Lead Enterprise Architect in Bengaluru

Role Overview You’ll be the Principal Software Engineer driving the next generation of a large-scale enterprise SaaS platform. In this role, you combine deep hands-on engineering with high-impact technical leadership, shaping how cloud-native and AI-enabled products are designed and built. You’ll design and deliver secure, scalable, serverless systems on AWS using TypeScript and Node.js, modernize critical platform components, and set the technical direction for multiple teams. You’ll also lead how AI capabilities are integrated across the product ecosystem, ensuring they are transparent, observable, and compliant. If you enjoy system-level thinking, complex distributed architectures, and mentoring senior engineers while still staying close to the code, this role gives you company-wide impact and the opportunity to define the long-term technical vision. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the architecture and delivery of secure, scalable, serverless applications on AWS using TypeScript/Node.js. Define and evolve the platform architecture, driving modernization, performance, resilience, and maintainability. Design and operate distributed, event-driven systems using services like Lambda, DynamoDB, Aurora, S3, and EventBridge. Shape and implement AI-enabled solutions, embedding governance, observability, and responsible AI practices into the platform. Own Infrastructure as Code (e.g., Terraform, AWS CDK, CloudFormation) to reliably provision and manage cloud infrastructure. Mentor senior engineers, influence technical decisions across teams, and clearly communicate complex concepts to diverse stakeholders. These are the essentials you’ll need to get an interview Extensive experience (typically 12+ years) building secure, production-grade software systems. Proven track record architecting and delivering cloud-native, serverless applications on AWS. Strong expertise in Node.js, TypeScript, REST API design, and at leas

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. We are hiring a Staff Software Engineer for our Frontier Security AI team. Snowflake's Frontier Security AI teams develop production-grade LLM applications, intelligent agents, AI infrastructure, and evaluation systems for enterprise customers — products that must meet a high bar for quality, security, reliability, and efficiency while operating over sensitive data at large scale. In this role, you will lead the design and development of our Agentic Harness and agent evaluation platform, working across product, infrastructure, applied AI, security, and modeling teams to take new capabilities from prototype to dependable customer value. AS A STAFF SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Architect and build the Agentic Harness that executes complex, multi-step AI workflows across models, tools, data, and services. Design stable interfaces for tool execution, context construction, state management, memory, permissions, retries, fallbacks, and human review. Own agent quality end to end by building evaluation harnesses, representative datasets, automated graders, experiment pipelines, and release gates. Convert ambiguous reports such as "the agent feels worse" into measurable failure modes, reproducible tests, and durable fixes. Analyze production agent trajectories to identif

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

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. THE ROLE Join the Exa team and lead the charge in redefining enterprise storage by unifying block, file, and object protocols across hybrid-cloud environments. You will combine deep technical expertise in distributed systems with hands-on people leadership to guide architectural decisions and mentor high-impact engineers. This is a unique opportunity to build new engineering teams from the ground up and drive industry-leading innovation alongside Product and Architecture partners. Your work will directly impact how customers consume, scale, and operate mission-critical storage infrastructure. WHAT YOU'LL DO Establish and scale a new engineering organization focused on critical Exa platform services, ensuring a foundation of long-term success, technical excellence, and a high-performing culture. Own the successful delivery of complex, high-scale engineering features for the Exa platform, ensuring world-class security, reliability, and availability across multi-array and hybrid-cloud deployments. Define the technical vision and execution roadmap in close partnership with Product Management and Architecture, translating customer needs into a measurable business impact for Pure Storage. Drive a culture of operational rigor, owning the refinement of engineering processes around observability, CI/CD, and incident response, while actively mentoring the next generation of technical leads. WHAT YOU BRING Leadership and Scaling: Pro

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. THE ROLE Join the Exa team and lead the charge in redefining enterprise storage by unifying block, file, and object protocols across hybrid-cloud environments. You will combine deep technical expertise in distributed systems with hands-on people leadership to guide architectural decisions and mentor high-impact engineers. This is a unique opportunity to build new engineering teams from the ground up and drive industry-leading innovation alongside Product and Architecture partners. Your work will directly impact how customers consume, scale, and operate mission-critical storage infrastructure. WHAT YOU'LL DO Drive End-to-End System Architecture: Lead the architectural evolution and end-to-end delivery of high-performance, resilient storage systems from initial design concepts to high-quality shipped products. Optimize for Modern Data Workloads: Design and implement robust algorithms and concurrent platform solutions engineered for modern data pipelines, AI infrastructure, distributed computing, and enterprise analytics. Resolve Complex System Engineering Challenges: Apply deep root-cause analysis and system-level insight to solve multi-threaded, high-concurrency performance and reliability issues across Linux platform internals. Cross-Functional Ownership & Leadership: Collaborate across product management, validation, and support teams to align technical roadmaps, establish architectural standards, and drive ent

