About SnapLogic
SnapLogic is the Agentic Integration Company, integrating AI, data, applications, and microservices into one powerful platform that transforms how enterprises connect, automate, and scale. Unlike legacy integration tools, SnapLogic is built for the AI era and trusted by global leaders, including AstraZeneca, Adobe, Verizon, Epsilon and Sony. With its industry-leading platform, SnapLogic empowers every team across the enterprise to securely build faster, smarter, AI-connected workflows – all through natural language and intuitive low-code design.
The Role:
We are seeking a highly motivated and dedicated Software Developer (Platform) to join our Engineering team. Your primary focus will be on maintaining and significantly enhancing the reliability, scalability, and performance of our core platform. Our system is critical, processing over 1 trillion documents monthly for more than 1,000 global enterprises. Your direct contributions will be crucial to ensuring platform robustness and a seamless experience for our users at this massive scale. This role involves hands-on system monitoring, deep-dive investigations into production issues, defect resolution, and implementing key optimizations to boost overall platform stability and high availability.
What You'll Do:
Proactively monitor and analyze platform performance, availability, and critical metrics using advanced observability tools to detect anomalies and prevent service incidents.
Rapidly diagnose and troubleshoot complex production issues, and conduct thorough root cause analysis.
Address and resolve bugs and system defects promptly.
Design and implement system optimizations and reliability enhancements to guarantee a scalable, stable, and highly performant platform.
Collaborate with engineers, DevOps, and product teams.
What We're Looking For:
Bachelor’s Degree in Computer Engineering or related fields
Proficiency in Python is required. Experience with Java is an advantage.
Strong troubleshooting skills with a sense of end-to-end ownership - from issue detection through resolution and implementation of preventative measures.
Understanding of fundamental system performance, scalability, and reliability engineering principles.
Eagerness and capacity to quickly learn and adopt new technologies.
Strong self-management skills and a high sense of responsibility.
Strong attention to detail
Experience with system monitoring, logging, and observability tools.
Experience with enterprise-grade production systems.
