RPA Solutions Architect Jobs in Bengaluru

Staff Engineer Solutions Automation (NMS/SMx) Location: Bangalore Type: Full-Time Experience Required: 12+ Years (QA Lead/Architect level) Role Overview: Strategic Quality Leadership We are seeking a Staff Engineer to lead Solutions Test Automation for our next-generation Network Management System (SMx). This is a high-impact, strategic role requiring a deep mastery of networking protocols and modern GUI automation. You will drive complex automation projects, mentor junior engineers, and integrate AI-driven tools to redefine our testing methodologies and product reliability. Technical & Domain Expertise Networking & Fiber Optics: L2/L3 Protocols: Strong understanding of OSPF, BGP, ISIS, VLAN, and VRF. Protocol Mastery: Expert knowledge of Ethernet, TCP/IP, and SNMP. Telecom Infrastructure: Experience with fiber optics technology such as GPON and XGSPON is a significant advantage. Automation Stack: Frameworks: Proficiency in Robot Framework, PYART, and Playwright. GUI & API Testing: Extensive experience developing automated tests for complex enterprise GUI applications. Programming: Strong Python proficiency for script and framework development. DevOps Integration: Ability to integrate automated suites into CI/CD pipelines (Jenkins, GitLab) using Docker/Kubernetes. Key Responsibilities Leadership & Mentorship: Team Guidance: Mentor junior engineers, conduct rigorous code reviews, and foster a culture of technical excellence. Project Ownership: Drive the full automation lifecycle from strategy and environment planning to execution and results analysis. Innovation & Quality: AI-Driven Testing: Incorporate AI/ML tools (self-healing tests, visual validation) to enhance efficiency. Scenario Design: Leverage domain expertise to design realistic network topologies and simulate complex customer use cases. Continuous Improvement: Propose and implement enhancements in tools and methodologies to increase test coverage and reliability. Qualifications & Preferred Skills Experience: 12+ years in QA/Test Automation with a track record in progressively responsible leadership roles. Education: Bachelor s or Master s in Computer Science, Telecommunications, or a related field. Certifications (Preferred): CCNA, CCNP, or ISTQB Advanced Test Manager. Industry Context: Prior experience with NMS/EMS products (e.g., Calix AXOS, Cisco Prime) or OSS/BSS systems is a major plus. Soft Skills for Success Communication: Ability to explain complex technical networking concepts to non-technical stakeholders. Proactiveness: Staying updated on the latest industry trends and experimenting with new tools. Collaboration: A team player comfortable working in a hybrid environment with global teams. Qualification : Bachelors or Masters in Computer Science, Telecommunications, or a related field

Staff Engineer, Solutions Automation (NMS/SMx) Location: Bangalore Type: Full-Time Experience Required: 12+ Years (QA Lead/Architect Level) The Opportunity: Strategic Quality Architect We are seeking a Staff Engineer to act as the technical architect for Solution Test Automation of our Network Management System (SMx). This senior individual contributor role requires a rare blend of deep L2/L3 networking expertise and proficiency in modern AI-driven automation. You will drive the vision for product quality, mentor a growing team, and solve the complex challenges of testing fiber-optic and telecom infrastructures. Technical Expertise & Domain Depth Networking & Fiber Optics: L2/L3 Protocols: Strong mastery of OSPF, BGP, ISIS, VLAN, and VRF. Network Protocols: Expert knowledge of Ethernet, TCP/IP, and SNMP. Optical Technology: Familiarity with GPON and XGSPON technologies and telecom network devices. Automation Stack: Framework Architecture: Advanced proficiency in Robot Framework, PYART, and Playwright. Programming: Expert Python skills for developing maintainable scripts and custom libraries. Modern Tooling: Experience implementing AI-based GUI testing and visual validation tools. CI/CD & DevOps: Integration of automated suites into Jenkins/GitLab CI using Docker/Kubernetes. Key Responsibilities Engineering Leadership & Mentorship: Team Guidance: Mentor junior automation engineers, conduct rigorous code reviews, and foster a high-performance culture. Project Ownership: Drive the end-to-end automation lifecycle from test strategy and environment planning to advanced results analytics. Cross-functional Alignment: Partner with Product Management and Dev teams to triage issues and align quality goals with release schedules. Innovation & Domain Application: Scenario Design: Leverage domain expertise to simulate realistic network topologies and complex customer use cases. Process Optimization: Champion the transition from manual efforts to high-efficiency automation by refining methodologies and frameworks. Troubleshooting: Resolve complex issues related to Optical Communication and Network Management Systems. What You Bring Proven Track Record: 12+ years in QA/Automation with significant experience in NMS/EMS or complex enterprise applications. Educational Background: Bachelor s or Master s in Computer Science, Telecommunications, or a related field. Certifications (Preferred): CCNA, CCNP, or ISTQB Advanced Test Manager. Soft Skills: Exceptional ability to simplify complex technical networking concepts for diverse stakeholders. Qualification : Bachelors or Masters in Computer Science, Telecommunications, or a related field

