Design Engineers in Bengaluru

Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. Forward is currently seeking a Java Backend Software Engineer to work as part of our Apps - Server team. The work will involve developing our web server, REST APIs, and product core by writing clean and solid code that interacts with our other services and components. Responsibilities include: Developing new product features that leverage the network model to help users: visualize their network, understand how it behaves, see how it has evolved, answer specific questions, and plan changes Designing the data model for new product features Proposing and implementing REST APIs to support the Forward web application and to publish to customers Constructively reviewing product designs, technical design documents, and code changes Requirements: At least 5+ years of full lifecycle software development experience Expertise in Java (versi

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

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

Role Overview Build the software services that power products, platforms, and better business decisions. As a Software Engineer II, you’ll develop scalable backend applications, APIs, integrations, and AI-enabled features using Python and cloud technologies. You’ll contribute to solutions from design through production, helping improve reliability, performance, security, and developer productivity. This is an opportunity to solve meaningful engineering challenges, grow your technical ownership, and collaborate with experienced engineers across the development lifecycle. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features and use AI development tools responsibly to improve coding, testing, research, documentation, and delivery. Apply sound engineering practices across architecture, performance, security, testing, debugging, and maintainability. Deploy and operate services using AWS and CI/CD workflows, contributing to monitoring, troubleshooting, documentation, and continuous improvement. Partner with engineers and cross-functional colleagues through design discussions, code reviews, technical problem-solving, and knowledge sharing. These are the essentials you’ll need to get an interview 3–5 years of professional experience building and delivering production software in an agile environment. Strong hands-on experience with Python and backend development, including APIs, integrations, or service-oriented applications. Experience working with cloud platforms, preferably AWS, and familiarity with deployment or CI/CD practices. Working knowledge of software design principles, testing, debugging, performance optimization, an

Data Engineer Description - Key Roles Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data. Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture. Collaborates within a project team of other data engineers to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component. Analyzes data inaccuracies, identifies opportunities and supports the development of automated solutions to enhance overall quality of the enterprise data. Identifies problematic areas and conducts research to determine the best course of action to correct the data; identifies, analyzes and interprets trends and patterns in complex datasets. Works cross-functionally with different departments to assess, define, and develop report deliverables. Represents the software data engineering team for all phases of larger and more-complex development projects. Provides guidance and mentoring to less experienced staff members. Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related di

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Job Description/ Responsibilities: Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines Minimum experience of 4-6 Years required in AI ML Ops Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production. Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow. Security & Compliance: Implementing data security measures, ensuring compliance with data governance

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 The Platform Engineering team creates the foundation that enables the industry’s most innovative, high-performance, and highly available portfolio of Pure Storage products that are designed for the most demanding mission critical applications. We design, build and deliver hardware products, but over 90% of our engineering staff are software engineers. Our customers are the most important part of our business and they love our products for the simplicity of management, the constant flow of new and exciting upgrades, and ability to live on the cutting edge of technology while never taking downtime, ever. Pure's product portfolio enables our customers to leverage the agility of the public cloud for both traditional IT and cloud-native applications. WHAT YOU'LL DO Deliver manufacturing diagnostics and tools for Everpure Direct Flash Module product line Collaborate with hardware, firmware, software and manufacturing test teams, and deliver support for our ambitious roadmap items. Collaborate with product managers and engineering teams in getting requirements. Responsible for the overall development life cycle of the solution and managing projects. Instill best practices of software development and documentation, assure designs meet requirements and deliver high quality work on tight schedules. Clearly and regularly communicate status on how projects are progressing. Managing day-to-day software engineering devel

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

Position Overview We are looking for a Software Engineer II to build and deliver scalable software solutions across our products. You will work on modern web applications and cloud-based services using Node.js, React, TypeScript, AWS, PostgreSQL, MSSQL, and Docker, while contributing to AI-enabled features and integrations. You will collaborate closely with other engineers, product managers, and cross-functional teams to develop reliable, maintainable, and production-ready solutions. This role provides an opportunity to work with modern AI technologies including Python, AWS Bedrock, MCP, RAG, and agentic AI workflows while developing strong expertise in cloud-native software engineering. What You'll Do Develop and maintain scalable backend services and APIs using Node.js, TypeScript, and JavaScript. Build responsive and maintainable frontend applications using React. Design and implement integrations with AWS services and contribute to cloud-native application development. Develop and maintain applications using PostgreSQL and MSSQL, including writing efficient queries and working with database schemas. Build, test, and deploy applications using Docker and modern CI/CD practices. Contribute to AI-enabled product features using Python, AWS Bedrock, RAG, MCP, and AI integration patterns. Work with the team to integrate LLM capabilities, APIs, tools, and data sources into production applications. Write clean, maintainable, and well-tested code following established engineering practices. Participate in code reviews, technical discussions, debugging, and production issue resolution. Develop unit and integration tests and contribute to improving application quality and reliability. Monitor application performance and troubleshoot issues across development and production environments. Collaborate with senior engineers and architects to implement technical solutions aligned with product and engineering requirements. Stay current with emerging technologies, particularly in

