Technical Support Engineer, DataSet
Poland
Applications have closed
SentinelOne
SentinelOne vereint Endpunkt-, Cloud-, Identitäts- und Datensicherheit. Angereichert durch unseren Security Data Lake für eine nahtlose und effiziente Cybersecurity.About Us:
SentinelOne is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real-time. Singularity XDR ingests data and leverages our patented AI models to deliver autonomous protection. With SentinelOne, organizations gain full transparency into everything happening across the network at machine speed – to defeat every attack, at every stage of the threat lifecycle.
We are a values-driven team where names are known, results are rewarded, and friendships are formed. Trust, accountability, relentlessness, ingenuity, and OneSentinel define the pillars of our collaborative and unified global culture. We're looking for people that will drive team success and collaboration across SentinelOne. If you’re enthusiastic about innovative approaches to problem-solving, we would love to speak with you about joining our team!
What are we looking for?
We are looking for a Technical Support Engineer to join the growing SentinelOne DataSet team. This is a great role for a DevOps Engineer, Cloud Ops, or Application Support Engineer who’s looking to leverage their experience to help customers, or for a Tech Support or Customer Success Engineer with operations chops. This is an opportunity to solve interesting technical problems in a cross-functional role, working with Sales, Customer Success, Engineering, and Product. You’ll work with customers in all stages of their lifecycle, helping them to utilize our technology to address their challenges.
The Technical Support Engineer will be the key interface between our customers, field engineers and developers. As the first member of the team based in EMEA, this person will have an opportunity to help build the local practice. They will also partner with a Customer Success Manager to onboard new customers in-region. Flexibility in working with people in different time zones is necessary.
What skills and experience should you bring?
Our customers are highly technical (software and DevOps engineers, CTOs, etc.), so you should be comfortable interacting with folks in those roles. In addition to answering technical questions, you'll dig in at the code level - debugging connectivity issues, writing parsers, building custom scripts, working with EC2 instances, configuring Docker and Kubernetes containers, troubleshooting issues, and setting up dashboards, complex data visualizations, and alerts.
- DevOps or similar operational experience
- Customer-facing experience e.g. technical support, implementation, or technical account management
- Team lead or management experience preferred
- Excellent written and verbal communication skills
- Strong fluency with regular expressions
- Experience with UNIX/Linux environments
- Experience with cloud services, AWS preferred
- Some programming experience
- Docker and Kubernetes knowledge desirable
- Demonstrated excellence at problem-solving
- A quick study, and the ability to apply what you’ve learned in a fast-paced environment
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS DevOps Docker EC2 Engineering Kubernetes Linux
Perks/benefits: Transparency
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Manager, Data Engineering jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs