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Senior Support Engineer

salary Salary :

R$72,000 - 90,000 yearly

icon building Empresa : Jobgether
icon briefcase Tipo de Emprego : Periodo Integral
icon remote-alt Remote / Work from Home

Descrição do Emprego - Senior Support Engineer


This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Support Engineer based in Brazil.


This role offers the opportunity to solve complex technical challenges while ensuring the stability and reliability of critical financial technology solutions.
You will act as a key connection point between engineering, customer experience, and clients, helping resolve production issues and improve operational excellence.
The position combines hands-on troubleshooting, automation, monitoring, and cross-functional collaboration in a fast-paced technology environment.
You will contribute to building scalable support processes, improving system reliability, and preventing recurring issues through proactive solutions.
The ideal candidate enjoys solving difficult problems, working with modern cloud technologies, and driving continuous improvement.
You will collaborate with global teams while gaining exposure to distributed systems, DevOps practices, and innovative AI-powered workflows.
This is an opportunity to make a direct impact on products that help businesses operate more efficiently and securely.


Accountabilities:


The Senior Support Engineer will be responsible for maintaining production stability, resolving complex technical issues, and improving support operations through engineering-driven solutions.



  • Lead complex technical troubleshooting and incident resolution from investigation through the implementation of permanent solutions.

  • Own production issues across distributed systems, infrastructure, and application layers.

  • Design and improve monitoring processes, including playbooks, runbooks, incident documentation, and knowledge base resources.

  • Leverage AI-powered tools and automation workflows to improve issue detection, diagnosis, and resolution speed.

  • Collaborate with engineering, customer experience, and client-facing teams to resolve technical challenges and improve service delivery.

  • Develop and maintain automation scripts and tools to reduce manual work and increase system reliability.

  • Establish best practices for incident response, monitoring, logging, and proactive issue prevention.

  • Support the creation of scalable monitoring systems and operational processes.

  • Analyze recurring technical problems and implement strategic improvements to prevent future incidents.

  • Act as a communication bridge between technical teams and customers during critical incidents and implementation challenges.


Requirements:


The ideal candidate has strong experience in technical support, reliability engineering, or software engineering, with a passion for solving complex technical problems and improving systems at scale.



  • 3–5 years of experience in technical support, Site Reliability Engineering (SRE), Forward Deployed Engineering, or full-stack engineering roles.

  • Strong experience troubleshooting distributed systems and production environments.

  • Expertise with observability and monitoring platforms such as DataDog, ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, Grafana, or similar tools.

  • Solid knowledge of infrastructure and DevOps practices, including:

    • Infrastructure as Code (IaC).

    • Containerization with Docker and Kubernetes.

    • Cloud-native architectures.

    • CI/CD pipelines.



  • Strong experience with AWS infrastructure, database management, and system monitoring.

  • Experience with incident management processes and high-intensity support environments.

  • Ability to create automation solutions and improve operational workflows.

  • Strong English communication skills, with the ability to collaborate effectively with global teams and external stakeholders.

  • Proactive mindset with strong ownership, problem-solving ability, and experience working with SLA/SLO environments.


Nice to have:



  • Experience in fintech, payments, startup, or scale-up environments.

  • Familiarity with multiple programming languages and frontend/backend technologies.

  • Experience implementing automation initiatives or improving support processes.

  • Ability to thrive in fast-paced environments with high ownership and impact.


Benefits:



  • Competitive compensation based on experience, skills, and expertise.

  • Total compensation range of approximately USD 72K–90K, plus equity opportunities.

  • Equity participation to share in company growth and success.

  • Unlimited paid time off (PTO) with flexibility.

  • Annual learning and development stipend to support professional growth.

  • Opportunity to work remotely from Brazil.

  • Exposure to international projects and global engineering teams.

  • Collaborative culture focused on innovation, ownership, and continuous learning.


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!


 

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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