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Remote Java Backend Developer Jobs in Coraopolis, PA

Air

Senior AI Engineer, Security Infrastructure

Pittsburgh, PA · On-site +1

$105K - $143K/yr

Build scalable APIs, internal platform services, and infrastructure tooling that improve developer ... backend infrastructure, distributed systems, security systems, or AI/ML infrastructure. * Bachelor ...

New

BNY

Director, Engineering Group Leader

Pittsburgh, PA · On-site +1

$191K - $267K/yr

Remote work may be permitted within a commutable distance from the worksite. REQUIREMENTS: Bachelor ... using Java, Spring Boot Framework, Maven, REST APIs, IBM MQ, and Oracle PL/SQL; improving the ...

Karoo Health

Senior Software Engineer

Pittsburgh, PA · On-site +1

$118K - $156K/yr

The Role Karoo Health is seeking a skilled and dedicated developer to join our Engineering team. As ... Minimum 5 years of dedicated professional experience in backend or full stack engineering, ideally ...

Healthcare

ENGR SR SOFTWARE DEVT

Pittsburgh, PA · Remote

$118K - $156K/yr

Java, C# or Python in a private, public, government or military environment. * 1 year experience ... Remote Travel: May include up to 20% domestic Relocation Assistance: May be authorized Must be ...

Healthcare

ENGR SR SOFTWARE DEVT

Pittsburgh, PA · Remote

$118K - $156K/yr

Java, C# or Python in a private, public, government or military environment. * 1 year experience ... Remote Travel: May include up to 20% domestic Relocation Assistance: May be authorized Must be ...

Deloitte

Epic Denials Manager

Pittsburgh, PA · Remote

As an Epic Denials Manager, you will help deliver back-end revenue cycle management (RCM) services ... Work you'll do Epic Denials Manager on the AI & Engineering team, you will be responsible for the ...

Motional

Staff Front End Engineer

Pittsburgh, PA · On-site +1

$172K - $229K/yr

Exposure to backend systems (Node, Python) * Experience in Game Development or 3D Visualization We ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Motional

Principal Technical Lead Manager

Pittsburgh, PA · On-site +1

$176K - $242K/yr

Experience leading a team of engineers working in both office and remote environments * Proven ... Exposure to backend systems (Node, Python) * Experience in Game Development or 3D Visualization We ...

Deloitte

Epic Denials Management Operator

Pittsburgh, PA · Remote

$17.50 - $23.25/hr

... Engineering practice to support hospital denials management to deliver back-end Revenue Cycle ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

BNY

Senior Vice President, Solution Architect

Pittsburgh, PA · On-site +1

$169K - $218K/yr

Remote work may be permitted within a commutable distance from the worksite. REQUIREMENTS:Bachelor ... The ten (10) years of experience must include utilizing ORACLE PL/SQL, JAVA Programming, and Spring ...

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Remote Java Backend Developer information

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How much do remote java backend developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote java backend developer in Coraopolis, PA is $52.10, according to ZipRecruiter salary data. Most workers in this role earn between $46.30 and $60.05 per hour, depending on experience, location, and employer.

What is a remote Java backend developer?

A Remote Java Backend Developer designs, develops, and maintains server-side applications using Java while working from a remote location. They focus on building APIs, handling databases, and ensuring performance and security. This role often involves working with frameworks like Spring Boot and integrating various services. Remote developers collaborate with teams using communication tools and manage tasks through agile methodologies.

What does a remote Java backend developer do?

As a Remote Java Backend Developer, your daily responsibilities often include designing, developing, and maintaining server-side logic and APIs, writing efficient and testable code using Java and related frameworks, and collaborating with front-end developers or DevOps engineers to integrate user-facing elements. You’ll regularly participate in remote team meetings, contribute to code reviews, and troubleshoot or optimize application performance based on user requirements. Additionally, keeping thorough documentation and adhering to best security and scalability practices are part of your routine. These tasks ensure the backend systems remain robust, efficient, and seamlessly support business needs.

What skills and qualifications are needed to be a remote Java backend developer?

To thrive as a Remote Java Backend Developer, you need solid expertise in Java programming, object-oriented design, and backend frameworks such as Spring, often supported by a bachelor’s degree in computer science or a related field. Familiarity with databases (like MySQL or MongoDB), version control systems (such as Git), and experience with RESTful APIs are typically important, with professional certifications like Oracle Certified Professional Java Programmer being advantageous. Excellent problem-solving abilities, clear remote communication, and collaborative teamwork skills are vital soft skills for this remote role. These capabilities are crucial for delivering reliable backend solutions, meeting project deadlines, and maintaining effective team collaboration across distributed work environments.

Are remote Java backend developers in demand?

Remote Java backend developers are in high demand due to the widespread adoption of cloud computing, microservices, and scalable backend systems. Companies seek developers skilled in Java, Spring Boot, and related technologies to support digital transformation and remote work environments.

How much does a remote Java backend developer earn?

A remote Java backend developer's salary typically ranges from $70,000 to $130,000 annually, depending on experience, location, and skill level. Senior developers with expertise in frameworks like Spring and experience with cloud services may earn higher salaries, especially in competitive markets.

