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Senior Java Backend Developer Jobs

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Key Responsibilities Shall include but not limited to - 1. Allocation of tickets to the team members on agreed timelines. 2. Ensure closure of tickets within the time frame. 3. Having required governance on team like morning briefings day end reporting periodic reviews etc. 4. Prepare & share allocation of resources / duty roaster. 5. Tracking the attendance of team members & sharing the same with HR. 6. Employee Engagement like birthday celebrations recognitions etc. 7. Training of team members 8. Ensure adherence to reimbursement policy leave policy & other company rules & regulations. 9. Submitting reports as required to Operations Manager periodically. 10. Maintain the Par stock spare/tools for day to day consumption. 11. Coordinate with team collect requirement of spares & consolidate the same & share the consolidated requirement with Procurement in the prescribed format (purchase requisition) 12. Follow-up & ensure issue of spares on time 13. Report / inform to Project Head & MIS- with regards to any addition of equipment. 14. Identify & track if any Bar Code is lost/destroyed (as per compliance). 15. Asset mapping identification of historical calls recommend condemnation with all details 16. Ensure proper documentation for all shifting of materials & submission of reports on the same. 17. Follow-up with concerned Nodal Officers for getting the reports / MIS signed off & ensure closure. 18. Ensuring key KPIs of all resources are linked to SLA so that targets are met. 19. Scheduling and implementing the yearly PPM Calendar for all equipment. 20. Perform the PPM as scheduled assign PPM work orders on time to the satisfaction of the Customer as well as to internally accepted Quality Assurance Guidelines. Maintain proper documentations. Address: Chintareddipalem Nellore Andhra Padesh Facility: Narayana Medical College - HTM Qualification: Graduate Experience: 5 - 10 years Source: Sodexo India | Job Code: IJP570143

procurementHR
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The Sr. Executive - Supply Operations (Food Platform) performs day-to-day Food Platform Administration activities and ensures accurate timely and compliant execution of defined system transactions supporting the Australian Food Platform. The role performs master data administration purchase order generation system administration documentation and reporting activities within Microsoft Dynamics AX and future ERP systems in line with approved procedures and SLAs. The position executes approved activities and supports the Food Platform team. Any activity outside documented procedures must be escalated to the Assistant Manager and Australian Food Platform for direction. Address: Nesco IT Park Tower 4 11th Floor North Wing Off Western Express Highway Goregaon East Facility: SBS Food Platform Australia Qualification: Graduate Experience: 2 - 5 years Source: Sodexo India | Job Code: IJP570901

SI
Sodexo India
📍 Mumbai• Full-time
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Responsible for preparing food as per the approved menu recipes quality standards and production schedule. Supervises kitchen staff ensures proper food safety and hygiene practices maintains taste and portion consistency controls food wastage and ensures timely food preparation and service. Coordinates with the Chef and supports smooth day-to-day kitchen operations. Address: Village Jamrung Post Ambivali Taluka Karjat Dist Raigad Maharashtra Facility: HOME CATERING SERVICES - FS MUMBAI Qualification: 10th Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP571765

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary : Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We’re working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we’re looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We’re working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people’s lives. Responsibilities: Build data processing and exploration pipelines along with ML infrastructure to power our intelligence Deploy a range of cloud-based technologies for critical projects Write, test, instrument, and deploy code to our Kubernetes environment Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: 5+ years of professional software development experience with a focus on Python and big data technologies Experience with Spark, Kafka, Hadoop, Hive, and/or

REMOTEpythonmongodbazure
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NVIDIA is seeking a creative and analytical Capacity Planner to join our Operations team and drive the scaling of our Boards & Systems manufacturing across all business units. In this cross-functional role, you will lead the weekly planning cycle, collaborate with Operations, Manufacturing, Supply Chain, Engineering, Finance, and Business Units, and leverage advanced analytical models to resolve capacity constraints, rationalize capital investments, and drive execution strategies for senior management. What You'll Be Doing Run the weekly capacity planning cycle for Boards & Systems, including forecast ingestion, supply planning alignment, Contract Manufacturer (CM) and testing reviews, and preparation of planning outputs. Consolidate and validate core planning inputs (18-month forecasts, NPI consumption, SKU mappings, CM commits, yield data) across enterprise applications like Anaplan. Analyze required versus available capacity, identify bottlenecks, and perform scenario analysis using data models to drive risk mitigation strategies. Lead capital investment, decisions based on capacity requirements, rationalize forecast changes, and optimize volume loading across CMs to meet target supply and revenue goals. Coordinate workflows across Supply Planning, Business Units, Contract Manufacturers, Production Planning, Purchasing, Manufacturing/Test Engineering, Finance, and NPI in a multi-program platform environment. Partner with IT teams to integrate planning models with enterprise systems, establishing standardized workflows, data pipelines, and toolsets. Present clear, data-driven execution plans, operational risk insights, and mitigation strategies to senior management. Align with cross-regional teams (US, Israel, APAC) to maintain seamless operational execution and standardized planning frameworks. What We Need to See 5+ years

