Securonix is leading the evolution of SIEM for today’s hybrid cloud, data-driven enterprises. Securonix Unified Defense SIEM provides organizations with content-driven threat detection, investigation, and response (TDIR) solution built with a highly scalable data cloud and a unified experience from the analyst to the CISO. The innovative cloud-native solution enables organizations to scale up their security operations and keep up with evolving threats.
Securonix Unified Defense SIEM provides organizations with 365 days of ‘hot’ data for fast search and investigation, threat content-as-a-service, proactive defense with continuous peer and partner collaboration, and a unified Threat Detection, Investigation and Response (TDIR) experience, all in a single platform. The platform is built on a cloud native architecture and leverages the power of the Snowflake Data Cloud.Summary:The Cloud service engineer is to help drive performance analysis, resiliency initiatives, optimization and scalability of spark jobs running on the Big Data clusters.The ideal candidate should have a good knowledge of performance engineering and have experience in the Big Data Administrator role with a keen focus on performance and resilience.
The candidate will be responsible for analyzing, debugging, measuring and recreating specific user/tenant issues in order to extract actionable data and model future capacity and scalability needs and will have a chance to learn about the security data sets along with the SIEM industry.Job Responsibilities:
- Ability to clearly characterize system and Spark Job performances.
- Passion for distilling large volumes of data, analyze scalability, capacity and performance issues in Big Data Platforms.
- Experience with Data Science and Big Data technologies, Hadoop, Hive, HBase, Solr, Spark, Kafka, Jupyter, Elasticsearch.
- Deep technical understanding of Spark Processing Framework.
- Ability to analyze and debug Spark applications written in Scala, Python and Java.
- Implement the spark performance tuning and resource optimization wherever required.
- Perform benchmarking/stress tests and document the best practices for different applications whenever required.
- Proactively work with multiple tenants on improving the application performance and ensure they are robust, resilient and scalable.
- Experience in tuning the spark applications on Kafka, HBase, Hive, HDFS and any other technologies.
- JVM Profiling and tuning experience.
- Application and architecture code profiling.
- Infrastructure and application performance tuning.
- Unix or Linux experience.
- Good understanding of OS Concepts & Resources Management.
- General operational expertise such as good troubleshooting skills, understanding of system’s capacity, bottlenecks, Memory, CPU, OS, storage, and networks.
- Proactively monitoring system performance and capacity planning.
- Automation experience (Shell/Python/Ansible).
- Good Understanding of Yarn Framework and Schedulers.
- Should have working experience of using Spark data frame and data sets
- Ability to interpret business requirements and logically think through to developing technical solutions
- Work with DevOps to build automated data pipelines
- Analyze and understand data sources & APIs
- Work with cloud and data engineers to define robust architecture in cloud setup pipelines and workflows
Required Knowledge / Skills / Experience:
- Bachelors or Master’s degree in Computer Science or equivalent experience
- At least 2+ years of IT experience in Big Data/Hadoop environments
- Must have working knowledge of YARN, HBase, Hive, Spark, Flume, Kafka etc.
- Knowledge of programming & scripting languages a plus –Python, R, Perl, Hive, MapReduce, SQL etc.
- Experience with Open Source technologies ELK, Presto, Nodejs.
- Knowledge of Monitoring solutions like Dynatrace, Splunk.
- Spark and Java Applications Development Experience.
- Experience in automating deployments and monitoring/alerting tasks (preferably Ansible).
- Experience in working cloud environments, AWS, OCI etc.
- Experience with Performance, Load, Stress, and Scalability Testing and relevant tooling
- Experience of application software development life cycle. Should be able to influence application projects and provide guidance if needed.
- Strong Problem Solving and creative thinking skills
- Ability to multi-task and manage multiple assignments simultaneously
- Effective oral and written communications
- Experience working with geographically distributed teams
Benefits - As a full-time employee with Securonix, you will be eligible for the following employee benefits:
- Health Insurance with a total sum insured is INR 5,00,000
- Coverage: Self, Spouse, 2 kids, Dependent parents, or parents-in-law
- Personal Accident with total sum insured is INR 10,00,000
- Term Life Insurance with a sum assured for employees is 5 times fixed base pay is covered.
Securonix, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. Securonix complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation and training.Securonix expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of Securonix employees to perform their expected job duties is absolutely not tolerated.
