Senior Backend Engineer

IBM


Date: 4 days ago
City: Lowell, MA
Contract type: Full time
Introduction

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think

along with and sell. To make markets. To invent. To collaborate. Not just to do something better,

but to attempt things you've never thought possible. Are you ready to lead in this new era of

technology and solve some of the world's most challenging problems? If so, lets talk

Your Role And Responsibilities

  • Thrive in a fast-paced, collaborative, cross-functional, agile environment.
  • Collaborate with product management to define desired capabilities to drive technical designs and deliver the new functionality to customers.
  • Contribute procedures, tools and practices to optimize team productivity.
  • Analyze problems from internal and external customers, debug and provide fixes.
  • Deliver initial quality, design for automated testability, and write unit tests.

Required Technical And Professional Expertise

  • 5+ years of experience delivering enterprise level software preferably in Golang, Java or C#, other languages also considered
  • Proficiency with object-oriented design, data structures, algorithms, and asynchronous architectural design.
  • Professional experience building REST APIs.
  • Professional experience with relational databases, schema design, and SQL.
  • Experience with database implementations (query optimization, index generation, caching)
  • Hands-on experience with Kubernetes and related technologies (helm, Prometheus, etc.
  • Strong understanding of containerization technologies like Docker
  • Experience with cloud providers like AWS, Azure, GCP or equivalent
  • Proficiency in version control systems like Git

Preferred Technical And Professional Experience

  • Ability to handle multiple competing priorities in a fast-paced environment.
  • Experience developing Software as a Service (SaaS) applications and understanding the impact of this architecture in a deployment environment.
  • Experience building big data pipeline and auto-scale services.

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