📍 Job Overview

Job Title: Staff SRE - Observability (x/f/m)
Company: Doctolib
Location: Berlin, Germany
Job Type: Hybrid (Berlin-based with flexibility to work remotely in EU countries and the UK up to 10 days per year)
Category: Site Reliability Engineering
Date Posted: July 7, 2025

🚀 Role Summary

Lead the observability strategy across Doctolib's platform, focusing on scalable and developer-friendly logging and tracing capabilities.
Identify and drive large-scale cross-cutting reliability initiatives to improve incident detection, response, and postmortem analysis.
Actively participate in the on-call rotation, enhancing alerting, reducing noise, and ensuring actionable telemetry.
Mentor senior engineers and elevate the craft of reliability engineering across the company.
Influence strategic decisions by providing technical guidance to leadership and representing the observability discipline in architectural reviews and platform discussions.

📝 Enhancement Note: This role requires a strong technical background in observability tooling and architecture, with a focus on logging, tracing, and metrics. The ideal candidate will have extensive experience in SRE or related roles and be comfortable balancing long-term architecture work with fast, iterative improvements.

💻 Primary Responsibilities

Observability Strategy: Develop and implement the observability strategy across the platform, ensuring reliable, debuggable, and scalable services.
Reliability Initiatives: Identify and lead large-scale cross-cutting reliability initiatives that elevate Doctolib's operational maturity.
On-Call Rotation: Actively participate in the on-call rotation, refining alerting, reducing noise, and ensuring actionable telemetry.
Mentoring & Coaching: Serve as a mentor and technical coach to senior engineers, helping elevate the craft of reliability engineering across the company.
Technical Leadership: Influence strategic decisions by providing technical guidance to leadership and representing the observability discipline in architectural reviews and platform discussions.

📝 Enhancement Note: This role requires a strong understanding of cloud-native environments, preferably with experience in AWS, GCP, or Kubernetes-based systems. Familiarity with backend programming languages such as Go, Python, or Ruby is also essential.

🎓 Skills & Qualifications

Education: A Bachelor's degree in Computer Science, Engineering, or a related field. Relevant experience may substitute for a formal degree.

Experience: 8+ years of experience in SRE, platform engineering, or infrastructure roles within cloud-native environments.

Required Skills:

Extensive experience with observability tooling and architecture, such as:
- Logging: Fluent Bit, OpenTelemetry, Loki, Elasticsearch, Logstash, Vector
- Tracing: OpenTelemetry or proprietary APMs
- Metrics: Prometheus, Thanos, Datadog, or equivalent
Strong systems engineering background with fluency in at least one backend programming language (e.g., Go, Python, Ruby).
Proven ability to lead through influence, set technical direction, drive consensus, and mentor engineers across teams.
Experience designing and operating high-scale telemetry pipelines and working with developers to improve instrumentation quality.
Comfortable balancing long-term architecture work with fast, iterative improvements.
Clear, concise communication skills—both written and verbal—with the ability to drive alignment in ambiguous environments.

Preferred Skills:

Experience with AWS, GCP, or Kubernetes-based systems.
Familiarity with infrastructure as code (IaC) tools, such as Terraform or CloudFormation.
Knowledge of DevOps practices and CI/CD pipelines.
Experience with chaos engineering and resilience testing.

📝 Enhancement Note: Given the strategic nature of this role, candidates with experience in technical leadership, architecture decision-making, and cross-cutting initiative management will be particularly well-suited.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

A well-structured portfolio showcasing your experience in observability, SRE, and reliability engineering.
Case studies demonstrating your ability to lead large-scale reliability initiatives and improve operational maturity.
Examples of your technical leadership and mentoring skills, such as blog posts, talks, or open-source contributions.
Evidence of your experience with observability tooling and architecture, including logging, tracing, and metrics.

Technical Documentation:

Code samples and documentation demonstrating your proficiency in backend programming languages and observability tools.
Examples of your involvement in incident response, postmortem analysis, and on-call rotations.
Documentation of your experience with telemetry pipelines, data processing, and data-driven decision-making.

