8 Druid Jobs

About the team When 5% of Indian households shop with us, its important to build resilient systems to manage millions of orders every day. We’ve done this – with zero downtime! Sounds impossible? Well, that’s the kind of Engineering muscle that has helped Meesho become the e-commerce giant that it is today. We value speed over perfection, and see failures as opportunities to become better. We’ve taken steps to inculcate a strong ‘Founder’s Mindset’ across our engineering teams, making us grow and move fast. We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. As Engineering Manager, you will be part of self-starters who thrive on teamwork and constructive feedback. We know how to party as hard as we work! If we aren’t building unparalleled tech solutions, you can find us debating the plot points of our favourite books and games – or even gossipping over chai. So, if a day filled with building impactful solutions with a fun team sounds appealing to you, join us. About the role We are looking for a seasoned Engineering Manager well-versed with emerging technologies to join our team. As an Engineering Manager, you will ensure consistency and quality by shaping the right strategies. You will keep an eye on all engineering projects and ensure all duties are fulfilled. You will analyse other employees’ tasks and carry on collaborations effectively. You will also transform newbies into experts and build reports on the progress of all projects What you will do Design tasks for other engineers, keeping Meesho’s guidelines and standards in mind Keep a close look on various projects and monitor the progress Drive excellence in quality across the organisation and solutioning of product problems Collaborate with the sales and design teams to create new products Manage engineers and take ownership of the project while ensuring product scalability Conduct regular meetings to plan and develop reports on the progress of projects What you will need Bachelor's / Master’s in computer science At least 8+ years of professional experience At least 4+ years’ experience in managing software development teams Experience in building large-scale distributed Systems Experience in Scalable platforms Expertise in Java/Python/Go-Lang and multithreading Good understanding on Spark and internals Deep understanding of transactional and NoSQL DBs Deep understanding of Messaging systems – Kafka Good experience on cloud infrastructure - AWS preferably Ability to drive sprints and OKRs with good stakeholder management experience. Exceptional team managing skills Experience in managing a team of 4-5 junior engineers Good understanding on Streaming and real time pipelines Good understanding on Data modelling concepts, Data Quality tools Good knowledge in Business Intelligence tools Metabase, Superset, Tableau etc. Good to have knowledge - Trino, Flink, Presto, Druid, Pinot etc. Good to have knowledge - Data pipeline building

We are seeking a skilled and experienced Druid Developer to design, develop, and maintain real-time data analytics solutions using Apache Druid. The ideal candidate will have hands-on experience working with Druid, a deep understanding of distributed systems, and a passion for processing large-scale datasets. You will play a pivotal role in creating scalable, high-performance systems that enable real-time decision-making. Technical Skills: Strong experience with Apache Druid, including ingestion, query optimizations, and cluster management. Proficiency in real-time data streaming technologies (e.g., Apache Kafka, AWS Kinesis). Experience with data transformation and ETL processes. Knowledge of relational and NoSQL databases (e.g., PostgreSQL, MongoDB). Hands-on experience with cloud platforms (AWS, GCP, Azure) for deploying Druid clusters. Proficiency in programming languages like Java, Python, or Scala. Familiarity with containerization tools like Docker and orchestration tools like Kubernetes.

About the Role The Search platform currently powers Rider and Driver Maps, Uber Eats, Groceries, Fulfilment, Freight, Customer Obsession and many such products and systems across Uber. We are building a unified platform for all of Uber's search use-cases. The team is building the platform on OpenSearch. We are already supporting in house search infrastructure built on top of Apache Lucene. Our mission is to build a fully managed search platform while delivering a delightful user experience through low-code data and control APIs . We are looking for an Engineering Manager with strong technical expertise to define a holistic vision and help builda highly scalable, reliable and secure platform for Uber's core business use-cases. Come join our team to build search functionality at Uber scale for some of the most exciting areas in the marketplace economy today. An ideal candidate will be working closely with a highly cross-functional team, including product management, engineering, tech strategy, and leadership to drive our vision and build a strong team. A successful candidate will need to demonstrate strong technical skills, system architecture / design. Having experience on the open source systems and distributed systems is a big plus for this role. The EM2 role will require building a team of software engineers, while directly contributing on the technical side too. What the Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Provide technical leadership, influence and partner with fellow engineers to architect, design and build infrastructure that can stand the test of scale and availability, while reducing operational overhead. Lead, manage and grow a team of software engineers. Mentor and guide the professional and technical development of engineers on your team, and continuously improve software engineering practices. Own the craftsmanship, reliability, and scalability of your solutions. Encourage innovation, implementation of ground breaking technologies, outside-of-the-box thinking, teamwork, and self-organization Hire top performing engineering talent and maintaining our dedication to diversity and inclusion Collaborate with platform, product and security engineering teams, and enable successful use of infrastructure and foundational services, and manage upstream and downstream dependencies ---- Basic Qualifications ---- Bachelor's degree (or higher) in Computer Science or related field. 10+ years of software engineering industry experience 8+ years of experience as an IC building large scale distributed software systems Outstanding technical skills in backend: Uber managers can lead from the front when the situation calls for it. 1+ years for frontline managing a diverse set of engineers ---- Preferred Qualifications ---- Prior experience with Search or big data systems - OpenSearch, Lucene, Pinot, Druid, Spark, Hive, HUDI, Iceberg, Presto, Flink, HDFS, YARN, etc preferred. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. .Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .

