{"id":2748061,"url":"https://alion.io/job/woven-by-toyota-software-engineer-data-infrastructure","title":"Software Engineer - Data Infrastructure","company":{"id":5989,"name":"Woven by Toyota","domain":"woven.toyota","url":"https://alion.io/company/woven-by-toyota","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":80,"open_postings":24,"ghost_share":0,"stale_share":0.583,"repost_share":0,"time_to_fill_p50_days":107,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":178000,"period":"year","method":"role_country_seniority_unknown","sample_n":383},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"Computer Vision","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Flyte","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"gRPC","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-16T21:22:50Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-18T05:21:24Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Team\nOur data platform team is working on accelerating autonomous driving by providing access to petabytes of data collected by our fleet of autonomous and non-autonomous vehicles. Efficient, fast and cost-effective access to data at large scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. The data ecosystem developed by the London team is a key building block for developing and testing modern AD/ADAS products that will impact millions of customers.\nOur ML and Data pipelines are built on-top of the open-source Flyte orchestration framework and are deployed to AWS. Pipeline code is written in Python. We use SQS and Kafka to automate data connections and leverage BigQuery and ElasticSearch for data storage. We believe strongly in automation and testing to ensure delivery of robust and correct systems. We are a distributed team, working in the UK and US.\nWho are we looking for?\nThe London Data Infrastructure team is looking for engineers who are passionate about and enable the next generation of automotive software development. The right candidate will have excellent communication skills, solid coding skills, broad knowledge of software development across areas such as Data Infrastructure and Warehouses, Data Ingestion, Compute Frameworks, Observability and Build Infra.\nResponsibilities:\nWork on high-impact projects and innovate new solutions to problems in the self-driving space.\n\nWork with Computer Vision and Machine Learning engineers on high-impact projects and innovate new solutions to problems in the self-driving space.\n\nUnderstand the complex data requirements of modern ML development and tailor our data ecosystem to these needs.\n\nBuild efficient data pipelines for ingestion from the vehicle fleet.\n\nWork on distributed systems that serve, process and transform large quantities of data in the cloud.\n\nMinimum Qualifications:\nExtensive experience in Python (or other Object Oriented language).\n\nExperience building reliable, distributed applications for Data Processing or similar areas.\n\nWorking with RPC protocols such as gRPC/protobuf.\n\nHands-on experience developing cloud applications (e.g. AWS, GCP, Azure).\n\nPreferred Qualifications:\nExperience writing testable and modular code.\n\nExperience working in a fast-paced environment, collaborating across teams and disciplines.\n\nExperience designing, deploying, and maintaining distributed systems.\n\nData pipelines, data platforms, workflow orchestration, batch processing.","description_format":"text","description_chars":2702,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving","Automotive Manufacturing","Smart City","Automotive Software"],"lifecycle":[{"event":"open","at":"2026-10-16T23:06:16Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; 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