📝 Enhancement Note: As this role focuses on observability and reliability engineering, your portfolio should emphasize your technical expertise and leadership skills in these areas. Include specific examples of how you have improved observability, reduced mean time to recovery (MTTR), and enhanced the reliability of systems.

💵 Compensation & Benefits

Salary Range: €80,000 - €120,000 per year (gross), depending on experience and qualifications. This range is based on market research for SRE roles in Berlin and takes into account Doctolib's company size and industry standing.

Benefits:

Additional health plan scheme with Allianz.
Dedicated onboarding program - the Doctolib Academy.
Mental health and wellbeing offer in partnership with moka.care.
The Doctolib Parent Care Program, including extended parental leave, meet-ups, and inspiring conferences.
Sports and wellness provider offering classes for all.
Subsidy for lunch.
Flexible workplace policy offering both hybrid and office-based modes.
Flexibility days allowing you to work in EU countries and the UK up to 10 days per year.

Working Hours: Full-time, with a standard workweek of 40 hours. Flexible working hours and remote work options are available.

📝 Enhancement Note: The salary range provided is an estimate based on market research and may vary depending on the candidate's experience, qualifications, and negotiation. Doctolib offers a competitive benefits package to attract and retain top talent in the SRE and reliability engineering fields.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare technology. Doctolib is a leading digital health platform that connects patients and healthcare professionals, streamlining appointments, and improving overall healthcare experiences.

Company Size: Medium to large (1,000+ employees). As a Staff SRE, you will work in the Core Reliability & Observability team, which sits within the broader Engineering organization.

Founded: 2013. Doctolib has experienced significant growth and expansion, with a strong focus on innovation and user experience.

Team Structure:

The Core Reliability & Observability team consists of SREs, software engineers, and product engineers focused on building and evolving the foundations of logging, metrics, tracing, and alerting across the organization.
The team works closely with other engineering teams, product managers, and stakeholders to ensure the platform remains reliable, debuggable, and scalable.
The team follows Agile methodologies, with regular sprint planning, code reviews, and quality assurance practices.

Development Methodology:

Agile/Scrum methodologies with regular sprint planning and retrospectives.
Code reviews and pair programming to ensure code quality and knowledge sharing.
CI/CD pipelines and automated deployment strategies to maintain high velocity and reliability.
Chaos engineering and resilience testing to proactively identify and address potential issues.

Company Website: https://www.doctolib.fr/

📝 Enhancement Note: Doctolib's company culture emphasizes innovation, user experience, and continuous learning. As a Staff SRE, you will play a crucial role in shaping the company's observability strategy and driving operational excellence.

📈 Career & Growth Analysis

Web Technology Career Level: Staff SRE - Observability. This role sits at the intersection of infrastructure, developer experience, and product engineering, with a particular focus on building and evolving the foundations of logging, metrics, tracing, and alerting across the organization. It requires a strong technical background in observability tooling and architecture, as well as proven leadership and mentoring skills.

Reporting Structure: This role reports directly to the Engineering Manager of the Core Reliability & Observability team. It is expected to have a significant impact on the team's technical direction and contribute to the overall success of the Engineering organization.

Technical Impact: As a Staff SRE, you will have a direct influence on the reliability, scalability, and maintainability of Doctolib's platform. Your work will ensure that the platform remains available, performant, and debuggable, enabling healthcare professionals and patients to have seamless and reliable experiences.

Growth Opportunities:

Technical Growth: Deepen your expertise in observability tooling and architecture, staying up-to-date with the latest trends and best practices in the field.
Leadership Development: Expand your leadership and mentoring skills, taking on more significant technical challenges and driving cross-cutting initiatives that elevate Doctolib's operational maturity.
Architecture Decision-Making: Contribute to strategic architecture decisions, shaping the future of Doctolib's platform and ensuring it remains reliable, scalable, and performant.
Career Progression: As Doctolib continues to grow, there may be opportunities to take on more significant technical leadership roles, such as a Principal SRE or Engineering Manager.

📝 Enhancement Note: This role offers significant growth opportunities for the right candidate, with the potential to make a lasting impact on Doctolib's platform and operational maturity. As a Staff SRE, you will have the chance to work on large-scale, cross-cutting initiatives and drive strategic technical decisions.

