Warehouse Utility Jobs

Role Overview The Buyer – Admin & HR Procurement will support end-to-end sourcing and procurement activities related to Administrative, Facility Management, Lease Rental, and HR requirements. The role involves vendor identification and coordination, commercial negotiations, lease management, PR-to-PO processing, cost comparison analysis, contract administration, and ensuring timely availability of services and materials in compliance with company procurement policies. This position requires strong coordination skills, attention to detail, analytical ability, negotiation capability, and a service-oriented mindset. Key Responsibilities Admin-Related Procurement - Manage procurement of office supplies, stationery, and pantry items - Coordinate facility management services including housekeeping, security, pest control, and other facility-related services - Procure office equipment such as printers, furniture, workstations, and related accessories - Support Annual Maintenance Contract (AMC) tracking and renewals - Coordinate arrangements for corporate events and employee engagement activities - Facilitate travel and accommodation bookings as per company policy - Ensure timely processing of Purchase Requisitions (PR) to Purchase Orders (PO) - Maintain vendor database and vendor performance records - Conduct cost comparisons and negotiate within defined authority limits Lease Rental Management - Manage procurement support for office, branch, warehouse, fleet hub, and other leased premises - Coordinate with Business, Admin, Finance, and Legal teams for new lease acquisitions, renewals, amendments, and lease closures - Support commercial negotiations with landlords, property owners, and real estate consultants to achieve competitive commercial terms - Review lease proposals and ensure compliance with company procurement policies and approval workflows - Coordinate execution of lease agreements and maintain trackers for lease expiry, renewals, rent escalations, security depo

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL (Instawork Robotics Labs) Researchers at UC Berkeley have identified a “100,000-year data gap” — the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments — kitchens, warehouses, hotel floors, homes — to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more [ here ] What You'll Do Design and deliver on a learning curriculum for the Operations team that aligns with Instawork’s business objectives and scales with a growing organization; coordinate and administer training Develop a comprehensive onboarding program that encourages new team members to provide premier support for Instawork’s customers and internal stakeholders, as well as prepare them for an intensive operational role managing high volume and nuanced customer requests Collaborate with management to create training plans, develop training modules, and facilitate real-time training for Operations new hires and continuing education for tenured specialists Manage the efficacy of new hire onboarding through continuous process planning, execution, and identifying metrics for the Operations learning curriculum Establish methods for measuring and reporting on learner engagement, comprehension, and practical application Provide con

About DataCamp DataCamp powers data and AI transformation. With DataCamp, individuals, teams, and organizations of any size can learn the data and AI skills they need to thrive in the 21st century. With over 20M learners and 6,000+ organizations learning daily, DataCamp is a market leader in bridging the data and AI skills gap. Whether you’re fostering enterprise-wide data and AI literacy, developing core data skills, adopting generative AI, switching data warehouses, or navigating the cloud transition—DataCamp offers tailored learning programs to meet your organization’s unique needs. About you We are looking for a Marketing Associate to fuel the growth of our core Social Impact program (DataCamp Classrooms). This is a unique hybrid role that sits at the intersection of growth marketing, partnership management, and content creation. You will be the face of DataCamp for hundreds of educators in the USA and Europe, driving adoption through direct product demos and supporting technical integrations. Simultaneously, you will own organic growth initiatives—from link building and Reddit community management to executing press releases for top-tier partnerships. If you thrive in fast-paced environments and want to own the growth of a high-impact product, we’d love to meet you. Responsibilities : Scale Academic Partnerships: Support the acquisition and onboarding of key academic partners in the USA & Europe. Drive Activation: Support onboarding via product demos, documentation building, and acting as the primary point of contact for North American teachers. Manage Government & Strategic Alliances: Support the landing of high-stakes partnerships, including government bodies, LLM labs, and corporate CSR partners. Own Community & Organic Growth: Drive traffic to DataCamp’s Social Impact pages by managing our presence on digital forums (e.g., Reddit, Discord). Execute Content & Communications: Support the creation of press releases, blog posts, news

