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Internship Smart Contracts Developer Jobs Near Me

Turner Construction

Engineer - Columbus

Columbus, OH

... contract documents. Has supervisory responsibility for Assistant Engineers, Engineering Assistants, and Interns. The Engineer is the individual on the project responsible for building the overall ...

Turner Construction

Engineer - Columbus

Columbus, OH

... contract documents. Has supervisory responsibility for Assistant Engineers, Engineering Assistants, and Interns. The Engineer is the individual on the project responsible for building the overall ...

Turner Construction

Engineer - Columbus

Columbus, OH · On-site

... contract documents. Has supervisory responsibility for Assistant Engineers, Engineering Assistants, and Interns. The Engineer is the individual on the project responsible for building the overall ...

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How much do internship smart contracts developer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for internship smart contracts developer in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.

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Internship Smart Contracts Developer jobs near you
A map of the United States highlighting the number of Internship Smart Contracts Developer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Internship Smart Contracts Developer job openings in each state, with California having the most at 2 and Alaska the least at 0.

Lead Software Engineer - Java

JPMorgan Chase & Co.

Columbus, OH • On-site

$100 - $130/hr

Other

Re-posted 16 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 494 frontline employees who took The Breakroom Quiz

71st 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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