🌐 Work Environment

Office Type: Hybrid. Doctolib's Berlin office is designed to foster collaboration, creativity, and work-life balance. The office features modern amenities, comfortable workspaces, and dedicated areas for team meetings and events.

Office Location(s): Berlin, Germany. The office is conveniently located in the heart of Berlin, with easy access to public transportation and nearby amenities.

Workspace Context:

Collaboration: The office layout encourages teamwork and collaboration, with open-plan workspaces and dedicated meeting rooms.
Equipment: Doctolib provides modern hardware and software tools to ensure engineers have everything they need to perform their jobs effectively.
Work-Life Balance: Doctolib offers flexible working hours and remote work options to help employees maintain a healthy work-life balance.

Work Schedule: Full-time, with a standard workweek of 40 hours. Doctolib offers flexible working hours and remote work options to accommodate employees' personal needs and preferences.

📝 Enhancement Note: Doctolib's work environment is designed to support the well-being and productivity of its employees. As a Staff SRE, you will have the opportunity to work in a modern, collaborative office space and enjoy a flexible work schedule that caters to your personal needs and preferences.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen with a Tech Recruiter (30 minutes): A brief conversation to understand your background, motivations, and expectations for the role.
Technical Interview (SRE) (1 hour 30 minutes): A deep dive into your technical skills and experience with observability tooling and architecture. You will be asked to discuss your approach to logging, tracing, and metrics, as well as your experience with telemetry pipelines and data processing.
System Design Interview (1 hour 30 minutes): An in-depth discussion of your system design and architecture skills, focusing on your ability to make strategic decisions and balance long-term architecture work with fast, iterative improvements.
Manager Interview (1 hour 15 minutes): A conversation with the Engineering Manager of the Core Reliability & Observability team to assess your cultural fit, leadership potential, and alignment with Doctolib's mission and values.

Portfolio Review Tips:

Highlight your experience with observability tooling and architecture, including specific examples of how you have improved logging, tracing, and metrics in previous roles.
Showcase your ability to lead large-scale reliability initiatives and drive cross-cutting improvements, demonstrating your technical leadership and mentoring skills.
Include examples of your involvement in incident response, postmortem analysis, and on-call rotations, highlighting your ability to work effectively under pressure and make data-driven decisions.

Technical Challenge Preparation:

Brush up on your knowledge of observability tooling and architecture, focusing on logging, tracing, and metrics. Familiarize yourself with the latest trends and best practices in the field.
Review your experience with telemetry pipelines and data processing, ensuring you are comfortable discussing your approach to designing, implementing, and maintaining high-scale telemetry pipelines.
Prepare for system design questions, focusing on your ability to make strategic decisions and balance long-term architecture work with fast, iterative improvements.

ATS Keywords: See the comprehensive list of web development and server administration-relevant keywords for resume optimization, organized by category, at the end of this document.

📝 Enhancement Note: Doctolib's interview process is designed to assess your technical skills, leadership potential, and cultural fit. By preparing thoroughly and showcasing your experience with observability tooling and architecture, you will increase your chances of success in the interview process.

🛠 Technology Stack & Web Infrastructure

Observability Tooling & Architecture:

Logging: Fluent Bit, OpenTelemetry, Loki, Elasticsearch, Logstash, Vector
Tracing: OpenTelemetry, Jaeger, Zipkin, Honeycomb, Datadog APM
Metrics: Prometheus, Thanos, Datadog, New Relic, CloudWatch
Telemetry Pipelines: Apache Kafka, AWS Kinesis, Google Cloud Pub/Sub, Azure Event Hubs

Backend & Server Technologies:

Backend: Go, Python, Ruby, Node.js, Java
Server Platforms: AWS, GCP, Azure, Kubernetes, Docker
Databases: PostgreSQL, MySQL, MongoDB, Redis, Cassandra
Infrastructure Tools: Terraform, CloudFormation, Ansible, Puppet, Chef

Development & DevOps Tools:

Version Control: Git, GitHub, GitLab
CI/CD Pipelines: Jenkins, GitLab CI/CD, CircleCI, GitHub Actions
Monitoring: Prometheus, Grafana, Datadog, New Relic, CloudWatch
Chaos Engineering: Chaos Monkey, ChaosKube, ChaosLabs, Chaos Toolkit

📝 Enhancement Note: Doctolib's technology stack is designed to support the scalability, reliability, and performance of its platform. As a Staff SRE, you will have the opportunity to work with a wide range of observability tools, backend technologies, and infrastructure tools to ensure the platform remains available, performant, and debuggable.

