Senior Backend Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Oversee and manage Bill Pay backend services to guarantee optimal performance and high availability.

• Independently diagnose and resolve production incidents, even in high-pressure situations.

• Collaborate with customer support to investigate and address both recurring and new issues.

• Design and implement automation solutions (scripts, templates, workflows) to reduce repetitive operational tasks.

• Utilize AI tools effectively to enhance debugging processes, generate code snippets, analyze logs, and create documentation.

• Transform AI experiments into reliable, repeatable workflows and runbooks.

• Develop and maintain comprehensive runbooks, postmortems, and documentation to facilitate knowledge sharing.

• Proactively communicate status updates, risks, and obstacles to stakeholders and support teams.

• Identify repetitive or time-consuming operational tasks and create small scripts, templates, automations, or AI-assisted workflows to alleviate challenges.

• Intentionally experiment with AI tools to resolve genuine bottlenecks, rather than simply following trends.

• Assess AI-generated outputs for accuracy before integrating them into production workflows, documentation, scripts, or incident analysis.

⛳️ Requirements

• A minimum of 5 years of backend engineering experience, with substantial production support responsibilities.

• Proven expertise in Java for backend services, APIs, and microservices development.

• Proficient in Python for scripting, automation, and tool development.

• Strong SQL skills, with experience in debugging and optimizing database queries.

• Familiarity with MySQL and PostgreSQL in live production settings.

• Hands-on experience using Datadog for monitoring and observability purposes.

• Experience with containerization and orchestration technologies like Docker and Kubernetes.

• Practical knowledge of AWS for deploying and managing services effectively.

• Demonstrated, practical use of AI tools (LLMs, copilots, agents) in everyday tasks, including examples of prompts, automations, or workflows developed.

• Strong skills in incident management, troubleshooting, and communication; capable of reporting status and risks proactively.

• Ability to articulate how AI has transformed workflows through prompt patterns, coding configurations, review cycles, automations, or templates.

• Sound judgment on when to refrain from using AI, along with the ability to validate AI-generated outputs before relying on them.

• Experience in converting one-time AI experiments into repeatable workflows, runbooks, scripts, or team practices.

• Capability to identify genuine workflow bottlenecks and strategically use AI to minimize operational friction.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career advancement.

• Flexible work environment with remote work options.

• Collaborative team culture that values innovation and creativity.