Please upload your CV Resume in English.
Monthly salary : $4,000 - $5,500 USD
Along with our partner, we are seeking a Senior SRE / Production Support Engineer to lead the operational reliability, stability, and performance of their production systems. The selected professional will serve as a technical leader for incident response, root cause analysis, and long-term operational improvements. This role requires deep expertise in AWS serverless architectures, Python backends, PostgreSQL, and frontend technologies like React / Amplify.
The Senior Production Support Engineer not only resolves incidents but also drives system improvements, mentors junior engineers, and shapes processes for reliability and monitoring.
Responsibilities :
Lead incident management for production issues across : AWS Lambda-based microservices, PostgreSQL (RDS), and React / Amplify frontend applications
Investigate, diagnose, and resolve complex production issues, including performance, data, and configuration problems.
Conduct and lead post-incident reviews and root cause analyses (RCA), driving preventive solutions.
Mentor and guide junior / mid-level production support engineers in troubleshooting and operational best practices.
Maintain and enhance monitoring, alerting, logging, and observability tools (CloudWatch, X-Ray, DataDog, etc.).
Collaborate with engineering teams to improve system reliability, scalability, and maintainability.
Own and improve runbooks, playbooks, and operational documentation.
Participate in on-call rotations, providing technical leadership during high-impact incidents.
Analyze recurring issues and propose architectural or procedural improvements to prevent recurrence.
Support deployment validation, emergency rollbacks, and operational changes.
Partner with DevOps and Engineering teams to optimize performance, cost, and availability of cloud resources.
Required Qualifications :
5+ years of experience in production support, SRE, DevOps, or backend engineering roles.
Strong expertise with AWS services, particularly Lambda, API Gateway, RDS (PostgreSQL), S3, Cognito, and CloudWatch.
Proficient in Python, with the ability to read, debug, and modify code to resolve issues.
Deep understanding of PostgreSQL, including query optimization, data integrity, and troubleshooting.
Experience managing and improving observability, monitoring, and alerting in production systems.
Proven experience handling high-severity incidents and leading incident response.
Strong problem-solving skills and ability to navigate distributed systems.
Excellent communication skills for incident reporting, collaboration, and mentoring.
Preferred Qualifications :
Experience with frontend technologies (React, Amplify) for debugging full-stack issues.
Familiarity with serverless architecture best practices and cost / performance optimization.
Experience with infrastructure-as-code (CloudFormation, CDK, Terraform).
Knowledge of automation and scripting for operational tasks (Python preferred).
Prior experience in defining or improving SLOs, SLAs, and operational KPIs.
Familiarity with modern CI / CD pipelines and automated deployment strategies.
Hands-on experience with observability and monitoring platforms (DataDog, New Relic, Sentry).
Success Indicators :
Production incidents are resolved quickly and effectively, minimizing business impact.
Post-incident RCAs lead to measurable improvements in system reliability.
Operational playbooks and runbooks are well-maintained and widely used.
Junior / mid-level engineers are mentored effectively and develop troubleshooting skills.
Systems are proactively monitored, optimized, and improved for stability, scalability, and cost efficiency.
Tools You May Use :
AWS Services : Lambda, RDS (PostgreSQL), S3, API Gateway, Cognito, CloudWatch, X-Ray, SNS / SQS, EventBridge
Languages & Scripting : Python
Monitoring & Observability : CloudWatch, DataDog, Sentry, X-Ray
Version Control & CI / CD : GitHub / GitLab, CI / CD pipelines
Frontend Collaboration : React, Amplify
Ticketing & Collaboration : Jira, Confluence
AI Prompting : Cursor, ChatGPT
Benefits :
A fully remote position with a structured schedule that supports work-life balance.
The opportunity to join a forward-thinking company transforming the future of film and television production through cutting-edge technology.
Two weeks of paid vacation per year.
10 paid days for local holidays.
Work Schedule : US Pacific Standard Time
Support Engineer • Taquarussu do Porto, Tocantins, Brazil