CloudSec Client #1 | Backend Team Lead

Sd Solutions

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Pay not listed

  • Remote
  • Full-time
  • Warsaw, PL
  • Development
  • 14h ago

Job Description

On behalf of CloudSec Client #1, SD Solutions is looking for a talented Backend Team Lead.

SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.

In this role, you will combine hands-on technical leadership with people management, while tackling complex engineering challenges on a daily basis. The team is responsible for designing, building, and continuously improving scalable backend systems in a cloud-native environment.

You will work with all major cloud providers (AWS, GCP, Azure) and lead development using cutting-edge technologies such as Kubernetes, Kafka, ElasticSearch, Redis, Azure ADX, RabbitMQ, and more. This is a key leadership role with direct impact on architecture, delivery, and team growth.

Responsibilities:

  • Responsible for the entire lifecycle of the projects, from initial design and development to deployment, monitoring and maintenance in the production environment 
  • Contributing to technological and architectural decisions
  • Conducting design and code reviews
  • Analyzing and improving efficiency, scalability, and stability of various backend system components
  • Interfacing with other teams (e.g. Frontend, DevOps, Research, Product) to deliver best-in-class features

Requirements:

  • Bachelor of Science in Computer Science/Software Engineering or related field
  • 5+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Python, Go)
  • 3+ years of experience as a Team Lead
  • Experience with cloud platforms and products (e.g. AWS, GCP and Azure)
  • Experience implementing data-intensive systems (message queue technologies)
  • Experience with microservices-based architecture

Advantages:

  • Experience in the cybersecurity industry - advantage.

About the company:

A next-generation cloud security platform that leverages runtime context to identify and prioritize critical risks. Unlike conventional tools, it uses runtime data proactively for risk prioritization and posture insights, with eBPF-powered sensors. Capabilities include agentless cloud posture discovery, real-time threat protection, and integrated API security — providing end-to-end protection from misconfigurations to malware defense.

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