Learning And Development Partner in Bengaluru

Learning & Development Partner – Data Engineering Business Experience: 10–13 Years Role Purpose The Learning & Development Partner will work closely with the Data Engineering business leadership to design, drive, and deliver learning strategies that build critical technical capability, leadership depth, and future-ready skills. This role acts as a strategic partner to the business, ensuring learning directly enables business growth, delivery excellence, and talent readiness. Key Responsibilities Business Partnership & Strategy Partner with Data Engineering leaders to understand business priorities, capability gaps, and future skill needs. Translate business goals into structured learning roadmaps covering technical, leadership, and behavioral competencies. Develop and execute an AI capability-building roadmap for employees, aligned with business priorities and emerging technology trends. Act as a trusted advisor to leaders on talent development and skill readiness. Technical and Capability Development Design and curate learning interventions for Data Engineering roles. Leverage internal Subject Matter Experts (SMEs) and external partners to create high-impact, contextual learning programs. Ensure learning pathways are role-based, progressive, and aligned to career growth. Leverage AI tools for content design and development, and learning operations. Leadership and Behavioral Development Support the design and delivery of leadership development programs for technical and people leaders within the Data Engineering function. Embed skills such as communication, stakeholder management, execution excellence, and people leadership. Learning Governance and Effectiveness Define success metrics to measure learning effectiveness and business impact. Review learning outcomes through feedback from managers, mentors, and participants. Continuously refine programs based on data, feedback, and evolving business needs. Leverage Learning Management Systems (LMS) to track

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. About the Role We are looking for Staff System Software Engineer in Test to join our team. In this role, you will be responsible for design, development, automation and reporting of Integration and system tests spanning across firmware and device drivers. This role requires you to have significant technical breadth and deep understanding of low-level system software specifically in server class systems. You will be part of a new team responsible for integration of different system software deliverables and development of system tests spanning all the components. You will contribute to shaping the test strategy , guide best practices and solve complex problems while maintaining a strong hands-on focus. You will partner with development and other QA teams to deliver high quality scalable and reliable solutions. About the Team Integration and system test team is responsible for verification and validation of integrated components across Board management controller (BMC), Firmware and Linux device driver. The team is also responsible for management and maintenance of common tools and pipel

Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce V

Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale. In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services. You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers. The ideal candidate combines strong cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability. Key Responsibilities MLOps Platform and Architecture Design and implement a scalable MLOps platform using AWS and Databricks. Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models. Build standardized workflows that move models from development and validation into staging and production. Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure. Establish clear separation between development, testing, staging, and production environments. Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives. CI/CD and

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Product Manager, Product Platform (India) Company Overview Okta is The World’s Identity Company. We free everyone to safely use any technology - anywhere, on any device, for any app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. Role Overview: Product Manager, Product Platform This is a rare 0-to-1 opportunity to build a brand-new, high-visibility capability that touches every Okta customer: backup and recovery to strengthen the resilience of our system. You’ll be responsible for building a modern, self-service experience that allows IT Admins to recover back their accidentally or maliciously deleted identity objects. You'll partner closely with Engineering, Field, Pricing & Packaging, and Product leadership to shape a capability with direct, measurable impact on customer retention and revenue growth. Key Responsibilities Contribute to the long-term product vision and strategy for Okta's resilience strategy, ensuring the backup and recovery roadmap scales with the breadth of Okta's customer base and product portfolio. Design a self-service recovery center to ensure customers can seamlessly and securely track their deletions and changes and revert back across the entire Okta ecosystem. Collaborat e with India-based engineering and development scrum teams to d

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. We are looking for a high-impact Senior Software Engineer in Test (Sr. SET) to join our QA Core Team. In this role, you will partner closely with Infrastructure, Release Engineering, and Development teams to drive high availability, build scalable test automation, and optimize CI/CD release pipelines. You will take ownership of release-based testing, system observability, and automation services to ensure that weekly software releases are delivered seamlessly and with high quality across mission-critical systems. Key ResponsibilitiesTest Automation & System Quality Design, implement, and maintain scalable test automation frameworks for both server- and client-side systems using Java, TestNG, JUnit, and Selenium. Develop and execute comprehensive end-to-end and system test plans to validate new software changes against existing customer deployment patterns. Set up and manage automated test configurations, lab environments, and containerized test setups using Docker. Perform release-based validation, ensuring full compatibility, high availability, and uptime across weekly deployment cycles. CI/CD Pipeline Maintenance & Optimization Troubleshoot, debug, and optimize CI/CD pipelines (Jenkins, GitHub Actions, CircleCI, Buildkite) to reduce test execution times and eliminate flaky builds. Manage and optimize Maven-based build structures, dependency management, and automated release workflows. Write operational automation scripts using Python, Bash, or Gro

