{"id":2118995,"url":"https://alion.io/job/thunes-python-software-engineer","title":"Python Software Engineer","company":{"id":5845,"name":"Thunes","domain":"thunes.com","url":"https://alion.io/company/thunes","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Kubernetes","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Vue.js","optional":false},{"name":"FastAPI","optional":true},{"name":"Go","optional":true},{"name":"Grafana","optional":true},{"name":"JavaScript","optional":true},{"name":"OpenSearch","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-09-29T12:14:18Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-11T21:46:10Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"About Thunes\nThunes is a global, fast-growing, and innovative Fintech scale-up that uses technology to disrupt and transform the existing financial system.\nWe have a strong Mission: to create a better global payments network, and a great Purpose: to connect the world to economic opportunities and address systemic inequality when it comes to financial services.\nWe are proud to power payments for the world’s fastest-growing businesses and work with some of the amazing global brands - from Gig Economy giants such as Uber and Deliveroo and Southeast Asia's super-app Grab, to global Fintech leaders such as PayPal and Remitly.\nOur Products help to drastically simplify the Payment integration experience for our customers: with a single, simple connection, businesses and consumers can send payments to - and get paid in - every corner of the world. Instantly.\nThunes is headquartered in Singapore with regional offices in London, Paris, Barcelona, Shanghai, Miami, Dubai, and Nairobi.\nContext of the role\nReporting to the Software Engineering Lead, you will be part of the engineering team who is responsible for developing our core business products and getting them to production in the most efficient and fastest way possible. You will be involved in architecture, tools and platforms to solve business needs and tools around internal processes automation to improve quality and performance of internal clients.\nAs part of the Engineering team, based in Europe, this role will bring you great opportunities to work on various projects, technologies, with a diverse range of teams.\nKey responsibilities\nThunes infrastructure runs in AWS, we use Kubernetes and docker. For Treasury Automation our technical stack is: Python, FastAPI, Vue.js, postgres, redis, Prometheus + Grafana + OpenSearch.\nAs an engineer, you’ll be responsible for\nDeveloping and enhancing treasury automation product\nBuilding and improving time series models for forecasting cash flow\nDebugging production issues related to forecasting, configuration, data flow\nEnsuring reliability and uptime of the service\nImproving engineering standards and holding a high bar for code quality and simplicity\nWhat we are looking for\n4+ years of professional software development experience - you have worked on systems that are deployed in production environments\nA strong grasp of computer science fundamentals when it comes to dealing with API, web and backend systems\nA bias towards shipping early and iterating. 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