{"id":2988204,"url":"https://alion.io/job/npci-senior-lead-application-development-aeps-imps-netc","title":"Senior Lead - Application Development (AePS, IMPS & NETC)","company":{"id":59461,"name":"NPCI","domain":"npci.org.in","url":"https://alion.io/company/npci","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"A","score":98,"open_postings":21,"ghost_share":0,"stale_share":0.095,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":74},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Ansible","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"Couchbase","optional":false},{"name":"Docker","optional":false},{"name":"Flink","optional":false},{"name":"Git","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"gRPC","optional":false},{"name":"Helm","optional":false},{"name":"Istio","optional":false},{"name":"Jaeger","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linkerd","optional":false},{"name":"Linux","optional":false},{"name":"MinIO","optional":false},{"name":"OpenSearch","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Oracle","optional":false},{"name":"OWASP","optional":false},{"name":"PCI DSS","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"Redis","optional":false},{"name":"RxJava","optional":false},{"name":"Service Mesh","optional":false},{"name":"Spark","optional":false},{"name":"Spring Boot","optional":false},{"name":"Spring Cloud","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Tokenization","optional":false},{"name":"Azure","optional":true},{"name":"Computer Vision","optional":true},{"name":"Kubeflow","optional":true},{"name":"LangChain","optional":true},{"name":"LLM","optional":true},{"name":"MLFlow","optional":true},{"name":"OCR","optional":true},{"name":"ONNX","optional":true},{"name":"OpenCV","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"RAG","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true},{"name":"Tesseract OCR","optional":true}],"status":"live","first_seen_at":"2026-06-25T00:00:00Z","employer_posted_date":"2026-06-25","last_verified_at":"2026-10-29T12:55:48Z","board_verified":true,"closed_at":null,"days_open":126,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":126},"description":"NPCI is evolving the National Electronic Toll Collection\n(NETC) FASTag ecosystem into a next-generation, real-time, intelligent, and\nscalable national tolling and mobility platform.\nThis role is responsible for architecting, building, and\nscaling stream-processing and platform capabilities that operate at national\nscale across toll plazas, acquirer and issuer banks, and concessionaires -\nhandling mission-critical financial transactions and meeting stringent\nregulatory, audit, and resilience standards mandated by NPCI, NHAI/IHMCL, and\nRBI.\nThe role combines: Low-latency Java-based stream processing\nfor toll transactions Production-grade distributed systems for tag, vehicle,\nand transaction processing Fraud, image (ANPR/VRN), and decision intelligence\n(rules-driven, with AI/ML as an added advantage) Platform-level engineering\nexcellence.\nThis is a strategic engineering role (not a pure research or\nsupport role). Strategic Outcomes Expected - The individual will directly\ncontribute to: Increased straight-through processing (STP) for FASTag toll\ntransactions Reduced manual intervention, charge-back disputes, and exception\nhandling Early and accurate identification of tag cloning, blacklisted tags,\nVRN/TID mismatches, and fraud rings Improved transaction turnaround time (TAT),\nsettlement accuracy, and system throughput at peak plaza volumes Long-term IP\nownership of core platform capabilities within NPCI for the NETC ecosystem\nKey Responsibilities\n1. Real-Time Stream Processing Architecture (Java-Centric)\nDesign and implement event-driven, stream-processing pipelines for NETC FASTag\ntransaction, mapper, and settlement workflows Build low-latency,\nhigh-throughput systems using Java-based streaming frameworks such as Apache\nKafka / Kafka Streams, Apache Flink, or Spark Structured Streaming Ensure\nexactly-once processing, idempotency, and fault tolerance across\nacquirer-NPCI-issuer hops Handle large-scale streams of toll read events, ANPR\nimages, tag metadata, and clearing/settlement files with predictable latency\n2. Decision Intelligence & Exception Handling Design and\nbuild rules-driven and data-driven decisioning components for: ANPR / Vehicle\nRegistration Number (VRN) validation against tag-vehicle mapping Tag class /\nvehicle class mismatch detection Fraud and anomaly detection (tag cloning,\nduplicate reads, ghost transactions, plaza-level anomalies) Intelligent\nexception and dispute prioritization for charge-back (CCH) and dispute\nmanagement workflows Collaborate with data science / analytics teams to operationalize\nmodels where applicable, ensuring smooth integration into the streaming\nplatform\n3. Adoption of Emerging Technology Trends (Applied, Not\nExperimental) Hybrid decisioning (Rules + Analytics + optional ML/GenAI) for\ntransparent toll decisioning and dispute adjudication Explainability and\ntraceability to support charge-back resolution, member bank queries, and\nregulatory audits Adaptive rule engines that evolve with new fraud patterns,\nplaza layouts, and vehicle classes Lightweight Generative AI use cases\n(exploratory) - assisted dispute summaries, root-cause explanations, smart\nanalyst support Governance frameworks for ethical, compliant usage of any\nautomation aligned with NPCI and RBI expectations Emphasis is on controlled,\nauditable, deterministic systems - critical given the multi-party\n(acquirer/issuer/concessionaire) settlement nature of NETC.