Software Engineer [Multiple Positions Available]

JPMorgan Chase & Co.•Boston, MA

23h•$189,000 - $215,000•Onsite

About The Position

JPMorgan Chase is seeking Software Engineers to design, develop, and implement software solutions that solve business problems through innovation and engineering practices. This role involves all aspects of the Software Development Lifecycle (SDLC), including analyzing requirements, incorporating architectural standards, documenting specifications, translating technical requirements into code, and developing or enhancing software modules. The engineer will identify and troubleshoot application code issues, participate in code reviews, and assist with design reviews. Responsibilities also include participating in project planning, designing and implementing scalable data architectures using state-of-the-art technology, collaborating with data scientists and business stakeholders, and monitoring and optimizing the performance and scalability of data products and infrastructure.

Requirements

Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Information Technology, or related field of study plus five (5) years of experience in the job offered or as Software Engineer, Full Stack Application Developer / Assistant Vice President, Sr. Developer / Systems Analyst, or related occupation.
Alternatively, a Bachelor's degree in Computer Science, Computer Engineering, Computer Information Systems, Information Technology, or related field of study plus seven (7) years of experience in the job offered or as Software Engineer, Full Stack Application Developer / Assistant Vice President, Sr. Developer / Systems Analyst, or related occupation.
Three (3) years of experience with building scalable and high-performance data lakes, data warehouses, or big data solutions leveraging cloud platforms.
Three (3) years of experience with designing and developing high throughput applications using Java, Spring Boot, and multithreading for large scale data processing.
Any amount of experience with designing and developing ETL functionalities using technologies including Java, Python, Scala, and Spark.
Any amount of experience with working with automation & workflow orchestration tools including Autosys and Airflow.
Any amount of experience with integrating complex distributed applications using messaging technologies such as Kafka, MQ, or TIBCO and file movements via FTP or S3.
Any amount of experience with creating and consuming data in different formats including Avro, JSON, XML, CSV, and Parquet.
Any amount of experience with utilizing SQL features for extracting large scale data with efficiency and high performance.
Any amount of experience with creating data models, data structures, and data designs for effective storage and retrieval of largescale data on to database platforms RDMS such as Oracle or Postgres, and NoSQL columnar databases such as HBase or DynamoDB.
Any amount of experience with developing software on a Microservices environment that deploys as a REST API.
Any amount of experience with building software using CI/CD tools including Bitbucket, Git, Jenkins, Maven, and Gradle and deploying on a Virtual server and the AWS cloud platform.
Any amount of experience with following Agile methodologies and Scrum.
Any amount of experience with working on all phases of SDLC including requirements analysis, design and development, unit testing, integration testing, deploying applications to production, and supporting applications postproduction.
Any amount of experience with providing quick diagnosis to application problems leveraging log analytics tools including Splunk and application performance monitoring tools such as Dynatrace.
Any amount of experience with working on UI technologies to create rich, intuitive, and responsive screens.
Any amount of experience with developing and maintaining dynamic and interactive dashboards using Tableau or Qlik Sense leveraging advanced visualization, ETL automation, and ODBC connectors.
Any amount of experience with building and deploying applications on AWS Cloud, virtual servers, and Linux or Unix operating systems.
Any amount of experience with creating automation solutions utilizing scripting and programming using shell scripting, Python, and Perl.
Any amount of experience with communicating designs and solutions with global teams and influencing them to achieve business results.

Responsibilities

Design, develop and implement software solutions.
Solve business problems through innovation and engineering practices.
Analyze requirements, incorporate architectural standards into application design specifications, and document application specifications.
Translate technical requirements into programmed application modules, and develop or enhance software application modules.
Identify or troubleshoot application code-related issues.
Take active role in code reviews to ensure solutions are aligned to pre-defined architectural specifications.
Assist with design reviews by recommending ways to incorporate requirements into designs and information or data flows.
Participate in project planning sessions with project managers, business analysts, and team members to analyze business requirements and outline proposed solutions.
Design and implement scalable data architectures using state of the art technology at an enterprise-scale.
Collaborate with data scientists, analysts and business stakeholders to understand requirements and deliver solutions.
Monitor and optimize the performance and scalability of data products and infrastructure.