Software Engineer II

Job Description

hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role. At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Taking your place as a core member of an agile team driving the latest development practices. Writing code and unit tests, working with API specs and automation. Finding Opportunities for adopting new technologies. Leading a team of engineers that delivers knowledge management solutions to businesses worldwide. If you have a strong will to learn and educate and are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to lead the Technology Enterprise Data Management (the technical implementation of data governance) while heavily influencing a series of Enterprise Technology capabilities (e.g. Big Data, API?s, Web , Cloud, AI/ML, Real-Time Event Processing & Analytics, etc.) to support the end-to-end development and execution of Amex's data management strategy, and to drive engineering excellence Responsibilities Be a very skilled engineer with experience across programing languages, data integration technologies and data management pipelines. Partner with business, product, engineering, and data science teams to unlock the power of using data across Amex by translating business requirements/problems to solutions, products, or services. Partner Enterprise Tech Data Strategy & Architecture team to develop and implement software that meets the technology and business' needs including creating a highly scalable data management pipelines comprising of operational and product data to build a Data fabric foundation for the company. Engineer complex solutions and ensure that they are in alignment with the data architecture principles, standards, strategies, and target states. Adopting industry leading technologies to support best-in-class business capabilities for high quality computing and data storage solutions. Minimum Qualifications Bachelor?s Degree in Computer Science, Computer Engineering, or related STEM fields. Advanced degree preferred. 5+ years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems Wide breath of engineering experience as backend Engineer in technologies like Java, J2EE, Spring, Micro Services and more to deliver product capabilities. Good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms (e.g. PostgreSQL, BigQuery, Neo4J, MongoDB, HBase, etc.). Experience with following message queuing, stream processing, and highly scalable ?big data? tools and technologies is a plus: GCP PubSub, Apache Kafka, Apache spark. Proficiency in working with Linux commands and scripting and experience in CICD pipeline setup and e2e automation for build, test, and deployment. Preferred Qualifications Experience in Java, Springboot technologies is a plus Experience in RDBMS and/or knowledge on NoSQL platforms (e.g. PostgreSQL, Redshift, Big Query, Snowflake, DynamoDB, Neo4J, MongoDB, Cassandra, HBase, etc) Experience supporting and working with multi-functional teams in a dynamic environment. Hands-on experience on CICD pipelines, Automated test frameworks, DevOps and source code management will be a big plus (XLR, Jenkins, Git, Stash, Jira, Confluence, Splunk etc.) Implementation experience / good familiarity with DSAR, GDPR, CCPA is a plus. Strong analytical skills and algorithmic problem-solving skills. Knowledge of / experience with Machine Learning/Gen AI is a plus. Knowledge of / experience with Docker/Kubernetes and one or more public cloud (AWS, GCP, Azure). Deep understanding of data structures, algorithms & design patterns. Confidence in leading and driving the team independently. Benefits We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.