Associate Product Reliability Engineer

InvoiceCloud•Boston, MA

12d•$75,000 - $85,000

About The Position

InvoiceCloud is a fast-growing fintech leader recognized with 20 major awards in 2025, including USA TODAY and Boston Globe Top Workplaces, multiple SaaS Awards wins for Best Solution for Finance and FinTech, and national customer service honors from Stevie and the Business Intelligence Group. Judges also highlighted our mission to reduce digital exclusion and restore simplicity and dignity to how people pay for essential services, as well as our leadership in AI maturity and responsible innovation. It’s an award-winning, purpose-driven environment where top talent thrives. To learn more, visit InvoiceCloud.com . Job Details The Product Reliability Engineering team at InvoiceCloud partners with Software Engineering to monitor, support, and improve the reliability of the SaaS platform powering millions of digital payments and customer interactions every month. As an Associate Product Reliability Engineer, you will build foundational technical and diagnostic skills while supporting production operations for InvoiceCloud’s Payment Service Network. With guidance from senior team members, you’ll assist in debugging, monitoring, and incident response, and contribute to improving reliability through automation, dashboards, and documentation. Working closely with experienced engineers and product support teams, you will gain exposure to InvoiceCloud’s codebase, incident management practices, agile workflows, and delivery standards while building confidence and independence. Success Profile At InvoiceCloud, success in this role is grounded in our core competencies. These competencies represent the mindsets and behaviors that enable team members to deliver impact, innovate, and create value for our customers. Below outlines how each competency translates into meaningful actions and outcomes for this position. Results Driven Supports issue triage and debugging across production systems, using logs, metrics, and traces to identify symptoms and narrow hypotheses. Writes clean, functional, and well-tested code (primarily .NET/C#) to deliver small reliability improvements, automation, and fixes with defined scope and guidance. Assists in building and maintaining monitoring dashboards and alerting to improve visibility into platform health. Participates in incident response activities and post-incident reviews, demonstrating attention to detail and follow-through. Takes Ownership Owns assigned incident tickets or operational work items through resolution, communicating progress, impact, and blockers clearly. Documents recurring issues, troubleshooting steps, and runbooks so others can respond consistently and efficiently. Partners with senior engineers and product support teams to reproduce issues, validate fixes, and confirm service restoration. Follows InvoiceCloud’s development, security, and change-management standards, taking accountability for safe and reliable production outcomes. Drives Efficiency Uses Git and standard branching/review practices to streamline collaboration and ensure operational changes are traceable. Creates or improves automation scripts (PowerShell and/or Python) to reduce repetitive operational work and speed up diagnostics. Learns to prioritize reliability work using impact and urgency (e.g., incident severity, customer impact, and SLO risk) while meeting sprint goals. Helps improve incident response processes by identifying gaps (monitoring, runbooks, alerts) and proposing actionable remediations. Innovative Explores reliability and observability tools and techniques that improve detection, diagnosis, and recovery (e.g., better logging, actionable alerts, and dashboards). Leverages AI-assisted development tools (e.g., GitHub Copilot, Cursor, Windsurf) for debugging, code generation, and documentation, while learning to validate AI output critically. Contributes ideas for improving incident response, post-mortem practices, and production readiness during feature delivery. Demonstrates curiosity, experimentation, and a learning mindset, seeking feedback to build reliability engineering best practices.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related technical discipline
0–2 years of experience in software engineering, DevOps, production support, or technical support (internship, co-op, or professional)
Understanding of object-oriented programming, basic data structures, and algorithms
Familiarity with .NET/.NET Framework, C#, SQL, and version control systems (Git)
Exposure to cloud environments (Azure preferred) and basic concepts like deployments, configuration, and networking fundamentals
Exposure to scripting for automation and troubleshooting (Python and/or PowerShell)
Familiarity with monitoring/observability tools or concepts (dashboards, alerts, log queries); experience with New Relic or similar is a plus
Strong debugging/troubleshooting, problem-solving, collaboration, and written communication skills.

Responsibilities

Supports issue triage and debugging across production systems, using logs, metrics, and traces to identify symptoms and narrow hypotheses.
Writes clean, functional, and well-tested code (primarily .NET/C#) to deliver small reliability improvements, automation, and fixes with defined scope and guidance.
Assists in building and maintaining monitoring dashboards and alerting to improve visibility into platform health.
Participates in incident response activities and post-incident reviews, demonstrating attention to detail and follow-through.
Owns assigned incident tickets or operational work items through resolution, communicating progress, impact, and blockers clearly.
Documents recurring issues, troubleshooting steps, and runbooks so others can respond consistently and efficiently.
Partners with senior engineers and product support teams to reproduce issues, validate fixes, and confirm service restoration.
Follows InvoiceCloud’s development, security, and change-management standards, taking accountability for safe and reliable production outcomes.
Uses Git and standard branching/review practices to streamline collaboration and ensure operational changes are traceable.
Creates or improves automation scripts (PowerShell and/or Python) to reduce repetitive operational work and speed up diagnostics.
Learns to prioritize reliability work using impact and urgency (e.g., incident severity, customer impact, and SLO risk) while meeting sprint goals.
Helps improve incident response processes by identifying gaps (monitoring, runbooks, alerts) and proposing actionable remediations.
Explores reliability and observability tools and techniques that improve detection, diagnosis, and recovery (e.g., better logging, actionable alerts, and dashboards).
Leverages AI-assisted development tools (e.g., GitHub Copilot, Cursor, Windsurf) for debugging, code generation, and documentation, while learning to validate AI output critically.
Contributes ideas for improving incident response, post-mortem practices, and production readiness during feature delivery.
Demonstrates curiosity, experimentation, and a learning mindset, seeking feedback to build reliability engineering best practices.