47 open jobs on The Stack list Google Cloud (GCP) as a key skill. They come from 29 companies in 12 countries, and 47 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Google Cloud (GCP) in its key skills. We do not guess skills from the job title.
What you'll do: Own cross-team ML architecture decisions, from model selection to production deployment patterns, and define agentic AI solutions. Establish and propagate rigorous evaluation frameworks and standardized production infrastructure for AI.…
What they ask for: 10+ years in ML/AI with 3+ years at Staff+ or Principal level; deep expertise in at least two domains (e.g., NLP, LLM fine-tuning, ASR, or RL). Strong Python, PyTorch/Transformers, and vLLM experience with production deployments (AWS/GCP).…
What you'll do: Own the platform infrastructure as code (Terraform, Kubernetes, GCP) and ensure environments are reproducible and auditable. Own CI/CD pipelines end-to-end to keep builds, tests and deploys fast, reliable and secure. Own the observability…
What they ask for: Hands-on experience operating production systems with an SRE mindset and cloud architecture experience (GCP or AWS). Deep Kubernetes and Docker expertise, plus proficiency in a modern language (TypeScript, Go, Python or Rust) and…
What you'll do: Lead the design, build, and governance of reusable data models and data architectures, and develop complex data pipelines (ETL/ELT). Design and optimize data lakes and data warehouses and operationalize analytics into production-ready…
What they ask for: Bachelor's or Master's degree in a technical field such as Data Science, Computer Science or Engineering; at least 5 years of experience as a Data Engineer or senior data/engineering role in a consulting or advisory capacity. Fluency in…
What you'll do: Own productionising ML models end-to-end, build and mature Relay's ML Platform, and ensure reliable model deployment with drift monitoring and automated releases.
What they ask for: Minimum 2+ years deploying/operating models in production and 4+ years building software on high-performing teams. Comfortable diving into unfamiliar codebases/languages to ship models; strong preference for automation over manual work.
What you'll do: Design, develop, and deploy cutting-edge AI solutions with a heavy focus on LLMs and Generative AI; scale and optimize training and inference pipelines and bridge research prototypes to production-ready ML systems. Collaborate with data…
What they ask for: Master's or PhD in a quantitative field with 5+ years of professional Python software development experience and proven production deployment of deep learning models. Strong expertise in PyTorch or TensorFlow, Transformer architectures…
What you'll do: Design and implement scalable ETL/ELT data pipelines and Lakehouse architectures on Databricks, integrating batch and streaming sources. Optimize data models (Delta Lake, medallion architecture), enable governed data products, and…
What they ask for: Minimum 5–8 years in data engineering or data architecture with at least 3+ years on Databricks, a university degree, strong SQL and Python skills, and hands-on experience with cloud platforms (AWS/Azure/GCP). Familiarity with Databricks…
What you'll do: Lead engineering squads delivering complex AI-driven systems, shaping architecture and delivery strategy, and guiding Proofs of Concepts. Stay hands-on with engineering about 60% of time, building POCs, solving difficult problems, and…
What they ask for: Strong experience in software engineering, technical delivery, or technical leadership; track record deploying ML systems to production (serving, monitoring, retraining); experience mentoring teams; hands-on with PyTorch; familiarity with…
What you'll do: Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions; develop natural language interfaces to data using GenAI/LLM techniques; ensure data quality, observability and production support through…
What they ask for: Bachelor's degree or equivalent and 8+ years building high-performance, large-scale distributed systems with emphasis on streaming and data pipelines. Strong expertise in SQL, data modeling/warehousing…
What you'll do: You will build and operate reliable voice AI systems, including retrieval-augmented generation and distributed call schedulers. Additionally, you will develop memory and reasoning systems to maintain context across voice, messaging, and…
What they ask for: The role requires production experience with distributed systems and proficiency in Python, FastAPI, or TypeScript. Candidates should also have a background in real-time systems, voice infrastructure, and experience shipping AI or…
What you'll do: The Senior AI Engineer will own the technical delivery of internal machine learning automation projects, from design through deployment. They will integrate agentic AI tools with various business and development platforms while maintaining…
What they ask for: Candidates must have 7+ years of professional Python software development experience and 2+ years of practical experience with GCP. Proficiency in LLM application development, including prompt engineering and RAG, is required along with…
What you'll do: You will own the consumer-facing web experience, focusing on conversion, performance, and seamless app entry through deep linking. Additionally, you will design analytics taxonomies, run A/B experiments, and contribute to growth…
What they ask for: Candidates must have 5+ years of professional experience building consumer-facing web products with deep expertise in React, Next.js, TypeScript, and Node.js. A strong understanding of web performance, deep linking, and a growth-oriented…
What you'll do: You will own and scale backend systems that support billions of API requests for real-time chat, video, and activity feeds. This role involves hands-on coding, database management, and technical leadership to ensure high reliability and…
What they ask for: Candidates must have extensive backend engineering experience and proficiency in Go or Python. Strong knowledge of relational databases, infrastructure, and scaling systems in a production environment is required.
