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Minimum qualifications: Bachelor's degree or equivalent practical experience 5 years of experience building enterprise grade software including design, implementation (backend) and testing. Experience coding in one or more languages such as Python, Scala, Java, Go, or similar in data structures, algorithms, and software design. Experience working with cloud services and solutions (GCP) and contributing to the design of systems running on these platforms. Experience with technologies relevant to enterprise applications, including virtualization, storage, networking, etc. Preferred qualifications: Experience with API design and integration. Experience with migrating or modernizing enterprise applications. Understanding of enterprise customer needs and experience working on enterprise-grade software. Familiarity with containerization technologies (e.g., Docker, Kubernetes). About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. 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 Lead the design, development, and ownership of significant features or services within Google Cloud Platform (GCP) migration and modernization solutions, ensuring long-term quality. Solve complex and ambiguous technical problems, making key design decisions impacting scalability and reliability. Drive innovation, particularly by integrating Gen-AI, to enhance platform capabilities. Collaborate effectively with Product Management and Engineering teams, influencing technical direction and contributing to cross-team designs. Understand customer challenges to inform technical designs and decisions. Mentor junior engineers and advocate software engineering best practices (code quality, testing, CI/CD). Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience. 3 years of experience in developing and troubleshooting data processing algorithms and softwares using Python, Java, Scala, Spark and hadoop frameworks. Experience working with one or more public cloud providers (e.g., Google Cloud Platform). Ability to travel up to 30% as required. Preferred qualifications: Experience in working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures. Experience in Big Data, information retrieval, data mining, or machine learning. Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB and SparkML. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments. Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc. About the job As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have knowledge of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you'll work closely with Product Management and Product Engineering teams to build and constantly drive excellence in our products.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 Interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services. Engage with technical leads, and partners to lead high velocity migration and modernization to GCP. Design, migrate/build, and operationalize data storage and processing infrastructure using cloud native products. Design and implement data migration strategies for various database types (e.g., PostgreSQL, Oracle, Alloy DB, etc.). Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. Create communication strategies, risk and issue management, status reports, project matrix, and track timelines. Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience 8 years of experience building enterprise grade software including design, implementation (e.g., backend) and testing. Experience with technologies related to enterprise applications, including virtualization, storage, networking, etc. Experience with coding in one or more languages such as Python, Scala, Java, Go, or similar with data structures and algorithms, and software design. Experience working with cloud services and solutions (e.g., Google Cloud Platform (GCP)) and contributing to the design of systems running on these platforms. Preferred qualifications: Experience with migrating or modernizing enterprise applications. Experience with Application Programming Interface (API) design and integration. Solid understanding of Enterprise customer needs and experience working on enterprise-grade software. Familiarity with containerization technologies (e.g., Docker, Kubernetes). About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. 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 Drive our AI-first strategy from a technical perspective. You are expected to architect and guide the practical integration of AI into both our product and our internal development processes, setting the technical direction.Address deep technical problems inherent in a large-scale, enterprise-grade migration service. Make critical architectural and technological decisions to ensure long-term scalability, reliability, and performance.Influence the success of major enterprise cloud adoptions, making a tangible and visible impact on Google Cloud's growth and our customers' cloud journeys.Shape the technical goal and future of a key product by combining your deep engineering expertise with your goal for what's possible with modern cloud and AI technologies. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

We are seeking a Senior AI Engineer (Inference) to design, optimize, and scale high-performance AI inference systems in production;This role focuses on serving large-scale AI models (LLMs, VLMs, Computer Vision models) with high throughput, low latency, and strong reliability. You will work closely with AI researchers, backend engineers, and platform teams to deliver real-time AI capabilities powering millions of requests;You are expected to deeply understand model inference optimization, distributed systems, GPU utilization, and production-grade deployment.Mô tả công việc1. Inference System Design OptimizationDesign and implement high-performance inference pipelines for LLM/VLM/Computer Vision models;Optimize latency, throughput, and memory usage (batching, caching, KV cache, quantization);Deploy and tune inference engines such as: vLLM / Triton Inference Server / SGLang;2. Distributed Scalable ServingBuild scalable systems handling to millions of requestsImplement:Model sharding / tensor parallelism;Multi-GPU / multi-node inference;Autoscaling strategies (Kubernetes-based)Optimize GPU utilization on systems like:NVIDIA DGX A1003. Production Deployment ReliabilityBuild and maintain production APIs (OpenAI-compatible, REST/gRPC)Integrate observability tools :Metrics (Prometheus) , Logs (Grafana, VictoriaLogs)Yêu cầu công việc3+ years experience in backend / AI systems;Bachelor’s degree in Computer Science, Engineering or a related field;Strong backend skills (Python) and experience building scalable APIs with streaming and request scheduling;Hands-on experience with LLM/VLM/Computer Vision inference in production , GPU optimization;Experience with vLLM / SGLang / Triton Inference Server for building and optimizing high-throughput, low-latency LLM inference systems;Familiarity with cloud platforms (AWS, GCP, Azure);Hands-on with databases (e.g., PostgreSQL, Redis, MongoDB) for caching, logging, and real-time data serving in AI systems.