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. THE ROLE Join the Exa team and lead the charge in redefining enterprise storage by unifying block, file, and object protocols across hybrid-cloud environments. You will combine deep technical expertise in distributed systems with hands-on people leadership to guide architectural decisions and mentor high-impact engineers. This is a unique opportunity to build new engineering teams from the ground up and drive industry-leading innovation alongside Product and Architecture partners. Your work will directly impact how customers consume, scale, and operate mission-critical storage infrastructure. WHAT YOU'LL DO Drive End-to-End System Architecture: Lead the architectural evolution and end-to-end delivery of high-performance, resilient storage systems from initial design concepts to high-quality shipped products. Optimize for Modern Data Workloads: Design and implement robust algorithms and concurrent platform solutions engineered for modern data pipelines, AI infrastructure, distributed computing, and enterprise analytics. Resolve Complex System Engineering Challenges: Apply deep root-cause analysis and system-level insight to solve multi-threaded, high-concurrency performance and reliability issues across Linux platform internals. Cross-Functional Ownership & Leadership: Collaborate across product management, validation, and support teams to align technical roadmaps, establish architectural standards, and drive enterprise

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. THE ROLE As the Manager of GTM Systems (Quote to Revenue), you will lead our core engineering team in Bangalore to architect and scale Everpure’s enterprise billing and revenue engine. You will serve as the critical technical bridge between US business stakeholders and our local engineering squad, embedding cutting-edge AI tools directly into the development lifecycle to drive unprecedented speed and automation. This hands-on leadership role puts you at the center of Everpure’s growth, directly impacting our lead-to-cash velocity and financial compliance across global markets. WHAT YOU'LL DO Lead and Scale AI-Accelerated Engineering: Direct a team of 5–8 cross-functional developers and QA engineers, integrating modern AI tools (such as Claude, Boomi AI, and Salesforce Agentforce) into daily workflows to drastically reduce code generation time, streamline unit testing, and elevate team performance. Architect End-to-End Quote-to-Revenue Solutions: Own the technical execution across Salesforce CPQ, Boomi middleware, and Zuora billing to optimize complex product catalogs, pricing waterfalls, automated quote generation, and subscription accounting. Bridge Global Stakeholder Alignment: Partner closely with US-based Product, Finance, and RevOps leaders to translate complex revenue operations and financial compliance goals into clear, scalable system designs and technical user stories. Ensure Platform Governan

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. THE ROLE Join the Exa team and lead the charge in redefining enterprise storage by unifying block, file, and object protocols across hybrid-cloud environments. You will combine deep technical expertise in distributed systems with hands-on people leadership to guide architectural decisions and mentor high-impact engineers. This is a unique opportunity to build new engineering teams from the ground up and drive industry-leading innovation alongside Product and Architecture partners. Your work will directly impact how customers consume, scale, and operate mission-critical storage infrastructure. WHAT YOU'LL DO Drive End-to-End System Architecture: Lead the architectural evolution and end-to-end delivery of high-performance, resilient storage systems from initial design concepts to high-quality shipped products. Optimize for Modern Data Workloads: Design and implement robust algorithms and concurrent platform solutions engineered for modern data pipelines, AI infrastructure, distributed computing, and enterprise analytics. Resolve Complex System Engineering Challenges: Apply deep root-cause analysis and system-level insight to solve multi-threaded, high-concurrency performance and reliability issues across Linux platform internals. Cross-Functional Ownership & Leadership: Collaborate across product management, validation, and support teams to align technical roadmaps, establish architectural standards, and drive ent

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. THE ROLE Join the Exa team and lead the charge in redefining enterprise storage by unifying block, file, and object protocols across hybrid-cloud environments. You will combine deep technical expertise in distributed systems with hands-on people leadership to guide architectural decisions and mentor high-impact engineers. This is a unique opportunity to build new engineering teams from the ground up and drive industry-leading innovation alongside Product and Architecture partners. Your work will directly impact how customers consume, scale, and operate mission-critical storage infrastructure. WHAT YOU'LL DO Drive End-to-End System Architecture: Lead the architectural evolution and end-to-end delivery of high-performance, resilient storage systems from initial design concepts to high-quality shipped products. Optimize for Modern Data Workloads: Design and implement robust algorithms and concurrent platform solutions engineered for modern data pipelines, AI infrastructure, distributed computing, and enterprise analytics. Resolve Complex System Engineering Challenges: Apply deep root-cause analysis and system-level insight to solve multi-threaded, high-concurrency performance and reliability issues across Linux platform internals. Cross-Functional Ownership & Leadership: Collaborate across product management, validation, and support teams to align technical roadmaps, establish architectural standards, and drive ent

