{"id":1167881,"url":"https://alion.io/job/jpmorganchase-manager-of-software-engineering-spark-aws-databricks-java","title":"Manager of Software Engineering - Spark, AWS, Databricks, Java","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":358,"ghost_share":0.006,"stale_share":0.008,"repost_share":0.017,"time_to_fill_p50_days":3,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Management","role_family":"Management","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":["Wilmington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":108000,"max_usd":202000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1570},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Java","optional":false}],"status":"live","first_seen_at":"2026-09-24T04:09:26Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T16:28:32Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.\nAs a Manager of Software Engineering at JPMorganChase within the Enterprise Technology, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.\nJob responsibilities\nProvides guidance to immediate team of software engineers on daily tasks and activities\nSets the overall guidance and expectations for team output, practices, and collaboration\nLeads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.\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 and support capacity unlock initiatives.\nAnticipates dependencies with other teams to deliver products and applications in line with business requirements\nManages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience \nExperience leading technology projects with Big Data & Event Driven Architecture. \nExperience & hands on with technology: Spark, Databricks, AWS, Java\nExperience managing technologists\nExperience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.\nUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.\nProficient in all aspects of the Software Development Life Cycle\nAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security\nIn-depth knowledge of the financial services industry and their IT systems\nPractical cloud native experience\nPreferred qualifications, capabilities, and skills\nExposure to any of decision engines like ODM, Drools","description_format":"text","description_chars":2729,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Credit Cards","Wealth Management","Asset Management","Payments"],"lifecycle":[{"event":"open","at":"2026-09-24T04:47:02Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":3,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/jpmorganchase-manager-of-software-engineering-spark-aws-databricks-java","json_url":"https://alion.io/job/jpmorganchase-manager-of-software-engineering-spark-aws-databricks-java.json","meta":{"generated_at":"2026-09-24T17:31:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}