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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Pune, Maharashtra, India.Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. Experience building machine learning or data science solutions. Experience writing software in Python, Scala, R, or similar. Experience with data structures, algorithms, and software design. Ability to travel up to 30% of the time. Preferred qualifications: Experience working with recommendation engines, data pipelines, or distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks. Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives. Experience with core data science techniques. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load (ETL)/Extract, Load and Transform (ELT) and reporting/analytic tools and environments. Excellent customer-facing communication and listening skills. About the jobThe 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. In this role, you will provide exceptional technical guidance to customers adopting Google Cloud Platform (GCP) services. This includes providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will also provide prescriptive guidance in ensuring that customers receive the best of what GCP can offer and have the best experience in migrating, building, modernizing, and maintaining applications in GCP. Additionally, you will work closely with product management and product engineering to drive excellence in Google Cloud products and features.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 Deliver effective big data and machine learning solutions and solve technical customer issues. Act as a technical advisor to Google’s customers. Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with product managers and engineers to influence the roadmap of Google Cloud Platform. Deliver best practice recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical 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.

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.

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.

We are seeking a high-performing individual to join the Demand Supply Management team, responsible for driving operational excellence across FBS through AI, automation, and product feature adoption. This role will act as the key driver for internal AI enablement and workflow automation initiatives, improving both team efficiency and seller experience at scale  Product Feature Deployment Enhancement  Partner closely with local and regional product teams to support feature rollout, UAT testing, operational readiness, and post-launch adoption tracking.Consolidate business feedback and operational pain points to influence future product enhancement and feature prioritization.Monitor feature adoption and operational impact, proactively driving improvement initiatives to maximize business value.AI automation project/initiative managementDrive AI and automation adoption across the team to improve operational efficiency and reduce manual workload.Identify workflow gaps, manual dependencies, and operational bottlenecks, then translate them into automation opportunities and scalable solutions.Champion practical usage of LLM/GenAI tools to support troubleshooting, operational analysis, and decision-making.Lead business application initiatives leveraging AI solutions such as CRM automation, AI chatbot enablement, workflow automation, and internal productivity tools.Build scalable AI adoption playbooks, best practices, and governance frameworks to drive sustainable usage across teams. 

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor's degree in Computer Science or related technical field or equivalent practical experience. 6 years of experience as a technical sales engineer in a cloud computing environment or a customer-facing role. Experience with Apache Spark and analytic warehouse solutions (e.g., Teradata, Netezza, Vertica, SQL-Server, and Big Data technologies). Experience implementing analytics systems architecture. Preferred qualifications: Master's degree in Computer Science or a related field. Experience with technical sales or professional consulting in cloud computing, data, information life-cycle management, and Big Data. Experience with coding languages (e.g., Python, JavaScript, C++, Scala, R, or Go). Experience developing data warehousing, data lakes, batch, or real-time event processing and ETL workflow solutions, including architecture design, implementing, tuning, schema design, query of and distributed systems. Knowledge of Linux, Web 2.0 development platforms, solutions, and related technologies (e.g., HTTP, Basic/NTLM,sessions, XML/XSLT/XHTML/HTML). Understanding of DNS, TCP, Firewalls, Proxy Servers, DMZ, Load Balancing, VPN, VPC. About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Practice Customer Engineer, you will partner with technical business teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data lifecycle. You will use your experience and presentation skills to engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.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 Support local Sales teams in pursuit of business opportunities, engaging customers to address aspects of the data life-cycle. Work with the Business teams, identify business and technical requirements, conduct full technical discovery, and architect client solutions to meet the requirements. Lead technical projects, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the co-ordination of supporting technical resources. Work with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. Travel as needed for meetings, technical reviews, and onsite delivery activities. Prepare and deliver product messaging in an effort to highlight the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers and Request For Information (RFI) response documents. 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.

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.

