📍 Job Overview

Job Title: Observability - Eng Prod - Performance Engineer
Company: Elastic
Location: Spain
Job Type: Full-Time
Category: DevOps / Site Reliability Engineering
Date Posted: 2025-07-18
Experience Level: Mid-Senior Level (2-5 years)
Remote Status: Remote OK

🚀 Role Summary

Key Responsibilities: Contribute to performance evaluation frameworks, build automation tools, analyze performance characteristics, and act as a trusted advisor for software performance and scalability.
Key Skills: Python, Golang, Performance Engineering, Benchmarking, Automation, Cloud Infrastructure, Kubernetes, Data Analysis, Communication, Emotional Intelligence, Analytical Mindset, Problem Solving, Optimization.

📝 Enhancement Note: This role requires a strong analytical mindset and the ability to work effectively in a distributed team. The ideal candidate will have experience running software in production at large scale and understand the challenges that come with ultra-large deployments.

💻 Primary Responsibilities

Performance Evaluation: Contribute to performance evaluation frameworks written in Python and Golang to ensure Elastic's products meet customer expectations.
Automation & Orchestration: Build automation and orchestration tooling to facilitate testing Elastic's products at scale.
Performance Analysis: Analyze performance characteristics of Elastic's software products and propose potential areas of optimization.
Advisory Role: Act as a trusted advisor to other teams about how to build software in production with a performance-oriented mindset.

📝 Enhancement Note: This role involves working with various teams across Elastic, so strong communication skills and the ability to collaborate effectively are crucial.

🎓 Skills & Qualifications

Education: A Bachelor's degree in Computer Science, Engineering, or a related field. Relevant experience may be considered in lieu of a degree.

Experience: 2-5 years of experience in performance engineering, site reliability engineering, or a related role. Experience running software in production at large scale is essential.

Required Skills:

Proficiency in Python and Golang
Experience with cloud providers (AWS, GCP, or Azure)
Familiarity with Kubernetes and Helm charts
Strong analytical skills and data-driven mindset
Excellent communication skills, both written and verbal
Ability to work effectively in a distributed team

Preferred Skills:

Experience with benchmarking tools and methodologies
Familiarity with Elastic's products and the Elastic Stack
Knowledge of infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation)
Experience with CI/CD pipelines and deployment automation

📝 Enhancement Note: While not required, experience with Elastic's products and the Elastic Stack would be beneficial for this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Include examples of performance evaluation frameworks and automation tools you've built in Python or Golang.
Demonstrate your ability to analyze performance characteristics and propose optimizations.
Showcase your experience running software in production at large scale.

Technical Documentation:

Provide clear and concise documentation for your projects, explaining your approach, tools used, and any challenges faced.
Include any relevant benchmarking results or performance metrics.

📝 Enhancement Note: As this role involves working with various teams, it's essential to demonstrate strong communication skills and the ability to explain complex technical concepts clearly.

💵 Compensation & Benefits

Salary Range: €50,000 - €75,000 per year (approximate, based on market research for Spain)

Benefits:

Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Increase your impact - Elastic matches up to €1,600 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave

Working Hours: Full-time, with flexible scheduling and remote work options available.

📝 Enhancement Note: The salary range provided is an approximation based on market research for Spain. Actual compensation may vary depending on factors such as skills, experience, and location.

🎯 Team & Company Context

Industry: Elastic is a search and analytics company that helps businesses find the answers they need in real-time, using all their data, at any scale.

Company Size: Elastic is a mid-sized company with over 2,000 employees worldwide.

Founded: 2012, in Amsterdam, Netherlands

Team Structure:

The Performance Engineering team is part of the Engineering organization.
The team works closely with other engineering teams to ensure Elastic's products meet performance expectations.
The role reports directly to the Engineering Manager for Performance Engineering.

Development Methodology:

Elastic follows Agile methodologies, with a focus on continuous integration and delivery.
The team uses Git for version control and Jira for project management.
Elastic's products are open-source, with a strong focus on community involvement and collaboration.

