Site Reliability Engineer

Job description

About Signzy Signzy is an AI-powered RPA platform for financial services. No matter how complex your workflow or operational complexity, Signzy can completely automate your back-operations decision-making process into a real-time API. This is possible due to a combination of Nebula - Our no-code AI model builder and our Fintech API Marketplace of over 200+ APIs. Today we work with over 90+ FIs globally including the 4 largest banks in India and a Top 3 acquiring Bank in the US. Globally we have a strong partnership with MasterCard and offices in New York and Dubai to serve our customers in the 2 geographies. Our Product team of 120+ people is building a global AI product out of Bangalore. Job Location: Bangalore Working at Signzy At Signzy we breathe software and exploit the latest technologies to create the most amazing products. We comprise a tech-savvy team and are backed by investors who are enthusiastic about creating solutions using technology.This is an invitation to be a part of the future! Responsibilities • Design, deploy, and operate reliable and scalable systems across cloud and Kubernetes environments. • Automate infrastructure provisioning, deployments, and operational workflows. • Build and maintain tools for deployment, monitoring, and system operations. • Monitor system health and performance, and proactively identify areas for improvement. • Troubleshoot and resolve issues across development, test, and production environments. • Participate in incident response, root cause analysis, and reliability improvements. • Collaborate with engineering teams to improve system operability and deployment safety. • Support and operate large-scale systems, including data-intensive or AI-driven workloads. Requirements • 1- 3 years of experience managing and operating production infrastructure and services in cloud environments such as AWS, Azure, or GCP. • Strong hands-on experience with Linux systems in production environments. • Experience working with containerized workloads and Kubernetes in real-world scenarios. • Working knowledge of Infrastructure as Code tools such as Terraform, Terragrunt, or Crossplane . • Experience designing and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar . • Familiarity with GitOps principles and tools such as Argo CD or Flux . • Solid understanding of cloud networking concepts , load balancing, and service connectivity. • Experience with monitoring, logging, and alerting systems such as Prometheus, Grafana, ELK/EFK, Datadog, or equivalent . • Proficiency in at least one scripting or programming language (e.g., Bash, Python). • Experience working with relational databases ; exposure to NoSQL or data platforms is a plus. • Experience participating in on-call rotations , responding to production incidents, and performing root cause analysis. • Understanding of SLIs, SLOs, and error budgets , and how they are used to guide reliability and operational decisions. • Strong problem-solving skills and the ability to debug complex production issues. • Good verbal and written communication skills, especially during incidents and technical discussions. Nice to Have • Experience operating systems at scale or in high-availability environments. • Exposure to on-prem or hybrid infrastructure. • Experience supporting data platforms, analytics, or AI/ML workloads. What We Value • A strong sense of ownership and responsibility for production systems. • A focus on automation, reliability, and operational simplicity . • The ability to balance speed, stability, and long-term maintainability. • Curiosity and willingness to continuously improve systems and processes.