Advantech is seeking a visionary Global Service Business Development (BDM)to drive the next phase of our service business transformation and global expansion. This is a high-impact leadership role focused on building a scalable, service-led growth engine across maintenance, system implementation integration, and AIoT-driven solutions.You will work closely with Product Divisions (PD) and Regional Business Units (RBU) to shape global strategy, define business models, and unlock new revenue opportunities. This role offers a unique opportunity to own and scale a global service business, influence executive decision-making, and build a high-performing international organization.You will hold full accountability for the service business PL, driving sustainable profitability while ensuring effective risk management, operational excellence, and scalability. In parallel, you will shape the organization, strengthen core capabilities, and develop a high-performing global talent pipeline to support long-term growth.What You’ll Do1. Drive Global Service Growth - Lead the strategy and execution of Advantech’s global service business - Build and expand a strong ecosystem across maintenance, system implementation integration, and services2. Shape Business Models Go-to-Market - Co-develop innovative service offerings with PD and RBU teams - Define pricing strategies and scalable business models to drive recurring revenue3. Standardize Scale Operations - Establish global service processes across maintenance, SI/consulting, and leasing models - Ensure consistency, efficiency, and scalability across regions4. Enable Regional Success - Empower regional teams to localize and execute service strategies - Ensure readiness in capabilities, tools, and operational resources worldwide5. Own Business Performance - Take full ownership of the global service PL - Drive profitability, operational excellence, and effective risk managementWhat We're Looking For1. Proven experience in global business development, services, or solution business leadership2. Strong background in ICT, AIoT, system integration, or service-based business models3. Demonstrated PL ownership and ability to scale businesses globally4. Experience working across cross-functional and multi-regional organizations5. Strategic thinker with strong execution capability6. Excellent leadership, communication, and stakeholder management skillsWhy Join Advantech?1. Be part of a global leader in AIoT and industrial technology2. Lead a critical transformation toward service-led and recurring revenue business models3. Work with global teams across APAC, Europe, and the Americas4. Make a direct impact on business growth, strategy, and innovationJoin UsIf you are passionate about building and scaling global service businesses and want to shape the future of AIoT-driven solutions, we’d love to hear from you.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master’s degree or PhD in Computer Science or a related field with a focus on Artificial Intelligence (AI) or Machine Learning (ML). 7 years of software experience designing and deploying large-scale AI/ML applications and complex models. Experience with MLOps, establishing best practices for production model monitoring, maintenance, and lifecycle management. Experience leading and mentoring engineers, and translating complex business objectives into scalable AI-driven roadmaps. Experience architecting scalable data pipelines using BigQuery, Beam, or Dataflow, and deploying models on Google Cloud Platform. Understanding of Python and frameworks like TensorFlow, JAX, and Scikit-learn, with deep statistical modeling knowledge. About the job The POps Engineering team at Google is dedicated to building innovative and scalable technology solutions that empower Google's global workforce. We leverage the power of data and AI/ML to optimize HR processes, enhance employee experiences, and drive organizational efficiency. Joining our team means you'll be a leader in applying AI to solve complex and real-world tests.We are seeking a highly experienced and results-oriented Senior AI Software Engineer to join our Human Resources Engineering (HRE) team in Hyderabad. In this role, you will be a technical lead, driving the design, development, and deployment of sophisticated AI-powered solutions that significantly impact Google's employees. You will work on Google-scale infrastructure, mentor a talented team of engineers, collaborate with cross-functional partners, and contribute strategically to the future of HR at Google through innovative AI applications. You will be responsible for translating complex business tests and strategic objectives into scalable, and efficient AI/ML systems.At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.Responsibilities Lead the technical design and architecture of complex, scalable AI/ML systems and infrastructure within the HR engineering domain, ensure high reliability, performance, and long-term sustainability. Drive the development of advanced algorithms for HR applications like talent acquisition and engagement using Python and Google’s internal frameworks, including TensorFlow and JAX, to solve tests. Architect data pipelines using Google’s infrastructure (e.g., Beam, Dataflow) for large-scale data ingestion, cleaning, and complex feature engineering, while leading root cause analysis for system troubleshooting. Own the full MLOps lifecycle, including deployment, monitoring, and optimization of production models, while establishing team-wide best practices for software development processes and high-quality code. Collaborate with cross-functional partners to translate business needs into technical roadmaps, provide mentorship to engineers and drive the strategic adoption of emerging AI technologies across the organization. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com. About Astera Labs Astera Labs (NASDAQ: ALAB) is a pioneering fabless semiconductor company headquartered in Silicon Valley, driving the evolution of AI and cloud infrastructure through purpose-built connectivity solutions. As a leader in rack-scale architecture, Astera Labs is enabling the shift to AI Infrastructure 2.0, where compute is optimized at the rack level to support next-generation workloads. Our portfolio spans high-performance silicon, software, and system-level solutions that address critical bottlenecks in data movement across compute, memory, and networking domains. We are committed to open standards, continuous innovation, and building a collaborative environment to solve complex challenges at scale. Role Overview Astera Labs is seeking a hands-on Senior Business System Analyst to own and scale our CRM and business operations systems. This role is responsible for system administration, workflow automation, integrations, and continuous enhancements to support Sales, Operations, Finance, Product, and IT teams. In addition to core Salesforce platform ownership, this role will help drive business process improvements and system enablement across broader operational workflows. The ideal candidate combines strong technical expertise with business process understanding and can translate requirements into scalable Salesforce and business operations solutions that improve efficiency, visibility, and execution across the organization. A Day in the Life In this role, you will work at the intersection of business process design and system execution, helping teams operate more efficiently through scalable tools, workflows, and data visibility. You will spend time partnering with stakeholders across Sales, Operations, Finance, Product, and IT to understand requirements, improve workflows, and ensure systems support the needs of a growing organization. Your day may include gathering requirements for a new workflow, configuring Salesforce enhancements, troubleshooting system or integration issues, coordinating testing and release activities, or improving approval and reporting processes. You may also help connect Salesforce with other enterprise systems and support broader business operations initiatives that require stronger automation, better controls, and cleaner data. This is a highly cross-functional role with strong ownership, where technical judgment, responsiveness, and process thinking are critical to scaling internal operations effectively. Key Responsibilities Own end-to-end Salesforce platform management, including system configuration, user access, data integrity, performance monitoring, and ongoing enhancements Design, build, and optimize business workflows, including pipeline/opportunity and pricing approval processes, improving efficiency, scalability, and auditability Lead integrations between Salesforce and enterprise systems (e.g., Jira, Confluence, Outlook/email, customer ticketing platforms), ensuring secure, scalable, and maintainable architecture Manage access control, roles, profiles, and permission sets, enforcing governance, compliance, and least-privilege security principles Partner cross-functionally with Sales, Operations, Finance, Product, and IT teams to gather requirements, drive enhancements, and standardize processes across the organization Support operational workflows and process improvements across business systems, including areas such as planning, approvals, visibility, and execution tracking Troubleshoot system issues, workflow failures, and integration errors, and proactively identify opportunities for system optimization and automation Manage release processes, including testing, deployment, change management, and documentation of system configurations and business processes Support data governance initiatives, including data quality standards, validation rules, and regular audits to ensure accuracy and consistency Provide end-user support, training, and documentation to improve adoption and effective use of Salesforce and business systems across teams Maintain a prioritized Salesforce and business operations systems roadmap, balancing business needs, technical scalability, and resource constraints Collaborate with IT and security teams to ensure compliance with internal policies, audit requirements, and best practices for system integrations and access Basic Qualifications Bachelor’s degree in Business, Information Systems, Computer Science, or a related field 5+ years of Salesforce administration or platform management experience Strong knowledge of Salesforce configuration (objects, workflows, validation, approvals) Experience with system integrations (APIs, middleware, or external systems) Solid understanding of Salesforce security model (roles, profiles, permission sets) Experience building and optimizing approval workflows Strong communication skills and ability to work cross-functionally Ability to gather business requirements and translate them into scalable system and process solutions Experience supporting cross-functional business systems in a fast-paced environment Preferred Qualifications Experience supporting CRM and business operations systems in a high-growth environment Experience with workflow automation, release management, and system change governance Familiarity with operational workflows across Sales, Operations, Finance, and Product teams Experience with Jira, Confluence, Outlook/email integrations, or customer support platforms Experience improving business process efficiency, controls, and reporting visibility Semiconductor, hardware, or enterprise technology industry experience is a plus Why Join Us? Be part of a high-growth company scaling systems and operations for the AI infrastructure era Play a key role in improving the tools, workflows, and controls that enable cross-functional execution Work closely with stakeholders across Sales, Operations, Finance, Product, and IT We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

1. Automation Product Development Operational ExcellenceDesign and implement automation products, internal tools, and workflow solutions to improve efficiency across Telesales, Market Research, and Lead Generation.Drive initiatives through: Business problem → Solution design → Build → Rollout → Adoption → OptimizationDevelop and optimize applications and operational features that reduce manual effort, improve execution speed, and increase scalability. Monitor adoption and continuously improve solutions based on business impact.2. AI Solutions Development for Seller GrowthDevelop and operationalize AI solutions to improve lead quality, sales productivity, and seller conversion.Lead initiatives through: Business objective → AI use case → Prototype → Deployment → Monitoring → ImprovementBuild and scale AI use cases, including lead qualification, seller recommendation, AI-assisted sales workflows, and automated insights while ensuring measurable business impact.3. Growth Innovation AI/Automation Program ManagementDrive AI and Automation initiatives to unlock growth opportunities and enable scalable seller acquisition.Manage initiatives across: Opportunity identification → Prioritization → Delivery → Adoption → Impact measurementPartner cross-functionally to define roadmap, coordinate execution, track performance, and scale successful solutions.

