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Backend Engineer Java Jobs in Center Point, AL (NOW HIRING)

Manages back-end maintenance of all systems, technical support, and support business processes ... Proficient SQL skills, skilled in performing basic programming using applicable languages. * Strong ...

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Backend Engineer Java information

See Center Point, AL salary details

$9

$50

$67

How much do backend engineer java jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for backend engineer java in Center Point, AL is $50.36, according to ZipRecruiter salary data. Most workers in this role earn between $44.76 and $58.08 per hour, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a backend engineer Java?

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 cities near Center Point, AL are hiring for Backend Engineer Java jobs? Cities near Center Point, AL with the most Backend Engineer Java job openings:

AI Cybersecurity Engineer Principal

Huntington

Birmingham, AL • On-site, Remote

Full-time

Posted 29 days ago


Job description

Description

The AI Cybersecurity Engineer Principle is responsible for designing, developing, and securing AI-driven solutions that enhance cybersecurity capabilities and enable safe enterprise adoption of artificial intelligence. This role bridges AI engineering, cybersecurity, and cloud platforms to deliver intelligent automation, advanced analytics, and secure application architectures. The position focuses on embedding security, governance, and risk controls into AI systems while driving innovation through agentic AI, automation, and data-driven decision-making.

Duties & Responsibilities

  • AI Solution Development: Design, build, and deploy AI/ML and generative AI applications to support cybersecurity operations and enterprise use cases.
  • Security Integration: Embed cybersecurity controls, secure coding practices, and data protection measures into AI applications and development pipelines.
  • Cyber Use Case Enablement: Develop solutions for threat detection, alert triage, vulnerability analysis, identity analytics, and risk scoring.
  • Automation & Agentic AI: Implement intelligent automation and agent-driven workflows to optimize cyber operations and reduce manual effort.
  • Data & Analytics: Engineer pipelines and analytics solutions for processing logs, telemetry, and security data to generate actionable insights.
  • Cloud & Platform Engineering: Deploy and manage scalable AI solutions in cloud-native environments using containers, APIs, and CI/CD pipelines.
  • System Integration: Integrate AI applications with enterprise and cybersecurity tools (SIEM, SOAR, IAM, data platforms).
  • Governance & Compliance: Ensure alignment with AI governance, regulatory requirements, and secure SDLC practices.
  • Collaboration: Partner with cybersecurity, engineering, data, and business teams to deliver secure, scalable AI capabilities

Basic Qualifications:

  • Bachelor's Degree or 4+ additional years of equivalent experience.
  • 8+ years of production support and design of Cyber Security technologies.
  • 8+ years of operational experience with security technologies.
  • 8+ years of implementing or utilizing technology lifecycles and best practices (SDLC lifecycle).

Preferred Qualifications

  • Experience in the implementation of cyber security tools (hardware and software)
  • Experience in participating and leading projects and implementing new technologies and solutions
  • Experience with agentic AI, Claude code, copilots, RAG architectures, and LLM orchestration frameworks
  • Experience implementing AI governance, model risk management, and security guardrails
  • Familiarity with cybersecurity platforms (SIEM, SOAR, EDR/XDR, vulnerability management, IAM tools)
  • Proficiency in modern programming languages such as Python, Java, .NET/C#, JavaScript/TypeScript, or Go, with strong API and backend development skills.
  • Demonstrated experience designing and developing RESTful APIs, microservices, and event-driven services to support enterprise AI and automation capabilities.
  • Strong hands-on software development experience with the ability to design, build, test, and deploy production-grade applications.
  • Ability to build and maintain a centralized AI agent registry that supports agent onboarding, unique agent identification, metadata management, ownership tracking, lifecycle status, versioning, and auditability.
  • Experience developing user interfaces and operational dashboards for monitoring, managing, and supporting AI agents, workflows, system health, and service activity.
  • Knowledge of data engineering, streaming analytics, and log/telemetry processing
  • Experience integrating applications with identity and access management platforms, including OAuth 2.0, OIDC, scoped tokens, service principals, managed identities, and role-based access controls.


Exempt Status: (Yes= not eligible for overtime pay) (No= eligible for overtime pay)

Yes

Workplace Type:

Remote

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.