System Engineer

About Signzy:

Signzy is an AI-powered RPA platform designed for financial services. Our platform can automate even the most

complex workflows and decision-making processes into real-time APIs. Powered by Nebula, our no-code AI model

builder, and a Fintech API Marketplace with over 200+ APIs, Signzy serves 90+ financial institutions globally,

including the largest banks in India and a top 3 acquiring bank in the US. We have strong global partnerships,

including with Mastercard, and offices in New York and Dubai, serving customers worldwide. Our product team of

120+ people is based in Bangalore, building cutting-edge global AI products.

Working at Signzy

At Signzy, we embrace technology and innovation to develop outstanding products. We're a tech-savvy team

backed by investors passionate about creating innovative solutions. Join us and be part of the future of financial

services technology!

No of position : 3

Job Description:

As a System Engineer at Signzy, you will be the technical bridge between our engineering teams and our clients.

You will own the deployment and ongoing operation of Signzy's platform across client environments, act as a

hands-on technical point of contact, and keep production systems healthy and performant. This is a client-facing

role: you lead deployments, drive incident management and root cause analysis (RCA), and build the automation

that makes all of it repeatable and reliable — all while working directly with financial institutions where security

and compliance are non-negotiable.

Responsibilities

Own end-to-end deployment of Signzys platform across client environments (cloud, on-prem, and hybrid/VPC

setups), working directly with client infrastructure and security teams.

Serve as the primary technical point of contact for clients during onboarding, deployment, and steady-state

operations.

Lead incident management: triage, drive resolution, communicate status to clients, and produce clear,

thorough Root Cause Analysis (RCA) documents with preventive actions.

Build and maintain tooling for deployment, monitoring, and operations including CI/CD pipelines and

infrastructure automation.

Monitor system performance across environments and continuously optimize for reliability and cost.

Troubleshoot and resolve issues across development, test, and production environments.

Automate and streamline repetitive operational processes to reduce manual toil.

Maintain runbooks, deployment documentation, and operational playbooks; help uphold SLAs.

Work collaboratively with support and engineering teams to close the loop between field issues and product

fixes.

Requirements

2–3+ years of Linux administration experience in production environments.

Strong scripting ability in at least one of Bash, Python, or Perl.

Solid understanding of current network protocols, architecture, and design (TCP/UDP, DNS, load balancing, IP

whitelisting/blacklisting, SSL/TLS).

Strong hands-on experience with Kubernetes (kubectl, Helm) navigating clusters, inspecting

pods/deployments/services, and troubleshooting workloads.

Experience with containerization using Docker — running, configuring, and troubleshooting containers.

Experience with CI/CD pipelines, including GitOps-based delivery (e.g., ArgoCD, Flux) and infrastructure

automation.

Experience operating and configuring Nginx, and with observability tooling like Grafana and Prometheus.

Working knowledge of at least one major cloud provider (AWS or Azure — IAM, compute, storage, VPC/VNet).

Experience with NoSQL databases such as MongoDB is a plus.

Solid grasp of IT operations best practices, security, and incident management.

Soft Skills

Excellent verbal and written communication — able to explain technical issues clearly to both engineers and

non-technical client stakeholders.

Comfortable being client-facing and calm under pressure during live incidents.

Methodical, ownership-driven problem solver who can manage multiple priorities and see issues through to

RCA.

Additional

Bachelor degree in Computer Science, Information Technology, or a related field.

Experience supporting SaaS / fintech systems in regulated or financial environments is highly desirable.

Comfort with on-call rotations and production support responsibilities.

Startup experience is a plus.