{"id":566120,"url":"https://alion.io/job/brightpoint-python-platform-engineer","title":"Python Platform Engineer","company":{"id":291521,"name":"BrightPoint","domain":"brightpoint.bg","url":"https://alion.io/company/brightpoint-2","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"D","score":40,"open_postings":20,"ghost_share":1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-01T06:10:25Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Grafana","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"NumPy","optional":false},{"name":"Oracle","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2024-05-21T11:34:45Z","employer_posted_date":"2024-05-21","last_verified_at":"2026-11-01T17:53:54Z","board_verified":true,"closed_at":null,"days_open":894,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":893},"description":"Our client is an active investment management firm focused on delivering attractive performance and client portfolio solutions. They believe that technology will play a key role in the future of finance, and have built a robust trading platform to handle scale, complexity and customisation.\nTheir systems are almost all running on Linux and most of the code is in Python, with extensive usage of open-source libraries such as pandas and numpy. The systems that require the highest data throughput are implemented in Java. For storage, the company relies heavily on MongoDB, Oracle and their own open-source high-performance timeseries database. They use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker + Kubernetes for containerisation, and also infrastructure-as-code for server deployment.\nThe Role\nAs Python Platform Engineer, you will be working at the heart of the trading systems, from signal capturing to trade monitoring, across all asset classes being traded. Your challenges will be varied, including implementing new trading functions, optimising and maintaining existing trading systems, contributing to their architecture, and also providing second level support as required.\nJob Requirements\nStrong academic record and a degree with high mathematical or computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university\n\nIn-depth knowledge of software engineering techniques and methods: agile development, continuous integration, code review, unit testing, behaviour driven development testing, refactoring and related approaches\nExpert knowledge in one or more programming languages, preferably Python\nProficient on Linux platforms with knowledge of various scripting languages\nStrong knowledge of one or more relevant database technologies e.g. Oracle and MongoDB\nProficient with a range of open-source frameworks and tools in scientific computing and webdevelopment\n\nFamiliarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns\nExperience with DevOps methodology and tooling in the software development\nAdvantageous\nInterest in financial markets and instruments\nExperience of quantitative or automated trading systems development e.g. in a hedge fund or investment bank\n\nExpertise in building distributed systems with service-based or event-driven architectures,and concurrent processing\n\nKnowledge of modern practices for data engineering and stream processing\nUnderstanding of financial market data collection and processing\nExperience of web-based development and visualisation technology for portraying large andcomplex data sets and relationships\n\nThey offer:\n25 Days Annual Leave Allowance (Increasing to 28 days per year based on tenure)\nPrivate Medical Insurance, Including Dental Care\nMultisport Card\nAnnual Performance-Based Bonus\nLearning & Development Platform\nHybrid working policy - 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