Senior Technical Architect Location: Bengaluru Work Type: Full-Time About Locus Locus is a battle-tested, agentic Transportation Management System powering all-mile, all-channel logistics across 30+ countries. In 2025, Locus joined the Ingka Group (IKEA Retail), gaining the scale of a global leader while continuing to operate independently. Headquartered in Bangalore with a global footprint, we are a team of 170+ problem-solvers united by a mission to reinvent how the world moves goods. What We Value Global Mindset: Curiosity about diverse markets. Driven: Energized by complex challenges. Thoughtful: Analytical and deliberate. Adaptive: Decisive in fast-moving environments. Exacting: Commitment to excellence and detail. Role Overview You will define the architectural backbone of Locus s enterprise SaaS platform. This role bridges the gap between product vision and technical execution, ensuring our systems remain scalable, extensible, and resilient as we grow globally. Key Responsibilities Platform Vision: Define high-level system and module architectures aligned with business goals. Domain-Driven Design: Build domain-centric, loosely coupled systems for logistics and enterprise SaaS. Scale & Performance: Architect resilient, high-throughput systems for real-time data processing. Technical Mentorship: Lead design reviews and mentor engineers on architectural patterns and best practices. Modernization: Identify technical debt and define phased roadmaps for platform evolution. Ideal Candidate Profile 10+ years in software architecture, including 3+ years in enterprise SaaS platform architecture. Domain Expertise: Deep knowledge of TMS, WMS, routing, or optimization systems. Technical Stack: Mastery of Microservices, Event-Driven Architectures, REST APIs, and Cloud-Agnostic design. Leadership: Proven ability to communicate complex blueprints to both executive stakeholders and engineering teams. Shape the future of logistics automation, establish a foundation for global innovation, and solve complex, real-world problems with the backing of the IKEA ecosystem.

Principal Architect Location: Bangalore Company: AliveCor About AliveCor AliveCor is on a mission to **revolutionize heart health** by making it accessible to everyone, everywhere. We have pioneered **over-the-counter medical ECG devices**, trusted by millions, and are leaders in empowering consumers to take control of their heart health. With our **FDA-cleared medical-grade hardware and software**, users have performed over 300 million heart health measurements. We are a team driven by a shared passion to make a real difference in people s lives. The Opportunity & Role As the **Principal Architect** at AliveCor, you will play a pivotal role in **shaping the future of heart health technology**. You will lead the architecture of our platform, ensuring it meets the evolving needs of our customers and the healthcare industry. This role requires **strong technical expertise in GoLang, Java, AWS, and modern software architecture**. Key Responsibilities Architect & Design Solutions: Collaborate closely with product and engineering leadership to design **scalable, secure, and efficient solutions** for both consumer and clinician-facing applications. Hands-On Engineering: Actively engage in software development (**up to 50% of your time**), working with technologies such as **Go, Java, Ruby on Rails, PostgreSQL, AWS, React, JavaScript**, and mobile (iOS & Android) apps. AI Integration: Leverage cutting-edge **AI technologies, including LLMs** (Large Language Models), to enhance the customer experience and drive product innovation. Ownership & Scalability: **Own the architecture** for your suite of products, ensuring it aligns with the organization s technical vision and is built to scale. Lead the review process and ensure timely implementation of changes. Mentorship & Best Practices: Drive **code reviews, design reviews, and architecture discussions** to establish and uphold engineering best practices across teams. Backend Infrastructure & Improvement: Maintain and continuously enhance backend systems to solve technical limitations before they affect production. Experiment with New Technologies: Explore emerging technologies and drive adoption where relevant, measuring impact and scalability. Qualifications & Skills Hands-on Engineering Leadership: **15+ years of hands-on software engineering experience**, including significant exposure to architecture and systems design. Core Proficiency: Strong knowledge of **GoLang and Java**, with experience in designing and building large-scale systems. Cloud & Platform Expertise: Expertise in **AWS and Kubernetes**, with the ability to architect and manage cloud-based systems. Architecture Design: Extensive experience with **multi-tier architectures, high-performance web-scale systems, and large databases**. System Design Expertise: Strong system design skills and experience designing clean interfaces and working at the right level of abstraction. Microservices & SOA: Experience designing and implementing **Service-Oriented Architectures (SOA) or Microservices**. CI/CD & Automation: Familiarity with build process automation and **CI/CD** (e.g., GitLab, Travis). Product Focused: Ability to work with product teams to identify customer pain points and iterate on solutions quickly. Willingness to Learn: Eagerness to learn new technologies and adapt to the ever-changing landscape of software engineering. Knowledge of Ruby on Rails is a plus, but not a requirement. Perks & Benefits Working Model: Hybrid Working Model (Flexibility to work both remotely and in the office). Leave: Generous Vacation Policy and comprehensive Family Leave. Medical Benefits: Above-market family floater medical insurance, covering both parents. Office Perks: Complimentary lunch provided at the office and convenient metro connectivity. Culture: Supportive, collaborative team culture.

