Engineering Manager Platform Migration Services Auth0 Salary India Jobs

We're looking for a senior technical consultant who thrives across the full arc of a complex technical engagement, from pre-sales scoping and architecture through hands-on delivery and handoff. As the sole Technical Services presence in EMEA, you'll work with our most strategic enterprise customers to design and implement custom solutions on the Asana platform, partnering closely with Account Executives, Solutions Consultants, and Customer Success Managers to move deals forward and deliver with excellence. You'll write code, shape architecture, and engage directly with IT and business leaders, bringing the same rigor, standards, and craft that define Technical Services globally to every engagement you run in the region. In the pre-sales motion, you'll partner with AEs and SEs to assess technical feasibility, define scope, and shape deal strategy for complex enterprise opportunities. In the post-sales motion, you'll own delivery end-to-end, designing and building scalable solutions using the Asana platform and third-party APIs, advising customer engineering teams on integration architecture, and helping customers unlock new value through AI-powered workflows, data migrations, and custom automation. You'll work alongside Implementation Managers to coordinate delivery, align on project milestones, and ensure a seamless customer experience from kickoff through close. You'll operate as a high-trust extension of the global Technical Services team, bringing a sharp customer-centric perspective from EMEA back to the central practice and contributing to how we evolve GTM offerings, delivery frameworks, tooling, and the Asana developer platform. A core part of this role is establishing consistent, globally-aligned ways of working across EMEA, applying the same playbooks, delivery standards, and engagement practices that define Technical Services everywhere. This role is based in our Dublin office with an office-centric hybrid schedule. The standard in-office days are Monday,

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Full Stack Data Engineer is responsible for designing, developing, supporting, and enhancing Trade Operations applications, data pipelines, and cloud-based services that power the end-to-end Trade data lifecycle. This role combines software engineering, data engineering, cloud technologies, and operational support to ensure Trade data is processed accurately, securely, and efficiently from ingestion through product delivery. The engineer will partner closely with Trade Operations Analysts and Technology teams to build scalable solutions, automate manual processes, improve data quality, modernize legacy platforms, and support strategic initiatives such as market onboarding, cloud migration, and AI-driven process improvements.

About Sigmoid Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best-in-class end-to-end data value chain capabilities spanning Data Science, Data Engineering, and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team-first mindset. You'll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices: New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. Role: Associate Director - Delivery About the Role You will lead delivery for large-scale Data Engineering programs, working closely with clients to architect and drive execution of modern data platforms - data pipelines, cloud migrations, lakehouse implementations, and real-time data processing solutions. You will own end-to-end delivery governance across multiple engagements, act as a senior escalation point for clients, and provide technical and delivery leadership to teams building enterprise-grade data engineering solutions. If you enjoy operating at the intersection of technical depth in Data Engineering and delivery leadership, we would like to talk to you. Required Skills & Competencies 15-18 years of experience in Project Delivery, Client Engagement, or Data Engineering Delivery Management, with a significant portion focused on Data Engineering programs. Strong hands-on exposure to Data Engineering tools and technologies, including cloud data platforms Proven experience in Analytics/Consulting/IT Services, managing complex Data Engineering project execution, architecture reviews, and governance. Exposure to US/Global clients, with experience handling client escalations. Ability to manage multiple Data Engineering project teams and pods, mentor Delivery/Engineering Managers and technical leads, and drive engineering process improveme

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. Enterprises are modernising data platforms and processes at a growing rate to meet the demands of their customers. A majority of this journey requires not just technical expertise but also the ability to drive predictability, and manage complexity. Snowflake’s Professional Services Organisation offers our customers a market-leading set of technical capabilities as well as best practices for modernisation based on experienced leadership. Our portfolio of modernisation solutions spans data migrations, validation, application development, data sharing, lakehouse implementations, data science, and AI. As a Solutions Architect in our team, you will be responsible for delivering exceptional outcomes for our teams and customers during our modernisation projects, with a focus on modern data architectures including lakehouses and streaming data. You will engage with customers to migrate from legacy data platforms, including those based on Cloudera, and build modern data pipelines and lakehouse solutions on Snowflake where customers can then leverage downstream AI and Machine Learning solutions. You will act as the technical lead and expert for our customers throughout this process, guiding customers through decision paths to achieve impactful outcomes and thoughtfully use AI to augm