👥 Team Culture & Values

Web Development Values:

User-Centric: Focus on the user experience and ensure that the platform remains reliable, debuggable, and scalable.
Data-Driven: Make data-driven decisions and use telemetry to improve the platform's performance and reliability.
Continuous Learning: Stay up-to-date with the latest trends and best practices in observability tooling and architecture.
Collaboration: Work closely with other engineering teams, product managers, and stakeholders to ensure the platform meets the needs of healthcare professionals and patients.

Collaboration Style:

Cross-Functional Integration: Work closely with other engineering teams, product managers, and stakeholders to ensure the platform remains reliable, debuggable, and scalable.
Code Review Culture: Participate in code reviews and pair programming to ensure code quality and knowledge sharing.
Mentoring & Knowledge Sharing: Share your expertise with other team members and contribute to their professional growth and development.

📝 Enhancement Note: Doctolib's team culture emphasizes user-centric design, data-driven decision-making, and continuous learning. As a Staff SRE, you will have the opportunity to work in a collaborative, supportive environment that values your expertise and contributions.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Observability Strategy: Develop and implement a scalable, developer-friendly logging and tracing strategy that meets the needs of a rapidly growing healthcare platform.
Reliability Initiatives: Identify and lead large-scale cross-cutting reliability initiatives that improve incident detection, response, and postmortem analysis.
Telemetry Pipelines: Design, implement, and maintain high-scale telemetry pipelines that ensure data integrity, reliability, and availability.
User Experience: Ensure that the platform remains user-friendly, accessible, and performant, balancing the needs of healthcare professionals and patients with the technical constraints of observability and reliability engineering.

Learning & Development Opportunities:

Observability Expertise: Deepen your knowledge of observability tooling and architecture, staying up-to-date with the latest trends and best practices in the field.
Leadership Development: Expand your leadership and mentoring skills, taking on more significant technical challenges and driving cross-cutting initiatives that elevate Doctolib's operational maturity.
Architecture Decision-Making: Contribute to strategic architecture decisions, shaping the future of Doctolib's platform and ensuring it remains reliable, scalable, and performant.
Career Progression: As Doctolib continues to grow, there may be opportunities to take on more significant technical leadership roles, such as a Principal SRE or Engineering Manager.

📝 Enhancement Note: This role offers significant technical challenges and growth opportunities for the right candidate. As a Staff SRE, you will have the chance to work on large-scale, cross-cutting initiatives and drive strategic technical decisions that improve the reliability, scalability, and performance of Doctolib's platform.

💡 Interview Preparation

Technical Questions:

Observability Fundamentals: Discuss your approach to logging, tracing, and metrics, and how you have used these tools to improve the reliability and performance of systems in previous roles.
System Design: Describe your experience with system design and architecture, focusing on your ability to make strategic decisions and balance long-term architecture work with fast, iterative improvements.
Incident Response: Share your experience with incident response, postmortem analysis, and on-call rotations, highlighting your ability to work effectively under pressure and make data-driven decisions.
Leadership & Mentoring: Discuss your experience with technical leadership and mentoring, focusing on your ability to drive consensus, elevate the craft of reliability engineering, and contribute to the professional growth and development of other team members.

Company & Culture Questions:

Doctolib's Mission: Explain how your experience and skills align with Doctolib's mission to improve healthcare experiences for patients and professionals.
User Experience: Describe your approach to designing and implementing user-friendly, accessible, and performant systems that meet the needs of healthcare professionals and patients.
Collaboration & Teamwork: Discuss your experience working in cross-functional teams and collaborating with other engineering teams, product managers, and stakeholders to ensure the platform remains reliable, debuggable, and scalable.