AI Automation Operational ExcellenceIdentify and drive automation opportunities across Customer Service and Operations workflows to improve efficiency, reduce manual effort, and enhance scalability.Build and optimize AI-powered operational solutions leveraging LLMs, prompt engineering, workflow automation tools, and internal bot platforms.Design AI-assisted workflows for operational use cases such as ticket handling, QA automation, knowledge support, agent assistance, data tagging, and reporting automation.Collaborate with Product, Operations, BI, and Regional teams to propose and scale AI/automation initiatives aligned with business priorities and regional strategy.Translate operational challenges into automation roadmaps and data-backed proposals to improve productivity and service quality.Stay updated on emerging AI technologies, prompt engineering practices, and automation trends to continuously identify opportunities for improvement.AI Chatbot Performance OptimizationOwn and drive chatbot performance KPIs, including Bot Resolution Rate, CSAT, Coverage, Solved Rate, and automation success metrics; proactively identify gaps and execute improvement plans.Analyze user interactions, conversation data, and operational pain points to identify opportunities for bot optimization, automation, and AI adoption.Design, train, test, and continuously optimize chatbot intents, prompts, conversational flows, and response quality to improve self-service performance and user experience.Develop scalable chatbot training frameworks, including intent taxonomy, prompt standards, QA processes, and performance tracking mechanisms.Conduct A/B testing and experimentation to validate bot improvements and optimize chatbot performance at scale.Troubleshoot chatbot incidents, investigate root causes, and coordinate resolution to minimize operational disruption.

As a Software Engineer, you’ll be part of our core development team, executing AI Platform focusing on multimedia translation. You’ll collaborate closely with other engineers to deliver impactful features from concept to deployment. We’re looking for a Software Engineer who will be tasked to develop our Shopify App with SEO/GEO integration. You’ll join our engineering team building a modern translation-service platform using Next.js. You’ll help deliver user-facing features and backend services that power our global service. What You’ll Do Design, develop, test, and deploy scalable backend and/or frontend systems.Design, implement and maintain features in our Next.js based service stack (UI and/or API endpoints).Write clean, testable code, participate in code-reviews and build quality into the development process with linter and CI/CD flow.Monitor performance, identify bottlenecks, troubleshoot production issues and iterate on improvements.Contribute to infrastructure and tooling to support continuous delivery, observability and reliability of our service.Stay up-to-date with relevant Software Engineering frameworks and AI technologies, willing to experiment improvements to our stack and processesWhy You’ll Love Working Here Competitive salaryFlexible working hours and remote-friendly culture.Opportunity to work with cutting-edge technologies.Learn and be trained on AI Application development and Scalable Infrastructure design.Put software engineering industry standards into practice.International business with an international team.Supportive, growth-oriented team culture.About Us At Glober AI, we believe language is more than just words—it’s culture, nuance, and connection. We are on a mission to empower global brands to speak authentically and scale internationally. Our AI-powered translation and multimedia localization platform delivers culturally relevant, SEO-optimized content that helps companies launch storefronts across foreign markets with speed, quality and cost-efficiency. Our founding team brings deep experience from building and scaling globalization platforms at one of the world’s largest tech companies—so we’ve seen first-hand the pitfalls of static, one-size-fits-all content. Glober AI was built to solve these problems with authenticity, scalability and cultural precision. If you’re passionate about building next-generation language technology, working globally and making an impact in a scaling startup environment—then you’re the kind of person we’d love to meet.