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Position: AI Solutions Architect Location: Bangalore, India Shift: 2 PM to 11 PM IST (supporting EMEA/US business hours) About Workato Workato is a global leader in enterprise orchestration, leveraging AI-powered automation to streamline complex workflows across data, processes, and applications. Recognized by Business Insider, Forbes, Deloitte, and Quartz, Workato fosters an innovative, flexible, and trust-driven culture, empowering employees to own their work and grow alongside a vibrant team. Join a fast-growing tech company celebrated for innovation and remote work culture. Collaborate in a diverse, inclusive environment focused on continuous improvement. Impact the future of AI-driven business automation on a global scale. Your Responsibilities Architect and develop advanced agent-based AI solutions exhibiting autonomous, adaptive, and proactive behaviors. Design techniques for large language models (LLMs) to author complex AI behaviors reliably. Provide technical expertise, advising clients and internal teams on AI workflows and integration. Tailor and deploy AI-powered IT workflows that are scalable, fault-tolerant, and aligned with enterprise best practices. Collaborate across teams to integrate AI automation into existing IT infrastructures. Deliver custom product demos and support sales and product teams. Contribute to internal knowledge bases and continuously improve processes. Support product ideation through to implementation stages, working closely with product managers. What You ll Need BTech/BE or higher in Computer Science, AI, ML, or related field. 12+ years of relevant experience in AI solution design, development, and deployment. Proven expertise in AI engineering focused on agent-based systems. Strong background in integration projects with hands-on experience in middleware, APIs (REST/SOAP), SOA, ESB, BPM, and databases (RDBMS/NoSQL). Coding experience (2-3 years) in Java, Python, or Ruby. Experience with integration platforms (TIBCO, Dell Boomi, MuleSoft) and cloud technologies (iPaaS, SaaS) is a plus. Familiarity with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, or Marketo is advantageous. Knowledge of microservices, event-driven architecture, process automation (BPM/RPA) is a plus. Personal Attributes Collaborative mindset and ability to thrive in a dynamic startup environment. Strong analytical and critical thinking skills with entrepreneurial initiative. Effective time management and prioritization, even under pressure. Excellent communication skills to convey complex ideas clearly to non-technical audiences. Proactive problem solver and fast learner who can conduct deep research independently. Qualification : BTech/BE or higher in Computer Science, AI, ML, or related field.

Position: Senior AI Solutions Engineer Location: Bangalore, India Shift: 2:00 PM 11:00 PM IST (EMEA/US support hours) About Workato Workato is the market leader in enterprise orchestration, enabling 400,000+ global customers to streamline operations by connecting data, apps, and processes. Powered by AI, its platform drives agility through intelligent automation. Recognized by Forbes, Deloitte, and Business Insider, Workato offers a dynamic and collaborative culture that blends innovation with work-life balance. Role Overview As a Senior AI Solutions Engineer, you'll play a key role in building and deploying intelligent, agent-based systems and Retrieval-Augmented Generation (RAG) solutions using Workato s Agentic AI platform. This is a highly technical, hands-on role that blends AI/ML expertise, integration design, customer engagement, and scalable solution delivery. Key Responsibilities AI Engineering & Solution Architecture Design and deploy multi-agent AI workflows that are autonomous, adaptive, and goal-directed. Develop robust RAG pipelines using LLMs and Workato connectors to generate grounded, real-time responses. Implement intelligent memory, prompting, and behavior management strategies for AI agents. Technical Leadership Act as the technical expert for AI-driven architectures using Workato s automation and orchestration platform. Architect scalable AI-powered workflows integrating Workday, NetSuite, Salesforce, ServiceNow, etc. Own performance monitoring, troubleshooting, and continuous optimization of AI systems. Customer Collaboration Work directly with customers to design and deliver tailored Agentic AI and RAG solutions. Communicate complex AI concepts clearly to business and technical stakeholders. Champion exceptional customer service and solution success. Cross-Functional Collaboration Support product managers with technical specifications and solution design. Contribute to internal knowledge bases, best practices, and thought leadership. Participate in product ideation, rapid prototyping, and iterative improvement. Required Qualifications Technical Skills BTech/BE in CS, AI/ML, or related field. 8+ years in solution architecture and development; 3+ years on Workato platform required. Solid foundation in AI agent systems, RAG, and large language models (LLMs). Strong experience with APIs (REST, SOAP), JSON, and relational or NoSQL databases. Programming experience: Java, Python, or Ruby (2 3 years). Hands-on integration experience with middleware, iPaaS, BPM, or RPA platforms. Familiarity with automation tools like Dell Boomi, MuleSoft, or TIBCO is a plus. Bonus Knowledge Familiarity with OAuth, SSO, MFA, and cloud platforms (AWS/GCP/Azure). Experience with enterprise SaaS apps (e.g., Salesforce, Workday, ServiceNow, NetSuite). Exposure to event-driven architecture and microservices. Soft Skills & Mindset Strong communication and storytelling skills. Critical thinker with an entrepreneurial mindset. Self-starter with the ability to work independently and across teams. Passionate about solving complex technical problems and delivering value.

Architect Infrastructure Solutions Location: Bangalore (Bengaluru) Experience: 8 to 12 Years Job Role: Infrastructure Solutions Architect Industry: IT Infrastructure & Cloud Services Job Summary: We are seeking a skilled Infrastructure Solutions Architect to design, document, and lead enterprise infrastructure projects, including virtualization, data center upgrades, migrations, and cloud integration. The ideal candidate will have hands-on experience with infrastructure technologies and the ability to deliver comprehensive design documentation and presentations. Key Responsibilities: Architect, design, and document enterprise infrastructure solutions including VMware virtualization, Nutanix, NetApp, EMC, and Windows Servers Develop high-level and low-level design diagrams, technical documentation, and detailed solution specifications Lead infrastructure upgrade, refresh, migration, and Hyper-Converged Infrastructure (HCI) projects Design and implement solutions for server, storage, backup, data center, high availability, disaster recovery, and business continuity Collaborate closely with cross-functional teams including server, network, architecture, operations, engineering, and project management Define and promote infrastructure best practices and standards Analyze existing infrastructure and recommend improvements for performance, cost efficiency, and scalability Prepare technical presentations and documentation using tools like Microsoft Visio and PowerPoint to communicate solutions, timelines, and costs Connect on-premises infrastructure with cloud technologies to enable hybrid solutions Required Skills & Qualifications: Bachelor s or Master s degree in Information Technology, Computer Science, or related field 8-12 years of experience in infrastructure architecture design, implementation, and support Minimum 5 years of experience as an infrastructure solutions architect in large enterprises Hands-on infrastructure engineering experience (5+ years) including data center design and migrations Strong expertise in virtualization platforms such as VMware and HCI technologies like Nutanix Deep knowledge of storage solutions including NetApp, EMC, and backup technologies like Rubrik and Zerto Experience managing Windows Servers and Active Directory environments Solid understanding of cloud technologies and automation tools Proficiency in creating detailed technical documentation and architecture diagrams Excellent communication, presentation, and problem-solving skills Lead impactful infrastructure transformation projects in a dynamic enterprise environment Collaborate with global teams and advance your skills in cloud and data center technologies Work on cutting-edge infrastructure solutions supporting business continuity and disaster recovery Qualification : Bachelors or Masters degree in Information Technology, Computer Science, or related field

