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Solutions Architecture Director in Bengaluru

355 active opportunities · Updated October 2026

Explore current solutions architecture director jobs in Bengaluru. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 Bengaluru, KARNATAKA, India· Full-time
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Role: DataOps Solution Architect — Azure Data Platform (Fabric & Databricks) Owns end-to-end architecture of the Azure data platform (Fabric, Databricks, Azure services) and sets the governance, security, and DataOps standards engineering teams implement. Design authority and primary architecture advisor to the client, not the day-to-day builder. Experience Required 8-10+ years overall in data engineering / cloud architecture, including 3+ years as a Solution Architect or in a comparable design-authority role. Microsoft Fabric: 2+ years hands-on. Azure Databricks: 4+ years hands-on. Proven track record designing and delivering enterprise-scale Azure data platforms end-to-end. Azure is mandatory ; experience across multiple client engagements or a consulting/SI background is a plus. Core Technical Expertise Azure Platform Fabric & Databricks architecture. ADF. ADLS. Entra ID. Key Vault. Monitor/Log Analytics. Microsoft Fabric Workspace & environment strategy. Lakehouse/Warehouse. OneLake. Pipelines/Notebooks. REST APIs/CLI. Governance. Azure Databricks Workspace strategy. Unity Catalog. RBAC. Jobs/Workflows. Delta Lake. Asset Bundles. ML platform integration. DevOps & IaC Azure DevOps/GitHub CI/CD. Terraform & Bicep. Branching/release strategy. Reusable IaC modules. Security & Networking Entra ID. RBAC architecture. Private Endpoints/DNS. Key Vault integration. DataOps Standards CI/CD & test gates for pipelines. Data-quality frameworks. Observability/alerting architecture. SLAs/SLOs. Incident-management practices. FinOps guardrails. Key Responsibilities Own end-to-end architecture; translate requirements into scalable, secure, cost-effective designs. Design enterprise-scale Fabric/Databricks architecture including workspace, networking, security, and governance. Set standards for CI/CD, IaC, DataOps, and environment management; ensure enterprise security and regulatory compliance. Evaluate technology options; identify architectural risks a

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📍 Bengaluru, India· Full-time
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JOB TITLE Cloud Engineer A Career with point72’s technology team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What You'll Do Design, implement, and maintain scalable cloud infrastructure using Infrastructure as Code (IaC) with Terraform. Manage and optimize foundational platform for AWS/GCP/Azure services including IAM, Virtual Private Cloud networking, Cloud Security controls and policies, Cloud platform tools and automation to ensure scale, performance and security. Collaborate with development and operations teams to automate deployment and operational processes. Monitor cloud environments to maintain high availability and security standards. Participate in architectural discussions and contribute to the technical roadmap for cloud solutions. Implement best practices for cloud resource optimization and cost management. What's Required Bachelor’s degree in Computer Science, Engineering, or a related field. 5 to 10 years of experience in cloud infrastructure design and automation with optional experience in cloud networking. Proficiency in Infrastructur

PythonAWSAzureGCP
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📍 Bengaluru, India· Full-time
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JOB TITLE Cloud Compute Engineer A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU'LL DO Design, build, and operate Kubernetes clusters on Amazon EKS, including cluster lifecycle management, networking, autoscaling, and workload scheduling. Manage and optimize EC2-based compute infrastructure, including instance selection, placement strategies, capacity planning, and utilization analysis. Operate and improve ECS-based services where applicable, ensuring consistency across our container runtime environments. Develop and maintain Infrastructure as Code (IaC) using Terraform to provision and manage compute resources at scale. Collaborate with development and platform teams to define compute patterns, containerization standards, and deployment best practices. Monitor compute environments for availability, performance, and cost, driving continuous optimization across the fleet. Contribute to architectural decisions around workload placement, multi-tenancy, OS image and container li

PythonAWSAzureKubernetes
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📍 Bengaluru, India· Full-time
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JOB TITLE Systems Analyst, Workday HCM/Payroll A Career with point72’s technology TEAM As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Serve as the primary application support partner for Payroll and HR, providing expert support across compensation, benefits, absence, time tracking, and Workday Payroll, Security, and integrations, while ensuring policy and regulatory compliance. Execute ongoing system configuration changes, such as business processes, foundational data, and security model updates, and participate in the bi‑weekly Agile sprint development process for Tier 3 requests and feature enhancements, adhering to SDLC methodology and Workday Change Management protocols. Architect and design end‑to‑end solutions that include Workday configuration, integrations, and downstream system impacts, working closely with integration and platform engineering teams. Collaborate with stakeholders to gather and document business requirements, translate them into tech

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📍 Bengaluru, India· Full-time
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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