Job Summary : We are looking for a Senior Software Engineer, who will play a key role in building and enhancing the technology that powers our flight booking platform. Youll work on challenges such as dynamic pricing, booking reliability, and third-party airline integrations. Were looking for someone who combines strong software engineering fundamentals with domain knowledgeor a passion to learnabout the travel and aviation industry. If you thrive in a fast-paced environment and love building high-impact systems that serve thousands of users daily, we would love to meet you. Job Responsibilities : B.E/B.Tech in Computer Science or a related subject. 6+ years of experience in software development, ideally in high-scale environments Proficient in C# dot net core, experience with microservices and RESTful APIs. Write automated tests to ensure code quality and stability Strong troubleshooting and problem-solving skills. Troubleshoot problems with 3rd party integrations & provide solutions in a fast-paced environment Collaborate with product managers, architects, and other engineers to deliver high-quality features Lead by example in code reviews, design, architecture discussions and mentoring juniors Participate in Incident management and solve production issues with sense of urgency and ownership Job Requirement : Experience in Agile software development. Experience in travel or airline booking systems is a big plus Understanding of airline industry protocols (GDS, NDC, IATA standards) is a strong advantage Understanding of tools like ELK stack, Grafana, Druid etc would be an added advantage. Familiarity with CI/CD, containerization etc Experience with any cloud platform (GCP is a plus, AWS, Azure etc) Experience in a small team handling while working as an individual contributor Interested candidates can email their CV to charmi.kapadia@tripstack.com Reach out : 9326635865

About Lowes Lowes Companies, Inc. (NYSE: LOW) is a FORTUNE 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowes operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowes India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe’s customers. Lowe’s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe’s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in. About the Team DACI AI platform team engages in building and managing AI solutions and tools. AI Platform manages products and tools to enable teams across Lowe’s to build AI solutions in terms of providing access to LLMs and tools required in building ML lifecycle on both on premise and cloud(GCP VertexAI). Job Summary The primary purpose of this role is to develop an artificial intelligence (AI) platform that supports a wide array of machine learning (ML) models, including sophisticated deep learning frameworks and large language models (LLMs). This role will work on scaling model performance, building essential tools and frameworks, and managing compute and storage resources. The role involves close collaboration with cross-functional teams to identify new opportunities leveraging AI platform capabilities across different domains to accelerate AI infused product development. Roles & Responsibilities Scales the platform for high performance and integrates new AI capabilities as APIs to ensure the platform remains adaptable and efficient in hosting a variety of ML models. Designs, develops, and implements tools and frameworks that support ML experimentation and deployment. Manages GPU and CPU resources to optimize the execution of AI models to ensure the platform runs efficiently, balancing performance with cost-effectiveness. Works closely with data scientists to integrate AI models smoothly into platform. Creates and manages efficient data movement and pipelines for the AI platform to operate smoothly. Optimizes data flows to support the demands of high-velocity AI model training and inference. Analyzes platform performance metrics and user feedback to drive continuous improvement initiatives. Utilizes insights to guide platform enhancements, ensuring the AI platform remains at the forefront of technological advancements and user satisfaction. Collaborates effectively with diverse teams, integrating technical expertise with business insights and user needs. Implements security protocols and governance measure for AI platform, ensuring data integrity and compliance with industry standards and best practices. Years of Experience 5-8 years of overall work experience in AI Engineering. Education Qualification & Certifications Bachelor’s Degree (Science, Technology, Engineering, Math or related field) Skill Set Required Experience in AI/ML Platform Engineering, Data, and ML Operations tools and frameworks. Experience working with GPU and CPU Infrastructure, optimizing ML models for performance. Programming experience in Python or equivalent. Experience working with Continuous Integration/Continuous Deployment tools Experience in defining technical requirements and performing high level design for complex solutions Experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI.