InnoPhase Inc., DBA GreenWave Radios™, is at the forefront of innovation in Open RAN digital radios. Our cutting-edge solutions, powered by the Hermes64 RF SoC, are designed to enhance network energy efficiency while dramatically reducing operational expenses, with purpose-built silicon that is the heart of ORAN-based active antenna arrays. Headquartered in San Diego, California, GreenWave Radios™ has established itself as a pioneer in delivering power-efficient digital-to-RF solutions. The company is supported by a talented team of over 100 engineers spread across four global R&D facilities. With an extensive portfolio of more than 120 global patents, GreenWave Radios™ continues to push the boundaries of radio technology and innovation. To learn more about GreenWave Radios™ and hear what our employees have to say, visit the GreenWave™ certification profile at GreatPlacetoWork.com or explore our Home - GreenWave Radios website. InnoPhase Inc., DBA GreenWave™ Radios and Synergic Emergence have a co-employment relationship. For over three years, GreenWave Radios has partnered with Synergic Emergence, a professional employment organization provider, to offer our employees the best benefits and services. This arrangement means that Synergic Emergence provides employee pay checks and benefits, and GreenWave Radios will provide employment, evaluation, and advancement. By outsourcing some HR functions, GreenWave Radios can focus on what we do best – developing and implementing highly innovative SOC cellular radio integrated circuit products. Job Description InnoPhase Inc., DBA GreenWave™ Radios Bangalore is looking for a Lead Engineer – SQA Automation to join our fast-paced and motivated team to drive excellence in our 5G products. This role is an excellent opportunity for someone that enjoys driving the critical path and making a significant impact in launching products into the market and winning! Key Responsibilities • Design,

SmartBear delivers application integrity for modern tech stacks, ensuring continuous, measurable assurance that software just works as intended with governance to operate at AI speed and scale. SmartBear offers deep test automation, API lifecycle management, and observability capabilities. With integrations across the SDLC, it sets a new quality standard for application delivery teams. SmartBear is trusted by developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft. SmartBear’s open source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars from the developer community. With its best-loved brands, including Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, SmartBear meets customers where they are to make our technology-driven world a better place. Learn more at www.smartbear.com , or follow us on LinkedIn , X , and Reddit . At SmartBear, you will be part of a dynamic team solving one of the most critical challenges facing modern businesses: ensuring the integrity of software in an AI-driven world. Whether you are working directly with customers, driving go to market strategies, supporting operations, building products, or enabling teams, your contributions help shape the future of software quality for organizations worldwide. Join us in our mission. Senior Software Engineer – Java Solve challenging business problems and build highly scalable applications. Design, document and implement solutions in Java 8 and 17. Build and deploy services based on the AWS platform. Work with a high-performance team, working with continuous delivery and heavy test automation Product intro Zephyr provides test management capabilities to Atlassian products, working as a plugin/extension for Jira and Confluence, for managing both manual and automated testing processes. Using AI, users can transform thei

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 From redesigning our customers’ experience with our Modern Data platforms and services, to evolving our own internal tools and ways of working, we are taking deliberate steps to invest and innovate in critical areas to delight our customers and outdistance our competitors. Everpure is looking for Software Engineers who can help drive this digital transformation and set Pure up for continued growth. WHAT YOU'LL DO Designing and implementing creative new algorithms and technologies for high-performance, highly scalable, and highly reliable systems (think six 9’s); Owning and delivering innovation end-to-end, from concept to shipped product; Analyzing and solving challenging problems through persistence and insight; Working as a team with smart peers who inspire you and who are inspired by you; Making customers really happy, because that’s why we do what we do; Learning a ton, whether you know a lot, or nothing about system software. We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave. WHAT YOU BRING 8+ years strong expertise in using C++, Java, Go or related programming languages Proven design sensibility and the willingness to work in a collaborative, team oriented environment; Experience in any number of related systems software projects e.

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 FlashArray team to build high-performance, resilient storage software that powers mission-critical applications worldwide. As a core member of an agile engineering group, you will design and deliver zero-downtime algorithms that directly shape our enterprise storage and public cloud offerings. In this role, you will partner closely with global systems engineers and product teams to translate complex technical challenges into scalable, real-world solutions. Your work will directly impact how thousands of global enterprises manage, protect, and scale their data seamlessly. WHAT YOU’LL DO Design & Deliver Resilient Systems: Architect and implement high-performance algorithms for enterprise storage products, ensuring platform reliability, end-to-end delivery from concept to release, and six-nines availability. Expand Cloud Architecture: Extend core platform capabilities into public cloud environments (such as AWS), driving performance and agility for both traditional IT and cloud-native applications. Drive Problem Solving & Quality: Analyze and resolve complex systems software challenges, optimizing storage internals and contributing to continuous continuous platform upgrades. Collaborate & Mentor: Partner with multidisciplinary engineering peers to review code, refine architecture, and maintain high engineering standards across distributed software projects. WHAT YOU BRING Systems Programming Exp

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