Senior Manager, Logistics Security Description - At HP, we create technology that helps people and businesses bring their ideas to life. Our global supply chain plays a vital role in that mission, moving high-value products safely and reliably to customers around the world. We are looking for a collaborative and solutions-oriented Senior Manager, Logistics Security to help protect our logistics network, strengthen transportation risk programs, and lead efforts that reduce loss, improve carrier performance, and support a secure customer experience. Core responsibilities Own logistics security strategy for HP's transportation network. Manage loss, theft, damage, shortage and mis-delivery incidents across carriers, warehouses and distribution partners. Lead transportation claims management, including investigation, documentation, recovery and settlement. Manage relationships with major LSPs, carriers, freight forwarders and 3PLs. Investigate high-value shipment incidents and identify root causes. Develop controls to prevent cargo theft, fraud, unauthorized access and product diversion. Establish security standards for transportation lanes, warehouses and high-risk locations. Track claims and losses using KPIs such as: Claim $ / shipment Loss rate Damage rate Theft incidents Recovery % Claim cycle time Carrier performance Partner with Supply Chain, Logistics, Finance, Legal, Compliance, Security and Insurance teams. Lead corrective/preventive actions with logistics service providers. Review carrier contracts and ensure appropriate liability and insurance coverage. Establish escalation processes for major incidents. Conduct risk assessments of logistics providers and distribution locations. Use dat

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Analytics Engineer, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our data science team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. What you’ll do as an Senior Analytics Engineer at Vanta: Design and implement complex data models to enable dashboards, self-serve analytics, and data science teams. Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses. Enable AI tooling with semantic layers and observability, guiding analytics functions on best practices. Manage and improve data infrastructure needed to drive data-driven decision-making solutions. Help develop front end applications to expose analytical data sets enterprise wide Work with the Product and Corporate Engineering system teams to structure source systems for reporting consumption across the enterprise. How to be successful in this role: Have at least four years of experience working with data and two years of experience in Software Engineering or a related field. Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma). Bring a system-oriented and software engineering mindset to the Analytics Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries. Deep knowledge of crafting dimensional and fact models in modern data fashion. Have a passion for enabling the developer experience of data, and being obsessed with giving

The Data Engineering team is responsible for building ETL pipelines that populate the Internal Data Platform, which drives analytics that help the company run more efficiently. Our team builds highly performant and scalable processes that extract massive datasets and makes those datasets available for querying in an optimal way. We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. What you’ll do Guide the Data Engineering team on building highly performance ETL pipelines using Spark and other Big Data technologies Help design the architecture of our Internal Data Platform to support the implementation of a robust medallion architecture Provide thought leadership on ways to achieve infrastructure cost savings on Cloud hyperscalers Design and build AI agents that can help automate many of the common development and support tasks that the team performs Work with Security and Compliance teams to ensure that datasets have appropriate permissions and regulations in place Work with our Data Platform, and Governance sibling teams to make data scalable, consumable, and discoverable We’re looking for someone with 10+ years experience working on enterprise data lakes/warehouses 5+ years of Spark and Python experience 5+ years of direct hands-on experience working with AWS or GCP Thorough AI knowledge, particularly with codegen tools and agentic frameworks Hive, Iceberg, Glue, or other technologies that expose big data as tables Familiarity with different big data file types such as Parquet, Avro, and JSON Exposure to real-time or streaming data technologies is a plus Success Measures In 3 months, you'll have a thorough understanding of the architecture of MongoDB’s internal Data and AI ecosystem In 6 months, you'll have owned the delivery of a large project from start (scoping, design) to finish (delivery) In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system About MongoDB

About the Role Join Peloton’s Global Network Services team as a Senior Engineer, sitting at the unique intersection of high-scale enterprise networking and high-stakes media production. In this role, you will architect and support the global infrastructure that powers our corporate offices, warehouses, and flagship New York Broadcast Studio. Acting as the key bridge between Global Cloud Engineering and Studio Operations, you will deploy highly resilient, scalable architectures that deliver live streaming content seamlessly to millions of members worldwide. Your Daily Impact Global Architecture & Deployment: Design, optimize, and secure Peloton's global network footprint, integrating Cisco, Meraki, Aruba, and Palo Alto Networks across hybrid on-premises and AWS environments. Studio & Broadcast Reliability: Lead deep-dive traffic analysis and troubleshooting for our NY studio, ensuring 24/7 uptime for live broadcasts, real-time video streaming, and OTT media delivery. Operational Leadership & Lifecycle Management: Manage the end-to-end network project lifecycle—from traffic shaping and SD-WAN optimization to establishing SOPs, security policies (with InfoSec), and handling Tier-3 disaster recovery. You Bring To Peloton Broad & Deep Network Expertise: 8+ years in Network Engineering, including 6+ years in complex SaaS environments and 4+ years designing public cloud networking (specifically AWS). Advanced Protocol & Security Mastery: Expert knowledge of L2/L3 protocols (BGP, OSPF, EIGRP), security protocols (IPsec, 802.1x, RADIUS), SD-WAN, and SDN/SDDC full-stack solutions. Media & Streaming Specialization: 3+ years optimizing IP networks specifically for live video delivery, utilizing multicast/unicast technologies and streaming protocols like HLS, RTMP, and SRT. Education & Elite Certifications: A Bachelor’s degree in Engineering or Computer Science, backed by active CCIE or JNCIE certifications (required). Collaborative Mindset: A curious

