Senior Software Engineer

IBM • Lowell, MA • 12h ago

Introduction

Are you a seasoned backend software engineer driven by a commitment to excellence in building technical solutions for large-scale, high-performance distributed systems? Do you have a curious mindset and a passion for continuous learning and improvement? If you thrive in an agile, fast-paced environment, we want to hear from you.

About Us

We are a collaborative, high-performing team of developers, product managers, and designers dedicated to solving complex business challenges with elegant, innovative solutions. Our proven track record includes delivering impactful features and functionality that consistently delight our customers.

Your role and responsibilities

Your Role and Responsibilities

You will work with your scrum team to deliver impactful and valuable features operating on a bi-weekly sprint cadence. You will drive cross-team initiatives by working with product managers, user experience designers, and other engineers to achieve high-quality solutions. In addition, be part of the on-call rotation to help mitigate and solve any issues that may arise from the day-to-day operations of running a service.

Key Responsibilites include:

Focus on ingesting, storing, processing, and analyzing large datasets

Create scalable, high-performance web services for tracking data

Translate complex technical and functional requirements into detailed designs

Serve as a mentor for junior staff members by conducting technical training sessions and reviewing project outputs

Investigate alternatives for data storing and processing to ensure implementation of the most streamlined solutions

Required technical and professional expertise

Required Professional and Technical Expertise

Extensive Experience: A minimum of 7 years in developing and delivering enterprise-grade software solutions, ideally using Java, or Scala. Proficiency in other programming languages will also be considered.

Technical Expertise: Strong knowledge of object-oriented design principles, data structures, algorithms, and asynchronous architectural design.

API Development: Proven experience in designing and building RESTful APIs, with additional expertise in developing large-scale data processing pipelines.

Database Skills: Hands-on experience with relational databases, including schema design and SQL. Familiarity with database optimization techniques such as query optimization, index creation, and caching strategies.

Containerization & Orchestration: Practical experience with Kubernetes alongside a deep understanding of containerization technologies like Docker.

Cloud Technologies: Competence with major cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP)

Experience managing Spark clusters, with all included services and ability to solve any ongoing issues with operating the cluster.

Experience working with Big data pipelines

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 in infrastructure deployment tools such as terraform, etc.

Experience in production on-call handling; Experience in monitoring and troubleshooting tools such as Datadog, Splunk, PagerDuty, etc.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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