Softility Tech
Product / Platform Architect
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Hyderabad, Telangana, India
Work mode:
Hybrid
Published on:
26 September 2026
What they need
Product / Platform Architect
Own the technical architecture of an enterprise operations platform spanning agentic workflows, integrations, knowledge systems, distributed services, and customer-hosted Kubernetes deployments.
This is a hands-on architecture role.
Responsibilities
- Own platform architecture, service boundaries, interfaces, and major technical decisions.
- Guide architecture across agent orchestration, knowledge graph, integrations, APIs, data services, and deployment.
- Ensure the platform remains deployable across cloud VPC, on-premises, and restricted environments.
- Define patterns for retries, idempotency, state management, failure recovery, auditability, security, and observability.
- Maintain abstraction from individual LLM providers and external tool vendors.
- Review major designs and critical code.
- Identify and prioritize architectural debt.
- Work with engineering and product on technical feasibility and sequencing.
Mandatory technical skills and experience
10+ years building production software, including significant distributed-systems experience.
Demonstrated architecture ownership for a production platform.
Strong knowledge of:
distributed systems
event-driven and asynchronous architectures
APIs and service boundaries
Kubernetes and containers
cloud networking
authentication, authorization, RBAC, secrets and auditability
production observability and troubleshooting
Working understanding of:
LLM application architecture
tool calling and agent workflows
retrieval/context architectures
model abstraction
human-in-the-loop execution
Experience evolving an existing platform, not only designing greenfield systems.
Strong enough coding ability to inspect, prototype, debug, and review production code.
Preferred
- SRE, DevOps, observability, infrastructure, or incident-management experience.
- Knowledge graphs or graph databases.
- Customer-hosted enterprise software.
- AI/agentic systems in production.
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