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Senior Site Reliability Engineer

DataVisor is a next generation security company that utilizes industry leading unsupervised machine learning to detect fraudulent activity for financial transactions, mobile user acquisition, social networks, commerce and money laundering. Our solution is used by some of the largest internet properties in the world, including Pinterest, FedEx, AirAsia, Synchrony Financial, Zomato and Ping An, to protect them from the ever-increasing risk of fraud. Our award-winning software is powered by a team of world-class experts in big data, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us!We are seeking a Senior Site Reliability Engineer (SRE) to join our growing team. The ideal candidate will have a passion for building reliable systems, experience with automation, and a solid understanding of large-scale distributed systems. You will work closely with the engineering team to improve reliability, scalability, and performance across our infrastructure.You will report to CTO direclty and be working with a team of seasoned engineers to automate, increase the reliability and enhance the security of our production environment. Projects include scaling our global, multi-cloud footprint, optimize our large real-time decision platform and improve the reliability of our global cloud footprint.Requirements5+ years of experience with production environment running Linux3+ years of experience working with cloud solutions such as AWS, Azure or AliyunFamiliar with big data technology such as Spark and/or FlinkLove to automate tasks through coding and scriptingExperience with algorithms, data structures, complexity analysis and software designCode well on Python, Java and BashKey Responsibiliti• es:Design, implement, and maintain release automation pipelines to streamline the deployment proce• ss.Develop systems for proactive monitoring, auto-diagnosis, and incident resolution in production environmen• ts.Work with big data platforms such as Apache Spark or Apache Flink, optimizing and scaling our data processing pipelin• es.Perform maintenance and troubleshooting for databases, with preference for experience in Yugabyte, ClickHouse, and MyS• QL.Ensure the reliability of cloud infrastructure using Kubernetes on AWS or G• CP.Participate in on-call rotation to ensure system reliability, with a focus on automation to minimize manual interventi• on.Collaborate with engineering teams to improve system performance and manage capacity planning.PREFERRED EXPERI• ENCEFamiliar with container technology such as Docker, Kubern• etesExperience with database system best practices on Yugabyte, Clickouse and MySQL• etc.Strong understanding of security best pract• icesCompleted a SOC 2/PCI certification in the past is a bigplusBen• efitsHealth insu• rancePTO and sick• days401KPlan

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What You Should Know About Senior Site Reliability Engineer, DataVisor

DataVisor, a next generation security company based in Durham, NC, is on the lookout for a Senior Site Reliability Engineer (SRE) to join our dynamic team. We’re serious about combating fraud with our innovative unsupervised machine learning solutions used by titans like Pinterest and FedEx. As a Senior SRE, you’ll have the chance to play a pivotal role in enhancing the reliability and performance of our systems. Your expertise will help us scale our operations across various cloud infrastructures and improve the efficiency of our real-time decision-making platform. Collaborating closely with our talented engineering team, you’ll be deeply involved in streamlining automation processes and ensuring the robustness of our production environment. If you thrive in an environment where innovation meets collaboration, and you’re driven by a passion for building reliable systems, DataVisor is the place for you! We offer a culture that's open, positive, and results-oriented, empowering you to not just meet challenges but also to extend your abilities to their fullest potential. Join us, and help shape the future of fraud detection while growing within a supportive community of experts in big data and secure infrastructure.

Frequently Asked Questions (FAQs) for Senior Site Reliability Engineer Role at DataVisor
What are the responsibilities of a Senior Site Reliability Engineer at DataVisor?

As a Senior Site Reliability Engineer at DataVisor, you will design and maintain release automation pipelines, develop proactive monitoring systems, troubleshoot databases, and ensure the reliability of our cloud infrastructure. You'll also collaborate with engineering teams to enhance system performance and participate in an on-call rotation.

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What skills are required for the Senior Site Reliability Engineer position at DataVisor?

To excel as a Senior Site Reliability Engineer at DataVisor, candidates should have over 5 years of experience in production environments using Linux, expertise with cloud solutions like AWS or Azure, and proficiency in coding with languages such as Python and Java. Familiarity with big data technologies like Spark or Flink is also essential.

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Does DataVisor prefer any particular experience for the Senior Site Reliability Engineer role?

Yes, DataVisor prefers candidates who have experience with container technologies such as Docker and Kubernetes, along with a strong understanding of security best practices. Previous involvement in SOC 2/PCI certification is considered a significant plus.

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What does the work environment look like for a Senior Site Reliability Engineer at DataVisor?

The work environment for a Senior Site Reliability Engineer at DataVisor is collaborative and open. We prioritize continuous improvement and innovation, allowing our engineers to propose new ideas and suggest enhancements actively. Our team is results-driven, and every member’s contribution is highly valued.

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What growth opportunities does DataVisor offer for a Senior Site Reliability Engineer?

At DataVisor, growth opportunities are abundant for a Senior Site Reliability Engineer. We support professional development through mentorship, access to training resources, and the chance to work on diverse projects which enhance your skills and expand your knowledge in cutting-edge technologies.

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Common Interview Questions for Senior Site Reliability Engineer
How do you approach incident management as a Senior Site Reliability Engineer?

When discussing incident management, focus on your structured approach to diagnosing issues, using logging and monitoring tools, and ensuring that incidents are resolved promptly. Emphasize your experience with post-mortems and how they help improve future reliability.

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Can you explain your experience with cloud infrastructure at DataVisor?

Highlight specific cloud platforms you’ve worked with, such as AWS or Azure. Discuss how you’ve optimized processes, implemented security measures, and ensured the reliability of services. Be sure to mention any experience with Kubernetes for managing containerized applications.

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What scripting languages are you proficient in as a Senior Site Reliability Engineer?

Mention your proficiency in scripting languages like Python, Java, and Bash, emphasizing real-life examples of how you used these languages to automate tasks, improve system performance, or troubleshoot issues.

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How do you ensure continuous improvement in your systems?

Discuss your commitment to proactive monitoring and regular system evaluations. Share how you collaborate with teams to analyze performance metrics and implement improvements through coding and process optimizations.

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Can you describe a challenging project you've worked on?

Choose a project that showcases your problem-solving skills. Talk about specific challenges you faced with system performance, scalability, or automation, and how your interventions led to positive outcomes for the systems.

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How do you handle on-call responsibilities?

Discuss the importance of preparedness and efficient communication. Share strategies you use to minimize downtime and how you document incidents to aid knowledge sharing among the team.

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What strategies do you use to optimize large-scale distributed systems?

Explain your approach to performance tuning, including load balancing, optimized algorithms, and your experience with distributed database systems. Share instances where your optimizations led to enhanced system reliability.

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How familiar are you with big data technologies like Apache Spark?

Share your hands-on experience with big data tools like Spark or Flink. Detail specific use cases where you applied these technologies in your previous roles to drive data processing efficiency.

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Discuss your experience with database management.

Share your familiarity with databases such as Yugabyte, ClickHouse, and MySQL. Discuss how you’ve performed maintenance, optimization, and troubleshooting to ensure data integrity and reliability.

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Why do you want to work at DataVisor?

Prove your knowledge of DataVisor’s mission and how your skills align with their goals in combating fraud. Express your enthusiasm for working in a company that values innovation and collaboration while enhancing security measures.

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DataVisor is the leading fraud detection company powered by transformational AI technology. Using proprietary machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast...

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Full-time, on-site
DATE POSTED
December 5, 2024

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