Delivery Solutions Architect Location: Bengaluru, India Company: Databricks Role Overview As a Delivery Solutions Architect (DSA) at Databricks, you will be the key technical leader post-sale, collaborating closely with sales, field engineering, and product teams to accelerate adoption and maximize value for complex, strategic customers. You will lead technical account strategies, drive onboarding and enablement, troubleshoot issues, and ensure successful production rollout and healthy consumption of Databricks workloads. Key Responsibilities Partner with Solutions Architects to understand customer use cases and demand plans. Own and execute technical strategies for prioritized customers and use cases. Serve as the primary technical point-of-contact post-sale for key accounts, managing multiple use cases. Coordinate internal Databricks resources and escalate issues as needed to ensure customer success. Develop and manage execution plans covering onboarding, user enablement, product adoption, and governance. Provide regular updates on customer health, usage KPIs, risks, and product adoption to senior leadership. Collaborate with Professional Services for engagement proposals and delivery. Navigate product and engineering teams to incorporate new innovations and upgrades. Qualifications & Experience 8+ years of technical project/program delivery experience in Data and AI domains. Proficiency in Python, SQL, or Scala programming. Customer-facing experience in pre-sales, technical architecture, customer success, or consulting roles. Strong understanding of distributed data systems architecture and how to link business value to project outcomes. Skilled in managing technical escalations, stakeholder management, and strategic roadmap development. Demonstrated track record of meeting or exceeding goals/quotas. Bachelor s degree in Computer Science, Information Systems, Engineering, or equivalent experience. Willingness to travel up to 30%. About Databricks Databricks is a leading data and AI company that powers thousands of organizations worldwide with its unified Data Intelligence Platform. Founded by the creators of Apache Spark , Delta Lake, and MLflow, Databricks empowers enterprises to innovate with data and AI. Qualification : Bachelors degree in Computer Science, Information Systems, Engineering, or equivalent experience.

Digital - Technology Specialist - Azure & AI Location: Bangalore, Karnataka, India Employment Type: Full-Time About the Role At Microsoft, the Small Medium Enterprises and Channel (SME&C) team is at the forefront of driving AI-powered global sales. We are empowering businesses of all sizes through the transformative power of Microsoft technologies. In this dynamic role, you will engage directly with customers and partners, leveraging your expertise in Azure and AI technologies to scale solutions and drive business outcomes. SME&C is more than a sales organization it s a vibrant, innovative community. By joining us, you ll be part of a high-growth, customer-obsessed team dedicated to redefining how businesses adopt technology for growth and innovation. Key Responsibilities Scale Customer Engagements: Work with customer technical decision-makers to anticipate needs, gather data, and drive technical discussions that lead to successful outcomes for Azure & AI technologies. Engage Through Partners: Collaborate with partners and internal resources to facilitate technical engagements and overcome blockers. Build Strategy: Contribute to strategy development by sharing competitive insights and feedback from customer sessions, shaping how Microsoft solutions can drive customer success. Solution Design and Proof: Demonstrate and apply Microsoft solutions to customer challenges through architectural design sessions (ADS), proof of concept (POC), and solution demonstrations. Technical Leadership: Build your domain knowledge, conduct training, and act as a mentor within the community to grow technical expertise and enhance customer engagements. Qualifications Required/Minimum Qualifications: 3+ years of technical pre-sales or technical consulting experience, OR Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field with 4+ years of technical experience. Relevant certifications in Microsoft or competitive platforms, such as Microsoft Office 365, Power BI, Azure, or Cloud Platform Technologies. Additional or Preferred Qualifications: 7+ years of experience in technical pre-sales, technical consulting, or related fields. 4+ years of hands-on experience with cloud, hybrid, or on-premises infrastructure, architecture designs, migrations, and industry standards. Expertise in Azure and AI technologies with a strong ability to craft and deliver customized solutions to customers. Join us in a collaborative, fast-paced, and digital-first environment where your contributions will have a direct impact on the success of businesses globally. At Microsoft, we foster a culture of inclusion, continuous learning, and innovation. Employee Benefits Industry-leading healthcare coverage Generous paid time off and family leave policies Access to learning and development resources Employee discounts and savings programs Maternity and paternity leave Global networking and community engagement opportunities Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability status, or any other characteristic protected by law. Qualification : Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field with 4+ years of technical experience.

