Job Description

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Job Title: Elastic Engineer

Location: Remote

Duration: 12 Months

Rate: $75-$80/hr on W2

Required Qualifications:

1. Elastic Certification:
   • Certified Elastic Engineer or higher (e.g., Certified Elastic Analyst, Certified Elastic Developer).
2. Experience:
   • Senior-level experience (typically 5+ years) working with Elastic Stack (Elasticsearch, Logstash, Kibana, Beats).
   • Proven track record of designing, implementing, and managing Elastic Stack solutions in production environments.
3. Clearance:
   • Ability to obtain a public trust clearance. Technical Skills:
4. Elastic Stack Expertise:
   • Deep understanding of Elasticsearch architecture, including indexing, search, and query performance optimization.
   • Experience with Logstash for data ingestion and transformation.
   • Proficiency with Kibana for data visualization and dashboard creation.
   • Knowledge of Beats for lightweight data shipping.
5. Data Management:
   • Experience with data modeling, schema design, and data lifecycle management in Elasticsearch.
   • Proficiency in managing large-scale data sets and ensuring high availability and scalability.
6. Scripting and Automation:
   • Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.
   • Experience with configuration management tools like Ansible, Puppet, or Chef.
7. Security:
   • Knowledge of securing Elastic Stack deployments, including user authentication, role-based access control, and encryption.
   • Familiarity with compliance standards and best practices for securing sensitive data.
8. Performance Tuning:
   • Skills in optimizing Elasticsearch performance, including shard allocation, indexing strategies, and query optimization.
9. Monitoring and Troubleshooting:
   • Experience with monitoring tools and techniques for Elastic Stack.
   • Strong troubleshooting skills to diagnose and resolve issues in Elastic Stack deployments. Soft Skills:
10. Communication:
    • Excellent verbal and written communication skills to interact with stakeholders and team members.
    • Ability to explain complex technical concepts to non-technical audiences.
11. Problem-Solving:
    • Strong analytical and problem-solving skills to address challenges and optimize solutions.
12. Collaboration:
    • Ability to work effectively in a team environment and collaborate with cross-functional teams. Additional Preferred Skills:
13. Cloud Platforms:
    • Experience with deploying and managing Elastic Stack on cloud platforms such as AWS, Azure, or Google Cloud.
14. DevOps Practices:
    • Familiarity with DevOps practices and tools, including CI/CD pipelines.
15. Big Data Technologies:
    • Knowledge of other big data technologies and frameworks, such as Hadoop, Spark, or Kafka.
16. Machine Learning:
    • Experience with Elastic's machine learning features for anomaly detection and predictive analytics.

MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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