machine learningaiExcel
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We are looking for a highly motivated AI/ML Software Engineer to join the Enterprise Agentic AI Platform team within IT. You will work closely with Business Analysts, and Engineering teams to design, develop, and deploy enterprise AI solutions that improve productivity and automate business workflows across Engineering, Operations, and Manufacturing. What you'll be doing: Design, develop, and deploy Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks. Build scalable AI services and reusable components integrated with enterprise applications such as PLM, SAP, and other business systems. Collaborate with business and IT teams to translate business requirements into AI-driven solutions. Develop secure, scalable APIs and enterprise integrations to enable intelligent workflows and automation. Improve AI solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization. Partner with cross-functional teams throughout the Software Development Lifecycle (SDLC), from solution design through deployment and production support. What we need to see: Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field. 6+ years of software engineering experience with strong proficiency in Python and backend application development. Hands-on experience with Generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development. Experience integrating enterprise applications and building scalable, production-ready software solutions. Strong analytical, problem-solving, communicatio

pythonazureai
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Job Requisition ID # 26WD99843 Position Overview Are you tenacious and have experience building trusted relationships? Do you love the craft of sales, especially complex enterprise-level sales? The Account Executive, Mid Market is responsible for growing sales in ~40 accounts within Autodesk’s Manufacturing business. This job is assigned a sales quota and performance is measured by meeting quarterly and annual targets by up-selling, add-on sales, and cross-selling. You’ll be a trusted advisor for customers. You’ll increase sales by expanding renewals and displacing competitive products. This is a rare opportunity to join Autodesk’s fast-growth manufacturing business. You’ll make an impact and bring much-needed technology to the manufacturing industry. This a fully remote position. Responsibilities Manage your book of business; sell new products and expand existing renewals to meet quarterly targets Lead account strategy and manage the sales cycle for new sales and renewals Produce new opportunity pipeline each week to meet quarterly and annual quota targets Be a model representative of Autodesk. Lead presentations to clients, build trusted-advisor relationships with customers, and attend marketing events/conferences Exemplify team-selling culture. Collaborate with your extended account team, which include: Business Development Rep, Technical Solutions Executive, Customer Success Managers, channel partners, and many other team members Deliver accurate forecasts of

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. NVIDIA has a rapidly expanding ecosystem of data center platform designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each brings together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are searching for a highly motivated engineer to lead performance benchmarking and optimization efforts for our data center products. You will be instrumental in ensuring our data center solutions deliver industry-leading performance for accelerated computing workloads. What you will be doing: Design and execute comprehensive performance benchmarking strategies for our data center platforms and products Characterize real-world AI training, inference, and HPC workloads at scale Define, track, and report key performance indicators (throughput, latency, efficiency, scaling) Build automation tools and frameworks for performance monitoring and analysis Identify and analyze performance bottlenecks across compute, memory, network and storage subsystems Work closely with architecture, hardware,

pythondockerkubernetes
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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. NVIDIA has a rapidly expanding ecosystem of data center platform & node designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each bringing together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We’re searching for a highly motivated, technical leader to design, drive, and operationalize rack-scale factory and deployment flows for next-generation data center products. The ideal candidate will combine deep systems expertise, decisive technical leadership, and a passion for building reliable, debuggable, and scalable manufacturing and deployment solutions. What you’ll be doing: Lead and drive rack-scale/L11 flows for factory and initial data center deployment. Design and implement end-to-end factory workflows, including firmware flashing sequences, security provisioning, and deployment of software mitigations. Collaborate with data center architects, ODMs, and OEMs to define factory and data center requirements that ensure efficient and reliable production ramp. Champion reliability, debuggability an

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