Lead Design Management in India

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. Portworx by Everpure(Formerly Pure Storage) Everpure Acquired Portworx in October 2020, Creating the Industry's Most Complete Kubernetes Data Services Platform for Cloud Native Applications. This acquisition represents Pure’s largest to date and our deeper expansion into the fast-growing market for multi-cloud data services to support Kubernetes and containers. WHAT YOU'LL DO Lead the design, development, and deployment of Portworx's Kubernetes-native backup and restore solution, serving as a technical anchor for the team. Design and build cloud-native services that operate reliably at scale, with a strong emphasis on performance, quality, and efficiency in both design and implementation. Deeply leverage Kubernetes constructs (operators, CRDs, controllers, CSI) to build robust, production-grade data protection capabilities. Ensure security, resilience, stability, and high availability are first-class considerations in every design and implementation decision. Design and develop robust, well-defined APIs that integrate seamlessly with the frontend and Web UI. Drive architectural decisions and technical direction for the product, mentor engineers, and set the bar for engineering quality through design reviews and code reviews. Own end-to-end delivery of complex features — from design documents through implementation, testing at scale, and production readiness. We are primarily an in-office environment and therefore, you will

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. The Mission As a Lead Software Engineer working on the Appian platform, your mission is to be the technical anchor for our most ambitious engineering initiatives. You will ensure Appian is always fast, scalable, and resilient, regardless of the complexity our customers demand. While a Senior Engineer focuses on feature health, you are focused on platform evolution . You will lead the design and orchestration of high-stakes systems, integrating cutting-edge AI into the core fabric of our product. This role demands a balance of elite coding mastery, visionary system architecture, and the ability to align technical roadmaps with Appian's overarching business strategy. Key Responsibilities The Lead Software Engineer isn't just "the best coder"—they are the architect of the team’s success and the guardian of our technical future. Technical Strategy & Roadmap: Work alongside Product Leadership to transform long-term business goals into scalable technical milestones. You don't just build features; you define the technical "North Star." Advanced Architecture: Lead the design of distributed, event-driven, and cloud-native systems. You are responsible for making high-level decisions on system boundaries, data consistency, and integration patterns. AI Orchestration & Innovation: Drive the adoption of AI-native engineering and an AI-native culture within the team. This includes using AI tools to improve developer productivity and implementing AI features into the platform to make the Appian platform more intelli

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview CSR2 is one of the most successful mobile racing games in the world, and we’re evolving the experience for millions of players. We’re looking for a Lead/Senior Game Designer who can shape impactful systems, elevate the player experience, and strengthen the overall design function across pods. This role combines strong systems design craft with leadership, collaboration, and an ability to drive clarity and alignment. What You'll Do : Lead the design of major systems and features that deepen CSR2’s progression, engagement, and long-term meta Drive end-to-end feature delivery—including concepts, specs, flows, balancing, prototyping, iteration, and final launch Partner closely with Product, Engineering, UX, Art, and LiveOps to align goals, define KPIs, and ensure high-quality execution

Senior Consultant-We are seeking a seasoned ITES Solution Architect to lead the design and execution of enterprise-grade IT infrastructure projects. -"Key Responsibilities: Infrastructure Architecture & Design • Design and implement end-to-end IT infrastructure solutions including compute, storage, network, and security. • Architect high-availability systems with failover clustering, load balancing, and redundancy. • Define and implement disaster recovery strategies with clear RTO/RPO objectives. Data Center & DR Strategy • Design and manage primary and secondary data center environments. • Plan and execute DR site configurations, ensuring seamless failover and recovery. • Implement real-time or scheduled data synchronization between DC and DR using replication technologies (e.g., SAN replication, DFS-R, Veeam, Zerto). Backup & Recovery Planning • Develop and maintain enterprise backup strategies using tools like Commvault, Veeam, or NetBackup. • Ensure secure, encrypted backups with retentio

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

Location: Mumbai, India (Andheri East) Description: We’re hiring Senior Software Engineers to lead the design and delivery of robust, scalable, and production-grade data systems across a high-growth, multi-venture environment. This is a high-impact leadership role for someone who thrives in hands-on build mode, and who can scale technical delivery without losing speed, quality, or ownership. If this is interesting, we would love to hear from you! About Blenheim Chalcot Blenheim Chalcot India is part of Blenheim Chalcot a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million. The role We’re hiring Senior Software Engineers to build scalable products, tools, and systems across our portfolio companies. This is a high-impact role for someone who thrives in hands-on engineering, writes maintainable code, and is deeply motivated by solving real-world problems with technology. You’ll work closely with product and engineering colleagues in both Mumbai and London, driving delivery within a specific business. If you're passionate about engineering craft, product-led development, and delivering systems that scale, we’d love to hear from you. Behaviours that we look for Solve problems rigorously , not reactively - breaking them down into tractable elements and considering multiple paths to resolution. Write clean, defensive code with clear structure and minimal complexity. Think about testing and observability early , automating meaningful tests and implementing relevant metri