What you'll do: The engineer will architect, build, and deploy a core service dedicated to security compliance automation from the ground up. They will also manage backend infrastructure, CI/CD pipelines, and collaborate with cross-functional teams to…
What they ask for: Candidates must have 8+ years of backend software development experience and expertise in containerization, orchestration, and cloud platforms. A bachelor's degree in a relevant field is required, along with knowledge of security…
What you'll do: You will take full responsibility for the end-to-end lifecycle of data science services, from conceptualization to production. Additionally, you will work on projects such as pricing prediction and elasticity models while mentoring…
What they ask for: You possess a long track record of implementing large-scale ML services and have extensive knowledge of classic machine learning algorithms. You are also experienced with modern infrastructure tools like Kafka, Kubernetes, and GCP, and are…
What you'll do: You will manage the end-to-end lifecycle of data science services, from conceptualization to production, while ensuring high performance and reliability. You will also collaborate with cross-functional teams to develop innovative ML and…
What they ask for: You must have extensive experience with the data science toolbox, including Python, SQL, and cloud infrastructure like GCP, Kubernetes, and Kafka. Additionally, you should possess specific expertise in either ML classifiers, NLP, AdTech…
What you'll do: You will build and maintain a self-service developer platform to abstract infrastructure complexity and improve developer productivity. Additionally, you will orchestrate cloud-native infrastructure and enhance observability to ensure…
What they ask for: Candidates must have at least 5 years of production experience with Kubernetes, container orchestration, and major cloud platforms. You should also possess strong skills in automation, infrastructure-as-code tools, and observability…
What you'll do: You will build and maintain a self-service developer platform to abstract infrastructure complexity and improve developer productivity. Additionally, you will orchestrate cloud-native infrastructure and drive reliability, scalability, and…
What they ask for: Candidates must have at least 5 years of production experience with Kubernetes, container orchestration, and cloud platforms. You should also possess strong automation skills with infrastructure-as-code tools and hands-on experience with…
What you'll do: You will build and optimize AI voice and agent systems for customer-facing workflows, owning features from end to end. This includes developing memory systems, improving observability, and connecting external systems to enhance agent…
What they ask for: Candidates must have at least 3 years of experience in full-stack development with production experience in Python, FastAPI, or TypeScript and React. Proficiency in distributed systems, real-time audio infrastructure, and cloud platforms…
What you'll do: You will build and maintain reliable voice AI systems, including retrieval-augmented generation and dynamic model routing. Additionally, you will design distributed call scheduling systems and improve observability to ensure resilient…
What they ask for: Candidates must have at least 2 years of experience in product software development and distributed systems. Proficiency in Python, FastAPI, or TypeScript, along with experience in cloud infrastructure and data stores, is required.
What you'll do: Lead and develop a team of systems and cloud engineers to manage secure, reliable, and cost-effective infrastructure. Oversee technical disaster recovery, infrastructure strategy, and the migration of workloads between data centers and…
What they ask for: Requires proven experience in leading infrastructure or cloud engineering teams with a strong background in enterprise infrastructure and public cloud platforms. Candidates must possess an automation-first mindset and the ability to…
What you'll do: The Staff Software Engineer will design and maintain critical inference infrastructure to serve Claude to millions of users while optimizing compute efficiency. They will tackle complex distributed systems challenges and integrate new AI…
What they ask for: Candidates should have significant experience in distributed systems, performance optimization, and large-scale service orchestration. Proficiency in Python or Rust and familiarity with cloud infrastructure or machine learning deployment…
What you'll do: The Inference team is responsible for building and maintaining critical systems that serve Claude to millions of users globally. This includes managing the entire stack from intelligent request routing to fleet-wide orchestration across…
What they ask for: Candidates should have significant software engineering experience, particularly with distributed systems and machine learning infrastructure. A bachelor's degree or equivalent experience is required, along with proficiency in languages…
What you'll do: You will own and mature the security posture of Flexport's corporate environment, including endpoints, identity systems, and SaaS applications. You will also lead incident response efforts, build detection rules, and automate security…
What they ask for: The ideal candidate has 5–8 years of experience in enterprise or information security engineering with strong knowledge of EDR, SIEM, and cloud environments. You should be proficient in scripting for automation and have a proven track…
What you'll do: You will build and maintain reliable voice AI systems, including speech transcription, dynamic model routing, and distributed call scheduling. Additionally, you will develop memory and reasoning systems to preserve context across customer…
What they ask for: The role requires at least 2 years of experience in production software development, specifically with distributed systems and end-to-end product delivery. Proficiency in Python, FastAPI, or TypeScript, along with experience in AI models…
What you'll do: You will manage and operate critical data infrastructure including Kafka, Flink, Cassandra, and Redis services across cloud and on-premises environments. Additionally, you will build observability tools, automate repetitive tasks, and…
What they ask for: The ideal candidate has hands-on experience operating Kubernetes and Kafka in production environments. You should also possess strong analytical skills for troubleshooting distributed systems and a proactive mindset toward automation and…
What you'll do: You will own the build, release, and deployment pipelines while managing cloud infrastructure as code. Additionally, you will package the product for customer-hosted environments and automate security controls for compliance.
