TL;DR

SRE Software Engineer (Fintech): Designing, building, and improving internal tools and automation for production services with an accent on enhancing reliability, performance, and scalability. Focus on leading reliability-focused practices, incident response, and ensuring optimal system operations for critical fintech systems.

Location: Onsite in Tbilisi, Georgia

Company

%hirify_global% is an AI-powered platform for finance automation, empowering finance teams to scale faster and smarter by removing complexities of global business.

What you will do

Drive incident response and post-mortem processes, fostering a culture of continuous improvement.
Design, build, and improve internal tools and automation software to make maintaining production services easier and safer.
Lead reliability-focused practices such as SLO design, Failure Analysis, Load and Capacity Planning, and Service Reviews.
Participate in the on-call rotation, providing expertise and support during critical system incidents.

Requirements

Software Engineering experience with .NET, Typescript, or other object-oriented languages.
Knowledge of architecture and application design experience.
Solid troubleshooting and debugging skills.
Excellent verbal and written communication skills in English (C1+).

Nice to have

Experience working on large-scale, high-traffic platforms.
Distributed monitoring experience with OpenTelemetry and Prometheus.
Proficiency in additional scripting languages like bash, PowerShell, and Python.
Previous experience working as an SRE.
Experience with cloud environments (AWS, GCP, Azure).

Culture & Benefits

Collaborative culture focused on product quality and capabilities of its people.
Competitive benefits and a flexible workplace with career coaching.
Environment where diverse individuals can thrive and make an impact.
Globally distributed business with multiple offices including San Francisco, Tel Aviv, and London.

Hiring process

The recruitment process may use AI and automated systems for screening, assessment, and selection.
Candidates have the right to request human review of any automated decision.