About the role (Remote) We're hiring a Senior Product Designer to join our global UX team. You'll own design within your product cluster — working directly with the engineers and PMs in those areas to define problems, shape solutions, and ship work that holds up. This is an end-to-end role. You lead discovery, define the interaction model, produce specs, and stay close through implementation. You're also expected to contribute to the systems and standards the whole team relies on. The Senior Product Designer will report to our Product Design Manager, and will work with our EU, UK and US based designers. You're part of a distributed team, so async clarity and proactive communication are as important as craft. What you’ll do Lead the design of complex AI-powered interactions in your product cluster, accounting for trust, transparency, fallback states, and human-in-the-loop considerations Embrace the use of modern AI-based tools like Claude, Figma Make, Cursor, Vercel, Loveable or equivalent not as theatre, but as a meaningful multiplier to your workflow. Partner with our UX research team to lead interviews, usability tests, and competitive analysis and translate findings into clear product direction and guidance Develop presentations, wireframes, mockups, and prototypes that effectively communicate interaction and design intent across web and mobile surfaces. Partner with PMs to shape requirements and with engineers to protect design intent through delivery Contribute to Showpad's design systems — adding components, documenting patterns, raising consistency across product areas Communicate design rationale through strategic storytelling: you can walk a PM, an engineer, and a senior stakeholder through the same decision and each one gets what they need Establish scalable AI-assisted workflows for your own work — research synthesis, rapid prototyping, concept generation — and help others on the team use them effectively Deliver UX solutions that measurably improve

Opportunity Overview: As a Staff Data Scientist at Cohere Health, you will serve as a technical leader across high-priority initiatives, shaping how data science is applied to some of the most complex challenges in healthcare. You’ll drive the design of advanced analytical and modeling solutions, influence strategic direction, and partner deeply across Product, Clinical, and Engineering to deliver scalable, high-impact outcomes. This role goes beyond execution. You’ll define approaches, set standards, and guide others in solving ambiguous, high-leverage problems. You’ll play a critical role in advancing the maturity of data science at Cohere while contributing directly to improving clinical and operational decision-making. What you’ll do: Lead the design and execution of complex, high-impact data science initiatives across multiple domains Define analytical frameworks and modeling approaches for ambiguous, strategic problem spaces Partner with senior stakeholders to shape problem definition, prioritize opportunities, and influence decision-making Develop and deploy advanced models and scalable analytical solutions that drive measurable outcomes Establish best practices for experimentation, model development, and analytical rigor across the team Mentor and guide other data scientists, providing technical leadership and elevating team capabilities Drive cross-functional alignment to ensure solutions are practical, scalable, and integrated into workflows ISMS roles and responsibilities: Good knowledge of Information security Oversee specific business processes within the ISMS. Responsible to manage the ISMS documentation, conduct risk assessments, and implement risk treatment plans. Risk Owners are responsible for identifying, assessing, and managing risks within their areas of responsibility. They are also responsible for implementing risk treatment plans. Conduct the BCP and other test related to information security continuity along with CISO Responsible for monitor

Position Overview: We are looking for a Senior Software Engineer to drive technical excellence, architect complex systems, and elevate our engineering team. You will own critical technical decisions, lead major initiatives from conception to delivery, and set the standard for engineering quality across our products. As a senior engineer, you will architect and lead the development of sophisticated AI-enabled features and infrastructure. This includes designing MCP server architectures, building advanced RAG systems, implementing agentic AI workflows, and establishing patterns that scale across our product portfolio. You will combine deep technical expertise in both traditional software engineering and AI/ML to deliver production-grade solutions. What You'll Do Lead the design and implementation of AI integration infrastructure (MCP servers, orchestration layers, API gateways) Build sophisticated AI features including advanced RAG systems, agentic workflows, and multi-step reasoning Establish AI engineering best practices, security patterns, and quality standards Lead technical initiatives from requirements through production deployment Make critical architectural decisions balancing performance, scalability, cost, and maintainability Design AI evaluation frameworks and implement quality benchmarks Debug and resolve complex production issues across traditional and AI systems Required Qualifications Tech Stack Core: Node.js, React, TypeScript, AWS, PostgreSQL, MSSQL, Docker AI & Integration: Python, MCP, AWS Bedrock, LangGraph/Semantic Kernel, Vector Databases, RAG Core Technical Skills 5+ years professional development with proven track record of delivering complex systems Strong Node.js and JavaScript/TypeScript expertise Advanced React and frontend architecture skills Extensive AWS architecture experience Expert PostgreSQL database design, optimization, and performance tuning Deep understanding of microservices, distributed systems, and