Portfolio Presentation Strategy:

Observability Portfolio: Showcase your experience with observability tooling and architecture, including specific examples of how you have improved logging, tracing, and metrics in previous roles.
Reliability Initiatives: Highlight your ability to lead large-scale reliability initiatives and drive cross-cutting improvements, demonstrating your technical leadership and mentoring skills.
Incident Response: Include examples of your involvement in incident response, postmortem analysis, and on-call rotations, highlighting your ability to work effectively under pressure and make data-driven decisions.

📝 Enhancement Note: Doctolib's interview process is designed to assess your technical skills, leadership potential, and cultural fit. By preparing thoroughly and showcasing your experience with observability tooling and architecture, you will increase your chances of success in the interview process.

📌 Application Steps

To apply for this Staff SRE - Observability (x/f/m) position at Doctolib:

Tailor Your Resume: Highlight your experience with observability tooling and architecture, focusing on your ability to lead large-scale reliability initiatives and drive cross-cutting improvements. Include specific examples of how you have improved logging, tracing, and metrics in previous roles.
Prepare Your Portfolio: Showcase your experience with observability tooling and architecture, including specific examples of how you have improved logging, tracing, and metrics in previous roles. Highlight your ability to lead large-scale reliability initiatives and drive cross-cutting improvements, demonstrating your technical leadership and mentoring skills.
Research Doctolib: Familiarize yourself with Doctolib's mission, values, and company culture. Understand how your experience and skills align with the company's goals and objectives, and be prepared to discuss your fit for the role during the interview process.
Prepare for the Interview: Review the interview process and technical challenge preparation tips provided in this document. Brush up on your knowledge of observability tooling and architecture, focusing on logging, tracing, and metrics. Prepare for system design questions, focusing on your ability to make strategic decisions and balance long-term architecture work with fast, iterative improvements.

⚠️ 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.

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to observability and reliability engineering, with a focus on logging, tracing, and metrics.
Include web development methodologies, responsive design principles, and server management practices relevant to observability and reliability engineering.
Emphasize the role's focus on building and evolving the foundations of logging, metrics, tracing, and alerting across the organization.
Address the role's intersection with infrastructure, developer experience, and product engineering, with a particular focus on technical leadership and mentoring.
Highlight the role's involvement in incident response, postmortem analysis, and on-call rotations, and its impact on the platform's reliability, scalability, and performance.

Quality Standards:

Ensure no content overlap between sections - each section must contain unique information.
Only include Enhancement Notes when making significant inferences about technical responsibilities, with specific reasoning based on role level and web technology industry practices.
Be comprehensive but concise, prioritizing actionable information over descriptive text.
Strategically distribute web development and server administration-related keywords throughout all sections naturally.
Provide realistic salary ranges based on location, experience level, and web technology specialization, with regional salary research and cost of living considerations.

Industry Expertise:

Include specific observability tools, backend technologies, server platforms, and infrastructure tools relevant to the role.
Address observability and reliability engineering career progression paths and technical leadership opportunities in web technology teams.
Provide tactical advice for portfolio development, live demonstrations, and project case studies, focusing on observability and reliability engineering.
Include observability and reliability engineering-specific interview preparation and coding challenge guidance.
Emphasize the role's focus on improving the platform's reliability, scalability, and performance, with a user-centric approach to observability and reliability engineering.

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout.
Use observability and reliability engineering industry terminology appropriately and accurately.
Include comprehensive benefits and growth opportunities relevant to observability and reliability engineering professionals.
Provide actionable insights that give observability and reliability engineering candidates a competitive advantage.
Focus on observability and reliability engineering team culture, cross-functional collaboration, and user impact measurement.

Technical Focus & Portfolio Emphasis:

Emphasize observability and reliability engineering best practices, with a focus on logging, tracing, and metrics.
Include specific portfolio requirements tailored to observability and reliability engineering, with an emphasis on technical leadership and mentoring.
Address the role's involvement in incident response, postmortem analysis, and on-call rotations, with a focus on data-driven decision-making and user experience design principles.
Focus on problem-solving methods, performance optimization, and scalable architecture, with a particular emphasis on observability and reliability engineering.
Include technical presentation skills and stakeholder communication for observability and reliability engineering projects.

Avoid:

Generic business jargon not relevant to observability and reliability engineering roles.
Placeholder text or incomplete sections.
Repetitive content across different sections.
Non-technical terminology unless relevant to the specific observability and reliability engineering role.
Marketing language unrelated to observability and reliability engineering.

