📍 Job Overview

Job Title: Site Reliability Engineer
Company: BigID
Location: Buenos Aires, Argentina
Job Type: On-site
Category: DevOps Engineer
Date Posted: June 20, 2025
Experience Level: 5-10 years
Remote Status: On-site (Remote OK)

🚀 Role Summary

Key Responsibilities: Improve production infrastructure, build automation methodologies, manage AWS and GCP environments, enhance CI/CD processes, and implement monitoring solutions.
Key Technologies: Kubernetes, Docker, Python, Terraform, AWS, GCP, Datadog

📝 Enhancement Note: This role focuses on production infrastructure, requiring strong technical expertise in cloud platforms, containerization, and automation tools.

💻 Primary Responsibilities

Infrastructure Management: Own SRE responsibilities for AWS and GCP environments, ensuring availability, scalability, and reliability of production services.
Automation & CI/CD: Develop and debug on top of the Kubernetes infrastructure, improve cloud-native Terraform modules, and plan to close the automation backlog.
Monitoring & Observability: Design and implement monitoring, metrics, and dashboards using Datadog to ensure observability and proactive incident management.
Collaboration & Communication: Work closely with R&D teams in an Agile environment, communicate testing strategy and design, and propose improvements to decrease defects found in production.

📝 Enhancement Note: This role requires strong collaboration skills, as the engineer will work closely with multiple teams to improve infrastructure and ensure service reliability.

🎓 Skills & Qualifications

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

Experience: 5-7 years of experience as a DevOps Engineer with a strong focus on production infrastructure and cloud platforms.

Required Skills:

Proficient in Kubernetes and Docker
Experience with Python, Bash, and Groovy
Solid grasp of software development life cycle, best practices, and methods across multiple teams: Agile development, DevOps, CI/CD, team leadership, and mainly test automation
Experience with at least one of Jenkins, GitLab CI, or GitHub Actions
Experience working with AWS and GCP cloud platforms in a production environment
Hands-on experience with Terraform (preferably managed via env0 or similar tooling)
Experience with Datadog for building monitoring solutions, metrics, and dashboards
Excellent communication skills for documenting and connecting with other groups

Preferred Skills:

Experience in REST API automation and testing methodologies
Experience with Jira, Confluence, Git, and relational and non-relational DBs

📝 Enhancement Note: While the required skills are comprehensive, the preferred skills section highlights additional areas of expertise that would be beneficial for this role but are not strictly necessary.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience with Kubernetes, Docker, and cloud platforms (AWS, GCP)
Showcase automation projects and CI/CD pipelines
Highlight monitoring and observability projects using tools like Datadog
Present problem-solving skills and experience working with multiple teams

Technical Documentation:

Documented code with clear comments and version control experience
Well-structured and organized projects with clear architecture and design decisions
Performance metrics, optimization techniques, and testing methodologies

📝 Enhancement Note: As this role focuses on infrastructure and reliability, the portfolio should emphasize projects that demonstrate strong technical skills in these areas.

💵 Compensation & Benefits

Salary Range: The estimated salary range for a Site Reliability Engineer in Buenos Aires, Argentina, with 5-7 years of experience is ARS 250,000 - 350,000 per year (USD 2,700 - 3,800 per month). This estimate is based on regional market data and industry standards for similar roles.

Benefits:

Competitive benefits package, including health insurance and retirement plans
Opportunities for professional development and growth
A dynamic and collaborative work environment with a strong emphasis on innovation and continuous learning

Working Hours: Full-time position with standard working hours, Monday to Friday, 9:00 AM to 6:00 PM (with a 1-hour lunch break). Flexible hours may be available for remote work.

📝 Enhancement Note: The salary range provided is an estimate based on regional market data and may vary depending on the candidate's experience and skills. The benefits section highlights some of the key benefits offered by BigID, but candidates should verify the details with the company.

🎯 Team & Company Context

🏢 Company Culture

Industry: BigID operates in the data security, compliance, privacy, and AI data management sectors, focusing on solutions that help customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.

Company Size: BigID is a growing tech startup with a global team passionate about innovation and next-gen technology. As a mid-sized company, BigID offers a collaborative and dynamic work environment with ample opportunities for growth and professional development.

Founded: 2016

Team Structure:

The DevOps team is responsible for the R&D platforms, which are based on containers and microservices.
The team works closely with the R&D team to improve production infrastructure and build automation methodologies.
The team consists of experienced engineers with a strong focus on collaboration and problem-solving.

Development Methodology:

Agile development methodologies are used to ensure flexibility and adaptability in the development process.
Code reviews, testing, and quality assurance practices are implemented to maintain high code quality and performance.
Deployment strategies, CI/CD pipelines, and server management are essential aspects of the role.

Company Website: BigID

📝 Enhancement Note: BigID's company culture emphasizes innovation, collaboration, and continuous learning, providing a dynamic environment for professionals seeking to grow and make an impact in the data management and security sectors.

📈 Career & Growth Analysis

Web Technology Career Level: This Site Reliability Engineer role is at the senior level, requiring a strong technical background in cloud platforms, containerization, and automation tools. The engineer will be responsible for managing and evolving infrastructure as code, designing monitoring solutions, and collaborating with multiple teams to ensure service reliability.

