Job description
As a Fellow Engineer at New Relic, you will play a crucial role in exploring new innovations and performing proof of concepts to enhance our AI and machine learning solutions for optimizing and automating IT operations. You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of New Relic’s AIOps platform.
What you'll do
- Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on New Relic’s AIOps platform.
- Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations.
- Design, develop, and maintain AIOps solutions that can monitor and analyze IT data in real time, predict incidents, and automate responses.
- Develop and implement machine learning models for anomaly detection, root cause analysis, leveraging both supervised and unsupervised learning techniques.
- Implement data processing pipelines that can handle petabytes of data in real-time, leveraging technologies such as Apache Kafka, Apache Flink, and Apache Spark.
- Develop and maintain custom integrations with third-party IT tools and systems to enhance the AIOps platform’s capabilities.
- Monitor the AIOps platform’s performance and troubleshoot issues as they arise.
- Contribute to the documentation and knowledge base to help other teams understand and use the AIOps platform effectively.
What your playground will look like:
- A constantly evolving architecture, with hundreds of containerized services across multiple agile teams.
- A hybrid datacenter/cloud environment ingesting over 200 petabytes of data per month, and accepting over 70 billion HTTP requests a day from our customers.
- Java, Kafka, Istio, Kubernetes, MySQL, Go and that’s just the beginning of the technologies in our stack.
This role requires
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Science, or a related field.
- A minimum of 10 years of software or data engineering experience
- 3+ years of experience designing and implementing AIOps solutions in a SaaS or cloud environment.
- Extensive experience in LLMs, AI, and machine learning, with a deep understanding of relevant technologies and tools.
- Demonstrated experience building AI proof-of-concepts
- Strong understanding of Observability and the challenges associated with monitoring complex distributed systems.
- Experience with generative AI techniques, such as GANs and VAEs, and a track record of applying them in practical settings.
- Passion for continuous learning and staying up-to-date with the latest trends and technologies in the AI and Observability industries.
- Strong collaboration skills and ability to work effectively with cross-functional teams.
- Proven track record of delivering results and meeting or exceeding business objectives.
- Strong written and verbal communication skills.
Bonus points if you have
- Experience with big data technologies such as Apache Kafka, Apache Flink, and Apache Spark.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
We're looking for bold and passionate people to be a part of our mission to help every engineer do their best work, every day, using data, not opinions, at every stage of the software lifecycle. We'd love to have you apply, even if you don't feel you meet every single requirement. What's most important to us is finding authentic and accountable people who feel connected to our mission and values, not just candidates who check off all the boxes.
We believe in empowering all Relics to achieve professional and business success through a workforce model called Flex First. Flex First allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.
Read more about Flex First.
Our hiring process
Please note that visa sponsorship is not available for this position.
In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers’ means that a criminal background check is required to join New Relic.
We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.
New Relic is an equal opportunity employer. We eagerly seek applicants of diverse background and hire without regard to race, color, gender identity, religion, national origin, ancestry, citizenship, physical abilities (or disability), age, sexual orientation, veteran status, or any other characteristic protected by law.
Interested in the details of our privacy policy? Read more here.
Estimated Base Pay Range: $ 230,000 - $ 288,000
Consistent with New Relic's values and applicable law, we provide the following information to promote pay transparency and equity. The base pay range above represents a good faith estimate of the low and high end base pay range for the listed position. This role may be eligible for the corporate bonus plan (or, if a sales role, a commission plan as defined in the sales incentive plan document), participation in our stock equity plan, short- and long-term incentives, and other department-specific awards that may be applicable. In addition, New Relic provides a variety of benefits to employees. The range provided may also represent candidate ranges and may not reflect the full range or geographic differential for an individual tenured employee.
