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** - 2 - 6 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.