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Chase · 4 months ago

Software Engineer II- Big Data

450 W 33rd St, New York, NY, 10001, US

Full-time

Onsite

Entry, Mid Level

$119K/yr - $150K/yr

2+ years exp

Chase is a leading financial services firm, and they are seeking a Software Engineer III to build and support high throughput, low latency applications leveraging machine learning architectures deployed in AWS. The role involves designing new applications, ensuring code quality, collaborating with agile teams, and providing support for production systems.

BankingFinancial Services

Responsibilities

Design & build new applications utilizing leading edge technologies and modernize existing applications

Implement batch & real-time software components consistent with architectural best-practices of reliability, security, operational efficiency, cost-effectiveness and performance

Ensure quality of deployed code via automated unit, integration & acceptance testing

Collaborate with multi-national agile development, support and business teams to meet sprint objectives

Participate in all agile meetings & rituals, including daily standups, sprint planning, backlog reviews, demos, and retrospectives

Provide level 2 support for production systems

Learn and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Add to team culture of diversity, opportunity, inclusion, and respect

Qualification

AWSBig DataApache SparkJavaAutomationDistributed DatastoresTerraformAgile methodologiesLinux scriptingSoftware Development Life CycleMachine Learning

Required

Formal training or certification on software engineering concepts and 2+ years applied experience

Hands-on practical experience in Frameworks, system design, application development, testing, and operational stability

Advanced in one or more programming language(s) (e.g., JAVA, and frameworks of Spring, Micro Services, APIs, etc.)

Experience with Distributed Datastores (e.g. Cassandra)

Proficiency in automation and continuous delivery methods

Proficient in all aspects of the Software Development Life Cycle

Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred

Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, BigData, artificial intelligence, machine learning, mobile, etc.)

Experience designing, developing and deploying software components on AWS using common compute and storage services such as EC2, EKS, Lambda, S3

Experience with Apache Spark or similar large-scale data processing engines

Experience with Big Data / Distributed / cloud technology (AWS Big data services like lambda, glue, glue emr and Spark Architecture, Performance tuning, Spark SQL, Streaming, KAFKA, Entitlements etc.)

Certified AWS Cloud Practitioner, Developer or Solutions Architect strongly preferred

Experience using Terraform to deploy infrastructure-as-code to public cloud

Experience with Linux scripting such as Bash, KSH, or Python