Company Website: elastic.co

📝 Enhancement Note: Elastic's culture values collaboration, innovation, and a strong focus on customer success. The company encourages employees to take ownership of their work and contribute to the open-source community.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-senior level, requiring a strong understanding of performance engineering principles and experience running software in production at large scale.

Reporting Structure: The role reports directly to the Engineering Manager for Performance Engineering. The team works closely with other engineering teams, providing a opportunities for cross-functional collaboration and growth.

Technical Impact: The role has a significant impact on Elastic's products and customer experience. The engineer will work on performance evaluation frameworks and automation tools that ensure Elastic's products meet customer expectations.

Growth Opportunities:

Technical Growth: The role offers opportunities to deepen your expertise in performance engineering, working with cutting-edge technologies and open-source projects.
Leadership Growth: As the role involves acting as a trusted advisor to other teams, there are opportunities to develop your leadership skills and take on more responsibility over time.
Career Progression: With experience and demonstrated success, there are opportunities to move into more senior roles within the Performance Engineering team or other engineering teams at Elastic.

📝 Enhancement Note: Elastic values internal promotions and encourages employees to take on new challenges and grow within the organization.

🌐 Work Environment

Office Type: Elastic has a distributed work environment, with offices in various locations worldwide. The company encourages employees to work remotely and offers flexible scheduling options.

Office Location(s): Elastic has offices in Amsterdam, Mountain View, and Singapore, among other locations. However, the role can be performed remotely from anywhere in Spain.

Workspace Context:

Remote Work: Elastic provides remote workers with a stipend to set up a home office and covers the cost of necessary equipment.
Collaboration: Elastic uses various collaboration tools, such as Slack, Google Workspace, and Microsoft Teams, to facilitate communication and collaboration among team members.
Cross-Functional Teams: Elastic's engineering teams work closely with product, design, and other teams to ensure a cohesive and user-focused approach to product development.

Work Schedule: Elastic offers flexible scheduling options, with core hours between 10:00 AM and 4:00 PM in the team's local time zone. Employees are encouraged to work hours that best fit their personal needs and productivity.

📝 Enhancement Note: Elastic's distributed work environment offers a high degree of flexibility and autonomy, with a strong focus on results and impact.

📄 Application & Technical Interview Process

Interview Process:

Resume Screening: Elastic's recruiting team will review your resume and portfolio to ensure your qualifications match the role's requirements.
Phone Screen: A brief phone call to discuss your experience, skills, and career goals.
Technical Challenge: A take-home technical challenge to assess your performance engineering skills and problem-solving abilities.
On-site Interview: A series of interviews with team members to discuss your technical challenge, answer any questions you have about the role, and assess your cultural fit with Elastic.

Portfolio Review Tips:

Highlight your experience with performance evaluation frameworks, automation tools, and data analysis.
Include any relevant benchmarking results or performance metrics.
Showcase your ability to communicate complex technical concepts clearly and effectively.

Technical Challenge Preparation:

Brush up on your Python and Golang skills, focusing on performance engineering and data analysis techniques.
Familiarize yourself with Elastic's products and the Elastic Stack.
Prepare for questions about your experience running software in production at large scale and any challenges you've faced in the past.

ATS Keywords: [Comprehensive list of web development and server administration-relevant keywords for resume optimization, organized by category: programming languages, web frameworks, server technologies, databases, tools, methodologies, soft skills, industry terms]

📝 Enhancement Note: Elastic's interview process is designed to assess your technical skills, problem-solving abilities, and cultural fit with the company. Be prepared to discuss your experience and approach to performance engineering in detail.

🛠 Technology Stack & Web Infrastructure

Programming Languages:

Python: Used for performance evaluation frameworks and automation tools.
Golang: Used for performance evaluation frameworks and internal tools.

Cloud Providers:

AWS, GCP, or Azure: Experience with at least one major cloud provider is required.

