Associate Director, Software Architecture

Volante Technologies

. Design and evolve large-scale distributed systems focused on scalability, reliability, and performance, including AI/LLM-enabled components where appropriate .

Posted 10/12/2026full-timeChennai • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in designing and evolving large-scale distributed systems with a focus on scalability, reliability, and performance. Proficient in Java, Spring Boot, and messaging solutions, with a strong understanding of Kubernetes and observability practices.

Highest-signal resume keywords

Large-Scale Distributed Systems DesignJava and Spring Boot ProficiencyApache Kafka and Messaging Solutions ExpertiseKubernetes and Containerization KnowledgeObservability Practices Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaSpring BootApache KafkaRabbitMQIBM MQActiveMQApache CamelKubernetesPostgreSQLMongoDB

Soft Skills

MentoringCollaborationProblem-Solving

Tools & Technologies

DockerCI/CD PipelinesPrometheusGrafanaJaegerZipkinELK/EFK

Industry Keywords

Financial MessagingPaymentsRegulated Financial TechnologyEvent SourcingStream Processing

Tech Stack

Tools & technologies

ApacheDistributed SystemsDockerGrafanaJavaKafkaKubernetesMicroservicesMongoDBMySQLNoSQLOraclePostgresPrometheusRabbitMQRDBMSSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

Design and evolve large-scale distributed systems focused on scalability, reliability, and performance, including AI/LLM-enabled components where appropriate
Make architectural decisions using proven patterns such as Event-Driven Architecture, CQRS, Saga, Circuit Breaker, and API Gateway
Create architecture blueprints, sequence diagrams, and technical specifications
Participate in code reviews, technical discussions, and sprint ceremonies
Design and implement messaging solutions using Apache Kafka, RabbitMQ, IBM MQ, and ActiveMQ
Use Apache Camel for enterprise integration patterns, routing, and transformation pipelines
Ensure high-throughput, fault-tolerant messaging architectures meeting SLA requirements
Develop and review production-quality Java and Spring Boot code
Champion microservices best practices, including API design, service decomposition, and inter-service communication
Conduct and lead Proof of Concepts for new frameworks, libraries, technologies, and AI/LLM-based approaches
Design and oversee Docker and Kubernetes deployment strategies
Manage Kubernetes workload orchestration, autoscaling, resource quotas, and namespace design
Collaborate with DevOps and platform teams on CI/CD pipelines and infrastructure-as-code practices
Establish observability frameworks covering distributed tracing, structured logging, and metrics collection
Define performance monitoring and alerting standards
Conduct Java performance profiling and tuning, including JVM, heap, and GC optimization
Lead benchmarking exercises and resolve bottlenecks in high-traffic, latency-sensitive systems
Analyze JVM memory leaks and define memory-efficient programming practices
Design relational data models and optimize PostgreSQL, Oracle, or MySQL queries
Architect MongoDB solutions, including schema design, indexing, and aggregation pipelines
Define data access patterns, connection pooling, and caching layers
Ensure data consistency, integrity, and resilience across distributed data stores
Identify technology gaps, prototype solutions with engineering teams, and translate PoC outcomes into architectural recommendations and implementation roadmaps
Mentor engineering teams through complex design and delivery challenges

Requirements

What you’ll need

12 to 16 years of progressive hands-on experience in software engineering with a strong architecture track record
Currently active in coding and engineering — not purely a management or advisory role
Demonstrable expertise in Apache Kafka, RabbitMQ, IBM MQ, ActiveMQ, and Apache Camel
Strong proficiency in Java and Spring Boot for building enterprise-grade microservices and APIs
Proven experience designing large-scale distributed systems that handle high volumes and strict SLAs
Deep knowledge of Kubernetes and containerization including production cluster operations
Expertise in observability practices — distributed tracing (e.g., Jaeger, Zipkin), logging (ELK/EFK), and metrics (Prometheus/Grafana)
Strong understanding of JVM internals, memory management, and performance tuning techniques
Solid experience with both RDBMS (PostgreSQL, MySQL, Oracle) and NoSQL databases (MongoDB)
Ability to make architecture decisions grounded in established patterns and proven engineering principles
Experience conducting and leading Proof of Concepts (PoCs) end-to-end
Comfortable using AI/LLM tools (e.g., GitHub Copilot, ChatGPT, Claude, or similar) in day-to-day work for design, coding, reviews, documentation, and debugging
Demonstrated ability to quickly understand, learn, and implement AI/LLM-based solutions and integrate them pragmatically into enterprise architectures when they add clear value
Experience in payments, financial messaging, or regulated financial technology platforms
Exposure to event sourcing, stream processing (e.g., Kafka Streams, Apache Flink)
Experience with chaos engineering and resilience testing practices
Hands-on experience integrating LLM APIs or using AI frameworks (e.g., Spring AI, LangChain4j, or similar) in Java-based systems
Familiarity with vector databases or vector search (e.g., pgvector, Weaviate, Pinecone, Milvus) and RAG patterns
Exposure to responsible-AI practices in production (data governance, auditability, cost/latency monitoring, human-in-the-loop where needed)

Benefits

Comp & perks

Competitive compensation
Health benefits
Remote/flexible work options
Professional development support