\n4. Platform Integration & Reliability Engineering\nIntegrate streaming and decisioning components into NETC core switching,\nmapper, clearing, and settlement systems Design for high availability,\nresilience, and disaster recovery across active-active data centres Optimize\nperformance under peak national toll volumes (festival/holiday surges, 24×7\nplaza operations) Ensure observability (metrics, logs, traces) for NPCI ops,\nmember banks, and plaza operators\n5. Security, Compliance & Audit Readiness Ensure\nsolutions comply with RBI, NHAI / IHMCL, MoRTH regulatory expectations and NPCI\nsecurity and data governance standards Build explainability, traceability, and\naudit hooks into automated transaction and fraud decisions Support internal,\nexternal, and regulator audits with clear technical documentation and decision\ntrails\n6. Technical Leadership & IP Ownership Act as a\ntechnical authority for stream processing and platform engineering within the\nNETC FASTag platform Mentor junior engineers and drive engineering best\npractices across the NETC pod Evaluate and govern vendor / OEM solutions (ANPR\nengines, fraud tools) without creating dependency Ensure core architecture and\nplatform knowledge remains within NPCI.\nRequired Qualifications & Experience\n10-15+ years of experience in enterprise-grade,\nmission-critical system development Proven track record of architecting and\ndelivering high-volume, low-latency, distributed systems in payments,\nswitching, banking, or tolling/mobility domains.\nDemonstrated experience leading platform-level engineering\ninitiatives end-to-end (design → production → scale).\nRequired Technical Skills Programming & Frameworks\nProgramming & Frameworks\nJava (Java 11/17+) with strong understanding of: JVM Internals\nGarbage Collection (GC) Tuning\nMultithreading & Concurrency\n\nSpring Ecosystem: Spring Boot\nSpring Cloud\nSpring WebFlux (Reactive Programming)\n\nReactive & Asynchronous Programming: Project Reactor\nRxJava\n\nAPI Development: RESTful APIs\ngRPC\nProtocol Buffers\nJSON/Avro Serialization\n\nStream Processing & Messaging\nApache Kafka Kafka Streams\nKRaft Mode\nSchema Registry\n\nApache Flink and/or Spark Structured Streaming\nEvent-Driven Architecture\nCQRS (Command Query Responsibility Segregation)\nEvent Sourcing\nStateful Stream Processing\nExactly-Once Processing Semantics\nIdempotency\nBack-Pressure Handling\nData & Storage\nNoSQL Databases: Cassandra\nRedis\nCouchbase\nEquivalent large-scale NoSQL platforms\n\nStrong SQL expertise in: PostgreSQL\nOracle\n\nDatabase Optimization: Partitioning\nSharding\nIndexing Strategies\n\nData Modeling for: High-Write Systems\nLow-Latency OLTP Workloads\n\nObject Storage: Amazon S3\nMinIO\n\nImage and File Archival Solutions\nDistributed Systems & Architecture\nMicroservices Architecture\nService Mesh Technologies: Istio\nLinkerd\n\nAPI Gateway Implementations\nDistributed Systems Concepts: CAP Theorem\nConsensus Algorithms (Raft/Paxos)\nDistributed Transactions\nSaga Patterns\n\nHigh Availability & Disaster Recovery: Active-Active Deployments\nMulti-Data Center Architectures\n\nPerformance Engineering: Capacity Planning\nLoad Testing\nTPS Optimization at National Scale\n\nDevOps, Cloud-Native & Observability\nContainerization & Orchestration: Docker\nKubernetes\nHelm\n\nLinux System Administration\nCI/CD Tools: Jenkins\nGitLab CI\nAzure DevOps\n\nSource Control & Git Workflows\nInfrastructure as Code (IaC): Terraform\nAnsible\n\nMonitoring & Observability: Prometheus\nGrafana\nELK Stack / OpenSearch\nJaeger\nOpenTelemetry\n\nSecurity & Compliance\nSecurity Protocols: TLS / mTLS\nHSM Integration\nKey Management\nTokenization\n\nSecure Coding: OWASP Standards\nVulnerability Assessment & Remediation\n\nRegulatory & Compliance Knowledge: PCI-DSS\nRBI Cybersecurity Guidelines\nAudit Trail Design\n\nGood-to-Have Skills (Preferred)\nRules & Decision Engines\nDrools\nEasy Rules\nEquivalent Decision Orchestration Frameworks\nAI/ML & Productionization\nPython-based ML Frameworks: Scikit-learn\nPyTorch\nTensorFlow\n\nONNX\nMLflow\nComputer Vision & OCR\nOpenCV\nTesseract OCR\nCommercial ANPR SDKs\nAutomatic Number Plate Recognition (ANPR) Technologies\nMLOps\nKubeflow\nMLflow\nModel Versioning\nModel Drift Detection\nGenAI & LLM Integration\nLangChain\nRetrieval-Augmented Generation (RAG)\nPrompt Engineering\nDomain Expertise\nNETC / FASTag Ecosystem\nNHAI / IHMCL Systems\nRFID Technologies\nIoT-Based Platforms\nPayments Switching\nISO 8583\nISO 20022 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