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Ibm Backend Jobs (NOW HIRING)

... back end RDBMS (Oracle and DB2 preferred) At least 4 years of hands on experience in Design, Development & Build activities in IBM Datastage(v8.5 and above) ETL Projects At least 3 years of ...

... back end RDBMS (Oracle and DB2 preferred) At least 4 years of hands on experience in Design, Development & Build activities in IBM Datastage(v8.5 and above) ETL Projects At least 3 years of ...

... back-end that include JAVA, J2EE, Webservices (REST/SOAP), Design Patterns, Microservices ... using IBM DB2, SQL/Stored Procedure, XML, JavaScript, HTML etc. โ€ข 8+ years of relevant and ...

... back end RDBMS (Oracle and DB2 preferred) At least 4 years of hands on experience in Design, Development & Build activities in IBM Datastage(v8.5 and above) ETL Projects At least 3 years of ...

... back end RDBMS (Oracle and DB2 preferred) At least 4 years of hands on experience in Design, Development & Build activities in IBM Datastage(v8.5 and above) ETL Projects At least 3 years of ...

At least 4 years of experience with back end RDBMS and data modeling / database design(Oracle and ... Knowledge of IBM Datastage Architecture, Stages/Transformations, Design, ETL flow, advanced SQLs

Sr Backend Java Developer

Tampa, FL ยท On-site

$113K - $147K/yr

Java, Spring Boot, Microservices, Kafka, IBM MQ * Trades/funds come in to client's and they are all processed by these applications using MQ to route to the correct place. * These applications ...

At least 2 years of experience with back end RDBMS (Oracle and DB2 preferred) * At least 2 years of hands on experience in Design, Development & Build activities in IBM Datastage(v8.5 and above) ETL ...

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Ibm Backend information

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How much do ibm backend jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for ibm backend in the United States is $17.95, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.23 per hour, depending on experience, location, and employer.

What is an IBM Backend Developer?

An IBM Backend Developer is a software engineer who specializes in building and maintaining the server-side logic, databases, and core functionality of applications, often using IBM technologies such as IBM Cloud, IBM WebSphere, or IBM DB2. They work behind the scenes to ensure systems run efficiently, securely, and can scale to meet business needs. Their responsibilities include API development, database management, integration of third-party services, and optimizing application performance. IBM Backend Developers often collaborate closely with frontend developers, DevOps engineers, and project managers to deliver comprehensive software solutions.

What are the key skills and qualifications needed to thrive as an IBM Backend Developer, and why are they important?

To thrive as an IBM Backend Developer, you need strong programming skills (such as Java, Python, or Node.js), a solid understanding of backend frameworks, databases, and enterprise systems, often supported by a degree in computer science or a related field. Familiarity with IBM Cloud, WebSphere, DB2, and DevOps tools, as well as relevant IBM certifications, are typically required. Analytical thinking, collaboration, and effective problem-solving are essential soft skills to excel in cross-functional development teams. These skills ensure efficient, scalable solutions and seamless integration within complex IBM-based enterprise environments.

What are some common challenges faced by IBM Backend Developers, and how can they be addressed?

IBM Backend Developers often encounter challenges such as integrating legacy systems with modern cloud architectures, ensuring high scalability and security, and managing complex data workflows. Successfully addressing these requires strong knowledge of IBM technologies like WebSphere, DB2, and Cloud Pak, as well as collaboration with front-end, DevOps, and security teams. Staying updated with IBM's evolving toolsets and leveraging best practices in code documentation and API management also help mitigate these challenges and foster a productive development environment.

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

AspectIbm BackendJava Backend Developer
Required CredentialsTypically IBM certifications, specialized IBM backend toolsJava certifications, such as Oracle Certified Professional
Work EnvironmentEnterprise IBM systems, mainframes, cloud platformsWeb servers, application servers, cloud environments
Employer & Industry UsageLarge corporations, finance, healthcare using IBM solutionsTech companies, startups, enterprises using Java-based systems
Common Search & ComparisonOften compared for backend roles in enterprise systemsCommonly compared for web and application backend development

While both roles focus on backend development, Ibm Backend specialists work primarily with IBM-specific technologies and enterprise systems, whereas Java Backend Developers focus on Java-based applications across various industries. The choice depends on the company's tech stack and project requirements.

More about Ibm Backend jobs
Infographic showing various Ibm Backend job openings in the United States as of May 2026, with employment types broken down into 36% Full Time, 63% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $37,333 per year, or $17.9 per hour.

IBM WatsonX Developer

Futran Tech Solutions Pvt. Ltd.

