
Job Information
IBM Senior Software Engineer in LOWELL, Massachusetts
Introduction
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
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
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