Senior Software Engineer, Hadoop, ML, Java and NLP

Short Description

American Express is looking for energetic, high-performing software engineers (Machine Learning, Java, NLP and Hadoop) to help in shaping our technology and product roadmap.

Job Description

Focus
Leads the design, development, troubleshooting, and debugging work efforts for customer-facing applications, business applications, and/or internal end-user applications.

Key Responsibilities:
  • Software Development -
  • Perform technical aspects of software development for assigned applications including design, developing prototypes, and coding assignments
  • Function as a leader on an agile team by contributing to software builds through consistent development practices (tools, common components, and documentation)
  • Lead code reviews and automated testing
  • Debug software components and identify code defects for remediation
  • Leads the deployment, support, and monitoring of software across test, integration, and production environments.
  • Empower teams to automate deployments in test or production environments
  • Empower teams to automatically scale applications based on demand projections
  • Leadership -
  • Takes accountability for the success of the team achieving their goals
  • Drives the teamâ??s strategy and prioritizes initiatives
  • Influence team members by challenging status quo, demonstrating risk taking, and implementing innovative ideas
  • Be a productivity multiplier for your team by analyzing your work flow and contributing to enable the team to be more effective, productive, and demonstrating faster and stronger results.
  • Mentor and guide team members to success within the team
  • Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Qualifications:
  • 10+ years of software development experience in a professional environment and/or comparable experience such as:
  • Demonstrated experience with working in an Agile, collaborative environment to understand requirements, design, code and test innovative applications in areas such as machine learning, computational linguistics, and Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration.
  • Experience in high-scale web applications and architecture
  • Big Data:
  • Strong coding skills and fundamentals in data structures, predictive modeling, and big data concepts
  • Experience with Big data analysis platforms like NoSQL, Spark, MapReduce, HD Insights.
  • Demonstrated experience with Big Data infrastructure and Big Data Components/ Frameworks (Hadoop, HBase, MapReduce, HDFS, Pig, Hive, Sqoop, Flume, Oozie, Lucene, Avro etc.) and other AJAX tools/ Frameworks.
  • Knowledge of analytics or Machine Learning Workflows, pipelines and engines, strongly preferred. Experience developing and maintaining distributed, elastic micro-service applications that self-heal in the event of failures
  • Experience with Anomaly detection, pattern matching with capability to correlate business solution to ML algorithms is strongly preferred. Experience with Kafka, Spark, Docker, Kubernetes, or Mesos.
  • Programming and language skills
  • Demonstrated experience with object-oriented design and coding with Java / J2EE using Spring /Struts framework.
  • Proficiency on Linux. Understanding and experience with UNIX / Shell scripting

Good To Have
  • Machine Learning:
  • Knowledge of analytics or Machine Learning Workflows, pipelines and engines, strongly preferred
  • Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open source libraries
  • Experience with Anomaly detection, pattern matching with capability to correlate business solution to ML algorithms is strongly preferred
  • Experience working with Python or R language script. Having a good grasp of Machine Learning concepts from preprocessing to modeling and evaluating results.
  • Education & Experience
Position requires a Bachelor's degree in Computer Science, Engineering, Information Systems, Business Administration, or a related field, followed by 10 years of progressively responsible experience with systems analysis, design and operations.

Knowledge/Skills:
  • Requires knowledge across multiple business and technical environments, covering a large range of business functions and capabilities
  • Requires financial acumen in terms of monitoring, controlling and reporting budget expenditure
  • Technology Core Competencies
  • Adaptive Communication
  • Agile Practices
  • Programming Languages and Frameworks
  • SDLC Methodologies and Practices
  • System/Platform Domain Knowledge
  • Industry and Company Knowledge
  • Organizational Change Management
  • Technical Acumen
  • Technology Industry Trends.

Senior Software Engineer, Hadoop, ML, Java and NLP
Associate Information Technology Full-time Other Senior Software Engineer
American Express is a global service company, providing customers with exceptional access to products, insights and experiences that enrich lives and build business success.

Each day, American Express makes it easier, safer and more rewarding for consumers and businesses to purchase the things they need and for merchants to sell their goods and services. An engine of commerce, American Express provides innovative payment, travel and expense management solutions for individuals and businesses of all sizes. Most of all, we help our customers realize their dreams and aspirations through industry-leading benefits, access to unique experiences, business-building insights, and global customer care. We enable our customers to do and achieve more.