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SRE-2

Signzy

Bengaluru, Karnataka, IndiaFull Time2–6 yrs

SRE-2 at Signzy is a full time role based in Bengaluru, Karnataka, India. The listing asks for 2–6 yrs of experience. It was published on 8 July 2026 and was open at last check.

SRE-2 at Signzy — key details
RoleSRE-2
CompanySignzy
LocationBengaluru, Karnataka, India
Employment typeFull Time
Experience asked2–6 yrs
Published8 July 2026
StatusOpen at last check

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.

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!

Role Overview

We are looking for a Site Reliability Engineer (SRE-2) to help design, operate, and improve reliable, scalable systems in cloud and Kubernetes environments. This role involves close collaboration with engineering and platform teams to automate operations, improve observability, and ensure production systems remain stable and performant as they scale.

You will work on infrastructure, deployment pipelines, and operational tooling while actively participating in incident response and long-term reliability improvements.

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

  • 3–5+ 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.
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Create your free OnJob profile to apply — we'll take you to Signzy's application after sign-up. · Posted 8 Jul 2026.

SRE-2 at Signzy — questions answered

What does the SRE-2 role at Signzy pay?

Signzy does not publish a salary on this SRE-2 listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.

Where is the SRE-2 role at Signzy based?

Signzy lists this SRE-2 role in Bengaluru, Karnataka, India, advertised as full time work at that location and asking for 2–6 yrs of experience. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Signzy before you apply.

How much experience do you need for the SRE-2 role at Signzy?

Signzy asks for 2–6 yrs of experience on this SRE-2 posting. Employers commonly consider candidates slightly under a stated band when the listed skills line up.

Is the SRE-2 role at Signzy still open?

The SRE-2 posting at Signzy was open at OnJob's last check of the employer's careers page, having been published on 8 July 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.

How do you apply for the SRE-2 role at Signzy?

Apply to the SRE-2 at Signzy role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to Signzy's own application page. Creating a profile is free and needs no card.

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