Job Description

Do you like to engineer large scale mission critical solutions that are Always On? Do you like to contribute where cutting edge software development, global scale system architecture, Data and enterprise systems and tools intersect? Are you curious about how things break, so that you can eliminate these failure modes? Are you driven to eliminate toil by designing/adopting better tools and automation techniques? If so, we would love to have you in our CTO HADOOP SRE Team.

Your experience in one or more technology domains will help solve complex and mission critical problems, internally and externally. As a constant learner and early adopter, you're already embracing leading-edge technologies and methodologies; your example encourages others to follow suit. In addition to creating solutions with your in-house team, you'll also work alongside our team of technologists from around the world who are just as dedicated as you are.

Responsibilities shall include:

• Working with our LOB (line of business) users, collaborate with other technology teams to design, develop, test full stack cloud data solutions.
• Leading and be responsible for the craftsmanship, security, availability, resilience and scalability of your solution.
• Leading the innovation, perform proof of concept and the implementation of cutting-edge technologies
• Expert practitioner in one or more technology domains, may be a cross-domain expert able to solve complex and mission critical problems within a business or across the firm.
• Designs, analyzes, develops, tests, debugs and delivers software enhancements and/or new products.

This role requires a wide variety of strengths and capabilities, including:

• Bachelor's degree in Engineering, Computer Science, or Information Technology.
• 5 years of experience in application development using any of these programming languages: Java, Spark, Scala. Experience working in financial industry is preferred.
• 1 years of experience working with Amazon Web Services (AWS) including entitlement and IAM policy. AWS certification adds more value.
• 3 years of experience working on streaming data applications (Spark Streaming, Kafka, Kinesis, and Flink)
• 2 years' experience working with data pipeline open source products (Ex Airflow, Jupyter, Anaconda etc)
• 3 years' hands-on experience with Hadoop data platform (MapReduce, Pig, Hive, HBase, Impala), experience working with Cloudera stack is preferred.
• Lead by influence, mentor junior software engineers, ability to navigate to different teams and business to find solutions to complex problems
• Strong on critical thinking, great communication and team work skill is essential to this role
• High level of responsibility and Ownership from inception through to implementation
• The candidate should have a proactive approach to problem solving

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.