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. THE ROLE Join the Exa team and lead the charge in redefining enterprise storage by unifying block, file, and object protocols across hybrid-cloud environments. You will combine deep technical expertise in distributed systems with hands-on people leadership to guide architectural decisions and mentor high-impact engineers. This is a unique opportunity to build new engineering teams from the ground up and drive industry-leading innovation alongside Product and Architecture partners. Your work will directly impact how customers consume, scale, and operate mission-critical storage infrastructure. WHAT YOU'LL DO Drive End-to-End System Architecture: Lead the architectural evolution and end-to-end delivery of high-performance, resilient storage systems from initial design concepts to high-quality shipped products. Optimize for Modern Data Workloads: Design and implement robust algorithms and concurrent platform solutions engineered for modern data pipelines, AI infrastructure, distributed computing, and enterprise analytics. Resolve Complex System Engineering Challenges: Apply deep root-cause analysis and system-level insight to solve multi-threaded, high-concurrency performance and reliability issues across Linux platform internals. Cross-Functional Ownership & Leadership: Collaborate across product management, validation, and support teams to align technical roadmaps, establish architectural standards, and drive enterprise

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. THE ROLE Join the Exa team and lead the charge in redefining enterprise storage by unifying block, file, and object protocols across hybrid-cloud environments. You will combine deep technical expertise in distributed systems with hands-on people leadership to guide architectural decisions and mentor high-impact engineers. This is a unique opportunity to build new engineering teams from the ground up and drive industry-leading innovation alongside Product and Architecture partners. Your work will directly impact how customers consume, scale, and operate mission-critical storage infrastructure. WHAT YOU'LL DO Drive End-to-End System Architecture: Lead the architectural evolution and end-to-end delivery of high-performance, resilient storage systems from initial design concepts to high-quality shipped products. Optimize for Modern Data Workloads: Design and implement robust algorithms and concurrent platform solutions engineered for modern data pipelines, AI infrastructure, distributed computing, and enterprise analytics. Resolve Complex System Engineering Challenges: Apply deep root-cause analysis and system-level insight to solve multi-threaded, high-concurrency performance and reliability issues across Linux platform internals. Cross-Functional Ownership & Leadership: Collaborate across product management, validation, and support teams to align technical roadmaps, establish architectural standards, and drive ent

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

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! AI Platform Engineering Location: Bangalore (Hybrid - in office at least 3 days/week) About the Role We are seeking an experienced and visionary technology leader to lead the development and scaling of our Operational AI platform capabilities. This role will own the strategy, architecture, delivery, and operational excellence of Couchbase AI Cloud Platform capabilities. This is a strategic leadership role at the intersection of distributed systems, cloud-native platforms, and AI. You will lead a large, multi-layered engineering organization responsible for delivering The Operational Data Platform for AI, while partnering closely with Product, Design, SRE, and Go-To-Market teams. Your leadership will directly influence company growth, customer adoption, platform reliability, and Couchbase’s competitive pos

We have Pega Product Engineer requirements for the below modules: Pega – Payments Smart Investigate PEGA – KYC/CLM Pega - ACDD Pega – Payments Smart Investigate Education · Degree, Post graduate in Computer Science or related field (or equivalent industry experience) Experience · 8-12 years of experience in Pega and Pega Certified Product Engineer · Pega Lead Product Engineer playing upto Architect/ CSSA or LSA Certification is highly desirable · Understanding of large and complex code bases, including design techniques · Experience in defining Business Processes using Pega platform for payment investigations · System design and implementation, Experience in Integration Services of PRPC – Rule-Connects/Services, developing activities, PRPC User Interface development and implementation of Declarative Processing features Technical Skills · Experience in Pega Smart Investigate 8.X Experience is mandatory · The candidates will act as a Smart Investigate SME for the bank from Pega Platform perspective · Good understanding and experience in Client Server applications, Digital applications and Business Functions · Should have knowledge on API and JSON to support REST Integration · Should have good understanding of KAFKA Topics and Data flows Functional Skills · Experience in Banking, Financial and Fintech experience in an enterprise environment preferred · Experience in following best Coding, Security, Unit testing and Documentation standards and practices · Experience in Agile methodol

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. As an Application Engineer for AI Automation , you will be at the clinical edge of our intelligence layer. This isn't just about writing code; it's about architecting the nervous system of our automated enterprise. You will bridge the gap between heavy-duty enterprise platforms (Salesforce, Zuora, ServiceNow) and the next generation of Agentic AI. Your primary mission will be building high-performance Model Context Protocol (MCP) servers that allow AI agents to interact deeply with complex business logic—specifically within the Salesforce ecosystem (Quote, Opportunity, and Renewal services). You’ll move from building RAG-based retrieval to orchestrating Agent-to-Agent communication , creating a seamless autonomous workflow across our tech stack. Key Responsibilities Architect MCP Servers: Design and implement robust MCP servers to expose Salesforce services (Quote, Opportunity, Renewal) and other core platforms to AI agents. Data Model Synthesis: Rapidly decompose the data models of enterprise applications like Zuora, Salesforce, and ServiceNow to build effective schemas for AI interaction. Build AI Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) workflows and AI agents that can execute complex tasks with minimal human intervention. Agentic Orchestration: Lead the transition from simple chatbots to Agentic AI , focusing on multi-agent collaboration and autonomous "Agent-to-Agent" communication. Integra