The Role
The role involves designing and enhancing integrations and tools for data observability, ensuring seamless connections between customer systems and the Logz.io platform. The engineer will own code quality, partner with teams to resolve issues, and contribute to open-source projects.
Summary Generated by Built In
We are looking for a Software Engineer to join our Connectivity team. You'll join a cross-functional group of engineers with a critical mission: ensuring our customers can seamlessly integrate their diverse technical environments with the Logz.io platform. You will be responsible for building and maintaining the essential tools and services that form the bridge between our customers' systems and our backend, enabling them to send us their event observability effortlessly.
Responsibilities
- Design, build, and enhance the core integrations and tools that our customers use to send observability data to the Logz.io platform.
- Partner closely with Product, Engineering, and other cross-functional teams to design and implement solutions built for massive scale, capable of processing over a billion events daily.
- Take full ownership of the quality and reliability of your code through comprehensive testing (unit, integration, and end-to-end), and by creating clear, thorough documentation for fellow engineers and our customers.
- Partner with customer-facing teams to diagnose and resolve complex technical issues rooted in our data ingestion integrations and libraries.
- Develop and maintain 300+ core integrations primarily in Python and Go that can run across cloud and containerized systems, and contribute directly to the open-source ecosystem.
You'll love this job if you:
- Thrive in a fast-paced startup environment, and value taking ownership of your work.
- Passionate about helping our business and customers resolve complex technical issues across our data-ingestion pipelines, integrations, and libraries.
- Care deeply about crafting elegant, user-friendly solutions for complex problems.
- Enjoy building the kind of developer tools you would want to use yourself.
- Believe in modern software development that values rapid iteration and continuous delivery.
- Passionate about the open-source community and excited about contributing to a fully open-source integrations.
- Love working with collaborative, thoughtful engineers who push to grow & improve themselves and others.
- Like using modern AI tools to boost your productivity and write better code.
Requirements:
- Computer Science / Software Engineering BA/BSc degree or equivalent course and practical experience.
- 2+ years of professional software development experience, with proficiency in Python or Go. Experience with other modern languages (e.g., Java, Node.js, C#, .NET) is also valuable.
- A proven ability to learn and adapt to new technologies quickly.
- Ability to multitask and handle context switches.
- Excellent analytical, troubleshooting, and problem-solving skills.
- Hands-on experience with AI-assisted development tools(Copilot, Cursor, Bedrock, Gemini, etc..)
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)Hands-on experience with containerization technologies (Docker, Kubernetes).
- Hands-on experience with infrastructure and CI/CD technologies (Terraform, GitHub actions, ArgoCD).
- A collaborative team player who is also a self-starter, capable of working autonomously and taking ownership of projects.
- Excellent communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences.
- Full professional proficiency in written and spoken English
- Advantages: Experience maintaining or contributing to open-source libraries.
Top Skills
.Net
Argocd
AWS
Azure
C#
Docker
GCP
Github Actions
Go
Java
Kubernetes
Node.js
Python
Terraform
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The Company
What We Do
Logz.io helps cloud-native businesses monitor and secure their environment with comprehensive open source tools. Our platform turns observability from a high-cost, low-value burden to a high-value, cost-efficient enabler of better business outcomes by combining and extending familiar, powerful and relevant Open Source capabilities across Logs, Metrics and Traces - complemented by security monitoring in the form of cloud-based SIEM.
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