Quick Summary
Mid-level SRE Analyst to manage observability and incident response for a 100% AWS cloud environment. Key tasks include monitoring alert channels using Dynatrace, Grafana, and Kibana, investigating production bugs, and supporting deployments via GitHub Actions. Requirements include proficiency in reading logs and metrics, scripting skills in Python or Bash, and a solid understanding of Linux, Docker, and networking protocols.
If you are passionate about solving problems and developing solutions, and want to work with cutting-edge technologies in a dynamic environment, this position is for you!
We are a fast-growing scale-up with incredible results, still with much to be structured, created, tested, adapted, and expanded. This is a great opportunity to put your knowledge into practice, be highly recognized, and leave your mark on our history (and a significant one on your resume). We are pursuing ambitious results for the coming years, and achieving them depends only on us – working together and closely.
We are a company of innovative, creative, and diverse people, so we are super open to welcoming you with your diversity.
What we value here:
- Love for change;
- Results;
- Proximity;
- Generating fans;
- Objectivity;
- Self-responsibility.
Your daily activities will include:
- Monitoring alert channels (Google Chat, Dynatrace, Grafana, Kibana, and others), identifying anomalies, validating their legitimacy, and notifying responsible parties or taking corrective actions;
- Utilizing observability tools (Dynatrace, Grafana, Kibana, OpenSearch) to investigate logs, metrics, and traces in search of root causes;
- Acting as technical support for development team demands, investigating bugs and unexpected behaviors in production and homologation environments;
- Participating in war rooms and incidents, supporting real-time triage, communication, and documentation;
- Monitoring deployments and validating service health post-release, identifying regressions or degradations;
- Collaborating with development teams in analyzing problems involving application and infrastructure;
- Creating and maintaining runbooks, checklists, and incident documentation, contributing to the team's knowledge base;
- Supporting the construction and refinement of dashboards and alerts to improve observability coverage.
Our technology stack
- Cloud: AWS (100% Cloud)
- Orchestration: Kubernetes, Docker
- Observability: Dynatrace, Grafana, Kibana, OpenSearch, Prometheus, CloudWatch
- CI/CD: GitHub Actions (preferred), Jenkins, Bitbucket CI
- Version Control: GitHub (preferred), Bitbucket
- Containerization: Docker
- Databases: PostgreSQL, MySQL, RDS
- Languages: Python, PHP, Java, Bash
- Messaging: Kafka, SQS
What you need to know?
Observability & Troubleshooting
- Ability to read and interpret logs, metrics, and traces — understanding what the data is saying even without someone pointing it out;
- Basic or intermediate experience with tools like Dynatrace, Grafana, Kibana, OpenSearch, CloudWatch, or similar;
- Ability to correlate events: understanding that a latency spike, a 500 error, and a deploy at 2 PM can be the same story;
Development & Automation
- Knowledge of Python or Bash for automation scripts, data analysis, or investigation support;
- Familiarity with Git (commits, branches, PRs) — you will work alongside developers;
- Basic understanding of how web applications work: REST APIs, HTTP/HTTPS, status codes, authentication;
- Willingness to read code even without being a developer — understanding an application's flow greatly aids bug investigation;
Infrastructure
- Familiarity with Linux and command line in daily use;
- Understanding of Docker and containers;
- Basic knowledge of networking: DNS, load balancing, HTTP/HTTPS protocols;
- AWS is a plus — no need to be an expert, but knowing how to navigate the console helps;
Soft Skills (as important as technical skills)
- Investigative profile: you don't rest until you understand the