Responsibilities
- Maintain and oversee backend services for the bill payment system to ensure consistent uptime and responsiveness.
- Independently troubleshoot and resolve live production issues, even in high-pressure situations.
- Collaborate with support teams to analyze and fix both new and recurring technical problems.
- Develop automation solutions such as scripts, templates, and workflows to reduce manual effort.
- Apply AI-powered tools in practical ways to speed up debugging, generate code, interpret logs, and draft documentation.
- Turn experimental AI applications into stable, repeatable processes and documented procedures.
- Produce and update clear runbooks, incident postmortems, and technical documentation for team-wide knowledge sharing.
- Proactively inform stakeholders and support staff about issue status, potential risks, and obstacles.
- Spot inefficient or time-consuming tasks and build lightweight tools or automations to streamline them.
- Purposefully test AI technologies to overcome actual workflow bottlenecks, not just for novelty.
- Review and verify all outputs from AI systems before applying them in production code, documentation, or incident resolution.
Compensation
Competitive salary and benefits package
Work Arrangement
Remote with optional in-office collaboration
Team
Small, agile engineering team focused on operational resilience and intelligent automation
Responsibilities (11)
- Maintain and operate Bill Pay backend services to ensure high availability and performance.
- Diagnose and resolve production incidents autonomously and under pressure.
- Partner with customer support to investigate and remediate recurring and new issues.
- Design and implement automations (scripts, templates, workflows) to eliminate repetitive operational tasks.
- Use AI tools pragmatically to accelerate debugging, generate code snippets, review logs, and produce documentation.
- Convert AI experiments into repeatable, reliable workflows and runbooks.
- Create and maintain clear runbooks, postmortems, and documentation so knowledge is shareable.
- Communicate status, risks, and blockers proactively to stakeholders and support teams.
- Identify repetitive or slow operational tasks and build small scripts, templates, automations, or AI-assisted workflows to reduce friction.
- Experiment with AI tools intentionally to solve real bottlenecks, not simply because they are new or trending.
- Validate AI-generated outputs before using them in production workflows, documentation, scripts, or incident analysis.
Available for qualified candidates