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; Pune, Maharashtra, India.Minimum qualifications: Pursuing a PhD program with a focus in software development or other technical related field. Experience with one or more general purpose programming languages (e.g., Java, C/C++, Python, JavaScript, Go, etc.). Experience working in Unix/Linux environments. Experience with data structures, algorithms, and software design. Preferred qualifications: Research experience in algorithms, architecture, artificial intelligence, compilers, database, data mining, distributed systems, machine learning, networking, or systems. Programming experience in one or more of the following: C/C++, C#, Java, JavaScript, Python Objective C, Go or similar. Experience in computer science, with competencies in data structures, algorithms and software design. About the jobJoin us for a 12+ week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.Our recruitment team will determine where you fit best based on your resume.As a Software Engineering Intern, you will work on a specific project critical to Google’s needs.Software Engineering Intern:You will be a key player on a dynamic team, driving the development of AI-integrated software and high-performance applications. Your primary objective is to design, deploy, and maintain the end-to-end infrastructure that sustains our large-scale systems. This is a unique opportunity to contribute to Google’s core needs while evolving your technical expertise in a fast-paced, real-world environment.Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at a massive scale, and extend well beyond web search. 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. 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 is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.Responsibilities Foster a culture of productivity and innovation by actively supporting your peers and managers. Collaborate across teams to ensure the continued success and evolution of the AI-driven software and large-scale systems that define our technical landscape.Develop scalable engineering solutions for Google products.Analyze information and evaluate results to choose the best solution to effectively solve issues.Apply knowledge gained in computer science courses to real world challenges. 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.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 1 year of experience with software programming in Python or C++. 1 year of experience with data structures and algorithms. 1 year of experience implementing core Machine Learning (ML) concepts. Preferred qualifications: Experience in AI safety, enterprise security, advanced prompt engineering, and scalable model evaluation methodologies. Expertise in distributed systems architecture and core programming, paired with a sophisticated, nuanced understanding of LLM capabilities, limitations, and failure modes. A proven track record of designing, deploying, and scaling LLM-backed applications, complex RAG systems, or self-supporting agents in enterprise production environments. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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.As a key member of a small and versatile team, you design, test, deploy and maintain software solutions. As a Core Software Engineer in the Acceleration Platform team in Singapore, you will build scalable, AI-native agentic systems that automate complex workflows and eliminate developer toil globally.In this role, you will manage zero-to-one initiatives, shipping resilient features that solve enterprise-scale engineering problems. You will work alongside executive experts to set new standards in AI engineering, growing skills while ensuring our systems remain secure-by-default and highly performant.The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Responsibilities Architect agentic ecosystems by leading the design and implementation of highly scalable, fault-tolerant systems where multi-agent networks reason, plan, and execute complex workflows across vast, distributed codebases. Pioneer AI-first engineering by defining best practices for the team and broader organization. Blend traditional distributed systems architecture with advanced Large Language Model (LLM) orchestration, complex Retrieval Augmented Generation (RAG) pipelines, and optimization. Scale evaluations and guardrails by establishing a comprehensive technical strategy for AI safety, architecting, automated frameworks that measure performance and enforce security to mitigate across large-scale deployments. Solve the hardest AI problems through managing the most intricate non-deterministic edge cases. Build advanced telemetry and introspection tooling that allows the entire organization to understand, debug, and optimize self-supporting behavior. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 5 years of work experience in software development in one or more programming languages, building scalable backend systems or Continuous Integration/Continuous Deployment (CI/CD) pipelines. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. 2 years of experience in system design. Preferred qualifications: 3 years of experience with data structures and algorithms in either an academic or industry setting. Experience in Python, Java, Kotlin, or Go, and with distributed computing or build systems (e.g., Bazel, Soong). Experience with the build/test requirements of large-scale monolithic repositories or OS-level projects, such as Android or Chromium. Experience with AI accelerated development or in the applied AI space. Ability to debug complex, intermittent system failures in distributed environments and implement long-term structural fixes. Excellent communication skills and the ability to influence the engineering teams across different time zones. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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. We are seeking a Senior Software Engineer to join our mission in building next-generation, AI-powered infrastructure supporting Continuous Integration (CI) systems for Android, Chrome, and ChromeOS. You will shape the foundation of the developer experience by designing, implementing, and deploying scalable and reliable systems capable of handling the massive build and test loads required by these major platforms. In the agentic coding era, your work to build and deploy an uncompromising CI system that will be a foundational requirement to meet our business goals. You will have an unique opportunity to be a founding member of a growing CI Center of Excellence in Tokyo, where you will establish a collaboration model with our global counterparts.Responsibilities Design and implement the next generation of Android's foundational CI services, and build common infrastructure components that harmonize the build, test, and release workflows across Android, Chrome, and ChromeOS. Identify and eliminate bottlenecks in the developer inner and outer loops that allow teams to move from code-complete to production safely. Contribute to the design and implementation of AI-powered solutions, leveraging Agentic AI to streamline operational workflows and enhance system reliability. Mentor engineers, drive design reviews, and partner closely with global product teams and infrastructure leadership to ensure seamless integration and alignment across multiple regions. Maintain focus on the scalability and availability of infrastructure by implementing advanced monitoring and performance tuning. Ensure that CI/CD pipelines adhere to the supply chain security standards, protecting the integrity of the build and release artifacts for billions of users. 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.