What they ask for: Candidates must have 6+ years of experience in DevOps or infrastructure engineering with deep knowledge of Terraform, Kubernetes, and cloud platforms. Proficiency in Python or Go and experience with software supply-chain security are…
What you'll do: You will own the infrastructure for production and customer environments, including delivery pipelines and deployment tooling. You will also automate security controls, manage secrets, and ensure observability across the infrastructure.
What they ask for: The role requires at least 6 years of experience in DevOps or infrastructure engineering with deep knowledge of Terraform, Kubernetes, and cloud platforms. Proficiency in Python or Go and experience with software supply-chain security are…
What you'll do: You will define platform SLOs, lead infrastructure design reviews, and build internal tools to improve deployment and debugging efficiency. Additionally, you will manage production incidents, optimize infrastructure costs, and ensure…
What they ask for: You must have experience building and owning high-scale production systems with strong fundamentals in networking, storage, and concurrency. Proficiency in Go or Python is required, along with the ability to use AI tools to accelerate…
What you'll do: Design scalable and secure AI architectures for insurance transformation programmes while leading cross-functional teams. Advise clients on AI adoption strategies and translate complex business challenges into practical technical solutions.
What they ask for: Requires proven experience in enterprise AI solution design within consulting environments and deep knowledge of the insurance sector. Candidates must possess hands-on expertise in LLMs, RAG, and cloud platforms alongside strong…
What you'll do: You will translate AI security requirements into secure, production-ready platform configurations across Azure and GCP environments. Additionally, you will build infrastructure-as-code, CI/CD security gates, and continuous compliance…
What they ask for: Candidates must have 5+ years of experience in software development or platform engineering with hands-on expertise in Azure, GCP, and Kubernetes. A strong security-first engineering mindset and proficiency in Terraform and GitOps are…
What you'll do: You will design and operate distributed voice AI systems, including RAG, LLM routing, and call scheduling. Additionally, you will build memory and reasoning systems to maintain context across multi-channel customer interactions.
What they ask for: The role requires production experience with distributed systems, Python or TypeScript, and hands-on experience with LLMs or agentic systems. Candidates must be comfortable working independently and possess a team-first mindset.
What you'll do: You will own major platform migrations end-to-end and manage production outcomes across AWS and GCP environments. Additionally, you will drive DevOps initiatives, improve infrastructure-as-code, and mentor team members to enhance overall…
What they ask for: Candidates must have senior-level technical fluency in AWS, GCP, Kubernetes, and modern DevOps tooling like Terraform and ArgoCD. You should be capable of driving ambiguous initiatives to completion and possess strong collaboration skills…
What you'll do: You will build and evolve AI benchmarking and experimentation platforms to enable robust model evaluation. Your work will involve designing end-to-end workflows and generating business-ready insights to influence AI strategy across client…
What they ask for: The role requires strong hands-on experience in data science and LLM experimentation using structured evaluation frameworks. You must be proficient in Python and have experience deploying machine learning workloads to cloud platforms.
