Site Reliability Engineer

Location: Bengaluru

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 Master Card 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 and Dubai

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 Git Hub Actions, Git Lab CI, Jenkins, Azure Dev Ops, or similar.

- Familiarity with Git Ops 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 No

SQL 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.