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Sr Software Engineer Java information

What does a Sr Software Engineer Java do?

A Sr Software Engineer Java is responsible for designing, developing, and maintaining complex software applications using the Java programming language. They often lead technical projects, mentor junior developers, and ensure that software solutions are robust, scalable, and secure. Their work involves collaborating with cross-functional teams, reviewing code, and implementing best practices to deliver high-quality products. Senior engineers also play a key role in architectural decisions and contribute to the overall technical direction of their team or organization.

What are the key skills and qualifications needed to thrive as a Sr Software Engineer Java?

To thrive as a Sr Software Engineer Java, you need advanced proficiency in Java programming, software design principles, and a bachelor’s degree (or higher) in computer science or a related field. Familiarity with tools such as Spring Framework, RESTful APIs, version control systems like Git, and cloud platforms is typically required, along with relevant certifications like Oracle Certified Professional Java Programmer. Excellent problem-solving skills, effective communication, and the ability to mentor junior developers make someone stand out in this position. These skills ensure the delivery of robust, scalable applications and foster efficient collaboration in complex development environments.

What are some common challenges Sr Software Engineers specializing in Java face when leading project teams?

Sr Software Engineers working with Java often encounter challenges such as balancing hands-on coding with mentorship responsibilities, managing technical debt in legacy systems, and aligning project goals with business requirements. They frequently need to facilitate effective communication between developers, QA engineers, and stakeholders to ensure project milestones are met. Additionally, staying updated with evolving Java frameworks and best practices while guiding less experienced team members is essential for maintaining code quality and team productivity.

What is the difference between Sr Software Engineer Java vs Software Developer Java?

AspectSr Software Engineer JavaSoftware Developer Java
Required CredentialsBachelor's degree, 5+ years experience, possibly certifications like Oracle Certified ProfessionalBachelor's degree, 1-3 years experience, often entry-level certifications
Work EnvironmentDesigning architecture, leading projects, mentoring teamsWriting code, debugging, implementing features
Employer & Industry UsageTech companies, finance, healthcare, enterprise solutionsStartups, tech firms, software consultancies
Search & Comparison IntentHigher-level roles, leadership, complex projectsEntry to mid-level development tasks

In summary, Sr Software Engineer Java typically involves more experience, leadership, and architectural responsibilities, while Software Developer Java focuses on coding and feature implementation. Both roles are common in tech industries but differ in scope and seniority.

What cities in Ohio are hiring for Sr Software Engineer Java jobs?

Cities in Ohio with the most Sr Software Engineer Java job openings:

Sr Software Engineer Java jobs near you
Infographic showing various Sr Software Engineer Java job openings in Ohio as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% In-person job distribution.

Lead Software Engineer - Java

JPMorgan Chase & Co.

Columbus, OH • On-site

$100 - $130/hr

Other

Re-posted 22 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

Job description

Morgan Money has revolutionized liquidity trading across the firm serving our corporate clients in all regions to have next generation trading capabilities at their fingertips.

As a Java Lead Software Engineer at JPMorganChase within Asset & Wealth Management, you will help advance Morgan Money’s next-generation liquidity trading capabilities for corporate clients across regions. You will build resilient, secure, high-performing services and partner closely with investment and trading stakeholders to deliver measurable business outcomes. You will contribute to a fast-paced engineering culture with frequent production releases and help identify practical opportunities to apply AI and machine learning to improve reliability, insights, and client outcomes.

Job Responsibilities
  • Collaborate directly with investment teams, traders, and portfolio managers to translate objectives into durable technical solutions.
  • Design and deliver high-quality backend services in Java with a focus on scalability, resiliency, and low-latency performance.
  • Drive engineering decisions that shape product design, application functionality, and operational readiness.
  • Lead delivery within an agile team, supporting frequent releases and continuous improvement based on business needs.
  • Develop secure production code and review code changes to raise quality, maintainability, and reliability.
  • Influence technology choices by evaluating and applying modern architectures, patterns, and tooling where they add clear value.
  • Provide technical guidance to engineers and partner teams to accelerate delivery and reduce operational risk.
  • Champion strong software development practices including automated testing, continuous integration, and continuous delivery.
  • Improve observability and incident readiness by leveraging analytics and AI/ML techniques for anomaly detection, alert quality, and faster triage.
Required Qualifications, Capabilities, and Skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Proficiency in Core Java and object-oriented design with strong problem-solving skills.
  • Demonstrated experience applying test-driven development and behavior-driven development, including mocking frameworks and automated test suites.
  • Hands‑on experience with inversion of control frameworks such as Spring or Guice.
  • Experience with messaging and streaming technologies such as Kafka, IBM MQ, or Solace.
  • Strong understanding of engineering fundamentals including continuous integration/continuous delivery, application resiliency, and secure coding practices.
  • Proven ability to partner with cross-functional stakeholders and communicate complex technical topics clearly.
  • Practical experience using data-driven methods (including applied AI/ML where appropriate) to improve decision-making, performance, or operational outcomes.
Preferred Qualifications, Capabilities, and Skills
  • Experience with cloud platforms and relevant certifications.
  • Proficiency in Python for automation, data processing, or service development.
  • Experience with digital assets technologies such as smart contracts, Ethereum, and digital wallets.
  • Familiarity with responsible AI practices such as model evaluation, drift monitoring, and safe deployment patterns.
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