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 This role bridges infrastructure and product engineering: you'll build genuine partnerships across product, AI, and enterprise teams so that ownership is shared and velocity is never blocked by platform constraints. As Director, you'll set a forward-looking cloud vision, proactively align with stakeholders across the business, and ensure the platform scales for multi-shard, multi-region growth while meeting security and compliance commitments (SOC 2, business continuity/disaster recovery, and enterprise security frameworks). The Role: Cost Efficiency: Drive significant annual infrastructure savings by migrating data workloads to EKS and self-hosting key services such as OpenSearch. Ingress Convergence: Deprecate legacy frontend ALBs and consolidate to a single EKS-managed ALB per shard, unblocking faster deployments across the org. Coverage & Bench Depth: Eliminate single points of ownership across Networking, OpenSearch, and Terraform through cross-training and targeted hiring into coverage gaps. Stakeholder Alignment: Stand up a recurring alignment cadence with Product, AI, Enterprise, and Security so infra planning is driven by demand, not ad-hoc interrupts. Automation: Ship automated shard buildout via Backstage to remove manual toil from enterprise scaling. Reliability: Cut P0/P1 incidents attributed to Cloud Platform (DNS, ALB misconfiguration) through hardened ingress patterns and Terraform-policy guardrails, including blocking unauthenticated public endpoints. Roadmap Ownership: Deliver a roadmap covering Agent enablement, centralized IaC, and deployment rollout acceleration, tied to AI and

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. Enterprises are modernising data platforms and processes at a growing rate to meet the demands of their customers. A majority of this journey requires not just technical expertise but also the ability to drive predictability, and manage complexity. Snowflake’s Professional Services Organisation offers our customers a market-leading set of technical capabilities as well as best practices for modernisation based on experienced leadership. Our portfolio of modernisation solutions spans data migrations, validation, application development, data sharing, lakehouse implementations, data science, and AI. As a Solutions Architect in our team, you will be responsible for delivering exceptional outcomes for our teams and customers during our modernisation projects, with a focus on modern data architectures including lakehouses and streaming data. You will engage with customers to migrate from legacy data platforms, including those based on Cloudera, and build modern data pipelines and lakehouse solutions on Snowflake where customers can then leverage downstream AI and Machine Learning solutions. You will act as the technical lead and expert for our customers throughout this process, guiding customers through decision paths to achieve impactful outcomes and thoughtfully use AI to augm

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Sr. Software Engineer – Duties are designing & developing service-oriented & resource-oriented software architecture using Python in Flask framework for e-commerce systems for scalable web-centric AWS & GCP application platforms & frameworks using SOAP & REST protocols & server-side GitHub REST API including performing requirements analysis; reviewing designs for new functionality; formulating detailed functional & product specifications; collaborating with cross-functional finance & product team leads; performing requirements functional decomposition, unit & integration testing; supporting technology upgrades through cloud migrations; performing SQL & NoSQL database tuning & maintenance; and providing technical documentation & system implementation support. Position requires Bachelor’s degree in Computer Science, Computer Engineering, Information Systems or a related field & 5 yrs exp in job duties as stated. Position is with Dun & Bradstreet located in Jacksonville, FL. Inquire and send resume through Dun & Bradstreet’s job board at https://jobs.lever.co/dnb. Position is under Senior Software Engineer for Jacksonville, FL. #LI-DNI

Technical Product Manager (Data Platform) Location : Athens Weekly office requirement : Hybrid, 1 days/week Employment type : Permanent At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for a Technical Product Manager to play a key role in our Data Product team in London . If that’s you, and solving complex technical problems at scale gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. Sounds great, what will I be doing? 🤔 As our Technical Product Manager , you’ll sit within the Process pillar of the Data Product Team and own the evolution of our next-generation data platform. You’ll help shape the strategy and lead on the execution of how we ingest, process, validate, govern, and deliver high-quality consumer survey data at scale. This includes accelerating our migration from legacy pipelines into our modern data stack (BigQuery, dbt, Airflow/Astronomer), while ensuring near-zero disruption to client delivery. This role is critical to GWI’s future. Our Data Platform underpins everything we deliver to customers — from SaaS insights to APIs and AI integrations. Your work will directly impact how quickly new surveys reach clients, how reliably our data performs at scale, and how efficiently our internal teams operate. Specifically, you will: 👉 Shape and execute the roadmap for scalable, automated survey processing on our Data Platform 👉 Reduce time from survey completion to client availability through workflow automation, validation frameworks, and release optimisation 👉 Lead migration from legacy pipelines to NDP, sequencing change to deliver early impact while maintaining delivery stability 👉 Partner deeply with Data Engineering, Software Engineering, ML Engineering, Research, and Data Operations teams to translate complex pipeline needs into robust platform capabilities 👉 Champion observability, data quality, lineage, and governance-

