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2 Days AgoSaved
In-Office
Veerthala, Nagar, Bharatpur, Rajasthan, IND
Senior level
Senior level
Automotive • Big Data • Information Technology • Analytics
Operate and evolve enterprise access and edge security infrastructure, including remote-access VPNs, Fortinet and Palo Alto firewalls, Cisco ISE, Guardicore micro-segmentation, Zscaler, and Prisma. Troubleshoot complex connectivity and access issues across campus and data center environments. Manage security policies, rule lifecycles, zero-trust connectivity, and network access controls at enterprise scale.
Top Skills: 802.1XAnsibleCisco IseDhcpDnsFortinetGuardicoreIpsecPalo AltoPrismaPythonRadiusTcp/IpVendor ApisVpnZscaler ZiaZscaler Zpa
2 Days AgoSaved
Remote
Michigan, USA
Mid level
Mid level
Automotive • Big Data • Information Technology • Analytics
Owns strategy, roadmap, development, positioning, pricing, and lifecycle management for auto insurance data products. Conducts customer and market research, translates carrier needs into product requirements, leads launches, and partners with technology, data, sales, marketing, and customer-facing teams. Requires strong knowledge of auto insurance carrier workflows, data-driven products, underwriting, pricing, policy administration, acquisition, and retention.
2 Days AgoSaved
In-Office
Veerthala, Nagar, Bharatpur, Rajasthan, IND
60K-65K Annually
Junior
60K-65K Annually
Junior
Automotive • Big Data • Information Technology • Analytics
Generates and qualifies sales opportunities through targeted phone and email outreach, maintains a prospect pipeline, researches dealerships, books meetings, supports events, collaborates with sales and marketing teams, and reports on outreach, bookings, lead quality, and conversion metrics.
Top Skills: SalesforceSalesloft
2 Days AgoSaved
In-Office
Gurugram, Haryana, IND
Senior level
Senior level
Automotive • Big Data • Information Technology • Analytics
Own and prioritize the product backlog, translate stakeholder needs into requirements and user stories, define acceptance criteria, oversee UAT and releases, and guide engineering teams through Agile/Scrum delivery. The role coordinates cross-functional stakeholders, resolves priorities and blockers, communicates progress, and delivers SaaS product features for automotive dealership partners. Candidates need product ownership experience, data and integration expertise, strong analytical and communication skills, and a relevant bachelor’s degree.
Top Skills: AgileData ArchitecturePredictive AnalyticsSaaSScrumUser Acceptance Testing (Uat)
2 Days AgoSaved
In-Office
2 Locations
Mid level
Mid level
Automotive • Big Data • Information Technology • Analytics
Build and maintain generative AI, LLM, RAG, and data pipelines; develop agentic frameworks and scalable Python applications; assemble and analyze complex datasets; apply statistical, data mining, and machine learning methods; work with SQL and NoSQL databases; collaborate on production model deployment and product development; and communicate technical findings and solutions to stakeholders and clients.
Top Skills: AirflowAWSAzureDbtGenerative AiLangchainLanggraphLarge Language ModelsNoSQLPrefectPythonPyTorchRagSQLTensorFlow
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2 Days AgoSaved
In-Office
Veerthala, Nagar, Bharatpur, Rajasthan, IND
Expert/Leader
Expert/Leader
Automotive • Big Data • Information Technology • Analytics
Lead enterprise sales and business development across automotive OEMs, captive finance organizations, lenders, FinTechs, and strategic partners. Own the full sales cycle, build executive relationships, develop consultative solution proposals, close complex deals, and grow revenue for pricing, incentive, analytics, and intelligence solutions. Shape market strategy through customer insights and industry expertise while maintaining a strong pipeline and influencing internal product and marketing teams.
Top Skills: Data AnalyticsDigital RetailingMarket IntelligencePredictive Modeling
2 Days AgoSaved
In-Office
New York, NY, USA
70K-120K Annually
Mid level
70K-120K Annually
Mid level
Automotive • Big Data • Information Technology • Analytics
The ETL QA Engineer designs and executes data validation, API, regression, performance, and automated testing. Responsibilities include reviewing requirements, creating test plans, developing QA processes, implementing automation strategies, reporting release quality, managing defects, and guiding cross-functional engineering teams. The role requires ETL, database, cloud, scripting, testing framework, Agile, and API testing experience, with leadership responsibilities for QA colleagues and automation initiatives.
Top Skills: Api TestingAzure DevopsData CatalogingData ProfilingETLGoogle Cloud Platform (Gcp)JIRANon-Relational DatabasesPerformance TestingRelational DatabasesRest ApisUi Automation
2 Days AgoSaved
In-Office
New York, NY, USA
110K-138K Annually
Senior level
110K-138K Annually
Senior level
Automotive • Big Data • Information Technology • Analytics
Leads quality engineering initiatives across enterprise applications and large-scale data pipelines. Responsibilities include release planning, end-to-end and regression testing, automation strategy, API and performance testing, data validation, QA framework governance, defect management, reporting, and mentoring. The role partners with Product, Engineering, Architecture, DevOps, and IT teams to improve software quality, delivery processes, and cloud-based testing capabilities.
Top Skills: AgileAi ToolsApi TestingAzure DevopsBatch Data PipelinesCloud Data WarehousesCloud StorageColumn-Oriented DatabasesData CatalogingData ProfilingDistributed Data ProcessingGoogle Cloud PlatformJIRANon-Relational DatabasesPerformance TestingPythonReal-Time Messaging StreamsRelational DatabasesRestful ApisScrumStreaming Data PipelinesStress TestingTest Automation FrameworksThroughput TestingUi TestingWorkflow Orchestration
2 Days AgoSaved
In-Office or Remote
3 Locations
Senior level
Senior level
Automotive • Big Data • Information Technology • Analytics
Leads a global team supporting 50+ business-critical applications, middleware platforms, and third-party products. Owns uptime, resilience, incident response, observability, automation, vendor performance, cloud modernization, platform rationalization, and service-management practices. Builds scalable support models, drives root-cause resolution, improves integration architecture, manages operational risk, and develops a high-performing engineering team. Partners with executives, cybersecurity, infrastructure, engineering, architecture, and vendors to ensure reliable, secure, production-ready systems.
Top Skills: APIsApplication ServersAutomationCloud ComputingEsbsIpaasItilMessage BrokersMiddlewareObservabilityService Monitoring
2 Days AgoSaved
In-Office
2 Locations
Entry level
Entry level
Automotive • Big Data • Information Technology • Analytics
Leads network business and operational functions, including asset lifecycle management, budgeting, forecasting, purchasing, CMDB compliance, circuit management, alarm triage, monitoring-system administration, outage tracking, incident response, and change coordination. Manages a distributed 24/7 network operations team across Canada, the US, and India, while establishing follow-the-sun coverage and daily operational handoffs.
Top Skills: CmdbForward NetworksKentikLogicmonitorNodeping
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