AI Platform Architect Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is changing the world through digital experiences. Whether you're an emerging artist or a global brand, our tools empower creativity and innovation across every screen. From powerful imaging and video solutions to immersive web and app design, Adobe s mission is to help people and businesses deliver exceptional digital experiences. We are committed to creating an inclusive workplace where everyone is respected and given equal opportunity. Innovation can come from anywhere and the next big idea could be yours. Job Description We are looking for a visionary AI Platform Architect with deep expertise in building and scaling cloud-native, AI-powered platforms. The ideal candidate will have experience deploying large-scale, customer-facing AI solutions and a deep understanding of modern cloud architecture, data systems, MLOps, and LLMOps. Responsibilities Design and develop scalable AI/ML platforms and pipelines across AWS, Azure, and GCP. Architect end-to-end LLM pipelines including model training, fine-tuning, serving, inference APIs, and monitoring. Lead cross-functional teams in delivering AI solutions from experimentation to production. Implement MLOps and LLMOps best practices using tools like MLFlow, SageMaker, Langchain, and LangGraph. Design GPU-optimized architectures for training and inference of LLMs using DeepSpeed, vLLM, and other modern frameworks. Support infrastructure automation and container orchestration with Kubernetes, Docker, and CI/CD pipelines. Collaborate with internal stakeholders and clients to understand requirements, evangelize platform solutions, and ensure successful delivery. Key Skills and Expertise Cloud and DevOps: Expertise in AWS, Azure, GCP especially VPC design, cloud databases, and serverless architecture. Certified in AWS Professional Solution Architect, AWS ML Specialty, or Azure Solutions Architect Expert (preferred). Proficient with Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus. Data and Streaming: Experience with OLTP/OLAP databases and cloud-native data warehouses like BigQuery, Aurora, Spanner. Hands-on with Kafka, Apache Flink, Spark, Airflow, Databricks, Apache Iceberg, Presto. AI/ML & LLM Expertise: In-depth understanding of LLMs (GPT, Gemini, Claude, Mixtral, Llama, Hugging Face OSS models). LLMOps frameworks: Langchain, Langgraph, Langflow, Flowise, LLamaIndex. ML lifecycle tools: MLFlow, SageMaker, Vertex AI, Azure AI, AWS Bedrock. Proven experience in model optimization, fine-tuning, and high-throughput inference systems. Programming Languages: Proficient in Python, SQL, and JavaScript. Preferred Qualifications 10+ years in cloud and AI/ML platform architecture roles. Experience delivering AI solutions for enterprise-scale clients. Hands-on experience with GPU architecture and parallel/distributed training. Strong communication skills with ability to influence technical and business stakeholders. Work on cutting-edge AI technologies and shape future product experiences used by millions. Collaborate with world-class engineers and scientists in a diverse, inclusive culture. Be part of a company that values creativity, innovation, and employee well-being. Adobe is proud to be an Equal Opportunity Employer. We welcome and encourage candidates from all backgrounds to apply.

AWS Cloud Architect Location: Bengaluru, Karnataka, India Job Category: Consulting Job Type: Regular Employee Role: Individual Contributor Job Description: The Finergy division within Oracle FSGIU focuses exclusively on the Banking, Financial Services, and Insurance (BFSI) sector. The team provides deep domain knowledge to address complex financial needs and deploys multi-channel delivery platforms, ensuring a reduction in IT intervention and time to market. With several loyal clients over a decade, Finergy also delivers end-to-end banking solutions, offering integrated dashboards and analytics to enhance operational efficiency. As part of the team, you'll be responsible for architecting highly available, scalable, and secure AWS-based solutions while collaborating with both technical and non-technical stakeholders. Responsibilities: Design and architect fault-tolerant, highly available, and scalable solutions on AWS. Utilize services like EC2, S3, Lambda, RDS, Route 53, VPC, etc., for building secure and efficient cloud infrastructure. Lead migration projects from on-premises to AWS, ensuring seamless transitions. Automate provisioning and management of AWS infrastructure using CloudFormation and similar tools. Document best practices and standards for AWS architecture and deployments. Monitor cloud infrastructure performance, resolve bottlenecks, and optimize costs. Implement security measures to meet compliance with industry standards. Stay updated on the latest AWS features and provide guidance on new solutions. Provide technical leadership and mentorship to junior team members. Work in close collaboration with development teams to address AWS-related requirements. Qualifications and Skills: Bachelor's degree in Computer Science, Engineering, or related field. 8-10 years of experience in AWS architecture. AWS Certified Solutions Architect - Professional certification is mandatory. Proven track record in designing and implementing complex AWS solutions. Expertise in networking, security, and system administration concepts. Strong programming skills, preferably in Python. Excellent problem-solving and analytical abilities. Ability to explain technical concepts clearly to both technical and non-technical stakeholders. Strong teamwork and collaboration skills. If you're passionate about leveraging AWS to build innovative, scalable, and secure cloud solutions, this is a fantastic opportunity to join an experienced team in the growing BFSI domain. Qualification : Bachelor's degree in Computer Science, Engineering, or related field.

