Java Developer

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 Engineering 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 This role requires a wide variety of strengths and capabilities, including:
• BS/BA degree or equivalent experience
• 5+ years of experience in application development using any of these programming languages: Java, Scala, Python. Experience working in financial industry is preferred.
• 3+ years of experience working with Amazon Web Services (AWS) including entitlement and IAM policy. AWS professional certification is preferred.
• 3+ years of experience working on streaming data applications (Spark Streaming, Kafka, Kinesis, and Flink)
• 3+ years’ experience working with data pipeline open source products (Airflow, Jupyter, Anaconda)
• 3+ years’ hands-on experience with Hadoop data platform (MapReduce, Pig, Hive, HBase, Impala), experience working with Cloudera stack is preferred.
• 1+ years of experience with DevOps automation tools (AWS CloudFormation, Terraform)
• 1+ years of experience in developing, deploying and monitoring in building large distributed and parallel systems using container technology including Docker, Kubernetes, AWS EKS, AWD Fargate
• 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