As a Software Engineer III, you will design and implement advanced software solutions, focusing on building high-quality production code. You'll analyze large datasets, troubleshoot system issues, and contribute to agile team efforts in delivering technology products while ensuring best coding practices are followed.
Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Experience in developing distributed, mission-critical trading or transactional analytics systems.
- Proficiency in Core Java, Spring Boot, and J2SE.
- Experience with Big Data technologies like Hadoop and Spark.
- Cloud computing experience with AWS or Azure.
- Database experience with RDBMS (e.g., Oracle) and NoSQL databases (e.g., MongoDB).
- Development of SOA services, including REST and XML/RPC.
- Strong understanding of algorithms, data structures, and multi-threading.
- Experience with Agile development and familiarity with TDD/ADD and automation tools.
- Strong analytical and problem-solving skills, with the ability to work under pressure.
- Understanding of CI/CD, application resiliency, and security practices.
Preferred qualifications, capabilities, and skills
- Developed market surveillance systems to monitor trading activities, ensuring compliance and detecting suspicious activities.
- Built and enhanced front-office trading platforms for equities, FX, commodities, and derivatives with a focus on low latency and real-time data processing.
- Created risk management solutions to assess and manage market, credit, and operational risks using advanced analytics.
- Designed big data solutions for processing and analyzing large volumes of financial data to support decision-making and strategy development.
Top Skills
Core Java
J2Se
Spring Boot
Similar Jobs at JPMorganChase
Be an Early Applicant
As a Lead Architect at JPMorgan Chase, you will create and manage the Payment Domain's Business Data Glossary and Business Information Models. You will work with product owners and technical teams to design scalable data solutions, ensure compliance with best practices, facilitate data model evaluations, and lead information architecture initiatives.
Be an Early Applicant
As a Lead Software Engineer, you will design, develop, and troubleshoot software solutions within the Capital Reporting product, focusing on Python and PySpark. You'll ensure adherence to architectural standards, manage a team of engineers, and promote improvements in coding hygiene and system architecture while utilizing agile methodologies.
Be an Early Applicant
As a Fraud Modeling - Machine Learning Associate, you'll design and implement machine learning models and strategies for risk management. Collaborate with senior management and various partners while utilizing big data and cloud computing platforms to optimize model development and deployment.
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