Job Title: Automation Engineer Location: Bengaluru, India Company: Wipro Limited Role Purpose The purpose of this role is to design, program, simulate, and test automation processes and products, ensuring they meet the required levels of efficiency, effectiveness, and quality. Key Responsibilities 1. Understanding Software Requirements & Product Design Analyze and understand the current technology architecture, system dependencies, and application stacks. Collaborate with project management to formulate project plans, define development steps, and obtain approval for the plans. Review existing operating procedures by consulting with users, partners, and clients to ensure alignment with project goals. Contribute to the automation roadmap, designing process improvements and developing innovative automation solutions. Improve and maintain the automation framework to support various technology stacks and create reusable libraries across multiple business verticals. 2. Software Development & Reporting Prepare the environment for automation processes, including test plan design, development of test cases and usage scenarios, and test execution. Develop technical specifications and resolve complex technical design challenges. Collaborate with development teams to design and validate both functional and non-functional automation requirements. Implement, track, and report key automation metrics to ensure full test coverage. Own the process for error elimination, ensuring code testing and validation align with Wipro standards. Track and document problems, resolutions, and defect fixes, building a comprehensive database of bugs and successful solutions. Develop and update automated testing tools to ensure continued process efficiency and accuracy. Use industry best practices, reusable code, and design patterns while developing automation processes. 3. Communication & Stakeholder Collaboration Work closely with Agile delivery teams to understand product vision, product backlogs, and automation requirements. Assist in creating acceptance criteria for user stories and translate them into automation test backlogs. Collaborate with development teams to improve continuous deployment processes through formalized strategies, processes, and tooling. Partner with business SMEs to fully understand automation requirements, then design and deploy suitable automation solutions. Ensure long-term maintainability by documenting all automation processes according to Wipro guidelines. Maintain clear, effective communication with testers, developers, and clients to ensure quick resolution of issues and thorough documentation. Provide assistance to testing and support personnel when system problems arise. Perform backend/database programming when necessary to support key automation projects. Stay updated on industry standards and incorporate them into day-to-day work. Performance Parameters Parameter Measure Automation Quality Adherence to design, project plan compliance, effective issue resolution, zero disruption in deployment, proactive risk identification (EWS) with mitigation measures Documentation Quality Comprehensive documentation of the automation process, test cases, debugging data, and performance reviews as per Wipro quality standards About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading global technology services and consulting company. We focus on delivering innovative solutions that address the most complex digital transformation challenges of our clients. With a holistic portfolio spanning consulting, design, engineering, and operations, we empower clients to achieve their boldest ambitions and build future-ready businesses. With over 230,000 employees and business partners across 65 countries, we deliver value to customers, colleagues, and communities across the globe. Learn more at www.wipro.com. At Wipro, we empower individuals to continuously reinvent themselves and their careers. We foster an inclusive and diverse work environment where innovation and collaboration thrive. We actively welcome applications from people with disabilities and all individuals regardless of background. Come to Wipro. Realize your ambitions.

About MongoDB MongoDB empowers innovators to create, transform, and revolutionize industries by harnessing the power of software and data. We enable organizations of all sizes to build, scale, and manage modern applications by modernizing legacy systems, fostering innovation, and integrating AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in over 115 regions across AWS, Google Cloud, and Microsoft Azure. With Atlas, customers can build anywhere on the edge, on-premises, or across multiple cloud providers. With a global presence and over 175,000 developers joining MongoDB monthly, industry leaders such as Samsung and Toyota rely on us to develop next-generation, AI-driven applications. Role Overview We are seeking passionate and skilled technologists to join our Pre-Sales organization, ensuring that our growth is strategically aligned with our platform s capabilities and our customers needs. As a Pre-Sales Solution Architect, you will guide customers in designing and implementing reliable, scalable systems using MongoDB s data platform. Our team consists of experienced software architects, entrepreneurs, and developers who take direct responsibility for customer success from software design to deployment and operations. You will collaborate closely with our sales team, playing a key role in securing deals and driving business growth. As a trusted advisor, you will work with a diverse range of clients, from startups to large enterprise IT organizations. If you d like to learn more about the role, explore the experiences of Veronica Tudor, Matt Kalan, and Winston Vargo on our Life at MongoDB blog. This role is based in our Bengaluru office as part of our hybrid working model. Ideal Candidate Profile Required Qualifications: 10+ years of professional experience, including a strong background in software development. 3+ years of pre-sales experience with enterprise software solutions. Proficiency in at least two modern scripting or programming languages (e.g., Python, Node.js, SQL, C/C++, Java, C#). Hands-on experience with scalable and highly available distributed systems. Willingness to travel within the region, including international travel as needed. Preferred Qualifications: Experience selling databases or deploying applications with major cloud providers (AWS, Google Cloud, Azure). Familiarity with database programming and data modeling best practices. Key Responsibilities Design systems, applications, and infrastructure to support large-scale software development projects using MongoDB. Provide technical guidance on architectures, patterns, and best practices for leveraging MongoDB effectively. Support the sales team with technical discovery, demonstrations, proof of value, presentations, system sizing, and documentation of technical decision criteria. Translate technical concepts into business value for stakeholders, including executives and decision-makers. Act as a liaison between customers and MongoDB s Product Management team, providing field insights and feedback. Represent MongoDB at industry events, trade shows, and account-based marketing initiatives to drive demand. Mentor and support other pre-sales team members, sharing knowledge and best practices. Demonstrate situational awareness and adaptability in dynamic team environments. Learning & Development Opportunities Gain in-depth knowledge of MongoDB s rapidly evolving product suite, including: Core Database Server Atlas (fully managed cloud database service) Atlas Data Lake, Atlas Full-Text Search, Realm (Mobile Database), Charts Developer Tools & Connectors (Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark) Expand expertise in complementary technologies such as Apache Kafka and Kubernetes. Learn and apply modern architecture methodologies, including microservices, event-driven architectures, DevOps, and cloud security. Develop and refine sales techniques, including presentations, demonstrations, whiteboarding, discovery, and objection handling. Gain exposure to a diverse range of industries and real-world use cases. Culture & Benefits At MongoDB, we prioritize the personal and professional growth of our employees by fostering a supportive and enriching work environment. From employee affinity groups and fertility assistance to a generous parental leave policy, we are committed to the well-being of our team members at every stage of their journey. Learn more about life at MongoDB and join us in making a meaningful impact on the world. MongoDB is an equal-opportunity employer committed to diversity and inclusion. We provide accommodations for individuals with disabilities throughout the application and interview process. If you require accommodations, please inform your recruiter.