About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. We are seeking a visionary and dynamic Staff Engineer to join our ZPA Datazone team. You will be reporting to the Senior Director, you'll be responsible for: Working closely with Principal Engineers, collaborating on architectural changes, product designs thereby making impactful changes Building and operating high scale systems Overseeing the software development lifecycle to deliver quality products and aligning technical solutions with product and user needs What We're Looking for (Minimum Qualifications) 6+ years of experience in Java/C# coding in a highly distributed and enterprise-scale environment Experience being oncall and dealing with cloud incidents and writing RCAs Working knowledge of cloud infrastructure services on AWS/Azure Great mentor and coach Bachelor Degree/or Masters Degree in computer science or equivalent experience What Will Make You Stand Out (Preferred Qualifications) Experience building full CI/CD systems leveraging Kubernetes for Microservices Experiences building reliable and extensible data tiers for large scale web services (Postgres and Redis) Experience building web service frameworks with Logging and Analytics experience with Druid, Kafka, Opensearch #LI-Hybrid #LI-MS6 At Zscaler, we believe that diversity drives innovation, productivity, and success. We are looking for individuals from all backgrounds and identities to join our team and contribute to our mission to make doing business seamless and secure. We are guided by these principles as we create a representative and impactful team, and a culture where everyone belongs. For more information on our commitments to Diversity, Equity, Inclusion, and Belonging, visit the Corporate Responsibility page of our website. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status or any other characteristics protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. For additional information about the federal requirements, click here . Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Minimum qualifications: Bachelor's degree in Computer Science, or equivalent practical experience 15 years of customer-facing experience designing and deploying distributed data processing systems with one or more technologies Experience with SQL data bases (e g , PostgreSQL, MySQL, Oracle) and NoSQL data bases (e g , Mongo, Cassandra, DynamoDB, etc ) Experience with different types of data modeling techniques and methodologies for traditional Online Analytical Processing or Online Transaction Processing (OLAP/OLTP) databases and modern data warehouses Preferred qualifications: Certification in Cloud 8 years of experience demonstrating technical client service Experience reading software code in one or more languages such as Java, Python, NodeJS, Golang, Javascript Experience devising migration approach, and migrating on premise data processing systems to Cloud Experience designing and deploying large-scale distributed data processing systems with one or more technologies: Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, Flink, Kafka, Druid, Hive, HBase, Vertica, Netezza, Teradata, Tableau, or MicroStrategy Knowledge of building and operationalizing data pipelines About The Job The Google Cloud Platform team helps customers transform and build what's next for their business ? all with technology built in the cloud Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware Our teams are dedicated to helping our customers ? developers, small and large businesses, educational institutions and government agencies ? see the benefits of our technology come to life As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners In this role, you will work with customers on critical projects to transform their business with data You will provide consulting, solution design, and technical program management capabilities to customer engagements while directing customer executives and technical stakeholders on project related decisions You will serve as a liaison between our customers and product teams to drive product excellence and adoption In addition, you will also work with Google partners currently servicing accounts to manage programs, deliver consulting services, and provide technical guidance Google Cloud accelerates every organizations ability to digitally transform its business and industry We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems Responsibilities Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement Work with internal specialists, product and engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets Interact with business, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes Propose solution architectures and manage the deployment of cloud based databases, big data, and analytics solutions according to customer requirements and implement best practices Travel up to 40% of the time for client engagements as needed Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form

Role & responsibilities Very Important SKILL SET as per project need Managing & liaising with relevant stakeholder for escalated issues and enhancements. Apache Druid/Superset Admin Support with bug fixes and security patches and application-level security fixes Hadoop Support Engineer / Consultant to support our client onsite in Bangalore Location. 100% onsite Job Opportunity Scope - Managed Services Level 2 & Level 3 - User and cluster support for all Analytical Production & Non-Prod clusters Application/user query tuning and optimization Cluster patching, version upgrades, bug fixes deployment and new enhancements deployment Deploy security patches, CVE fixes deployment, regular maintenance of all clusters in scope including clean up, purging etc. Application & user onboarding, resource allocation, User access requests and other related Platform requests or queries resolution Hardware and network issue coordination with relevant stakeholders and provide resolution to end users of Hadoop Platform. Cluster expansion on all clusters. Managing & liaising with relevant stakeholder for escalated issues and enhancements. Apache Druid/Superset Admin Support with bug fixes and security patches and application-level security fixes 18x5 Support for tickets during the weekdays. On-call support for P1/P2 issues during weekends Create needed JIRA tickets for L4 Development team All the activities will be driven via Visas Service Now portal called as AskNow. The latest trends for last 6 months is roughly around 60/10 tickets/month comprising of all categories Incidents & Requests and Change approval tasks should be resolved in a timely manner within defined SLAs (indicative SLAs as below and to be firmed up during contracting stage) 60% tickets to be resolved within same business day. 90% tickets to be resolved within 3 business days. Resolution time for the rest 10% of tickets to be agreed with Visa Manager within 3 business days after ticket creation. Techstack and tools would primarily include Hadoop, HDFS, Spark, Hive, Kafka, Ranger, Yarn, Ambari, Kerberos ,Apache Airflow , Zookeeper, Druid , Superset etc Preferred candidate profile Bangalore Local Candidates Perks and benefits As per company policy