This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Site Reliability Engineer (SRE) based in Brazil.

This role is at the core of ensuring reliability, scalability, and performance across mission-critical systems in a highly innovative technology environment. You will be responsible for shaping and evolving observability, incident response, and automation practices that directly impact platform stability and customer experience. Acting as a bridge between development, platform, and security teams, you will help define operational excellence standards and drive a “software as operations” mindset. The environment is fast-paced, collaborative, and strongly oriented toward engineering ownership and continuous improvement. You will work on distributed systems running in Kubernetes-based infrastructures, with strong emphasis on resilience and proactive problem-solving. A key part of your mission will be reducing manual operational work through automation and AI-driven approaches (AIOps). This is a high-impact role where your work will directly improve system reliability and engineering efficiency at scale.

Accountabilities:

In this role, you will be responsible for building and maintaining highly reliable systems while continuously improving operational maturity across engineering teams. You will define reliability standards, lead incident management practices, and drive automation initiatives that reduce operational toil and increase system resilience.

Define and track SLI, SLO, and SLA metrics, operating with error budget principles

Design and implement high availability, disaster recovery, and resilience strategies (RTO/RPO)

Build and evolve observability platforms (logs, metrics, traces, alerts, dashboards)

Lead incident response processes, including on-call coordination and escalation flows

Perform root cause analysis (RCA) and post-mortem reviews with preventive actions

Optimize system performance through capacity planning, tuning, and infrastructure analysis

Drive automation and self-healing solutions to eliminate repetitive operational tasks

Apply AI-driven approaches (AIOps) for anomaly detection, log analysis, and troubleshooting

Collaborate with development teams to improve system reliability and deployment safety

Ensure security, compliance, and operational best practices in production environments

Requirements:

We are looking for a strong technical profile with deep infrastructure understanding, solid automation skills, and a proactive mindset focused on reliability and scalability.

Experience as an SRE, DevOps, or Backend/Platform Engineer in production environments

Strong knowledge of Kubernetes, Docker, and cloud-native architectures

Solid experience with observability tools (Grafana, Prometheus, ELK, Datadog, or similar)

Strong understanding of Linux systems, networking, HTTP, DNS, and TLS/SSL

Proficiency in scripting/automation using Python, Shell, or similar languages

Experience with distributed systems, incident management, and troubleshooting

Familiarity with CI/CD pipelines, infrastructure automation, and Git workflows

Knowledge of reliability engineering concepts (SLI, SLO, error budgets) is highly valued

Experience with high-availability systems and production-scale environments

Strong analytical thinking, autonomy, and structured problem-solving skills

Clear communication skills and ability to collaborate across engineering teams

Familiarity with AIOps, OpenTelemetry, or chaos engineering is a plus

Benefits:

100% remote work, with flexibility to work from anywhere in Brazil

Competitive compensation aligned with senior-level engineering roles

Health and dental care plans

Life insurance coverage

Meal and food allowances (depending on contract model)

Home office support and ergonomic assistance

Wellness and mental health support programs

Access to fitness and wellness platforms and partnerships

Learning and development programs to support career growth

Performance-based recognition and engagement initiatives

Collaborative and innovation-driven engineering culture.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Site Reliability Engineer (SRE)

Descrição do Emprego - Site Reliability Engineer (SRE)

Accountabilities:

Requirements:

Benefits:

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