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! About the Role We are seeking a seasoned Manager, Software Engineering with 12+ years of experience to lead our Database Engineering and Cloud Infrastructure team. In this role, you will lead a team of high-performing engineers responsible for architecting, scaling, and optimizing multi-cloud relational and in-memory database platforms. You will bridge technical execution, engineering leadership, and strategic infrastructure planning across AWS and Azure environments. Key Responsibilities Technical Leadership & Architecture Lead the architectural design and operations of enterprise-grade, multi-cloud relational databases across AWS (RDS PostgreSQL, MySQL, Aurora) and Azure (Database for PostgreSQL/MySQL, Azure SQL Managed Instance). Drive high-availability architecture strategies, including Multi-AZ deployments, auto-failover groups, read replica scaling, and cross-region disaster recovery (DR). Oversee zero-downtime operations, including major-version engine upgrades, schema migrations, and blue/green deployment strategies. In-Memory Infrastructure & Open-Source Strategy Manage scale operations for in-memory datastores (AWS ElastiCache, Azure Cache for Redis), focusing on cluster mode operations, eviction policies, and persistence tuning. Spearhead open-source caching initiatives and migration pathways from Redis to Valkey (e.g., AWS ElastiCache for Valkey) using zero-downtime tools like RedisShake to ensure open-source license compliance and optimize cloud spend. Aut

About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. About the role: We are looking for a Senior Manager of Solutions Architecture to join and lead our our APAC SA team. In this role, you will be responsible for leading a team of Solutions Architects who support our sales teams across pre and post sales. You will drive technical excellence, mentor the team, and partner closely with sales leadership to win new business and expand existing accounts. This position will be based in Sydney, Australia. What you will do: Lead, develop, and manage an APAC SA team, including training and career development. Ensure technical excellence across the pre and post sales cycle. Provide hands-on support for key accounts as needed (presentations, architecture reviews, migration plans). Oversee and coach SA engagement on strategic accounts and critical deals. Partner with our engineering org to provide product feedback from the field. Develop repeatable plays from trends your are seeing across your team. Track and report SA performance to Sales and Field Engineering leadership quarterly. Own org planning, staffing, budgeting, and regional recruiting. About you: 8+ years of experience in Solutions Architecture/Engineering, Sales Engineering, or Technic

The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. We're defining a new category of technology as the human agent operating system by inventing new ways for teams to work together more efficiently. Our team works directly with Engineering, Design, Experience Research, and Data Science, as well as with Sales, Support, and Marketing to ship great products. You’ll take part in every type of product work here, from strategy to product to process improvements, by conceptualizing, launching, and iterating on Asana itself for millions of teams around the world. We are looking for an experienced Product Manager to join our Enterprise Data Governance team. Our team owns the strategic platform capabilities that govern the full lifecycle of customer data, including retention, migration, auditing, export, and operational governance. We are foundational to Asana's enterprise success, providing the controls and policy frameworks that allow large organizations to meet complex regulatory requirements and securely adopt AI. As a Product Manager here, you will bridge the gap between technical infrastructure and enterprise customer needs, partnering closely with Engineering, Security, Legal, and Design to reduce operational burden and build the governance foundation that helps people and AI agents collaborate safely at scale. This is a high-impact role at the intersection of enterprise trust, regulatory compliance, and platform strategy, directly driving Asana’s growth in highly regulated industries. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams wit

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. Auth0 is an easy-to-implement, authentication and authorization platform designed by developers for developers. We make applications’ login boxes safe, secure, and seamless for anyone logging in. About the Role We are seeking a Product Manager to join our Enterprise Federation team. In this role, you will partner closely with engineering teams to shape the future of Auth0's core B2B platform. We need a creative, engineering-minded leader to uncover and solve the complex operational realities our customers face when deploying high-scale, multi-tenant B2B applications on Auth0. As the owner of the "front door" to Auth0 B2B, you will directly shape how our enterprise customers—and their end-users—experience our platform. Core Responsibilities & Ownership You will lead two critical product areas: Enterprise Connections: A suite of pre-built connectors that integrate workforce Identity Providers (IdPs), enabling a seamless onboarding experience for enterprise B2B customers. B2B Connect: An innovative offering that allows Auth0 to be deployed on top of—rather than instead of—a customer's existing IdP. In addition to managing these areas, you will: Drive Modularization: Focus on modularizing Auth0’s B2B offerings so customers can quickly adopt high-value features without needing a full identity migration. Lead the Standards Roadmap: Deepen your understanding of regional and vertical identity standards to build, drive, and propel a highly competitive stan