About the Role Sigmoid is looking to onboard a Senior Leader to anchor our CPG Supply Chain Analytics practice in Bengaluru. In this role, you will drive strategic initiatives, foster innovation, and provide visionary leadership to our Supply Chain Analytics practice. Roles and Responsibilities Leading and overseeing our Supply Chain Analytics Practice development, setting strategic direction and driving business growth. Develop and execute a comprehensive strategy to expand our presence in the industry practice, identifying market opportunities and driving revenue growth. Collaborate with sales, marketing, and business development teams to develop go-to-market strategies, identify key clients, and drive new business opportunities. Facilitate the development of advanced analytics (AI/ML) and data modeling to optimize decisions. Knowledge Management: Author or contribute to articles and Intellectual Capital that advance the quality of client service and oversee practice-level knowledge management activities to lead and propagate a knowledge management culture within management consulting services. Partner with clients to understand their business challenges and opportunities, providing strategic guidance and innovative solutions. Drive thought leadership initiatives, representing our company at industry events, conferences, and forums. Qualifications Bachelor’s Degree (BE/BTech - CS) from Tier I/II universities like IITs/NITs and MBA from top-tier B-schools (IIM) preferred. 8-12 years of experience in consulting and implementing Data & Analytic solutions for large CPG customers. Direct front-office consulting experience with strategic customer leadership is a must. Strong leadership and management skills, with the ability to inspire and motivate teams to achieve excellence. Excellent communication and interpersonal skills, with the ability to build and maintain relationships with clients and stakeholders. Strategic mindset, with the ability to think critic

About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. Why Globalization Excellence (GE) Zinnov’s Globalization Excellence (GE) practice helps enterprises build and scale Global Capability Centers (GCCs) end-to-end — from Design & Discovery to Build, Scale, and Run. In GE, you don’t work in silos. You: Own complex, end-to-end client journeys Work across GCC advisory, managed services, and BOT / outsourcing models Influence leadership decisions that shape long-term talent and operating strategies This is where strategy meets execution — and where talent plays a defining role. About the Role As Principal , you will serve as both a consulting leader and business builder. You will drive large, complex GCC strategy engagements for global clients while leading revenue growth, thought leadership, and capability development initiatives. This role requires stron

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta is seeking a Staff Analyst – People Technology to join our Business Solutions Team. In this critical role, you will partner closely with the People Technology leadership and play a key role in our Workday transformation efforts. As part of a cross-functional team, you will collaborate with stakeholders across People, Payroll, IT, Finance, and international offices to optimize and scale our HR systems and processes. This role is ideal for someone who is passionate about solving complex business challenges, driving innovation through automation, and delivering a best-in-class user experience. Job Duties and Responsibilities Key Responsibilities Own the end-to-end architecture and technical design of Workday Extend applications, integrations, and supporting technology solutions. Define scalable, secure, resilient, and maintainable application architecture, integration architecture, data flows, API strategies, and technical standards . Architect and lead the development of complex Workday Extend applications using TypeScript/JavaScript, Workday APIs, and Extend frameworks. Architect enterprise Workday integrations using Workday Studio, EIB, Core Connectors, RaaS, REST APIs, SOAP Web Services, and Workday Web Services . Evaluate business requirements and determine the appropriate solution across Workday configuration, Extend, integrations, APIs, AI, cloud services, and third-party platforms . Establish architectural patterns and reusable frameworks fo

AI/ML – Investment Services A Career with Point72's AI/ML – Investment Services Team The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning. WHAT YOU'LL DO Build and scale core backend services and platforms that power generative AI applications and data infrastructure used across the firm’s investment workflows Design and implement high-throughput, low-latency data pipelines to ingest, normalize, and serve both structured and unstructured data Develop robust APIs and microservices to support model inference, feature serving, and downstream applications Integrate generative AI tools and model-serving workflows into production, including embedding stores, retrieval components, and fine-tuning pipelines Optimize system performance, cost, and reliability through profiling, capacity planning, and architectural improvements Implement automated testing, continuous delivery pipelines, monitoring, and incident response practices to maintain production health Partner with data scientists, AI engineers, product owners, and operations to translate models and prototypes into scalable, production-grade solutions Mentor engineers, lead code reviews, and establish engineering best practices for maintainability, security, and observability Own end-to-end delivery, operational runbooks, and metrics-driven measurement of feature impact and system reliability WHAT'S REQUIRED Bachelor’s degree in computer science, software engineering, or a related technical field Minimum 5+ years of professional experience building backend systems and production services Demonstrated experience designing and operating large-scale data engineering pipelines