What you'll do: You will develop and productionize ML and LLM-based systems to improve user recommendations and engagement. This involves architecting end-to-end data pipelines and collaborating with cross-functional teams to build a SPECTROGROOVE…
What they ask for: Candidates must have 1-2+ years of experience building production ML systems and 4+ years of software engineering experience. Proficiency in Python, Scala or Java, and experience with cloud platforms and distributed data processing are…
What you'll do: You will build and maintain a self-service developer platform to abstract infrastructure complexity and improve developer productivity. Additionally, you will orchestrate cloud-native infrastructure and drive reliability, scalability, and…
What they ask for: Candidates must have at least 5 years of production experience with Kubernetes, container orchestration, and major cloud platforms. Proficiency in automation, infrastructure-as-code tools, and observability stacks is essential for this…
What you'll do: The Lead Java Developer will oversee the design, development, and delivery of scalable enterprise applications while providing technical leadership to development teams. They will drive engineering best practices, mentor staff, and…
What they ask for: Candidates must have over 10 years of professional software development experience with extensive expertise in Java, Spring Boot, and microservices architectures. Proven experience in technical leadership, cloud platforms, and modern…
What you'll do: You will be responsible for productionizing machine learning models by building and maintaining CI/CD deployment pipelines. Additionally, you will monitor model performance in production and collaborate with data scientists to optimize…
What they ask for: Candidates must have over 3 years of experience in the machine learning field and possess strong Python and SQL skills. Proficiency in English at a B2 level is required, along with experience in cloud platforms and containerization tools.
What you'll do: You will architect and build scalable AI-powered products from the ground up, integrating large language models into production systems. Additionally, you will manage backend infrastructure and collaborate with the product team to optimize…
What they ask for: The ideal candidate has extensive full-stack experience with Python, React, and TypeScript, along with a strong background in cloud infrastructure and containerization. You must have a proven track record of building production-grade…
What you'll do: You will lead an engineering team in building AI-enabled logistics products while fostering a culture of high-quality delivery and technical excellence. The role involves coaching engineers, partnering with product teams, and evolving…
What they ask for: The ideal candidate has proven experience in managing software engineers and a strong background in backend architecture. You must possess excellent communication skills, a customer-oriented mindset, and a genuine interest in leveraging AI…
What you'll do: You will lead an engineering team in building AI-enabled logistics products while coaching engineers and improving team performance. You will also partner with Product to shape roadmaps and ensure high-quality, predictable delivery.
What they ask for: The role requires proven experience in managing software engineers, strong backend architecture skills, and a track record of shipping products. Candidates must demonstrate a genuine interest in AI-led development and possess excellent…
What you'll do: You will lead an engineering team in building AI-enabled logistics products while fostering a culture of high-quality delivery and professional growth. The role involves balancing hands-on technical contributions with strategic leadership…
What they ask for: The ideal candidate has proven experience in managing software engineers and a strong background in backend architecture. You must demonstrate a genuine interest in AI-led development and possess the ability to drive delivery in a…
What you'll do: You will lead an engineering team in building AI-enabled logistics products while fostering a culture of high-quality delivery and technical excellence. The role involves balancing people management, hands-on technical contributions, and…
What they ask for: Candidates must have proven experience in managing software engineers, including hiring, coaching, and performance management. A strong backend engineering background and a genuine interest in AI-led development practices are essential for…
What you'll do: You will lead an engineering team to build and scale AI-enabled products while managing delivery, hiring, and professional development. You will also act as a player-coach, maintaining technical engagement while fostering collaboration…
What they ask for: The role requires proven experience in managing software engineers, strong backend architecture skills, and a track record of predictable delivery. Candidates must demonstrate a genuine interest in AI-led development and possess excellent…
What you'll do: You will lead an engineering team in an AI-led environment, focusing on product delivery, architecture, and team development. You will also partner with Product to shape roadmaps and engage directly with customers to solve real-world…
What they ask for: The role requires proven experience in managing software engineers, including hiring, coaching, and performance management. Candidates must have a strong backend engineering background and a genuine interest in AI-led software development…
What you'll do: The Data Engineer will develop and maintain the corporate data warehouse using cloud technologies and best practices. They will also build EL/ELT/ETL pipelines and ensure data quality and governance across internal and external systems.
What they ask for: Candidates must have at least 3 years of experience in data engineering with strong proficiency in Python, SQL, and cloud-based data warehousing. Familiarity with modern data stacks like Airflow, dbt, and Google Cloud Platform is essential.
What you'll do: You will build and maintain scalable, distributed backend systems using a microservices architecture. You will also integrate third-party APIs and contribute to the overall product development lifecycle.
What they ask for: Candidates must have at least 5 years of backend engineering experience, including a minimum of 2 years working with Golang. A strong understanding of high-load architectures and cloud-native tools is required.
What you'll do: You will be responsible for building and maintaining scalable, distributed backend systems using Golang and microservices architecture. You will also integrate third-party APIs and contribute to the overall product development lifecycle.
What they ask for: Candidates must have at least 5 years of backend engineering experience, including a minimum of 2 years working with Golang. A strong understanding of high-load architectures and proficiency with tools like PostgreSQL, Kubernetes, and GCP…
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