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team We're experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We're experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team works closely with product teams delivering trustworthy data, backend code, and innovative AI tools, platforms, and services for data. What you'll do We're looking for a person who drives the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate is someone who has built data pipelines for large-scale volume, is deeply knowledgeable of Data Engineering tools including Airflow, Spark, Kafka, and Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. • Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success • Partner with our recruiting team to attract and hire top talent. • Deliver cutting-edg

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Product and Risk Data Engineering is Stripe's single source of truth data engineering layer for Payments, Risk, and Product — we enable Stripe to confidently run, measure, and grow the business by making accurate information easy to access. We curate and maintain high-quality data warehouses and pipelines that serve as the authoritative foundation for product and financial activity across Stripe, powering analytics, ML capabilities, agentic workflows, and merchant-facing data interfaces. Beyond building data, we act as the internal experts in data technologies and partner with Data Platform to deliver high-quality, low-friction data processing frameworks. We also serve as the bridge between data producers and data consumers — championing best-in-class data engineering practices and guiding product teams on event-driven data API modeling — so that every team at Stripe can build, decide, and grow from a trusted, well-engineered data foundation. What you’ll do We're looking for a person who could contribute to the team by solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. Responsibilities Lead the technical outcomes for

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our teams develops in-house connectors to connect with external systems and data warehouses. We are working to connect Snowflake with Fortune 500 companies - in the cloud. In this area you will be working on exposing API, blueprints and frameworks for other developers to create their own connectors. YOUR RESPONSIBILITIES Design and develop data integration and processing applications. These applications replicate data from various data sources (including relational databases, saas, data streams) into Snowflake, following CDC patterns. Develop and extend a robust connector platform to standardise and accelerate the development of connectors, either developed by Snowflake or by third parties. Typical example includes developing a scheduling service ensuring timely execution of tasks and optimal resource allocation. Optimize performance of the ingestion, meet with customers & troubleshoot issues and secure data transfer from external systems. Collaborate with teams across the organization and roles. Create design documents and present them to architects and other stakeholders, including company founders. Lead and mentor a group of engineers Coordinate synchronous and asynchronous communication to ensure goals are met. Collaborate with PMs and customers to understand busine

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Location : Bengaluru (On-site) + multi-city coordination Instawork Robotics Lab (IRL) Robots are getting smarter, but they still can’t reliably do the everyday physical tasks people do — chopping vegetables, stocking shelves, assembling parts. The bottleneck is data. UC Berkeley’s Prof. Ken Goldberg calls it the “100,000-year data gap”: the chasm between the massive text datasets used to train language models and the tiny amount of real-world, physical-dexterity data available to train robots. The entire robotics industry collected only ~100,000 hours of training data in 2024 and ~1 million in 2025 — and even the ~20 million hours projected for 2026 is still less than 0.04% of what is ultimately needed. IRL exists to close that gap. Using Instacore — a wearable multi-camera and sensor system (head, chest, and wrist cameras plus IMUs and a compute pack) — our field teams capture synchronized, high-diversity egocentric data of real people doing real tasks across real commercial environments: kitchens, warehouses, hotels, retail, and light manufacturing. That data is quality-checked, anonymized, and delivered to the world’s leading robotics companies and foundation-model labs to teach robots how to operate in the messy physical world. In India, we run the on-ground engine of this mission — a growing fleet of Instacore rigs, Field Officers and Data Collectors, regional hubs, and the operations and finance backbone that keeps it