Hartford, CT โ€ข On-site

Full-time

Posted 8 days ago


Job description

Start Date: As soon as possible
Duration of the engagement: 6+ months
Location: Hartford, CT - Hybrid In office Tuesday to Thursday; Remote Monday & Friday
The Health Care Benefits Delivery organization within client's Data, Digital, Analytics, and Technology (DDAT) division is seeking a Full Stack Developer / Conversational AI Engineer to help deliver a next-generation Conversational AI platform. This role focuses on enabling members and providers to receive timely, accurate health insurance answers through the digital channels of their choice, improving overall access, clarity, and experience.
In this role, you will drive the end-to-end design and implementation of conversational experiences, specializing in IBM WatsonX Orchestrate and related Conversational AI technologies. You will architect, build, and optimize rich conversational flows, integrate enterprise data sources, and ensure responses are context-aware, accurate, and trustworthy. As an expert on the full application stack, you will align features and user stories with solution designs, maintain a holistic understanding of the platform, and collaborate closely with product, UI/UX, and backend teams to influence requirements, deliver scalable solutions, and ensure a seamless, user-centric experience from end to end.
Responsibilities
  • Participate in feature and user story refinement sessions with key stakeholders to clearly articulate requirements, identify gaps, and recommend adjustments as needed.
  • Recommend and propose technical solutions aligned to business requirements, prioritization, scalability, and cost considerations.
  • Design, develop, and implement end-to-end Conversational AI solutions, including chatbot and voice experiences.
  • Architect and build AI-driven conversational flows that integrate with external APIs, cloud functions, and enterprise systems.
  • Identify data needs for use cases and partner with integration architects and backend teams to map enterprise services to conversational and user interface layers.
  • Collaborate closely with product, UI/UX designers, backend engineers, and other developers to design, develop, test, deploy, and maintain conversational AI solutions.
  • Apply clean coding standards and engineering best practices throughout development.
  • Integrate chatbot solutions across multiple platforms and deployment channels, including chat and voice.
  • Troubleshoot, debug, tune, and deploy conversational agents, ensuring reliability and performance across channels.
  • Leverage AI, NLP, and cognitive machine learning technologies to enhance the accuracy, relevance, and effectiveness of conversational agents.
  • Tune and enhance Speech-to-Text models to improve conversational understanding and user experience.
  • Address technical issues, risks, and dependencies as part of solution design and delivery.
  • Continuously build expertise in emerging technologies and analytics techniques, contributing to innovation and business value.

Required Qualifications:
Understanding of architecture patterns to enable scalable solutions for data management, BI, and analytics.
Deep understanding of data lifecycle management (operational databases, warehouses, integration and governance, pipelining, analytics enablement, and reporting).
Ability to break down Agile Stories into discreet tasks with estimates for planning.
Experienced full stack developer that has worked on complex enterprise scale applications.
Strong collaboration and communication skills within and across co-located teams
Experience delivering solutions through a SAFe delivery methodology
Dev Skills Required:
5+ years' experience as a Full Stack Developer using NodeJS/TypeScript & Java focusing on Spring and creating RESTful web services.
3+ years of Chatbot development experience with IBM WatsonX Orchestrate, or any other similar chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai)
3+ years training and improving intent recognition by curating the appropriate training data sets
3+ years applying Conversational AI best practices (e.g. NLP and training data best practices)
5+ years of debugging and optimization skills.
5+ years of experience creating unit/ integration testing using either Selenium or Junit, etc.
5+ years' experience developing and delivering microservices on OpenShift container platform.
5+ years' experience with either Postman, or SoapUI or Swagger or TeamSite, or Splunk.
5+ years' experience of participating in all aspects of agile software development, including design, implementation, and deployment.
5+ years of experience with cloud development and deployment principles using either AWS, Azure, or Google Cloud.
Enterprise DevOps & Deployment methods:
Experience with either Jenkins, Github, or Octopus deployment (CI/CD process).
Preferred Qualifications:
Experience with AngularJS / React / JSP /CSS / HTML / Python
Chatbot experience with any other similar chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai).
Familiarity with SSML (Speech Synthesis Markup Language) tagging for TTS refinement
Understanding of data and analytics tools including Tableau, Alation, DataRobot, Trifacta.
Critical thinker, with the ability to make decisions on technology aligned to business needs for analytics and data engineering functions.
Highly motivated, independent worker with a pulse on industry trends and best practices.
Good business acumen skills and professional communication skills.
Ability to work collaboratively in a highly matrixed environment.
Education
Bachelor's degree in computer science and engineering or STEM or equivalent experience ( high school + 4 years of relevant experience.)