Position: Power Platform Engineer Experience: 5+ years of experience with Power Platform and related technologies Employment Type: Full-time Mandatory Skills: Delivering services and solutions using Microsoft PowerApps, SharePoint, Power Automate, Microsoft Teams, custom development, and data integrations. Hands-on experience with Dataverse and related business process automations. Proficiency in migrating Power Platform solutions across different tenants with a solid understanding of data connections and references. Basic SharePoint Online experience with lists, libraries, and connectivity. Azure DevOps experience. Familiarity with Agile (Scrum) development processes. Stay updated with the latest features and trends in PowerApps and Power Automate. Tasks and Responsibilities: Understand and contribute to the overall Power Platform migration program. Ensure technical quality and compliance with the overall architecture. Execute migration requirements while testing and working in direct contact with customers. Collaborate closely with cross-functional teams to deliver solutions that align with business needs. Desired Skills: Self-driven with the ability to provide solutions independently and as part of a team. Experience working in Agile (Scrum) development environments. Experience in a project-oriented, international matrix organization. Excellent communication skills, with the ability to work across multiple countries and time zones. High degree of flexibility and strong interpersonal skills. Willingness to travel for close coordination with the team as required. Join Us! We offer a dynamic environment, opportunities for growth, and the chance to work on exciting Power Platform projects in a global organization. If you re passionate about delivering high-quality solutions and staying ahead of industry trends, we d love to hear from you!

Applied AI Engineering Team: Solution Architect AgentOS Platform At DevRev, the Applied AI Engineering team plays a crucial role in ensuring that our customers derive the maximum value from our platform. As customers progress through their DevRev journey, they may identify opportunities to integrate with existing enterprise systems, automate workflows, or enhance DevRev's platform capabilities to achieve their business goals. Our team works closely with customers to understand their requirements, designing, developing, and implementing solutions that meet those objectives. Position Overview: We are seeking a highly skilled Architect to lead the design and implementation of custom solutions on our AgentOS platform. In this pivotal role, you will serve as a bridge between business requirements and technical solutions, utilizing your expertise to deliver scalable, robust, and high-performing applications. You will collaborate with cross-functional teams including engineering, product management, and customer stakeholders to ensure that our solutions meet customer needs and drive long-term business success. Key Responsibilities: Design and develop comprehensive technical solutions that align with customer requirements and business goals, ensuring seamless integration with the AgentOS platform. Work closely with customers and internal stakeholders to gather and understand their needs, offering expert guidance on solution feasibility and technical implementation. Lead the architecture and technical design for customer projects, ensuring that all solutions are scalable, robust, and adhere to industry best practices. Oversee the integration of solutions with customer systems and third-party services, ensuring optimal functionality and performance. Create and maintain detailed architectural documentation, including solution designs, system flow diagrams, and technical specifications. Collaborate with engineering teams to ensure the successful implementation of designs and provide guidance throughout the development lifecycle. Stay up to date with emerging technologies and industry trends, integrating relevant advancements into solutions to enhance their functionality and competitiveness. Support pre-sales and partner teams in defining technical requirements for new opportunities, providing input on solution feasibility and estimating project effort. Ensure that all solutions meet stringent quality standards, while adhering to security, compliance, and performance requirements. Qualifications: 8+ years of experience in solutions architecture or a similar role, with a proven track record of designing and implementing complex, scalable solutions. Expertise in Gen AI, cloud technologies, and integration patterns. Hands-on experience with TypeScript, JavaScript, Python, and relevant frameworks is required. Strong problem-solving skills, with the ability to analyze and address technical challenges effectively. Excellent interpersonal and communication skills, with the ability to convey complex technical concepts clearly to non-technical stakeholders and customers. Experience managing multiple projects and deliverables concurrently, with proficiency in project management methodologies and tools. A proven track record of delivering customer-focused solutions and providing exceptional customer service. Experience in SaaS, enterprise software, or platform-centric environments is highly preferred. A Bachelor s degree in Computer Science, Engineering, or a related field is required. An advanced degree or relevant certifications in technologies or architecture frameworks is a plus. Culture: At DevRev, our culture is rooted in the principles of hunger, humility, honesty, and heartfelt action. We are committed to helping build the world s most customer-centric companies by empowering engineers to better connect with their customers. Our mission is to leverage design, data engineering, and machine intelligence to enable our customers to thrive in an ever-evolving technological landscape. Qualification : A Bachelors degree in Computer Science, Engineering, or a related field is required. An advanced degree or relevant certifications in technologies or architecture frameworks is a plus.

