{"id":2428433,"url":"https://alion.io/job/volante-technologies-associate-director-software-architecture","title":"Associate Director, Software Architecture","company":{"id":172517,"name":"Volante Technologies","domain":"volantetech.com","url":"https://alion.io/company/volante-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"C","score":57,"open_postings":14,"ghost_share":0.714,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":132000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ActiveMQ","optional":false},{"name":"Apache Camel","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Docker","optional":false},{"name":"Grafana","optional":false},{"name":"IBM MQ","optional":false},{"name":"Jaeger","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"RabbitMQ","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spring Boot","optional":false},{"name":"Chaos Engineering","optional":true},{"name":"COBOL","optional":true},{"name":"Flink","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"Milvus","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"RAG","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-10-12T00:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-17T09:54:32Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":5},"description":"About Us\nVolante Technologies is the leading global provider of low-code cloud Payments as a Service solution for financial businesses. We are disruptors and innovators and we are growing fast. For the last three years, we have been the #1 seller of wholesale payment systems worldwide. At Volante, we are all about revolutionizing the world of Payments.\nRole Summary\nWe are looking for a seasoned Technical Architectwho is currently active in hands-on engineering and brings deep expertise across messaging systems, Java-based backend technologies, large-scale distributed architecture, and modern cloud-native delivery. The ideal candidate thrives at the intersection of architecture and engineering - capable of drawing design blueprints in the morning and writing production code or conducting a proof of concept in the afternoon.\nThis is a practitioner-first role. You will be expected to make informed architectural decisions grounded in proven patterns, lead by example in technical execution, and mentor engineering teams through complex design and delivery challenges. You should be comfortable using AI/LLM tools in your day-to-day work and have the ability to quickly understand, learn, and implement AI-enabled solutions where they add clear value.\nWhat You’ll Do\nHands-On Architecture & Design\nDesign and evolve large-scale, distributed systemswith a focus on scalability, reliability, and performance, including AI/LLM-enabled components where appropriate.\nMake well-reasoned architectural decisions based on proven patterns such as Event-Driven Architecture, CQRS, Saga, Circuit Breaker, and API Gateway, and apply similar rigor to AI integrations (guardrails, fallbacks, observability).\nCreate clear architecture blueprints, sequence diagrams, and technical specifications to guide engineering teams, including designs for services that interact with LLM APIs or AI workflows.\nActively participate in code reviews, technical discussions, and sprint ceremonies to ensure architectural alignment, and leverage AI tools to accelerate reviews, refactoring, and documentation where suitable\nMessaging & Integration Systems\nDesign and implement messaging solutions using Apache Kafka, RabbitMQ, IBM MQ, and ActiveMQ.\nLeverage Apache Camelfor enterprise integration patterns, routing, and transformation pipelines, including integration with AI/LLM services where relevant.\nEnsure high-throughput, fault-tolerant messaging architectures that meet SLA requirements.\nEvaluate and recommend the right messaging technology based on use-case, volume, and latency requirements.\nSoftware Engineering (Java & Spring Ecosystem)\nDevelop and review production-quality code in Java and Spring Boot, leading by technical example, and use AI/LLM tools to assist with boilerplate, tests, and refactoring while maintaining high quality.\nChampion microservices best practices including API design, service decomposition, and inter-service communication, including secure and observable integration with AI services.\nConduct and lead Proof of Concepts (POCs) for evaluating new frameworks, libraries, and technologies.\nEnsure adherence to coding standards, design patterns, and engineering best practices, including safe and responsible use of AI-generated code and suggestions.\nContainerization, Kubernetes & Cloud\nDesign and oversee containerized deployment strategies using Docker and Kubernetes (K8s).\nManage workload orchestration, autoscaling, resource quotas, and namespace design on Kubernetes clusters.