{"id":3152809,"url":"https://alion.io/job/campbell-global-senior-lead-software-engineer-pythonjavaspringaws","title":"Senior Lead Software Engineer - Python/Java/Spring/AWS","company":{"id":2649833,"name":"Campbell Global","domain":"campbellglobal.com","url":"https://alion.io/company/campbellglobal","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":77,"ghost_share":0.013,"stale_share":0.013,"repost_share":0.078,"time_to_fill_p50_days":9,"computed_at":"2026-10-25T05:49:26Z"}},"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":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":112000,"max_usd":225000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1150},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Maven","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Spring Boot","optional":false},{"name":"Spring Framework","optional":false},{"name":"Kubernetes","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-21T17:47:19Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-25T10:53:39Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.\nAs a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking, Operations Technology, you are 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.\nJob responsibilities:\nExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\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.\nDevelops secure high-quality production code, and reviews and debugs code written by others\nIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\nLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture\nLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\nRequired qualifications, capabilities, and skills:\nFormal training or certification on software engineering concepts and 5+ years applied experience\nDemonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.\nStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices\nAdvanced in one or more programming language(s): Python, J2EE , Core Java including Java 17 with annotation, enum, collections, streaming, multithreading, concurrency, regular expressions, functions.\nExperience with spring including In-depth knowledge of Spring Framework for building RESTful Web Services, MVC, and Spring Boot.\nStrong AWS experience, architecting, deploying, and operating cloud-native services (e.g., IAM, VPC, ECS, EKS, SQS, S3, RDS, ALB/NLB, Secrets Manager, ElastiCache)\nExperience with build and Integration Tools, including knowledge of JIRA, Maven, Git, Jenkins, GitHub and BitBucket is required.\nDevelopment using Agile methodology. 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