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Senior Architect

HighRadius•Hyderabad, Telangana, India
Full-time7-15
👁️ 0 views•📝 0 applications•Posted 10/2/2026•Expires 11/1/2026
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Job Description

Job Summary We are seeking a hands-on, high-impact Senior Technical Architect (Platform Backend) to lead the architecture, scaling, and continuous evolution of our core platform infrastructure. In this role, you will operate at the intersection of high-throughput transactional systems and cloud-native architecture. You will be responsible for driving high-level and low-level designs (HLD/LLD), establishing engineering guardrails, optimizing complex data pathways, and collaborating directly with product and engineering leaders to ensure absolute reliability, performance, and low latency at scale. Key Responsibilities: System Design & Architectural Leadership: Own the end-to-end High-Level Design (HLD) and Low-Level Design (LLD) for core platform services, asynchronous processing components, and enterprise ERP/bank integration adapters. Facilitate a smooth transition from monolithic legacy boundaries into clean, highly cohesive microservices domains without impacting uptime or data integrity. Establish architectural governance, lead Architecture Review Boards (ARBs), and review critical pull requests to safeguard code quality, clean architecture principles, and SOLID design patterns. Scalability, Performance & Reliability: Architect multi-tenant, cloud-native frameworks capable of handling high-concurrency and petabyte-scale financial transactions with strict SLAs. Diagnose and eliminate system bottlenecks across distributed transactions, locking models, memory management, and network payloads. Oversee zero-trust security compliance, fault-tolerance mechanisms, automated failover policies, and disaster recovery readiness. Data & Integration Architecture: Design robust relational (PostgreSQL/MySQL) and non-relational database schemas, complex indexing strategies, data partitioning models, and archival frameworks. Scale event-driven architectures utilizing Apache Kafka or similar messaging systems to manage reliable real-time data streaming and asynchronous decoupling. Optimize high-throughput caching architectures (using Redis) to minimize database overhead for intensive financial computations. Engineering Culture & Execution: Act as a technical multiplier by mentoring senior engineers, driving proof-of-concepts (PoCs) for emerging technologies, and cultivating an environment of fast, first-principles execution. Collaborate closely with Product Management to scope technical roadmaps, decompose epic requirements into modular milestones, and proactively mitigate technical debt. Required Skills A technically deep engineering/product leader with: Experience: 12 - 16 years of professional software engineering experience, with a minimum of 3 years successfully operating in a Technical Architect or Principal Engineer capacity for enterprise SaaS products. Core Backend Stack: Expert-level mastery of Java (Java 17+), Spring Boot, Spring Cloud, and enterprise-grade backend frameworks. A profound understanding of JVM internals, garbage collection tuning, multi-threading, and high-concurrency programming models. Distributed Systems & Messaging: Proven experience in building distributed microservices, RESTful APIs, gRPC, and event-driven architectures utilizing Apache Kafka or RabbitMQ. Database & Storage Expertise: Advanced proficiency in SQL and NoSQL storage engines (PostgreSQL, MySQL, MongoDB, Redis). Hands-on capability with query execution plans, partitioning, and database tuning under heavy write/read loads. Cloud & DevOps Infrastructure: Solid production experience with AWS (or Azure/GCP), containerization technologies (Docker), cluster orchestration (Kubernetes), and enterprise CI/CD deployment pipelines.

Required Skills

High-Level DesignLow-Level Designmicroservicescloud-nativePostgreSQLMySQLdata integritySOLID design patternszero-trust securitydisaster recoveryasynchronous processingenterprise ERP integrationhigh-concurrencypetabyte-scale transactionsfault-toleranceautomated failoverdata partitioningcomplex indexing

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