{"id":2817632,"url":"https://alion.io/job/american-express-sr-software-engineer-ii-enterprise-architecture-3","title":"Sr Software Engineer II - Enterprise Architecture","company":{"id":2209,"name":"American Express","domain":"americanexpress.com","url":"https://alion.io/company/american-express","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":99,"open_postings":47,"ghost_share":0,"stale_share":0.085,"repost_share":0.277,"time_to_fill_p50_days":8,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Solutions","role_family":"Solutions","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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":126000,"max_usd":252000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1026},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Angular","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Scrum","optional":false},{"name":"Spring Boot","optional":false},{"name":"Swagger","optional":false},{"name":"Terraform","optional":false},{"name":"JavaScript","optional":true},{"name":"TypeScript","optional":true}],"status":"closed","first_seen_at":"2026-10-14T21:51:44Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-26T21:23:49Z","board_verified":false,"closed_at":"2026-10-26T21:23:49Z","days_open":11,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":11},"description":"About Enterprise Architecture:\nEnterprise Architecture is an organization within the Chief Technology Office at American Express and it is a key enabler of the company’s technology strategy. The four pillars of Enterprise Architecture include:\nArchitecture as Code: this pillar owns and operates foundational technologies that are leveraged by engineering teams across the enterprise.\nArchitecture as Design: this pillar includes the solution and technical design for transformation programs and business critical projects which need architectural guidance and support.\nGovernance: this pillar is responsible for defining technical standards, and developing innovative tools that automate controls to ensure compliance.\n Colleague Enablement: this pillar is focused on colleague development, recognition, training, and enterprise outreach. \n Design, develop, and deliver scalable, high-quality software solutions across the full stack, leveraging Java and Python for enterprise-grade platforms and services\nLead the architecture and implementation of distributed systems, ensuring performance, reliability, and maintainability\nOwn end-to-end delivery of features-from design and development to deployment, monitoring, and support in production environments\nAct as a senior member of an Agile team, driving best practices in coding standards, testing, documentation, and continuous delivery\nMentor and guide junior engineers, providing technical leadership through code reviews, design discussions, and knowledge sharing\nCollaborate closely with architects, product managers, and cross-functional teams to translate business requirements into scalable technical solutions\nBuild and evolve RESTful APIs, microservices, and event-driven systems, ensuring strong service contracts and backward compatibility\nChampion engineering excellence by improving CI/CD pipelines, test automation, and developer productivity\nProactively identify system bottlenecks, debug complex issues, and drive root-cause analysis with long-term fixes\nDesign systems for scalability, resilience, and observability, including monitoring, logging, and alerting strategies\nContribute to cloud-native adoption, including containerization, infrastructure-as-code, and auto-scaling architectures\nInfluence technical direction and challenge the status quo by proposing innovative, pragmatic solutions\nTake ownership and accountability for delivering high-impact outcomes aligned with team and organizational goals\n 6+ years of professional software development experience with strong expertise in Java and working knowledge of Python for backend or data-driven applications\nDeep experience with Java ecosystems and frameworks such as Spring, Spring Boot, or equivalent\nProven experience in full-stack development, including backend services and modern frontend frameworks (e.g., React, Angular, or similar)\nStrong experience building RESTful APIs, microservices architectures, and service-to-service integrations\nSolid understanding of distributed systems, concurrency, scalability, and performance optimization\nHands-on experience with relational databases (PostgreSQL, MySQL, Oracle) and/or NoSQL databases (Cassandra, DynamoDB, MongoDB)\nExperience with containerization and orchestration (Docker, Kubernetes)\nFamiliarity with infrastructure-as-code tools (Terraform, CloudFormation, etc.)\nExperience with messaging and streaming platforms such as Kafka, RabbitMQ, or JMS\nPractical experience with cloud platforms (AWS, Azure, or GCP) and cloud-native development patterns\nHands-on experience in test data generation and unit test development and execution\nPreferred: Basic understanding of AI/ML concepts and Generative AI technologies, including LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG)\nExperience with API design standards, OpenAPI/Swagger, versioning, and contract-driven development\nHands-on experience with CI/CD pipelines and tools (Jenkins, GitHub Actions, GitLab CI, etc.)\nProficiency in Agile/Scrum methodologies and modern software development lifecycle practices\nBachelor’s degree in computer science, Engineering, or equivalent practical 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