We are looking for a talented highly-motivated experienced SW engineer to join one of its growing inspiring development teams.
You will work on multi-tenant, high-scale, distributed SaaS echo system on top of k8s platform which is used for managing the cloud security services infrastructure, customers' self-service configuration, monitoring and reporting, analytics and more.
As a SW engineer, you will manage and work with the different Engineering teams and architects in order to design, develop, monitor, scale and optimize the large-scale architecture of a winning SaaS security service.
What will you do?
Implement our implementation of next generation back-end infrastructure to help us scale our SaaS based infrastructure.
Be part of a team building tools to make our infrastructure scalable, and robust.
Leverage Generative AI tools for code generation, optimization, debugging, documentation, and prototyping.
Continuously research and integrate new AI-driven developer productivity tools.
Design and develop an always-available Cloud-based SaaS platform in AWS
Lead and Design the development of robust CI/CD pipelines for Kubernetes running Containerized applications
Design and build strong Application and System monitoring and automated self-healing procedures.
Maintain and support application deployments, building new systems and upgrading existing.
Working closely with all the Engineering and DevOps teams, taking full responsibility and ownership from conception to post-deployment in a collaborative, fast-paced environment.
Requirements: 6+ years of experience in infrastructure and Backend SW development roles.
Experience managing infrastructure on AWS.
Experience with architecture methodologies and paradigms like micro-services, distributed systems and more.
Experience integrating and actively using GenAI tools (e.g., GitHub Copilot, Claude, ChatGPT etc) in daily development must.
Open-minded to new workflows and AI-driven innovation.
An agile/DevOps way of thinking.
Experience with CI/CD tools (Jenkins, argot, Nexus and similar).
Experience with the K8S platform and tools (Helm charts and similar).
Experience with the following technologies/tools/fields: Elasticsearch , Clickhouse, Messaging (Kafka,NATS,, Redis etc), Monitoring and Visibility (Prometheus, Grafana, loki, etc).
Programming languages Golang/ Java.
Functioning well under pressure.
Strong problem-solving ability and a "Can-do approach".
Working in an agile environment.
Excellent communication and interpersonal skills.
This position is open to all candidates.