ElasticSearch Engineer

At Vintti, we specialize in providing US businesses with staffing solutions that feel local. By connecting companies with Latin American professionals operating in compatible time zones, we ensure that work schedules align naturally with US business hours. This temporal harmony facilitates immediate response times, efficient project management, and a cohesive team dynamic regardless of physical location.

An ElasticSearch Engineer is responsible for designing, implementing, and managing robust search solutions using ElasticSearch technology. They focus on indexing, querying, and analyzing large sets of structured and unstructured data to ensure high performance and scalability. The role involves collaborating with development teams to integrate search functionality into applications, optimizing search algorithms, and maintaining the overall health of the search infrastructure. Proficient in Java, Python, or similar languages, ElasticSearch Engineers also ensure data integrity, security, and crafting tailored solutions to meet specific business needs.

- Bachelor's degree in Computer Science, Information Technology, or related field
- Proven experience as an Elasticsearch Engineer or similar role
- Expertise in designing, deploying, and managing Elasticsearch clusters
- Strong understanding of Elasticsearch architecture, indexing, and search/query optimization
- Proficiency with Elasticsearch query DSL and complex search queries
- Experience with data ingestion tools like Logstash, Filebeat, or custom ingestion scripts
- Skilled in data analysis and transformation for search and business intelligence
- Solid troubleshooting skills in Elasticsearch performance, scaling, and stability
- Knowledge of security best practices including role-based access control and encryption
- Experience with backup, restore, and disaster recovery procedures for Elasticsearch
- Familiarity with scripting languages such as Python or Bash for automation
- Experience working in Agile/Scrum development environments
- Strong collaboration skills to work effectively with developers and stakeholders
- Excellent documentation skills for technical procedures and guidelines
- Ability to stay current with evolving Elasticsearch features and industry trends
- Strong communication skills for providing technical support and training
- Analytical mindset and problem-solving capabilities
- Experience in other search technologies and data visualization tools is a plus
- Understanding of distributed systems and scalable architectures

- Design and maintain Elasticsearch clusters
- Ensure high availability and optimal performance of Elasticsearch environments
- Monitor cluster health and perform routine system tuning
- Optimize indexing, search, and query functionalities
- Develop and maintain complex search queries and mappings
- Collaborate with developers on Elasticsearch integration with applications
- Implement and manage data ingestion pipelines using tools like Logstash and Filebeat
- Perform data analysis and transformation for search and BI requirements
- Troubleshoot and resolve Elasticsearch performance, scaling, and stability issues
- Implement security measures including role-based access control and encryption
- Conduct regular backups, restorations, and disaster recovery drills
- Stay updated on the latest Elasticsearch features and industry trends
- Develop and maintain deployment and operational documentation
- Provide technical support and training on Elasticsearch
- Participate in agile ceremonies such as stand-ups and sprint planning
- Automate routine tasks using scripting languages like Python or Bash
- Interface with stakeholders to gather and translate requirements

The ideal candidate for the ElasticSearch Engineer role is a meticulous and innovative professional with a Bachelor's degree in Computer Science, Information Technology, or a related field, coupled with proven hands-on experience in designing, deploying, and managing Elasticsearch clusters. They possess a deep understanding of Elasticsearch architecture, indexing, and optimization techniques, and are proficient in crafting complex search queries using Elasticsearch query DSL. This individual excels in creating and managing data ingestion pipelines with tools like Logstash and Filebeat and is adept at data analysis and transformation to support search and business intelligence needs. With their robust troubleshooting abilities, they can resolve performance, scaling, and stability issues, ensuring high availability and optimal performance of Elasticsearch environments. They demonstrate strong adherence to security best practices, including role-based access control and encryption, and have experience with backup, restore, and disaster recovery operations. The candidate is well-versed in Python or Bash for automation, is familiar with Agile/Scrum methodologies, and boasts excellent collaborative and interpersonal skills to work seamlessly with developers and stakeholders. Their exceptional documentation abilities ensure clear technical procedures and guidelines, while their proactive, self-motivated nature drives continuous learning and staying current with industry trends. They excel in translating complex technical concepts into understandable language, are highly flexible and adaptable in fast-paced environments, and bring a strong problem-solving mindset with an eye for detail. The ideal candidate is a creative thinker, effective communicator, and a results-oriented professional with a solid work ethic, capable of mentoring peers and maintaining stringent security protocols in their commitment to delivering high-quality work.

- Design, implement, and manage Elasticsearch clusters to ensure high availability and performance
- Monitor cluster health, perform system tuning, and optimize indexing, search, and query functionalities
- Develop and maintain complex search queries and mappings to enhance data retrieval efficiency
- Collaborate with application developers to integrate Elasticsearch with various software applications
- Implement data pipelines using tools such as Logstash, Filebeat, or custom scripts for ingestion into Elasticsearch
- Perform data analysis and transformation to support search requirements and business intelligence
- Troubleshoot and resolve issues related to Elasticsearch performance, scaling, and stability
- Apply security best practices to protect data within Elasticsearch, including configuring role-based access control and encryption
- Conduct regular backups, restore operations, and disaster recovery planning for Elasticsearch clusters
- Keep up to date with the latest Elasticsearch features, best practices, and industry trends
- Develop and maintain comprehensive documentation for deployment, configuration, and operational procedures
- Provide technical support and training to other team members and stakeholders on Elasticsearch usage and best practices
- Attend and contribute to agile ceremonies such as stand-ups, sprint planning, and retrospectives
- Automate routine tasks and processes using scripting languages like Python or Bash
- Interface with stakeholders to gather requirements and translate them into technical specs for successful Elasticsearch implementations

- Analytical mindset with strong problem-solving capabilities
- Proactive and self-motivated with a passion for continuous learning
- Strong attention to detail and a commitment to accuracy
- Excellent collaboration and interpersonal skills to work effectively with diverse teams
- Strong organizational skills and ability to manage multiple tasks simultaneously
- Excellent written and verbal communication skills
- Ability to translate complex technical concepts into clear and understandable language
- High degree of flexibility and adaptability in a fast-paced environment
- Strong aptitude for troubleshooting and debugging complex issues
- Demonstrated leadership qualities and the ability to take initiative
- Creative thinker with the ability to innovate and implement new solutions
- Strong work ethic and dedication to meeting project deadlines
- Curiosity and eagerness to stay current with industry trends and new technologies
- Ability to mentor and provide guidance to peers and junior team members
- Strong adherence to best practices and attention to security protocols
- Results-oriented with a focus on delivering high-quality work
- Effective time management skills and the ability to prioritize tasks effectively

- Competitive salary range based on experience and qualifications
- Comprehensive health, dental, and vision insurance plans
- 401(k) retirement plan with company matching contributions
- Paid time off including vacation, sick leave, and holidays
- Flexible work schedule to promote work-life balance
- Remote work options available
- Professional development opportunities through workshops, conferences, and certifications
- Company-sponsored training programs for skill enhancement
- Tuition reimbursement for further education
- Employee wellness programs and mental health support
- Ergonomic workstations and high-quality office equipment
- Collaborative and inclusive work environment
- Opportunities for career advancement and internal promotions
- Life and disability insurance plans
- Employee assistance programs
- Regular team-building activities and social events
- Discounts on company products and services
- Commuter benefits and parking facilities
- Generous parental leave policies
- Access to cutting-edge technologies and tools
- Supportive mentorship and peer guidance programs
- Recognition and rewards programs for outstanding performance and contributions
- Employee referral bonus programs