Reporting Structure: The Site Reliability Engineer will report directly to the DevOps Manager and work closely with the R&D teams, ensuring seamless collaboration and communication.

Technical Impact: The engineer will have a significant impact on the reliability, scalability, and performance of BigID's production services, directly contributing to the company's mission of helping customers reduce risk and achieve compliance.

Growth Opportunities:

Technical Growth: Expand expertise in cloud platforms, containerization, and automation tools, and potentially move into a technical leadership role.
Team Leadership: Develop management and mentoring skills, and transition into a team lead or engineering manager position.
Architecture & Design: Gain experience in designing and implementing scalable and reliable infrastructure, and contribute to the company's architectural decisions.

📝 Enhancement Note: BigID offers numerous growth opportunities for technical professionals seeking to advance their careers in data management, security, and compliance.

🌐 Work Environment

Office Type: BigID's office in Buenos Aires is a modern, collaborative workspace designed to foster innovation and creativity. The office features open-plan workspaces, meeting rooms, and breakout areas for team collaboration and relaxation.

Office Location(s): Buenos Aires, Argentina

Workspace Context:

Collaboration: The workspace is designed to encourage collaboration and communication between team members, with open-plan workspaces and breakout areas for team meetings and brainstorming sessions.
Development Tools: BigID provides access to the latest development tools, multiple monitors, and testing devices to ensure optimal productivity and performance.
Cross-Functional Interaction: The workspace is shared with other teams, promoting cross-functional collaboration and knowledge sharing between departments.

Work Schedule: Full-time position with standard working hours, Monday to Friday, 9:00 AM to 6:00 PM (with a 1-hour lunch break). Flexible hours may be available for remote work.

📝 Enhancement Note: BigID's work environment is designed to be collaborative, innovative, and engaging, with a strong focus on fostering creativity and productivity.

📄 Application & Technical Interview Process

Interview Process:

Online Assessment: Complete an online assessment to evaluate your technical skills and problem-solving abilities.
Technical Phone Screen: Participate in a phone or video call to discuss your technical background, experience, and career goals.
On-site Technical Interview: Visit BigID's office in Buenos Aires for a face-to-face interview, focusing on your technical skills, problem-solving abilities, and cultural fit.
Final Decision: BigID will make a final decision based on your interview performance, technical skills, and cultural fit.

Portfolio Review Tips:

Highlight projects that demonstrate your experience with Kubernetes, Docker, and cloud platforms (AWS, GCP).
Showcase your automation and CI/CD pipeline projects, emphasizing your ability to improve production infrastructure and build automation methodologies.
Present your monitoring and observability projects, highlighting your ability to design and implement monitoring solutions using tools like Datadog.
Prepare a well-structured and organized portfolio, with clear architecture and design decisions, to demonstrate your problem-solving skills and experience working with multiple teams.

Technical Challenge Preparation:

Brush up on your Kubernetes, Docker, and cloud platform (AWS, GCP) skills, focusing on infrastructure management, automation, and monitoring.
Practice problem-solving exercises and algorithms to demonstrate your technical prowess and ability to think critically.
Prepare for behavioral questions that assess your collaboration, communication, and teamwork skills, as well as your ability to work in an Agile environment.

ATS Keywords: [Provided in the ATS Keywords section below]

📝 Enhancement Note: BigID's interview process is designed to evaluate candidates' technical skills, problem-solving abilities, and cultural fit, with a strong emphasis on collaboration and communication.

🛠 Technology Stack & Web Infrastructure

Cloud Platforms:

AWS: Amazon Web Services is used for infrastructure as code, managed services, and data storage.
GCP: Google Cloud Platform is used for compute services, data processing, and machine learning.

Containerization & Orchestration:

Kubernetes: Used for container orchestration and managing the deployment and scaling of applications.
Docker: Used for creating, deploying, and running applications using containers.

Automation & CI/CD:

Terraform: Used for infrastructure as code and managing cloud resources.
env0: Used for Terraform workflows and managing infrastructure as code.
Jenkins, GitLab CI, or GitHub Actions: Used for CI/CD pipelines and automated testing.

Monitoring & Observability:

Datadog: Used for monitoring, metrics, and dashboards to ensure observability and proactive incident management.

Programming Languages:

Python: Used for scripting, automation, and data processing.
Bash & Groovy: Used for scripting, automation, and configuration management.

📝 Enhancement Note: BigID's technology stack is designed to be cutting-edge, scalable, and reliable, with a strong focus on automation, containerization, and cloud-native architecture.

👥 Team Culture & Values

Web Development Values:

Care: BigID values its customers and employees, fostering a culture of care and support.
Do: BigID encourages its team members to take ownership and responsibility for their work, driving results and making a positive impact.
Try: BigID promotes a growth mindset, encouraging its team members to learn, adapt, and persevere in the face of challenges.
Shine: BigID strives to stand out and make a difference, setting high standards for innovation, quality, and excellence.

