Software Engineering Software Engineer II - HashiCorp Vault, Radar, Boundary Professional Multi

At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation.

With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world.

Your role and responsibilities

We’relooking for Mid-Level Engineers with a deep backend focus to join our team. In this role, you can expect to:

• Design, prototype and implement features and tools while ensuring stability and usability.
• Collaborate closely with Product Design and Product Management partners, as well as engineers on your team and others.
• Follow through on assigned tasks to build and ship medium-sized features, managing task expectations as needed.
• Engage in team discussions around diagnosis, planning, and workflow improvements based on product requirements.
• Apply independent judgment within team practices to determine appropriate actions and solutions.
• Address unforeseen challenges, making recommendations to keep tasks on track.
• Debug and resolve medium-level bugs in products or solutions tomaintainquality.
• Review technical contributions for quality and consistency, collaborating with stakeholders to resolve issues and recommend technical or architectural changes.
• Suggest improvements to current processes and propose solutions to enhance the efficiency of architectural components and design.
• Participate in on-call rotations, pairing, and team planning to support product needs.
• Engage in team discussions around diagnosis, planning, and workflow improvements based on product requirements.

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

• Hands-on experience as an engineer working in Golang.
• You have professional experience developing with modern programming languages and frameworks.
• You have experience working with distributed systems, particularly cloud providers such as AWS, Azure, or GCP, with a focus on scalability, resilience, and security.
• Experience in reviewing & refactoring code & making suggestions that improve the codebase and product.
• Writing tests that cover complex and edge cases.
• Demonstrated ability to build trust and foster relationships across teams and stakeholders, with a focus on valuing diverse perspectives and proficiently managing expectations.
• Cloud-native mindset and solid understanding of Dev Ops principles in a cloud environment.
• Proven decision-making abilities with an intentional, data-driven approach to solving complex technical challenges and delivering results.
• Strong customer focus and systems-thinking mindset, with a commitment to personal accountability, self-awareness, and continuous improvement in support of high-quality outcomes.

• You have experience using
  
  Hashi
  
  Corp products (Terraform, Packer, Waypoint, Nomad, Vault, Boundary, Consul).
• You have prior experience working in cloud platform engineering teams.
• Emerging experience in mentoring team members, helping to enhance their problem-solving, critical thinking, and planning skills.

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…