PythonJavaAWSAzure
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📍 Bengaluru, India· Full-time
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JOB TITLE Observability Engineer A CAREER WITH POINT72'S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU’LL DO Design observability capabilities that give engineering teams clear insight into application health, platform performance, and issues affecting users Build scalable collection pipelines for metrics, logs, and traces across cloud-based and on-premises environments Develop actionable alerting standards that reduce noise, shorten incident response, and highlight the most important signals Partner with application and infrastructure teams to define service health indicators and improve operational readiness before production launches Automate monitoring configuration, dashboard deployment, and reliability checks to support consistent observability across the technology environment Analyze production incidents to identify telemetry gaps and improve detection, diagnosis, and recovery Create dashboards and reporting views that help teams understand trends, capacity risks, and reliability outcomes Establish practical observability

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📍 Bengaluru, India· Full-time
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Linux Engineer A Career with point72’s Technology team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Support, maintain, and troubleshoot Linux systems in production and development environments Assist with system provisioning, configuration, and lifecycle management Monitor system performance, availability, and capacity; respond to incidents and outages Work closely with developers and quants to support research and trading workloads Automate operational tasks using scripting and configuration management tools Assist with patching, upgrades, and vulnerability remediation Maintain documentation and operational runbooks Participate in on-call rotation (as appropriate for level) What’s REQUIRED Bachelor’s degree in computer science, information technology, engineering, or a related field. 5+ years of professional experience administering Ubuntu Linux systems and ZFS Strong understanding of Linux fundamentals including processes, memory, CPU, filesystems, and networking as well as systemd, cron, logging, and package management (apt) Experie

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📍 Bengaluru, KARNATAKA, India· Full-time
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Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Role Overview As an Engineering Manager for the Credit team, you will lead the core engine driving our credit systems, including the margin notification engine and loan booking system. Your primary focus will be on maximizing data accuracy, system reliability, and architectural integrity. You will lead a high-performing group of senior engineers, stream-lining technical processes, preventing over-engineering, and maintaining a high standard of delivery alongside key stakeholders. Role Split & Focus Areas Technical Leadership & Architecture (40%): Drive long-term system maintenance, architectural refactoring, and code quality. Ensure technical debt is addressed without blocking impactful business features. Process & Stakeholder Management (20–30%): Partner with product and business stakeholders to prioritize deliverables. Make decisive trade-offs and cut unnecessary overhead to maintain lean execution. People Management & Mentorship (20–30%): Manage, mentor, and guide senior technical talent across performance cycles, career growth, and talent acquisition. Key Responsibilities Oversee and maintain the reliability, precision, and efficiency of core credit applications (Margin Notification Engine, Loan Booking Systems). Drive architectural roadmap decision

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📍 Bengaluru, India· Full-time
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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 Drive the evolution of Everpure’s enterprise connectivity by designing and deploying robust integration solutions that power our Go-To-Market (GTM) strategy . Collaborating closely with Digital Transformation Group Architects and cross-functional business partners, you will establish the Integration North Star and build scalable middleware pipelines. In this role, you will eliminate data silos, optimize workflow architectures, and directly accelerate business performance across core commercial platforms . WHAT YOU'LL DO Architect & Implement Integration Enablers: Design and build enterprise-grade Boomi integration components (API, EDI, and FLOW) to connect critical enterprise endpoints including Salesforce, SAP, Workday, NetSuite, and Kafka . Optimize Integration Workflows: Conduct technical analysis and re-engineer legacy middleware processes to simplify data flows, lower system latency, and enhance output quality across all GTM operations. Drive Strategic Alignment: Collaborate with Digital Transformation Group Architects to translate business vision into scalable, event-driven, and real-time integration patterns using web services, databases, ETL, and messaging streams . Deliver High-Availability Solutions: Establish operational standards and monitor process performance metrics to ensure seamless, reliable data exchange across global business operations. WHAT YOU BRING Expertise in Boomi & Middleware Ar

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📍 Bengaluru, India· Full-time
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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 a Senior Technical Architect on our Advanced Services team, you will bridge pre-sales strategy and post-sales delivery to architect enterprise data migration, disaster recovery, and hybrid-cloud storage solutions. In this dual consultative and hands-on role, you will collaborate closely with Sales, Engineering, and enterprise customers to translate complex business needs into resilient, automated IT infrastructure. You will drive revenue growth and project success by serving as the trusted technical authority across high-impact data center transformations. WHAT YOU'LL DO Architect & Scope High-Impact Solutions: Partner with Sales, Product Marketing, and customer leadership to evaluate complex enterprise environments, design high-availability storage architectures (replication, clustering, cloud integration), and scope Professional Services engagements that drive sales conversion and solution adoption. Lead Enterprise Data Migrations & Implementations: Own end-to-end technical execution of complex data center consolidations and block/file migrations using specialized appliances (e.g., Cirrus Data) and native toolsets, ensuring seamless cutovers with zero data loss and minimal operational disruption. Automate & Modernize Storage Operations: Develop custom scripts (Python, PowerShell, Shell) and integration workflows to automate replication, disaster recovery, and cloud-bursting processes within client

