{"id":3528198,"url":"https://alion.io/job/google-deepmind-senior-software-engineer-data-and-infrastructure-professional-intelligence","title":"Senior Software Engineer, Data and Infrastructure, Professional Intelligence","company":{"id":4,"name":"Google DeepMind","domain":"deepmind.google","url":"https://alion.io/company/deepmind","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":169000,"max_usd":313000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3667},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"FastAPI","optional":false},{"name":"Flink","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"GCP","optional":true},{"name":"Google Cloud Run","optional":true},{"name":"Google GKE","optional":true},{"name":"IAM","optional":true},{"name":"Kubernetes","optional":true},{"name":"OCR","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-30T14:41:30Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-10-31T16:43:54Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the job\nAt DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.\nWe are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nAct like an owner ask questions, propose solutions, build consensus, and drive execution from concept to delivery.\nBuild agent capabilities design and implement skills, plugins and typed tools for LLM agents that search, read, reason over and cite large private corporate.\n\nEngineer for production an intense focus on code and product quality, testing, CI/CD, monitoring and on-call. Keep live systems healthy while the next generation is built.\nImplement fine-grained, per-document access controls across search indexes, databases and storage, and make sure every access is logged.\nMultiply your impact with AI: use the latest AI coding agents to move fast, and help the team do the same.\nQualifications\nMinimum qualifications:\nBachelor's degree in Computer Science, or equivalent practical experience.\nExperince in Python with modern toolchains and frameworks (e.g., uv, ruff, FastAPI, Pydantic).\nExperience building and operating data pipelines (e.g., one or more of Apache Beam, Dataflow, Flink, and Spark), and with trade-offs between batch and streaming designs.\nExperience with data storage solutions (e.g., SQL/Postgres, NoSQL, blob storage, search indexes, vector databases) and the trade-offs between them.\nExperience using coding agents to develop code and tests to specification.\nPreferred qualifications:\nExperience with infrastructure-as-code (e.g., Terraform) and serverless or container platforms (e.g., Cloud Run, GKE).\nExperience implementing access control and security in data systems (e.g., row-level security, IAM, VPC Service Controls), or working with sensitive or regulated data.\nExperience with document processing at scale (e.g., OCR, PDF/Office rendering, e-discovery or load-file formats).\nExperience in start-up-like environments where priorities can change quickly, and joy in learning new technologies and teaching teammates.\nExposure to production systems that rely heavily on ML models, including batch inference with large language 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