About _VOIS (Vodafone Intelligent Solutions): _VOIS is a strategic arm of Vodafone Group Plc, driving innovation, enhancing quality, and delivering efficiencies across 28 countries. Operating from seven global locations Albania, Egypt, Hungary, India, Romania, Spain, and the UK our team of over 29,000 highly skilled professionals powers Vodafone s transformation journey. Established in 2006, _VOIS has grown into a global, multi-functional Centre of Excellence for Intelligent Solutions, delivering value-added services in IT, Business Intelligence, Customer Operations, HR, Finance, Supply Chain, and more. Our focus is on creating business outcomes that support Vodafone s mission of connecting for a better future. About _VOIS India: Since its inception in 2009, _VOIS India has evolved into one of our key global delivery hubs. With more than 14,500 employees across Pune, Bangalore, and Ahmedabad, _VOIS India supports Vodafone s global markets and functions. We deliver world-class services in areas such as Information Technology, Networks, Business Intelligence & Analytics, Robotics & AI, Digital Business Solutions, Finance Operations, Supply Chain Operations, and Human Resources. Job Role: UC Network Platform Design Specialist Key Responsibilities: Deliver low-level platform designs for all UC network platforms, ensuring alignment with project plans and effective collaboration with other teams. Own and manage the UC Network baseline, lifecycle, and platform integrity. Lead projects to maintain platform integrity and ensure optimal performance. Manage team resources to meet delivery deadlines and budget expectations. Provide advanced 3rd line support for complex UC network issues. Core Competencies & Required Skills: Minimum 5 years experience in designing and deploying large-scale computing and network infrastructures. Strong expertise in: CISCO: 9K, 7K, 2K, 1K, Catalyst 3x50 switches CISCO ASA and Juniper Firewalls CISCO Unified Computing network components (e.g., DCNM, Fabric Interconnect) IP Routing Protocols: BGP, OSPF CISCO HCS and routers Load Balancers (desirable) SDN/NFV and cloud platforms (Amazon AWS, Google Cloud, Microsoft Azure) (desirable) System administration skills (Windows Servers, RedHat Enterprise) are a plus. Equal Opportunity Employer: At _VOIS, diversity and inclusion are part of who we are. We celebrate individuality and welcome diverse perspectives, creating a workplace where everyone feels empowered to be their authentic self. We do not discriminate based on age, color, gender, gender identity, gender expression, nationality, race, religion, sexual orientation, disability status, or any other legally protected characteristic.

About_VOIS India _VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, _VOIS has evolved into a global, multi-functional organization, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. Role Purpose To produce technical designs, work with project/ delivery and lifecycle management to ensure successful implementation of tailored and emerging solution deals. To provide security engineering expertise in support of Group Technology Security standards and policies for the Vodafone, installed security appliances and infrastructure. A key team member on strategic or enterprise-wide technology projects or issues, providing technical input. Must have technical / professional qualifications: B.E/B.Tech/B.Sc./M,Sc Computer Science/MCA Exposure to manage large environment/ Infrastructure Certifications i.e. Product certification/expertise in latest Cyber Security technologies as specified above. _VOIS Equal Opportunity Employer Commitment _VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. Qualification : B.E/B.Tech/B.Sc./M,Sc Computer Science/MCA

Role Overview: We are looking for a SOA/Integration Software Engineer with hands-on experience in designing and developing integration solutions using Tibco technologies. The ideal candidate should have a strong command of integration technologies, best practices, and the ability to optimize and deliver high-quality solutions in both agile and waterfall environments. Core Competencies & Required Skills: 2 to 5 years of hands-on experience as a SOA/Integration Software Engineer with proven design and development credentials using Tibco. Expertise in Tibco products (EMS 7.x/8.x, BW 5.x/6.x, Active Spaces, APIX, Adapters/SDK). Strong skills in application/internet gateways, core Java programming, JMS, Oracle SQL, caching techniques, encryption standards, microservices, and security. Proficiency in defining Common Data Models (CDM) and TMF models. Technical Competence: Deep understanding of integration technology, standards, and best practices. Expertise in all aspects of software engineering, from solution design to development. Experience with high-complexity solution design and implementation for each release. Ability to critically review and optimize project team deliveries. Versatility in working with both agile and waterfall SDLC models. Strong grasp of integration design patterns, development, and last-line support for critical production issues. Identifying and resolving inefficiencies through automation or process improvements. Equal Opportunity Commitment: _VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and welcome individuals from all backgrounds, believing that inclusiveness drives growth and innovation. We do not discriminate based on age, color, gender (including pregnancy, childbirth, or related conditions), gender identity or expression, nationality, race, religion, sexual orientation, disability status, or any other legally protected characteristics. Join us to be part of an inclusive, innovative workplace where your ideas and contributions will make a difference!

About the job The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. Google Cloud has a strategic partnership with Oracle to make available Oracle flagship database technologies on Google Cloud. As a Database Practice Specialist focused on Oracle, you will engage with customers to identify appropriate Oracle workloads for migration to Google Cloud and design the overall deployment architecture. You will also work with partners and Oracle teams to develop migration plans to enable customers to move their Oracle workloads to Google Cloud. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Be an Oracle technology subject matter expert, focusing on Oracle database offerings and Oracle Cloud Infrastructure specifically, knowledge of Google Cloud Platform (GCP) infrastructure, including ecompute/Google Kubernetes Engine (GKE), storage and networking, and database services. Identify and qualify Oracle business opportunities, lead discovery workshops for Oracle workloads, identify key customer technical objections, and develop a strategy to resolve technical blockers. Support the technical relationship with Google s customers, including product and solution briefings on Oracle and database modernization, proof-of-concept work, and the coordination and prioritization of solutions impacting customer adoption of Google Cloud. Listen to the customer to provide feedback on product improvement to product management and engineering. Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in the enterprise software or cloud space. Experience with Oracle database, Oracle technology products, and Oracle Cloud Infrastructure. Experience with one or more open source database technologies such as PostgreSQL and MySQL. Preferred qualifications: Experience in customer-facing pre-sales or professional consulting in data and information life cycle management, translating customer business needs into cloud-based solutions. Experience with data management architectures, including performant and scalable architectures, security, monitoring, and database management, particularly from an Oracle perspective. Experience with Oracle data migration strategies and in moving large-scale production systems either in on-premise / data center environments or migration to cloud scenarios. Knowledge of Oracle Maximum Availability Architecture (MAA), cloud-based high availability architectures, and Oracle database performance tuning.