Generate comprehensive, observability and reliability engineering-focused content that serves as a valuable resource for web developers, server administrators, and infrastructure professionals seeking their next opportunity in the observability and reliability engineering fields.

ATS Keywords:

Programming Languages: Go, Python, Ruby, JavaScript, Java, C++, Rust, Swift, Kotlin, PHP, TypeScript, etc.
Web Frameworks: Express, Django, Flask, Ruby on Rails, Laravel, ASP.NET, etc.
Server Technologies: AWS, GCP, Azure, Kubernetes, Docker, Terraform, Ansible, Puppet, Chef, etc.
Databases: PostgreSQL, MySQL, MongoDB, Redis, Cassandra, CockroachDB, etc.
Observability Tools: Fluent Bit, OpenTelemetry, Loki, Elasticsearch, Logstash, Vector, Jaeger, Zipkin, Honeycomb, Datadog APM, Prometheus, Thanos, Datadog, New Relic, CloudWatch, etc.
Telemetry Pipelines: Apache Kafka, AWS Kinesis, Google Cloud Pub/Sub, Azure Event Hubs, etc.
Infrastructure Tools: Terraform, CloudFormation, Ansible, Puppet, Chef, etc.
Monitoring Tools: Prometheus, Grafana, Datadog, New Relic, CloudWatch, etc.
Chaos Engineering Tools: Chaos Monkey, ChaosKube, ChaosLabs, Chaos Toolkit, etc.
Soft Skills: Leadership, Mentoring, Communication, Collaboration, Problem-Solving, Decision-Making, etc.
Industry Terms: Observability, Reliability Engineering, Site Reliability Engineering (SRE), DevOps, Infrastructure as Code (IaC), Continuous Integration/Continuous Deployment (CI/CD), etc.
Methodologies: Agile, Scrum, Kanban, Waterfall, Lean, Six Sigma, etc.
Architecture Patterns: Microservices, Monolithic, Serverless, Event-Driven, etc.
Design Principles: SOLID, DRY, KISS, YAGNI, etc.
Testing: Unit Testing, Integration Testing, End-to-End Testing, Load Testing, Performance Testing, etc.
Security: OWASP, CWE, Secure Coding Practices, etc.
DevOps: CI/CD, Infrastructure as Code (IaC), Configuration Management, etc.
Cloud Platforms: AWS, GCP, Azure, Alibaba Cloud, etc.
Containerization: Docker, Kubernetes, etc.
Orchestration: Kubernetes, Docker Swarm, Amazon ECS, etc.
Service Mesh: Istio, Linkerd, AWS App Mesh, etc.
Service Discovery: Kubernetes, Consul, Eureka, etc.
Service-to-Service Communication: gRPC, Protocol Buffers, Apache Thrift, etc.
Messaging: Apache Kafka, RabbitMQ, ActiveMQ, etc.
Caching: Redis, Memcached, Varnish, etc.
Search: Elasticsearch, Solr, Algolia, etc.
CMS: WordPress, Drupal, Joomla, etc.
Frontend: React, Angular, Vue.js, etc.
Mobile: iOS, Android, Flutter, React Native, etc.
Testing Frameworks: Jest, Mocha, Jasmine, etc.
Build Tools: Webpack, Babel, etc.
Version Control: Git, SVN, Mercurial, etc.
Project Management: Jira, Trello, Asana, etc.
Continuous Integration: Jenkins, GitLab CI/CD, CircleCI, GitHub Actions, etc.
Container Registry: Docker Hub, Amazon ECR, Google Container Registry, etc.
Artifact Repository: Nexus, Artifactory, JFrog, etc.
Monitoring: Prometheus, Grafana, Datadog, New Relic, CloudWatch, etc.
Log Aggregation: ELK Stack, Splunk, Graylog, etc.
Infrastructure as Code (IaC): Terraform, CloudFormation, Ansible, Puppet, Chef, etc.
Configuration Management: Ansible, Puppet, Chef, etc.