Kubernetes:

Familiarity with Kubernetes and Helm charts is required for this role.

Infrastructure as Code (IaC) Tools:

Terraform or CloudFormation: Experience with IaC tools is not required but would be beneficial.

Monitoring Tools:

Elastic's products, such as Elasticsearch, Kibana, and APM, are used for monitoring and analyzing performance data.

📝 Enhancement Note: While not required, experience with Elastic's products and the Elastic Stack would be beneficial for this role.

👥 Team Culture & Values

Elastic's Core Values:

Open: Open source is in our DNA. We believe in a world where all data is searchable and accessible to everyone.
Humble: We are proud but never arrogant. We respect our customers, partners, and employees.
Fast: Speed is at our core. We are agile and move quickly, knowing that time is precious.
Kind: We are kind to each other and to our communities in which we live and work.

Elastic's Approach to Performance Engineering:

Elastic values a performance-oriented mindset and encourages employees to take ownership of performance-related tasks.
The company fosters a culture of collaboration and continuous learning, with a strong focus on customer success.

Collaboration Style:

Elastic uses various collaboration tools to facilitate communication and collaboration among team members.
The company encourages cross-functional collaboration and values input from all team members.
Elastic's culture is open and transparent, with a strong focus on feedback and continuous improvement.

📝 Enhancement Note: Elastic's culture values collaboration, innovation, and a strong focus on customer success. The company encourages employees to take ownership of their work and contribute to the open-source community.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Performance Evaluation: Contribute to performance evaluation frameworks that meet the needs of Elastic's diverse customer base.
Automation & Orchestration: Build automation and orchestration tools that can scale to meet Elastic's growing customer base.
Performance Optimization: Analyze performance characteristics of Elastic's software products and propose optimizations that improve customer experience.
Emerging Technologies: Stay up-to-date with emerging technologies and trends in performance engineering and incorporate them into Elastic's products.

Learning & Development Opportunities:

Technical Growth: Elastic offers opportunities to deepen your expertise in performance engineering, working with cutting-edge technologies and open-source projects.
Leadership Growth: As the role involves acting as a trusted advisor to other teams, there are opportunities to develop your leadership skills and take on more responsibility over time.
Career Progression: With experience and demonstrated success, there are opportunities to move into more senior roles within the Performance Engineering team or other engineering teams at Elastic.

📝 Enhancement Note: Elastic values internal promotions and encourages employees to take on new challenges and grow within the organization.

💡 Interview Preparation

Technical Questions:

Performance Evaluation: Prepare for questions about your experience with performance evaluation frameworks and automation tools.
Data Analysis: Brush up on your data analysis skills and be prepared to discuss your approach to performance optimization.
Problem-Solving: Prepare for questions that test your problem-solving abilities and analytical mindset.

Company & Culture Questions:

Elastic's Products: Familiarize yourself with Elastic's products and the Elastic Stack.
Open-Source Culture: Prepare for questions about your experience with open-source projects and communities.
Customer Success: Be prepared to discuss your approach to customer success and how you ensure that Elastic's products meet customer expectations.

Portfolio Presentation Strategy:

Performance Evaluation: Highlight your experience with performance evaluation frameworks and automation tools.
Data Analysis: Showcase your data analysis skills and how you use them to optimize performance.
Customer Success: Demonstrate your understanding of Elastic's products and how you ensure that they meet customer expectations.

📝 Enhancement Note: Elastic's interview process is designed to assess your technical skills, problem-solving abilities, and cultural fit with the company. Be prepared to discuss your experience and approach to performance engineering in detail.

📌 Application Steps

To apply for this performance engineer role at Elastic:

Submit your resume and portfolio through the application link.
Prepare for a phone screen to discuss your experience, skills, and career goals.
Complete a take-home technical challenge to assess your performance engineering skills and problem-solving abilities.
Participate in on-site interviews to discuss your technical challenge, answer any questions you have about the role, and assess your cultural fit with Elastic.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Observability - Eng Prod - Performance Engineer