Senior Software Engineer Research Department

Job Description

Granulate, an Intel Company, empowers enterprises and digital native businesses with real-time, continuous application performance optimization and capacity management, leading to up to 45% reduced cloud and on-prem compute costs, with no code changes needed.

Our dedicated R&D team is spearheading innovations in the Big Data realm, specifically focusing on Spark. We are in search of a highly motivated, result-driven Performance Researcher with a strong background in backend development and scalability to join our dynamic team. While prior knowledge in Java/Spark is beneficial, we truly value your ability to learn swiftly on the job and contribute to our groundbreaking optimization solutions.

Responsibilities

• Explore new paths for cost reduction / optimizations for the product.
• Keep expanding the range of adoption for the product (targeting new solutions, frameworks & technologies).
• Expand & own a scalable, realtime autonomous system that implements the optimizations
• Instrumentation& enhancement: develop, maintain, and enhance our Java agent that performs low-level instrumentation of Spark applications to optimize their performance.
• Backend systems Scaling: design, implement, and scale robust backend systems that continuously configure our optimization agent, ensuring high availability and performance for our growing clientele.
• Continuous learning: stay abreast of the latest developments in Big Data technologies, especially Spark, and leverage this knowledge to suggest and implement improvements to our optimization strategies.
• Performance analysis& optimization: collaborate with the team to analyze application performance data, identify bottlenecks, and devise strategies to overcome performance-related challenges, ensuring optimal scalability.
• Collaboration& mentorship: work closely with other team members, providing guidance, mentorship, and expertise, fostering a culture of continuous improvement and knowledge sharing.
  
  

Qualifications

• 5+ years of proven experience in backend system development with a focus on scalability, performance, and reliability.
• Technical Proficiency: Strong coding skills with Python, with an emphasis on developing scalable backend systems. Prior experience with Java/Spark/Databricks, MapReduce, YARN is advantage.
• Learning agility: demonstrated ability to quickly learn and adapt to new technologies and methodologies.
• Problem-Solving Skills: Excellent analytical and problem-solving abilities, with a knack for identifying and resolving performance bottlenecks.
• Team Player: Strong interpersonal and communication skills, with the ability to collaborate effectively in a team setting.
  
  

Inside this Business Group

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

Working Model

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.