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta Workflows is the foundation for secure integration between cloud services. By harnessing the power of the cloud, Okta allows people to quickly integrate different services, while still enforcing strong security policies. It integrates directly with an organization’s existing services such as directories and identity systems, as well as many other applications. With Okta Workflows, organizations can automate processes quickly, easily, at a large scale, and low total cost - all within an intuitive, no-code interface. Hundreds of customers, including NTT, MGM, Netflix, and more, trust Okta Workflows to help their organizations work faster, boost revenue, and stay secure. Position Description We are looking for a full-stack JavaScript engineer that has a deep understanding of both backend service engineering and user interface development. In this role, you will be a vital part of our Workflows Integrated Development Environment team. You will share our passion and great pride in building elegant solutions and will join an engineering team that prioritizes scalability, rigorous code reviews, automated testing, and an iterative approach to build high-quality, next-generation enterprise software. You will be part of a full-stack engineering team at Okta that provides opportunities to investigate new technologies and share knowledge, tools, code, and best practices. You will get an opportunity to solve hard problems while partnering with product management an

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. About Technology Data and Intelligence at Okta At Okta, the Technology Data and Intelligence (TDI) team drives internal efficiency through secure, scalable, and innovative systems. TDI partners with teams across the company to build and support the infrastructure, automation, and enterprise applications that keep operations running smoothly. Focused on enabling productivity and aligning technology with business goals, TDI plays a vital role in both day-to-day operations and long-term strategic growth. The Staff Software Engineer Opportunity We are looking for a Staff Software Engineer to join our growing team in TDI and help scale our internal business solutions with a sharp focus on security, reliability, scalability, and intelligent automation. You will be responsible for designing and developing customization

About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. About the Role As People Success Partner (PSP) – Senior Analyst/Analyst, you will support end-to-end people execution across key HR pillars — HR operations, compensation support, learning & development enablement, talent processes, and employer branding. This role is designed for a high-ownership HR generalist who can run structured people processes, build strong employee connect, and use data and insights to improve engagement, performance, and retention. You will work closely with People Success Partners and business leaders to drive predictable HR delivery, strengthen culture and communication, and ensure employees and managers get timely, high-quality support. What You’ll Do People Pulse, Engagement & Culture Track the pulse of employees through health checks, pulse surveys, exit i

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What you'll do Lead the design, development, and operation of scalable, enterprise-grade AI/ML architectures and systems with a strong emphasis on reliability, availability, and performance. Lead and mentor a team of engineers, driving technical direction, code quality, and iterative delivery of large-scale solutions. Partner closely with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products. Own the end-to-end lifecycle of GenAI services, including LLM inference, model serving, and proxy/gateway layers that support multiple downstream applications. Define and uphold engineering best practices around observability, scalability, security, and cost efficiency for AI/ML platforms. Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems. Stay abreast of the latest advancements in AI/ML technologies and methodologies, and translate them into pragmatic solutions for the business. Ensure compliance with industry standards and best practices in AI/ML. What's required Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in software/AI/ML engineering, with a proven track record of successful delivery of complex, production-grade systems. Demonstrated experience building large-scale enterprise-grade services with high reliability, availability, and observability (SLO/SLA-driven en

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . We are seeking an experienced Principal Software Engineer to lead the architecture, development, and evolution of a large-scale malware analysis and cybersecurity platform. This role will own the end-to-end technical architecture across Python-based analysis pipelines, message-driven job orchestration systems, Windows VM sandbox environments, and web-based interfaces. The ideal candidate brings deep expertise in software engineering, malware analysis, and distributed systems, with a proven ability to take ownership of complex legacy platforms and drive modernization initiatives. You will lead the design and implementation of advanced detection capabilities, including behavioral analysis, malware sandboxing, machine learning-based classification, and support for new file types, while ensuring platform scalability, reliability, and performance. This position requires strong hands-on development skills in Python with Linux-based production environments, messaging architectures such as RabbitMQ, virtualization technologies, and cloud-native deployment practices. As the technical leader for the platform,