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Backend Engineer Java Jobs in Columbus, OH (NOW HIRING)

Java Back-end Developer Type: Contract to Hire position Location: Columbus Ohio - HYBRID (Role onsite 3 days a week in Columbus Ohio) Pay Rate: $50/hr. on w2 Conversion Salary: $100k/ yr. on w2 Base ...

Java Backend Developer No sponsorship, local to Columbus, OH with 4 days' work in Easton office. Rate - $70 -80/hr on w2 Salary - $120,000/Yearly - $130,000/yearly + Benefits Must be in Columbus OH ...

Java Developers

Columbus, OH · On-site

$47.75 - $61.75/hr

Java Backend Developer * Primary Skills: Java, Spring Boot, Spring Framework, RESTful API Development, Microservices Architecture, SQL (MySQL/PostgreSQL/Oracle), Hibernate/JPA, Maven/Gradle, Git

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 ...

Java Developer

Columbus, OH · On-site

$47.75 - $61.75/hr

Java FSD with AWS An FSD/FSPE has an "end to end product" mindset - design, implementation, testing and deployment, and adds an additional skill (s) on top of traditional front/back-end developer ...

Java Developer

Columbus, OH · On-site

$49.25 - $63.75/hr

Java Developer Location: Columbus Ohio (Hybrid) Duration: 3-month Contract to hire Front end and back end are both in TypeScript. Generally, people relate typescript to front end - both front and ...

... back-end developer role Design and developer application using Core Java Design and developer ... application using J2EE. Experience in J2EE design patterns Create/consume Rest APIs & Microservices ...

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Backend Engineer Java information

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How much do backend engineer java jobs pay per hour?

As of May 28, 2026, the average hourly pay for backend engineer java in Columbus, OH is $52.77, according to ZipRecruiter salary data. Most workers in this role earn between $46.92 and $60.82 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Backend Engineer Java, and why are they important?

To thrive as a Backend Engineer Java, you need a solid understanding of Java programming, data structures, algorithms, and experience with backend frameworks, typically supported by a relevant degree or industry experience. Familiarity with tools and technologies such as Spring Boot, RESTful APIs, relational databases, and build systems like Maven or Gradle is commonly required. Problem-solving ability, teamwork, and effective communication are crucial soft skills for excelling in collaborative and fast-paced development environments. These combined skills ensure robust, scalable backend systems that meet business needs and integrate smoothly within larger software architectures.

How does a Backend Engineer Java typically collaborate with frontend developers and other stakeholders in a project?

As a Backend Engineer Java, you will regularly collaborate with frontend developers to ensure seamless integration between server-side logic and user interfaces. This often involves participating in design discussions, clarifying API requirements, and troubleshooting integration issues. You’ll also engage with product managers, QA engineers, and sometimes DevOps teams to align on project goals, timelines, and deployment strategies. Effective communication is key to translating business requirements into reliable backend solutions and maintaining smooth workflows across the team.

What does a Backend Engineer Java do?

A Backend Engineer Java is responsible for developing and maintaining the server-side logic, databases, and application programming interfaces (APIs) using the Java programming language. They ensure that the backend of web applications or software systems is efficient, secure, and scalable. Their work often involves collaborating with frontend developers, designing system architecture, and optimizing performance to handle large volumes of user requests. Backend Java engineers often use frameworks such as Spring or Hibernate and work with databases like MySQL or PostgreSQL.

What is the difference between Backend Engineer Java vs Backend Developer Java?

AspectBackend Engineer JavaBackend Developer Java
Primary FocusDesigning, developing, and maintaining server-side applications and systemsImplementing and coding backend functionalities based on specifications
ResponsibilitiesSystem architecture, performance optimization, API developmentWriting code, debugging, integrating databases
Skills & CertificationsJava, Spring, REST APIs, SQL, cloud platformsJava, Spring, SQL, version control, testing tools
Work EnvironmentCollaborative teams, project planning, architecture designCode implementation, debugging, feature development

Both roles require Java expertise and similar certifications, but Backend Engineer Java typically involves higher-level system design and architecture responsibilities, while Backend Developer Java focuses more on coding and implementing features. Employers often see these roles as complementary within software development teams.

What are popular job titles related to Backend Engineer Java jobs in Columbus, OH? For Backend Engineer Java jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Backend Engineer Java jobs in Columbus, OH look for? The top searched job categories for Backend Engineer Java jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Backend Engineer Java jobs? Cities near Columbus, OH with the most Backend Engineer Java job openings:
Infographic showing various Backend Engineer Java job openings in Columbus, OH as of May 2026, with employment types broken down into 72% Full Time, 17% Part Time, and 11% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $109,756 per year, or $52.8 per hour.

Java Team Lead - Backend Engineering

Purple Drive Technologies

Columbus, OH • On-site

$48.75 - $63.25/hr

Full-time

Posted 5 days ago


Job description

Overview:
Java Team Lead - Backend Engineering
Role Overview:
Lead a backend engineering team, combining technical expertise with people management. Drive delivery, innovation, and excellence in cloud-native architectures, container orchestration, observability, data processing, test automation, and AI/ML initiatives.
Key Responsibilities:
Manage and mentor a backend team, fostering technical ownership and collaboration.
Architect and implement scalable microservices (Java, Spring Boot) using SOLID principles.
Build event-driven systems with Apache Kafka.
Drive robust test automation strategies, ensuring high coverage and reliability.
Identify and automate manual processes to improve efficiency and reduce errors.
Ensure best practices: automated testing, CI/CD, observability, and secure coding.
Deploy cloud-native apps (AWS, Azure, GCP) using infrastructure-as-code.
Implement containerization and orchestration (Docker, Kubernetes).
Integrate observability tools (Prometheus, Grafana, Dynatrace, Splunk).
Lead/contribute to AI/ML projects with data scientists and ML engineers.
Design batch processing and ETL pipelines (Spring Batch, Apache Spark).
Use data visualization tools (Tableau, Power BI) for reporting.
Identify and resolve technical risks and performance issues.
Advocate for AI-powered development tools (e.g., GitHub Copilot).
Collaborate on architecture, standards, and delivery milestones.
Required Skills & Qualifications:
12+ years backend development (Java, Spring Boot) in distributed environments.
Advanced microservices, RESTful API, and service orchestration expertise.
Deep experience with Apache Kafka and distributed systems concepts.
Proven engineering team leadership and mentoring.
Experience with pair programming and collaborative development.
Extensive experience designing and implementing automated testing frameworks (unit, integration, contract, end-to-end).
Demonstrated history of automating manual workflows and processes.
Familiarity with AI-assisted development tools.
DevOps proficiency: Docker, Kubernetes, cloud-native deployments.
Hands-on with AWS, Azure, or GCP; infrastructure automation.
Experience with observability tools (Prometheus, Grafana, Dynatrace, Splunk).
Batch/data processing: Apache Spark, Spring Batch.
Data visualization: Tableau, Power BI, or similar.
Exposure to AI/ML projects and model integration.
Strong communication and stakeholder management.