Collaboration Style:

Cross-Functional Integration: BigID encourages collaboration between teams, promoting knowledge sharing, and driving innovation through collective effort.
Code Review Culture: BigID values code reviews and peer programming, ensuring high code quality and fostering a collaborative learning environment.
Knowledge Sharing: BigID promotes a culture of continuous learning, with regular training, workshops, and mentoring opportunities.

📝 Enhancement Note: BigID's team culture is designed to be collaborative, innovative, and supportive, with a strong focus on fostering growth, learning, and excellence.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Infrastructure Management: Optimize and manage AWS and GCP environments, ensuring the availability, scalability, and reliability of production services.
Automation & CI/CD: Develop and debug on top of the Kubernetes infrastructure, improve cloud-native Terraform modules, and plan to close the automation backlog.
Monitoring & Observability: Design and implement monitoring, metrics, and dashboards using Datadog to ensure observability and proactive incident management.
Emerging Technologies: Stay up-to-date with the latest cloud, containerization, and automation tools, and adapt BigID's infrastructure to incorporate new technologies as they emerge.

Learning & Development Opportunities:

Technical Skill Development: Expand your expertise in cloud platforms, containerization, and automation tools, and stay current with the latest industry trends and best practices.
Conferences & Certifications: Attend industry conferences, obtain relevant certifications, and engage with online communities to enhance your knowledge and skills.
Technical Mentorship: Seek mentorship opportunities from senior team members to gain insights into industry best practices, architecture decisions, and career growth strategies.

📝 Enhancement Note: BigID offers numerous technical challenges and growth opportunities for professionals seeking to advance their careers in data management, security, and compliance.

💡 Interview Preparation

Technical Questions:

Cloud Platforms: Demonstrate your expertise in AWS and GCP, highlighting your experience with infrastructure as code, managed services, and data storage.
Containerization & Orchestration: Showcase your knowledge of Kubernetes and Docker, emphasizing your ability to manage and deploy applications using containers.
Automation & CI/CD: Discuss your experience with automation tools, CI/CD pipelines, and infrastructure as code, highlighting your ability to improve production infrastructure and build automation methodologies.
Monitoring & Observability: Explain your approach to monitoring and observability, emphasizing your ability to design and implement monitoring solutions using tools like Datadog.

Company & Culture Questions:

Company Culture: Demonstrate your understanding of BigID's company culture, values, and mission, and explain how you would contribute to the team's success.
Agile Methodologies: Discuss your experience working in an Agile environment, highlighting your ability to collaborate with multiple teams and adapt to changing priorities.
User Experience Impact: Explain how you would ensure the reliability, scalability, and performance of BigID's production services, directly contributing to the company's mission of helping customers reduce risk and achieve compliance.

Portfolio Presentation Strategy:

Project Selection: Choose projects that demonstrate your experience with Kubernetes, Docker, and cloud platforms (AWS, GCP), emphasizing your ability to improve production infrastructure and build automation methodologies.
Storytelling: Craft a compelling narrative for each project, highlighting the challenges you faced, the solutions you implemented, and the outcomes you achieved.
Technical Deep Dive: Prepare to discuss the technical aspects of your projects in detail, emphasizing your expertise in cloud platforms, containerization, and automation tools.

📝 Enhancement Note: BigID's interview process is designed to evaluate candidates' technical skills, problem-solving abilities, and cultural fit, with a strong emphasis on collaboration and communication.

📌 Application Steps

To apply for this Site Reliability Engineer position at BigID:

Submit Your Application: Click the "Apply" button on the job listing and follow the instructions to submit your resume and cover letter.
Prepare Your Portfolio: Tailor your portfolio to highlight your experience with Kubernetes, Docker, and cloud platforms (AWS, GCP), emphasizing your ability to improve production infrastructure and build automation methodologies.
Optimize Your Resume: Highlight your relevant skills and experience, emphasizing your technical proficiency in cloud platforms, containerization, and automation tools.
Research BigID: Familiarize yourself with BigID's company culture, values, and mission, and prepare thoughtful questions to ask during the interview process.
Prepare for Technical Challenges: Brush up on your technical skills, practice problem-solving exercises, and prepare for behavioral questions that assess your collaboration, communication, and teamwork skills.

⚠️ 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.

🛠 ATS Keywords

Programming Languages:

Python
Bash
Groovy

Web Frameworks & Libraries:

Kubernetes
Docker

Server Technologies:

Databases:

Relational databases (e.g., MySQL, PostgreSQL)
NoSQL databases (e.g., MongoDB, Cassandra)

Tools:

Terraform
env0
Jenkins
GitLab CI
GitHub Actions
Datadog

Methodologies:

Agile development
DevOps
CI/CD
Test automation

Soft Skills:

Problem-solving
Collaboration
Communication
Teamwork
Adaptability
Learning agility

Industry Terms:

Infrastructure as code (IaC)
Site reliability engineering (SRE)
Cloud-native architecture
Containerization
Automation
Monitoring
Observability
Production infrastructure
CI/CD pipelines
DevOps
Agile development
Server management
Technical leadership
Architecture decisions
Emerging technologies
Data management
Data security
Compliance
Privacy
AI data management

Site Reliability Engineer