{"id":1221488,"url":"https://alion.io/job/the-infatuation-lead-software-engineer-markets-java-ai-spring-boot","title":"Lead Software Engineer - Markets, Java, AI, Spring Boot","company":{"id":1048574,"name":"The Infatuation","domain":"theinfatuation.com","url":"https://alion.io/company/the-infatuation","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":191,"ghost_share":0.01,"stale_share":0,"repost_share":0.22,"time_to_fill_p50_days":4,"computed_at":"2026-09-29T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":128000,"max_usd":254000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":657},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Angular","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Maven","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"JavaScript","optional":true},{"name":"JUnit","optional":true},{"name":"Kotlin","optional":true},{"name":"Mockito","optional":true},{"name":"Testcontainers","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-09-24T15:27:29Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-29T17:27:24Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.\nAs a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank- Trading Technology team, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.\nJob responsibilities\nDesigns, develops, and troubleshoots creative software solutions, thinking beyond conventional approaches to solve complex technical problems\nLeads the adoption and integration of cutting-edge technologies including Java, Spring, Springboot, React, and Kafka\nDevelops secure, high-quality production code, and reviews and debugs code written by others\nDefines and drives the technology roadmap, focusing on next-generation data, analytics, and automation platforms\nChampions the use of AI, machine learning, and advanced analytics to deliver real-time trade processing applications\nIdentifies opportunities to eliminate or automate recurring issues to improve overall operational stability of software applications and systems\nDesigns and implements data pipelines, analytics workflows, and reporting solutions using Python, Databricks, and Spark\nDevelops and maintains web-based applications and dashboards using modern web stacks (React, Angular, etc.)\nBuilds and optimizes data models, ETL/ELT processes, and integration frameworks for large-scale financial data\nEnsures data quality, security, lineage, and governance across all team platforms\nDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.\nApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.\nRequired qualifications, capabilities, and skills\nFormal training or certification in software engineering concepts with 7+ years applied experience\nHands-on practical experience in system design, application development, testing, and maintaining operational stability\nHands-on expertise in Java, Spring, Springboot, Maven, Kafka, and modern web technologies such as React\nStrong knowledge of cloud platforms such as AWS, Lambda, ECS, EC2, and Terraform\nProficiency in automation and continuous delivery, including CI/CD tools such as GitHub Actions and AWS CodePipeline\nAdvanced proficiency in designing scalable, secure, and resilient systems for large-scale data environments\nDemonstrated ability to lead engineering teams, set technical direction, and deliver complex projects\nHands on experience in leading and implementing standard software engineering practices, such as Agile development, code reviews, automated testing, CI/CD pipelines, and documentation\n\nPreferred qualifications, capabilities, and skills\nProven experience in financial markets, Futures & Options, and Trade Execution/Clearing\nKnowledge of AMPS (messaging platform), MQ, Cucumber Integration Tests, JUnit, Mockito, and Testcontainers","description_format":"text","description_chars":3640,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Food & Beverages","Meat & Poultry","Grains, Cereals & Pasta"],"lifecycle":[{"event":"open","at":"2026-09-25T12:11:27Z"}],"liveness":{"score":43,"band":"fade","label":"Fading","p_open":1,"p_active":0.783,"p_room":0.55,"age_days":4,"expected_fill_days":4,"reasons":["conf:5","velocity","win:tail","comp:brand"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/the-infatuation-lead-software-engineer-markets-java-ai-spring-boot","json_url":"https://alion.io/job/the-infatuation-lead-software-engineer-markets-java-ai-spring-boot.json","meta":{"generated_at":"2026-09-30T01:27:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":994,"day_limit":5000,"remaining_today":4006,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}