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. Auth0 is an easy-to-implement, authentication and authorization platform designed by developers for developers. We make applications’ login boxes safe, secure, and seamless for anyone logging in. About the Role We are seeking a Senior Product Manager to join our Enterprise Federation team. In this role, you will partner closely with engineering teams to shape the future of Auth0's core B2B platform. We need a creative, engineering-minded leader to uncover and solve the complex operational realities our customers face when deploying high-scale, multi-tenant B2B applications on Auth0. As the owner of the "front door" to Auth0 B2B, you will directly shape how our enterprise customers—and their end-users—experience our platform. Core Responsibilities & Ownership You will lead two critical product areas: Enterprise Connections: A suite of pre-built connectors that integrate workforce Identity Providers (IdPs), enabling a seamless onboarding experience for enterprise B2B customers. B2B Connect: An innovative offering that allows Auth0 to be deployed on top of—rather than instead of—a customer's existing IdP. In addition to managing these areas, you will: Drive Modularization: Focus on modularizing Auth0’s B2B offerings so customers can quickly adopt high-value features without needing a full identity migration. Lead the Standards Roadmap: Deepen your understanding of regional and vertical identity standards to build, drive, and propel a highly competiti

About the Team Training Runtime builds the distributed systems that power OpenAI's largest model training runs - most recently GPT-5.5! The Data Movement area owns the infrastructure that keeps training jobs supplied with the right data at the right time, and keeps model state moving safely and efficiently across large clusters. Our work spans machine learning systems, distributed storage, high-throughput data loading, reliability engineering, and developer experience. Success means researchers can move quickly while training runs remain fast, reproducible, debuggable, and resilient at scale. About the Role We are looking for a deeply hands-on Technical Lead Manager to own datasets throughout our training infrastructure. This person will set the direction for how training jobs read data: the APIs, storage contracts, versioning model, benchmarks, debugging tools, and reliability guarantees that make data access consistent across current and future training frameworks. You will begin as the primary technical owner for dataset reads, working directly in the code while aligning researchers, training framework owners, storage teams, and infrastructure partners around a durable platform. The problem is deceptively hard at frontier scale: make enormous, heterogeneous datasets easy to consume, correct across distributed workers, observable when something goes wrong, and flexible enough to support pretraining, reinforcement learning, and multimodal training. In this role, you will Design and build a unified dataset read platform for multiple current and future training frameworks. Define dataset APIs, storage-format expectations, registration/versioning, and migration paths that make data access reproducible and maintainable. Build reliability into the read path, including stateful iteration, caching, fast restart, recovery, and clear operational contracts. Build terminal and web-based visualizers that let teams inspect text, multimodal, and reinforcement learning data late

MongoDB is seeking a Director, Web Platform & Technology to define the technology strategy, architecture, and delivery model for mongodb.com, our primary digital experience. This leader will drive the evolution of the platform as we migrate to Adobe Experience Manager (AEM), modernize our software development lifecycle, improve performance and scalability, and establish the technical foundation for personalization, experimentation, AI-enabled workflows, and product-led growth. Leading a cross-functional team of Product Managers, Web Engineers, and specialized contractors (Business Analysis, QA, Scrum Master), this role will champion AI adoption across the web development lifecycle while delivering a best-in-class developer experience and partnering closely with design, marketing, and product teams to maximize business impact. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Main Responsibilities Platform Strategy & Ownership: Define the long-term vision, architecture, roadmap, and operating model for MongoDB's web platform, aligning technology investments with marketing, growth, and business objectives AEM & Digital Experience: Lead the migration to and evolution of Adobe Experience Manager while integrating Adobe Experience Cloud capabilities to support personalization, content operations, search visibility, and scalable content delivery Engineering Excellence: Establish modern engineering practices spanning Agile delivery, CI/CD, release management, quality assurance, automation, documentation, accessibility, security, and technical governance to accelerate delivery and reduce technical debt Team Leadership: Lead globally distributed engineering teams and contractor partners, building high-performing delivery models and fostering technical excellence and accountability AI & Innovation: Identify, pilot, and operationalize AI capabilities—including generative AI, conversational experiences, workflow