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

Opportunity Overview: This is a unique opportunity to join a software engineering team that is growing quickly. You will build impactful healthcare technology on a modern stack utilizing your full stack software engineering background. Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles . We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. What you’ll do: Lead technical design and architecture for complex features across our business intelligence platform Take full ownership of end-to-end feature releases, platform enhancements, and system optimization initiatives Drive technical decision-making by conducting thorough analysis, evaluating trade-offs, and making data-driven architectural choices Architect and implement highly scalable cloud-based data services, APIs, ETL pipelines, and user interfaces Build mission-critical backend systems supporting analytics, reporting, and complex data query capabilities at scale Design and develop intuitive UI platforms and interactive dashboards for data visualization and business intelligence Champion engineering excellence by establishing and enforcing best practices, design patterns, and coding standards Optimize system performance, identify bottlenecks, and implement solutions for scalability and reliability Define and maintain comprehensive test strategies, ensuring high code quality and test coverage Actively participate in ensuring Cohere maintains a disciplined approach to healthcare security, compliance, and data governance Mentor and coach junior and mid-level engineers, fostering their technical growth and career development Collaborate cross-functionally with product, data science, analytics, and business stakeholders to deliver robust technical solutions ISMS roles and respon

About The Role & Team The Developer Experience (DX) team at Amplitude builds and maintains the foundations that power how developers integrate, extend, and trust Amplitude across platforms. Our mission is to make Amplitude’s SDKs reliable, easy to adopt, and a joy to build on, so customers can confidently instrument their products and unlock insights at scale. We’re looking for a Senior Software Engineer, iOS to play a key technical leadership role on our DevEx team. In this role, you will lead the design and development of Amplitude’s core iOS SDKs, including Analytics and Session Replay , and serve as the iOS platform expert that other SDK teams, such as Experiment, Guides, and Surveys rely on. As a Senior Engineer, you’ll operate with a wide scope and high impact: setting technical direction for the iOS platform, driving cross-SDK architecture, improving performance and reliability, and raising the bar for developer experience across Amplitude’s mobile ecosystem. As a Senior Software Engineer, you will: Lead the technical direction, architecture, and long-term evolution of Amplitude’s iOS SDK platform. Own and drive development of core iOS SDKs, including Analytics and Session Replay, with a strong focus on performance, reliability, and ease of use. Act as the iOS platform expert and trusted partner for other SDK teams (Experiment, Guides & Surveys), enabling them to build on shared foundations safely and efficiently. Design and evolve shared infrastructure, APIs, and abstractions that scale across multiple iOS SDKs. Collaborate closely with Product, and Customer Support to ensure SDKs meet real customer needs. Lead cross-team technical discussions, reviews, and architectural decisions that span multiple SDKs. Improve developer experience through better APIs, documentation, tooling, testing strategies, and sample apps. You'll be a great addition to the team if you have: A strong focus on developer experience and empathy for the engineers who use your work

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. At Okta, we are building the future of secure, enterprise-grade cloud automation and system connectivity. We are looking for a Senior Software Engineer to join our global Automation Engineering team to design, scale, and govern our enterprise integration substrate using AWS cloud services and modern iPaaS platforms. This is a senior individual contributor role for a hands-on system engineer who can set technical standards, establish integration best practices, and partner with cross-functional teams to automate complex business workflows at scale. What You'll do : Lead technical design and execution for automation initiatives within the team, creating paved paths that enable builders across Okta to connect enterprise systems seamlessly. Design, build, and deploy high-throughput event-driven integration flows , API gateways, and async orchestration workflows using AWS architectures and iPaaS platforms. Build reusable frameworks , developer SDKs, self-service primitives, and integration templates to streamline automation delivery. Serve as a technical domain expert on AWS cloud services and modern iPaaS tooling, driving scalable architecture, reliability, and builder enablement. Partner with operations, security, and platform teams to strengthen monitoring, observability, structured audit logging, and automated governance. Mentor team members and participate in cross-functional design reviews , instilling a platform engineering mindset and raising the b

Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Bloomreach is seeking a seasoned Staff Machine Learning Engineer to join our Search Quality team and lead the design and implementation of machine learning and Al-driven solutions that improve search relevance and discovery experiences for our customers. The Search Quality team focuses on building intelligent, scalable solutions that understand user queries, product catalogs, and behavioral signals to deliver the most relevant search results. We work at the intersection of Machine Learning, Information Retrieval, Search Relevance, and Software Engineering to solve challenging problems across the search stack. This is a Staff ML Engineer role, so we are looking for someone who can combine strong ML expertise with solid software engineering skills and take end-to-end o