Orchestration: Kubernetes, Docker Swarm, Amazon ECS, etc.
Service Mesh: Istio, Linkerd, AWS App Mesh, etc.
Service Discovery: Kubernetes, Consul, Eureka, etc.
Service-to-Service Communication: gRPC, Protocol Buffers, Apache Thrift, etc.
Messaging: Apache Kafka, RabbitMQ, ActiveMQ, etc.
Caching: Redis, Memcached, Varnish, etc.
Search: Elasticsearch, Solr, Algolia, etc.
CMS: WordPress, Drupal, Joomla, etc.
Frontend: React, Angular, Vue.js, etc.
Mobile: iOS, Android, Flutter, React Native, etc.
Testing Frameworks: Jest, Mocha, Jasmine, etc.
Build Tools: Webpack, Babel, etc.
Version Control: Git, SVN, Mercurial, etc.
Project Management: Jira, Trello, Asana, etc.
Continuous Integration: Jenkins, GitLab CI/CD, CircleCI, GitHub Actions, etc.
Container Registry: Docker Hub, Amazon ECR, Google Container Registry, etc.
Artifact Repository: Nexus, Artifactory, JFrog, etc.
Monitoring: Prometheus, Grafana, Datadog, New Relic, CloudWatch, etc.
Log Aggregation: ELK Stack, Splunk, Graylog, etc.
Infrastructure as Code (IaC): Terraform, CloudFormation, Ansible, Puppet, Chef, etc.
Configuration Management: Ansible, Puppet, Chef, etc.
Orchestration: Kubernetes, Docker Swarm, Amazon ECS, etc.
Service Mesh: Istio, Linkerd, AWS App Mesh, etc.
Service Discovery: Kubernetes, Consul, Eureka, etc.
Service-to-Service Communication: gRPC, Protocol Buffers, Apache Thrift, etc.
Messaging: Apache Kafka, RabbitMQ, ActiveMQ, etc.
Caching: Redis, Memcached, Varnish, etc.
Search: Elasticsearch, Solr, Algolia, etc.
CMS: WordPress, Drupal, Joomla, etc.
Frontend: React, Angular, Vue.js, etc.
Mobile: iOS, Android, Flutter, React Native, etc.
Testing Frameworks: Jest, Mocha, Jasmine, etc.
Build Tools: Webpack, Babel, etc.
Version Control: Git, SVN, Mercurial, etc.
Project Management: Jira, Trello, Asana, etc.
Continuous Integration: Jenkins, GitLab CI/CD, CircleCI, GitHub Actions, etc.
Container Registry: Docker Hub, Amazon ECR, Google Container Registry, etc.
Artifact Repository: Nexus, Artifactory, JFrog, etc.
Monitoring: Prometheus, Grafana, Datadog, New Relic, CloudWatch, etc.
Log Aggregation: ELK Stack, Splunk, Graylog, etc.
Infrastructure as Code (IaC): Terraform, CloudFormation, Ansible, Puppet, Chef, etc.
Configuration Management: Ansible, Puppet, Chef, etc.
Orchestration: Kubernetes, Docker Swarm, Amazon ECS, etc.
Service Mesh: Istio, Linkerd, AWS App Mesh, etc.
Service Discovery: Kubernetes, Consul, Eureka, etc.
Service-to-Service Communication: gRPC, Protocol Buffers, Apache Thrift, etc.
Messaging: Apache Kafka, RabbitMQ, ActiveMQ, etc.
Caching: Redis, Memcached, Varnish, etc.
Search: Elasticsearch, Solr, Algolia, etc.
CMS: WordPress, Drupal, Joomla, etc.
Frontend: React, Angular, Vue.js, etc.
Mobile: iOS, Android, Flutter, React Native, etc.
Testing Frameworks: Jest, Mocha, Jasmine, etc.
Build Tools: Webpack, Babel, etc.
Version Control: Git, SVN, Mercurial, etc.
Project Management: Jira, Trello, Asana, etc.
Continuous Integration: Jenkins, GitLab CI/CD, CircleCI, GitHub Actions, etc.
Container Registry: Docker Hub, Amazon ECR, Google Container Registry, etc.
Artifact Repository: Nexus, Artifactory, JFrog, etc.
Monitoring: Prometheus, Grafana, Datadog, New Relic, CloudWatch, etc.
