Systems Operations Support Analyst
Job Description
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About the Role
We are seeking a proactive Systems Operations Support Analyst to support our fulfillment platform and operational systems during off-hours. This role is responsible for monitoring production systems, investigating incidents, troubleshooting operational issues, and ensuring fulfillment operations continue running smoothly.
During your shift, you'll often be the primary engineering resource supporting the business. The ideal candidate is naturally curious, enjoys solving technical problems, and knows how to investigate issues across logs, databases, APIs, and application code before escalating when necessary.
The ideal candidate thrives on detailed execution, possesses strong foundational Python, JSON, and SQL skills, and can communicate complex technical issues clearly and concisely in English.
The expected hours are Mon-Fri 3pm-11pm EST, with every other weekend on call. You can work remotely anywhere in the US.
For the first month, the hours will be 9am-5pm EST for training. Upon successful completion of training, it will transition to the on-call hours (3pm-11pm EST).
Responsibilities
Production Support & Monitoring
- Off-hours coverage: Serve as the primary on-call resource to monitor and maintain the health of our fulfillment operations platform and related integrations during scheduled off-hours
- Monitor the health of fulfillment systems, integrations, and operational workflows during scheduled on-call hours.
- Respond to production alerts and operational support requests with urgency.
- Identify, triage, troubleshoot, and resolve production issues using established runbooks.
Incident Investigation
- Investigate issues across application logs, databases, APIs, and code to determine root cause.
- Perform debugging and log analysis to quickly isolate failures.
- Document findings and resolutions to improve future incident response.
Escalation Management
- Independently resolve low-to-medium complexity incidents.
- Escalate high-severity issues to the Sr. Manager of Fulfillment Systems when appropriate, providing:
- issue summary
- impact assessment
- root cause (if known)
- troubleshooting performed
- recommended next steps
Engineering Support
- Develop and maintain small Python scripts and automation tools.
- Support low-risk enhancements and bug fixes within fulfillment applications.
- Perform routine system maintenance, cleanup, and technical debt work.
Continuous Improvement
- Improve operational runbooks and support documentation.
- Identify recurring operational issues and recommend long-term fixes.
- Partner with engineering teams to improve system reliability and monitoring.
Qualifications
- 2+ years of experience in software engineering or systems support (WMS/OMS etc)
- Experience supporting fulfillment, warehouse, & supply chain systems and processes
- Intermediate Python proficiency
- Intermediate SQL skills for investigation and data analysis
- Experience working with JSON APIs
- Experience troubleshooting production applications
- Ability to investigate issues using logs, databases, and application code
- Strong analytical and critical-thinking skills
- Excellent written and verbal English communication
- Experience using Jira, Confluence, or similar collaboration tools
Nice to Haves
- Experience with Docker
- Experience with monitoring and alerting platforms
- Familiarity with CI/CD pipelines
- Experience with AI-assisted development tools (Claude, Cursor, GitHub Copilot, etc.)
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Hungryroot
View Company ProfileHungryroot is an enterprise-grade, AI-driven grocery and meal-planning platform that fundamentally disrupts traditional food e-commerce through predictive personalization. Operating as a high-velocity logistics and curation engine, the company leverages advanced machine learning algorithms to autonomously construct customized weekly grocery carts based on individual dietary constraints, flavor preferences, and nutritional goals. Moving beyond the limitations of standard meal kits or static grocery delivery platforms, Hungryroot functions as a dynamic supply chain orchestrator, seamlessly integrating inventory from top-tier CPG brands and fresh produce suppliers directly to consumers. Under the hood, their proprietary recommendation engine drastically reduces decision fatigue and food waste while maximizing customer lifetime value (CLV) through highly sticky subscription loops. What sets Hungryroot apart is its highly scalable, data-first architecture, empowering the platform to predict consumer demand with extreme accuracy and deliver a frictionless, fully automated nutritional ecosystem.
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