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork Robotics Lab (IRL) Robots are getting smarter, but they still can’t reliably do the everyday physical tasks people do — chopping vegetables, stocking shelves, assembling parts. The bottleneck is data. UC Berkeley’s Prof. Ken Goldberg calls it the “100,000-year data gap”: the chasm between the massive text datasets used to train language models and the tiny amount of real-world, physical-dexterity data available to train robots. The entire robotics industry collected only ~100,000 hours of training data in 2024 and ~1 million in 2025 — and even the ~20 million hours projected for 2026 is still less than 0.04% of what is ultimately needed. IRL exists to close that gap. Using Instacore — a wearable multi-camera and sensor system (head, chest, and wrist cameras plus IMUs and a compute pack) — our field teams capture synchronized, high-diversity egocentric data of real people doing real tasks across real commercial environments: kitchens, warehouses, hotels, retail, and light manufacturing. That data is quality-checked, anonymized, and delivered to the world’s leading robotics companies and foundation-model labs to teach robots how to operate in the messy physical world. In India, we run the on-ground engine of this mission — a growing fleet of Instacore rigs, Field Officers and Data Collectors, regional hubs, and the operations and finance backbone that keeps it all running at quality and scale. Role Overview The Finance Associat

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: We are looking for a Staff Systems Engineer - Digital to join our team, the foundational layer that powers access, governance, and intelligence across our digital products. You will work horizontally across engineering, product, and AI teams, leading, owning, and evolving the shared infrastructure that every team at the company depends on. You will be the primary authority on how information is modeled, governed, and served across operational, analytical, and AI workloads - driving quality, compliance, and reliability at scale. If you thrive in a role where your architecture decisions multiply the productivity and capability of entire teams, this is the opportunity for you. Key Responsibilities: Data Architecture & Platform Ownership: Define and own the enterprise data architecture strategy across operational, analytical, and AI/ML workloads Design and govern data models, data contracts, and canonical schemas used across product and platform teams Evaluate and standardize data platform tooling — data lakes, warehouses, streaming, and serving layers (GCP BigQuery, Pub/Sub, Dataflow, or equivalent) Serve as the primary point of contact and SME for shared data platform concerns acro

About the Team The Intelligence & Investigations Engineering team builds systems that detect, analyze, and disrupt abuse across OpenAI’s products. We partner closely with the Child Safety team and cross-functional groups to protect users while advancing OpenAI’s goal of developing AI that benefits everyone. About the Role As a Fullstack Engineer focused on child safety, you’ll build data-intensive, AI-powered applications and infrastructure that enable operators and investigators to work effectively and responsibly. You’ll adapt quickly in ambiguous, fast-moving environments to deliver well-crafted, reliable tooling for high-severity safety work. *Candidates should understand this role involves exposure to sensitive and egregious content. In this role, you will: 4+ years of experience as a software engineer Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm Work hand in hand with operators and investigators, designing and delivering systems that enable them to do their work faster, more accurately, and more safely. Develop across the stack: UIs, services, pipelines, and anything else required to solve the problems we face. Interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research Contribute to the team’s technical strategy, especially for child safety related tools and systems Report on impact in a data-driven fashion You might thrive in this role if you: Have a strong software engineering foundation and enjoy owning systems end-to-end—from infrastructure and data ingestion to frontend tooling Are energized by working at the frontier of AI capabilities, integrating new models and APIs into practical systems Have experience building and operating large-scale data pipelines or search/retrieval systems Are proficient in Python and/or TypeScript, and familiar with tools like Spark, Kafka, Flink, data warehouses, and SQL Take a product-minded ap

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Designs, builds, and maintains large-scale data infrastructure and data processing systems. Implements robust and scalable solutions to support data-driven applications, analytics, and business intelligence. What you will do Ensures seamless integration of data from different sources, such as databases, application programming interfaces (APIs), or streaming platforms. Optimizes data processing and query performance by fine-tuning data pipelines, database configurations, and data partitioning strategies. Establishes data quality checks and validations to identify and resolve data issues, ensuring high-quality and reliable data for downstream applications and analytics. Implements security measures to protect sensitive data throughout the data lifecycle by working closely with security teams to ensure data encryption, access controls, and compliance with data protection regulations. Collaborates with cross-functional teams, including data scientists, analysts, software engineers, and business stakeholders. Designs and develops data infrastructure, including data warehouses, data lakes, and data pipelines. Establishes auditing and monitoring mechanisms to track data access and maintain data governance standards. Establishes monitoring and alerting mechanisms