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Remote Java Backend Developer jobs near you

Senior AI Engineer, Security Infrastructure

Air

Pittsburgh, PA • On-site, Remote

$105K - $143K/yr

Full-time

Posted 2 days ago

New

Job description

Company Description
Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.
Job Description

We are seeking an experienced Senior AI Engineer specializing in AI security to join our Agentic AI team as we scale our agentic capabilities across all levels of the U.S. government.
Over the past year, we have seen rapid adoption of our AI agent, Ace. As agents gain access to increasingly powerful tools, data, and workflows, securing these systems presents a fundamentally different set of challenges from securing traditional software.

AI security is not a solved problem. This role sits at the intersection of applied AI research, offensive security, and production systems engineering. You will identify how agentic systems can fail or be exploited, develop new approaches for detecting and mitigating those failures, and build the infrastructure necessary to deploy capable AI agents securely in adversarial environments.

You will work directly with the engineers building our agent runtime, evaluation infrastructure, tools, and production AI systems. The goal is not simply to identify vulnerabilities - it is to turn what we learn into durable security architecture, automated evaluations, and engineering primitives that make our entire AI platform more secure.

This role is a full-time position located out of our office in Pittsburgh, PA or Arlington, VA and Remote for those outside of those cities. 

This role may require up to 25% travel

Scope of Responsibilities
  • Research and develop new approaches to AI red teaming, adversarial testing, security evaluation, and robust inference.
  • Threat model agentic AI architectures, identifying trust boundaries, attack surfaces, privileged capabilities, and potential failure modes.
  • Design adversarial evaluations targeting threats such as prompt injection, indirect prompt injection, tool abuse, privilege escalation, data exfiltration, context or memory poisoning, and unintended agent behavior.
  • Build automated security evaluation and regression frameworks that continuously test agents, models, tools, and infrastructure against known and emerging attacks.
  • Translate successful attacks and research findings into production mitigations, architectural improvements, and reusable security controls.
  • Design secure execution environments for AI agents interacting with tools, code, data, and external systems.
  • Build and harden sandboxing and isolation mechanisms for executing agent-generated or otherwise untrusted workloads.
  • Design capability boundaries, permission models, and least-privilege access controls for agent tools and services.
  • Develop scalable AI infrastructure and services supporting secure model inference and agent execution.
  • Own and improve production infrastructure across Kubernetes, AWS, networking, storage, and compute.
  • Implement security controls around identity and access management, secrets, network isolation, containers, and service-to-service communication.
  • Build scalable APIs, internal platform services, and infrastructure tooling that improve developer productivity, system reliability, and security.
  • Improve observability across AI systems through structured logging, metrics, distributed tracing, dashboards, security telemetry, and automated alerting.
  • Investigate complex production and security failures across models, agents, distributed systems, and infrastructure.
  • Optimize performance, latency, and infrastructure cost while maintaining strong reliability and security guarantees.
  • Stay current with emerging attacks against LLMs and agentic systems and rapidly translate relevant research into practical evaluations and defenses.
Qualifications
  • U.S. Citizenship is required
Required Skills: 
  • 5+ years of experience building production software, backend infrastructure, distributed systems, security systems, or AI/ML infrastructure.
  • Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Cybersecurity, Data Science, or a related technical field, or equivalent practical experience.
  • Demonstrated experience in AI red teaming, adversarial machine learning, offensive security, systems security, or related security research.
  • Experience evaluating AI systems beyond basic direct prompt injection attacks.
  • Strong understanding of how modern LLM and agentic systems operate, including model inference, context management, tool use, retrieval, and multi-step agent execution.
  • Strong intuition for how AI systems can fail when exposed to adversarial users, untrusted data, external tools, and complex production environments.
  • Experience threat modeling complex systems and translating identified risks into concrete engineering controls.
  • Strong programming experience in Python and experience building production-quality software.
  • Experience operating production services on Kubernetes and cloud platforms such as AWS, GCP, or Azure.
  • Strong understanding of networking, distributed systems, containers, service orchestration, and scalable architectures.
  • Experience designing APIs, services, asynchronous systems, and event-driven architectures.
  • Comfortable debugging failures that span application code, AI models, distributed systems, and infrastructure.
  • Able to move between research and engineering: reading new research, developing an attack or defense, validating it experimentally, and turning the result into a production system.
  • Passionate about building secure AI systems and proactively defending against novel attack vectors.

Desired Skills: 

  • Experience designing or securing AI agent runtimes and tool-execution environments.
  • Experience building secure code execution sandboxes, container isolation, microVMs, or other mechanisms for running untrusted workloads.
  • Experience with cloud security, infrastructure hardening, IAM, secrets management, network isolation, and zero-trust architectures.
  • Experience with offensive security, penetration testing, vulnerability research, or exploit development.
  • Experience developing automated adversarial evaluations or integrating security evaluations into CI/CD pipelines.
  • Experience with adversarial machine learning, model robustness, or inference-time defenses.
  • Familiarity with AI security frameworks and threat taxonomies such as MITRE ATLAS, OWASP guidance for LLM/GenAI applications, or the NIST AI Risk Management Framework.
  • Experience securing RAG systems, vector stores, model gateways, or other components of modern AI infrastructure.
  • Experience with software supply-chain security and securing model, dependency, and container artifacts.
  • Experience working in government, defense, or other high-security environments.
We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.
 
Air is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.