Sr. Software Engineer

  • Multiple Locations See All
    San Jose

    Cambridge

    Research Triangle Park

    Austin

  • Software Engineering
  • Professional

Apply now

Sr. Software Engineer

  • Multiple Locations See All
    San Jose

    Cambridge

    Research Triangle Park

    Austin

  • Software Engineering
  • Professional

Apply now
Introduction
As a key member of our cloud-enabled integration platform team, you will play a vital role in crafting exceptional software experiences. Your responsibilities will encompass the design and implementation of innovative integration platforms and products that run at cloud-scale, fine-tuning and sustaining existing code for optimal performance, and guaranteeing top-notch quality through rigorous testing and debugging.

Your Role and Responsibilities
From day one you’ll join one of our scrum teams and begin using lean methodologies to steadily deliver customer value. You’ll be responsible for the delivery of high quality well-documented features as well as creating and maintain reusable test automation infrastructures. You will also be a participant in a full agile lifecycle, from feature definition to design and implementation. You and your team will be challenged to work together to continuously improve our methodologies and accelerate the value stream.
Collaboration is at the heart of what we do, and you’ll be working closely with fellow developers, designers, and product managers to ensure our software aligns seamlessly with user expectations.

Key Responsibilities

  • Write technical design documents, and participate in their review
  • Design, implement and maintain software components
  • Contribute ideas toward the enhancement and/or modification of critical components to improve/optimize the product
  • Strong troubleshooting skills and willingness to put the customer first
  • Take ownership and ensure proactive closure for problem reports that fall within or appear to fall within area of responsibility, work closely with QA and technical support to quickly and successfully closeout reported problems
  • Readiness to take on new challenges as the business relentlessly pursues the highest value opportunities for industry leadership and success


Required Technical and Professional Expertise

  • Strong server-side core Java, multi-threaded and Data structures usage a must
  • Strong understanding of Microservices based architecture and REST
  • Familiarity with build tools and CI/CD, Jenkins, Gradle, ANT, Maven
  • Experience with Agile methodologies and best practices
  • Certification in AWS, Azure or GCP infrastructure is desired.
  • Experience with Docker, OpenShift, Kubernetes
  • Knowledge of HTTP, OpenAPI, SAML, XML, gRPC, JMS, SOAP
  • Expertise with DevOps concepts and associated tools and pipeline processes
  • Experience with Cloud Native architecture and development is plus
  • Client-side JS, other scripting languages (e.g. Python, Groovy)
  • Familiarity with Angular and accompanying technologies (HTML, CSS, JS)
  • Experience with Cloud Data Integration and Streaming Platforms like Kafka, Pulsar
  • Bachelor’s degree in computer science, engineering, or a related field, or related work experience


Preferred Technical and Professional Expertise

  • Experience in product development strongly preferred.
  • Experience in Spring framework
  • Strong skills in web development technologies and frameworks such as Angular and React
  • Very good Interpersonal/communication skills and experience coordinating information and activities among groups with differing agendas, across multi-functional areas
  • Demonstrated capability to provide technical leadership

Want to know what it’s like to be an IBMer?


About Business Unit

IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.