\nCollaborate with DevOps and platform teams to build robust CI/CD pipelines and infrastructure-as-code practices, incorporating AI-enabled tooling to improve productivity and reliability.\nEnsure container security, network policies, and secrets management are baked into the architecture.\nObservability & Performance Monitoring\nEstablish and embed observability frameworkscovering distributed tracing, structured logging, and metrics collection.\nDefine performance monitoring and alerting standards across services and infrastructure.\nConduct performance profiling and tuning of Java applications including JVM, heap, and GC optimization.\nLead performance benchmarking exercises and resolve bottlenecks in high-traffic, latency-sensitive systems.\nMemory Management & Performance Tuning\nDemonstrate deep expertise in JVM memory management- heap sizing, GC strategies, metaspace, and memory leak analysis.\nUtilize profiling tools (e.g., JProfiler, VisualVM, async-profiler) to diagnose and resolve performance issues.\nTune application performance at the code, runtime, and infrastructure levels.\nDefine best practices for resource utilization and memory-efficient programming patterns.\nDatabase Architecture (RDBMS & NoSQL)\nDesign relational data models and optimize queries for PostgreSQL, Oracle, or MySQL.\nArchitect NoSQL solutions using MongoDBincluding schema design, indexing strategies, and aggregation pipelines.\nDefine data access patterns, connection pooling strategies, and caching layers.\nEnsure data consistency, integrity, and resilience across distributed data stores.\nProof of Concepts & Innovation\nProactively identify technology gaps and propose PoCs to validate architectural decisions before broader adoption, including AI/LLM-based approaches where they can improve productivity, reliability, or customer outcomes.\nWork hands-on with engineering teams during PoC phases to prototype and evaluate solutions.\nTranslate PoC outcomes into actionable architectural recommendations and implementation roadmaps.\nWhat You Bring\nMust-Haves\n12 to 16 yearsof progressive hands-on experience in software engineering with a strong architecture track record.\nCurrently active in coding and engineering - not purely a management or advisory role.\nDemonstrable expertise in Apache Kafka, RabbitMQ, IBM MQ, ActiveMQ, and Apache Camel.\nStrong proficiency in Java and Spring Boot for building enterprise-grade microservices and APIs.\nProven experience designing large-scale distributed systems that handle high volumes and strict SLAs.\nDeep knowledge of Kubernetes and containerizationincluding production cluster operations.\nExpertise in observability practices - distributed tracing (e.g., Jaeger, Zipkin), logging (ELK/EFK), and metrics (Prometheus/Grafana).\nStrong understanding of JVM internals, memory management, and performance tuning techniques.\nSolid experience with both RDBMS (PostgreSQL, MySQL, Oracle) and NoSQL databases (MongoDB).\nAbility to make architecture decisions grounded in established patterns and proven engineering principles.\nExperience conducting and leading Proof of Concepts (PoCs) end-to-end.\nComfortable using AI/LLM tools (e.g., GitHub Copilot, ChatGPT, Claude, or similar) in day-to-day work for design, coding, reviews, documentation, and debugging.\nDemonstrated ability to quickly understand, learn, and implement AI/LLM-based solutions and integrate them pragmatically into enterprise architectures when they add clear value.\nNice-to-Haves\nExperience in payments, financial messaging, or regulated financial technology platforms.\nExposure to event sourcing, stream processing (e.g., Kafka Streams, Apache Flink).\nExperience with chaos engineering and resilience testing practices.\nHands-on experience integrating LLM APIs or using AI frameworks (e.g., Spring AI, LangChain4j, or similar) in Java-based systems.\nFamiliarity with vector databases or vector search (e.g., pgvector, Weaviate, Pinecone, Milvus) and RAG patterns.\nExposure to responsible-AI practices in production (data governance, auditability, cost/latency monitoring, human-in-the-loop where needed).\nWhat We Offer\nCompetitive compensation\nHealth benefits\nRemote/flexible work options\nProfessional development support\nLocation\nChennai / Pune\nEqual Opportunity Statement\nAt Volante Technologies, we believe diversity drives innovation and inclusion fuels success. We are committed to creating a performance driven workplace where everyone feels valued, respected, and empowered to bring their authentic self to work. We welcome candidates from all backgrounds and ensure equitable opportunities for growth. All qualified applicants will receive consideration without regard to race, color, religion, age, gender, national origin, disability, sexual orientation, veteran status, or any other factor protected by law. 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