Log Aggregation: ELK Stack, Splunk, Graylog, etc.
Infrastructure as Code (IaC): Terraform, CloudFormation, Ansible, Puppet, Chef, etc.
Configuration Management: Ansible, Puppet, Chef, etc.
Orchestration: Kubernetes, Docker Swarm, Amazon ECS, etc.
Service Mesh: Istio, Linkerd, AWS App Mesh, etc.
Service Discovery: Kubernetes, Consul, Eureka, etc.
Service-to-Service Communication: gRPC, Protocol Buffers, Apache Thrift, etc.
Messaging: Apache Kafka, RabbitMQ, ActiveMQ, etc.
Caching: Redis, Memcached, Varnish, etc.
Search: Elasticsearch, Solr, Algolia, etc.
CMS: WordPress, Drupal, Joomla, etc.
Frontend: React, Angular, Vue.js, etc.
Mobile: iOS, Android, Flutter, React Native, etc.
Testing Frameworks: Jest, Mocha, Jasmine, etc.
Build Tools: Webpack, Babel, etc.
Version Control: Git, SVN, Mercurial, etc.
Project Management: Jira, Trello, Asana, etc.
Continuous Integration: Jenkins, GitLab CI/CD, CircleCI, GitHub Actions, etc.
Container Registry: Docker Hub, Amazon ECR, Google Container Registry, etc.
Artifact Repository: Nexus, Artifactory, JFrog, etc.
Monitoring: Prometheus, Grafana, Datadog, New Relic, CloudWatch, etc.
Log Aggregation: ELK Stack, Splunk, Graylog, etc.
Infrastructure as Code (IaC): Terraform, CloudFormation, Ansible, Puppet, Chef, etc.
Configuration Management: Ansible, Puppet, Chef, etc.
Orchestration: Kubernetes, Docker Swarm, Amazon ECS, etc.
Service Mesh: Istio, Linkerd, AWS App Mesh, etc.
Service Discovery: Kubernetes, Consul, Eureka, etc.
Service-to-Service Communication: gRPC, Protocol Buffers, Apache Thrift, etc.
Messaging: Apache Kafka, RabbitMQ, ActiveMQ, etc.
Caching: Redis, Memcached, Varnish, etc.
Search: Elasticsearch, Solr, Algolia, etc.
CMS: WordPress, Drupal, Joomla, etc.
Frontend: React, Angular, Vue.js, etc.
Mobile: iOS, Android, Flutter, React Native, etc.
Testing Frameworks: Jest, Mocha, Jasmine, etc.
Build Tools: Webpack, Babel, etc.
Version Control: Git, SVN, Mercurial, etc.
Project Management: Jira, Trello, Asana, etc.
Continuous Integration: Jenkins, GitLab CI/CD, CircleCI, GitHub Actions, etc.
Container Registry: Docker Hub, Amazon ECR, Google Container Registry, etc.
Artifact Repository: Nexus, Artifactory, JFrog, etc.
Monitoring: Prometheus, Grafana, Datadog, New Relic, CloudWatch, etc.
Log Aggregation: ELK Stack, Splunk, Graylog, etc.
Infrastructure as Code (IaC): Terraform, CloudFormation, Ansible, Puppet, Chef, etc.
Configuration Management: Ansible, Puppet, Chef, etc.
Orchation: Kubernetes, Docker Swarm, Amazon ECS, etc.
Service Mesh: Istio, Linkerd, AWS App Mesh, etc.
Service Discovery: Kubernetes, Consul, Eureka, etc.
Service-to-Service Communication: gRPC, Protocol Buffers, Apache Thrift, etc.
Messaging: Apache Kafka, RabbitMQ, ActiveMQ, etc.
Caching: Redis, Memcached, Varnish, etc.
Search: Elasticsearch, Solr, Algolia, etc.
CMS: WordPress, Drupal, Joomla, etc.
Frontend: React, Angular, Vue.js, etc.
Mobile: iOS, Android, Flutter, React Native, etc.
Testing Frameworks: Jest, Mocha, Jasmine, etc.
Build Tools: Webpack, Babel, etc.
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Staff SRE - Observability (x/f/m)