PythonAWSAzureLinux
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📍 Bengaluru, India· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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 We are looking for a dynamic and highly skilled Partner Readiness Technical Lead to design the knowledge foundations that power Everpure's global partner ecosystem. This role sits at the intersection of partner enablement, knowledge architecture, instructional design, and AI. Rather than simply creating learning content, you will architect how partner knowledge is captured, structured, connected, and delivered across multiple experiences—including instructor-led training, digital learning, just-in-time guidance, and conversational learning agents. As part of the Global Partner Enablement team, you will work closely with product management, product marketing, subject matter experts, instructional designers and partner field teams to transform complex product and solution knowledge into scalable, reusable, AI-ready learning assets. This position is ideal for someone who thrives on turning complexity into clarity, brings a systems-thinking mindset to learning design, and can balance technical depth with instructional simplicity. Success in this role means building knowledge once and enabling it to be consumed everywhere—by partners, instructors, search, recommendation engines, and conversational AI. Please note that this is a technical lead role requiring deep technical expertise in storage and data management. This is NOT a instructional designer role or an external customer facing role. Thi

AWSGitRestAI
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📍 Bengaluru, India· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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 Pure Solutions team as a Senior MLOps Solutions Engineer to architect and build high-scale, enterprise-grade AI/ML solutions. You will be instrumental in integrating Pure Storage platforms with the evolving open-source MLOps ecosystem (Kubeflow, MLflow, Ray) to operationalize the complete machine learning lifecycle. This role requires a creative technologist with deep Python expertise to drive innovation and enable our customers and partners to achieve production AI success. WHAT YOU'LL DO Design and Automate MLOps Pipelines: Lead the development of end-to-end MLOps workflows using CI/CD tools (Git/Jenkins) and orchestration platforms (MLflow/Kubeflow), specifically integrating Pure Storage's FlashBlade, FlashArray, and Portworx as the high-performance data plane for data ingestion, training, and inference. Build High-Performance AI/ML Reference Architectures: Create validated, repeatable deployment models using Infrastructure as Code (e.g., Ansible, Terraform) for AI/ML environments spanning bare metal, virtual machines, and GPU-accelerated Kubernetes clusters, ensuring optimal performance for distributed training. Optimize and Operationalize GPU Inference: Architect and implement solutions for high-throughput, low-latency model serving, utilizing technologies like NVIDIA Triton Inference Server and advanced optimization techniques (quantization, model sharding like DeepSpeed/Megatron-LM, and dynamic bat

PythonAWSKubernetesCI/CD
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📍 Bengaluru, KARNATAKA, India· Full-time
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Toradex is a global company strongly focused on engineering & technology. We’re powered by a diverse & uniquely gifted workforce. We pursue the best people to propel our innovative vision of embedded computing and IoT. If you’re interested in being a driving force at an agile technology company, engineering clever computing solutions & helping other companies bring their products to life, we should talk. About the Role We are looking for a technically strong and customer-focused Field Applications Engineer (FAE) to join our team in India. The ideal candidate will act as a key technical interface between customers, sales, and internal engineering teams, supporting customers throughout the complete product development lifecycle—from initial requirements gathering and solution definition through development, validation, and delivery. The role requires a strong combination of embedded hardware and software knowledge, customer-facing skills, problem-solving ability, and business awareness. The successful candidate will work closely with customers to understand their technical challenges, recommend suitable solutions, and help drive successful adoption of our products and technologies in the Indian market. Key Responsibilities Take technical ownership of customer-driven projects, supporting the complete development lifecycle from requirements gathering and solution definition through development, validation, and delivery. Act as the primary technical interface between customers, sales teams, and internal engineering/development teams to ensure successful project execution. Work closely with customers in India to provide hardware and software design support, technical guidance, and application-level assistance based on their specific requirements. Understand customer applications and system requirements and recommend appropriate products, technologies, and system architectures. Support customers during product evaluation, prototyping, development, testing, and

LinuxRestAgileAI
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📍 Bengaluru, India· Full-time
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About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the Role: As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes. What You'll Do: Customer-facing: 30% working directly with customers. Coding & Integration: 70-80% hands-on technical implementation Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows. Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow. Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent ac

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📍 Bengaluru, India· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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 You will join the Portworx team in Everpure, which is responsible for delivering the highest quality Portworx Enterprise products. You will be contributing clean & robust code, be customer oriented and put quality first.A WHAT YOU'LL DO Designing and developing cloud native microservices and integrating new features to Portworx products Bringing a focus on design, development, unit/functional testing, code reviews, documentation, continuous integration and continuous deployment Debug product and performance issues in large scale clusters using AI tooling Collaborating with peers and stake-holders to take solutions from initial design to production Take full ownership of design and development activity by adapting to customer feedback and handling issues found in unit testing, system testing and customer deployments Experimenting with new technologies in order to push the state-of-the-art and innovate new solutions. We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. WHAT YOU BRING BS in Computer Science 8+ years of experience in Designing, Development and Testing of Enterprise products (Golang preferred). Good understanding of Microservice Architectures and Cloud Native platforms Designing and owning micro services to operate and scale in a di

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