Full-Time Site Reliability Engineer
Software Mind is hiring a remote Full-Time Site Reliability Engineer. The career level for this job opening is Experienced and is accepting Latam based applicants remotely. Read complete job description before applying.
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Software Mind is seeking qualified candidates located in Latam to fill the role of Site Reliability Engineer.
About the role: Our client serves over 300,000 businesses across 25 industries in the US. They facilitate industry initiatives, manage the company System of Standards, provide education and support, and connect communities through events and online forums.
We are seeking a motivated Site Reliability Engineer to join our dynamic team.
The ideal candidate will assist in the development, deployment, and maintenance of our software systems, ensuring seamless delivery and high reliability.
Key responsibilities include:
- Collaborating with application teams and technical staff to ensure applications run reliably.
- Designing, implementing, and managing build automation, operational tooling, and core libraries to enhance platform reliability and reduce friction.
- Creating and integrating optimal deployment architecture patterns for the software delivery team.
- Building a robust platform where all microservices inherit unified monitoring, authentication, and observability best practices.
Qualifications:
- +90% English proficiency (written and oral, at least B2 level), with excellent communication skills
- 3+ years building and operating distributed cloud-native applications (Azure, AWS, or GCP)
- Knowledge of modern build and deployment platforms in cloud-native environments
- Proficient programming skills (e.g., C#, Java, Python, Golang, Rust, JavaScript/TypeScript, Bash, PowerShell, Ruby)
- Experience analyzing runtime diagnostic data (thread dumps, memory dumps, event traces, syslog)
- Experience with Angular, HTML, CSS (or other UI technologies) is a plus
- Knowledge of SQL databases and query writing
- Familiarity with Git version control and basic CI/CD principles
- Comfortable debugging and building in production
- Experience with distributed trace and metric-based observability tools