams. Deep AI expertise is valuable, but strong architectural judgement and distributed-systems experience are essential.


Location

  • Bengaluru, India. Hybrid: 3 days onsite, 2 days remote.

What You'll Do:

SaaS Architecture

  • Define architectures for multi-tenant, cloud-native SaaS services operating at enterprise scale.
  • Design tenant isolation, data isolation, service boundaries, authorization models and scalability strategies.
  • Define APIs, asynchronous processing, event-driven architectures and service-to-service communication patterns.
  • Design systems capable of supporting large and highly variable workloads with elastic scaling and predictable performance.
  • Establish patterns for availability, disaster recovery, data durability and zero/low-downtime evolution of services.
  • Make architectural decisions that balance performance, scalability, reliability and cloud cost.

Agentic AI Architecture

  • Define the architecture for AI-native and agentic capabilities, including AI agents, agent orchestration, tool execution, knowledge retrieval and LLM integration.
  • Design secure architectures for agents interacting with enterprise data, SaaS applications and platform services.
  • Establish patterns for RAG, embeddings, vector search, knowledge graphs and contextual retrieval where appropriate.
  • Define controls for agent identity, authorization, permissions, tool access and tenant isolation.
  • Design for agent observability, auditability, evaluation, reliability and cost management.
  • Establish architectural patterns for human-in-the-loop workflows, agent autonomy, escalation and failure
  • Evaluate emerging AI technologies and determine where they provide meaningful product or platform value.
  • Work closely with AI/ML engineers to translate AI capabilities into production-grade, scalable SaaS services.

What We're Looking For:

  • 10+ years of software engineering experience, with significant experience as a Software Architect, Principal Engineer or equivalent technical leadership role.
  • Proven track record designing and delivering large-scale cloud-native SaaS platforms from architecture through production.
  • Deep expertise in distributed systems, microservices, APIs, event-driven architectures and asynchronous processing.
  • Experience designing multi-tenant SaaS architectures, including tenant isolation, authorization, scalability and data partitioning.
  • Strong experience with at least one major cloud platform (AWS, Azure or GCP) and modern cloud-native infrastructure.
  • Strong understanding of data-intensive systems, including distributed storage, databases, caching, search, data pipelines and data integration.
  • Experience designing systems for high availability, reliability, observability, security and cost efficiency.
  • Proven ability to solve complex scalability and performance problems involving high concurrency, large data volumes and unpredictable workloads.
  • Strong understanding of enterprise security, identity, authorization, privacy and compliance.
  • Proven ability to establish technical direction and influence senior engineering teams without direct authority.

Nice to Have: AI / Agentic Architecture

  • Practical understanding of LLM-based application architectures and AI agents.
  • Familiarity with RAG, embeddings, vector databases, knowledge graphs and agent orchestration.
  • Understanding of AI-specific concerns including evaluation, hallucination mitigation, grounding, observability, security and cost management.
  • Experience integrating AI capabilities into production software systems is strongly preferred
  • Excellent ability to communicate architectural trade-offs to engineers, product leaders and executives

Who We Are:

Our Core Values: Authenticity, Grit and Empathy are at the heart of everything we do at HYCU. All of us at HYCU take ownership in shaping and contributing to our culture.
We pride ourselves in developing an inclusive and diverse company that supports our
employees and customers to do extraordinary things.

The following is how we approach each Core Value:

  • Authenticity – To be authentic means to be who we are and do it well. Focus your energy on being who YOU are. Be true to yourself. Authenticity also extends to our products. Understanding where we are truly the best fit for our customers and when we are not. And finally, authenticity in relationships: ensuring that we are honest and do what we say we’re going to do.
  • Grit – To win we need to want it. Every team member needs to be able to jump in and help at every turn. Whether it’s staying late to help a colleague or customer or finding a better process and making sure it’s communicated cross-functionally. You just have to do it and love it…and never stop trying.
  • Empathy – We need to care about each other, about our clients, about our business, and about the world around us. That might seem like a tall order, but if we don’t live in a constant state of empathy, if we don’t strive to truly put ourselves in another person’s shoes, we cannot truly serve the market.

"We are at our best when we stay true to our Core Values."~ Simon Taylor, CEO

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