{"id":3192272,"url":"https://alion.io/job/campbell-global-software-engineer-iii-full-stack-3","title":"Software Engineer III (Full Stack)","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":49,"ghost_share":0,"stale_share":0,"repost_share":0.102,"time_to_fill_p50_days":8,"computed_at":"2026-10-24T06:02:35Z"}},"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":"structured","locations":["Jersey City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":97000,"max_usd":192000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1418},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"Embeddings","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Spring Boot","optional":false},{"name":"Terraform","optional":false},{"name":"Java","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"OpenAI","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-10-19T16:11:53Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-25T03:54:17Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.\nAs a Software Engineer III at JPMorganChase within the the Digital Banking division, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.\nJob responsibilities\nExecutes standard software solution, design, development, and technical troubleshooting\nWrites secure and high-quality code using the syntax of at least one programming language with limited guidance\nLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.\nDesigns, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications\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\nDevelop backend services using Java, Spring Boot, Spring WebFlux, Python, or comparable technologies.\nContribute to user-interface development using React or another modern JavaScript framework when required.\nBuild RESTful APIs and event-driven integrations using technologies such as Kafka.\nWrite clean, maintainable, secure, and well-tested code that follows established engineering standards.\nBuild and support workloads running on technologies such as AWS ECS, EKS, Fargate, Lambda, S3, DynamoDB, RDS, MSK, ElastiCache, and Amazon Bedrock.\nDevelop applications using cloud-native design principles, including scalability, resiliency, fault tolerance, high availability, and automated recovery.\nSupport containerized workloads using Docker and Kubernetes.\nContribute to infrastructure-as-code solutions using tools such as Terraform, AWS CloudFormation, or equivalent technologies.\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 3+ years applied experience\nStrong programming skills in Java, Python, JavaScript, or another modern programming language.\nHands-on experience developing and deploying applications on at least one major public-cloud platform, preferably AWS.\nKnowledge of generative AI, large language models, prompt engineering, embeddings, vector databases, AI agents, and retrieval-augmented generation.\nAbility to learn new technologies quickly and apply them to practical business and engineering problems\nExperience with AWS services such as ECS, EKS, Fargate, Lambda, S3, DynamoDB, RDS, MSK, ElastiCache, CloudWatch, IAM, API Gateway, and Amazon Bedrock.\nExperience with Java, Spring Boot, Spring WebFlux, Python, or React.\nUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.\nExperience across the whole Software Development Life Cycle\nExposure to agile methodologies such as CI/CD, Application Resiliency, and Security\nPreferred qualifications, capabilities, and skills\nFamiliarity with OpenAI-compatible APIs, Amazon Bedrock, LangChain, LangGraph, Semantic Kernel, or similar AI frameworks.rise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.\nAWS Certified Cloud Practitioner, AWS Certified Developer - 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