Site Reliability Engineer

About the role

EarnIn is a pioneer in earned wage access, providing financial flexibility to those who need it most. As a Site Reliability Engineer, you will play a crucial role in ensuring our systems are reliable and resilient, enhancing the trust and satisfaction of our community members.

Responsibilities

• Design and improve systems with resilience and graceful degradation in mind.
• Plan for capacity and possible failure modes.
• Define and measure Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
• Use observability tools such as Datadog, CloudWatch, logs, metrics, traces, and APM.
• Build signal-heavy, noise-light visibility into production systems.
• Configure and improve alerting and routing through incident management workflows.
• Participate in incident response from detection and triage through communication, resolution, postmortems, and follow-up.
• Transform production learnings into better alerts, clearer runbooks, safer deployments, stronger observability, and more reliable services.
• Harness AI-assisted development and operational workflows to minimize toil, accelerate investigation, enhance documentation, and streamline infrastructure and reliability work.
• Meticulously validate AI-generated output before applying it to production systems or operational workflows.
• Collaborate with product engineering and platform teams to implement, explain, and support reliability practices, ensuring they are practical, understandable, and actionable.

Requirements

• Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience.
• 3+ years of experience in SRE, Software Engineering, Infrastructure Engineering, or a related role.
• Hands-on coding experience in Python, Go, or similar production-oriented programming languages.
• Experience operating production systems and contributing to reliability, observability, incident response, infrastructure, or automation improvements.
• Working knowledge of SLIs, SLOs, error budgets, MTTR, and how reliability data informs engineering tradeoffs.
• Experience using logs, metrics, dashboards, traces, and alerts to diagnose production issues.
• Experience with distributed systems concepts such as retries, backoff, timeouts, graceful degradation, capacity planning, and failure isolation.
• Experience improving alert quality, runbooks, incident processes, and follow-through after production issues.
• Ability to communicate clearly, write useful documentation, and explain reliability concepts in plain language.
• Experience using AI-assisted tools such as GitHub Copilot, Cursor, ChatGPT, Claude, or similar tools as part of your software development or operational workflow.
• Interest in using AI-assisted workflows to reduce toil, accelerate investigation, improve infrastructure-as-code workflows, and strengthen operational practices.
• Interest in mentoring peers and growing your impact across teams over time.

Qualifications

• Passionate about building products that deliver real-time financial flexibility for those with unique needs.
• Strong problem-solving skills and ability to handle complex issues with precision and efficiency.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Proven track record of delivering high-quality, reliable systems.
• Comfortable working in a dynamic, fast-paced environment with tight deadlines.

Skills

• Python, Go, or similar production-oriented programming languages.
• Observability tools (Datadog, CloudWatch, logs, metrics, traces, APM).
• Incident response and management.
• AI-assisted development tools (GitHub Copilot, Cursor, ChatGPT, Claude).
• Reliability engineering principles and practices.

Benefits

At EarnIn, we offer a competitive compensation package including a base salary range of $189,000 - $232,000 plus equity and benefits. This is a hybrid position in Mountain View (Headquarters) and requires in-office work 2 days a week.

Pay

The base salary range for this full-time position is $189,000 - $232,000 plus equity and benefits.

Schedule

This is a hybrid position in Mountain View (Headquarters) and requires in-office work 2 days a week.