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Arctic Wolf

Posted 27 Aug 2026

Staff Developer (Python)

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Employment
Full time
Team
Software Engineering
Posted
27 Aug 2026

About the role

Responsibilities:

  • Architect, develop, and maintain scalable, high-performance backend services.
  • Design, implement, and use RESTful APIs, GraphQL endpoints, and microservices to support backend applications and Integration systems.
  • Optimise system performance, security, and reliability for large-scale cloud applications.
  • Collaborate with other developers, security teams, and DevOps engineers to drive backend innovation.
  • Work with databases to ensure efficient data storage and retrieval.
  • Implement authentication, authorisation, and security best practices.
  • Guide and mentor junior developers, fostering a culture of growth and collaboration.
  • Continuously improve development processes and promote backend best practices.
  • Drive integration of LLMs and autonomous agents into the existing systems to enhance accuracy and decrease component delivery time.
  • Lead technical initiatives across multiple teams without direct authority, influencing through expertise and collaboration.
  • Interact with Product Managers to ensure seamless delivery of components to production.


Requirements:

  • 9+ years of experience in backend development, with exposure to full-stack development.
  • Expertise in any of the programming languages, such as Python(preferred) or Go.
  • Strong knowledge of RESTful APIs and micro-services architecture.
  • Experience with databases (such as PostgreSQL, MYSQL).
  • Proficiency in asynchronous programming, multithreading, and performance optimisation from a Platform stand point.
  • Familiarity with message queues (such as Kafka, RabbitMQ, or SQS).
  • Strong understanding of security best practices, authentication, and authorisation mechanisms.
  • Proficiency in AWS services such as Lambda, API Gateway, S3 DynamoDB, and ECS.
  • Good Understanding of AI native tools (such as lang chain, lang fuse) and experience in development lifecycle with AI-DLC.
  • Experience with containerisation (Docker, Kubernetes/ECS) and cloud-native architectures.
  • Experience working with AWS, Azure, or GCP.
  • Familiarity with CI/CD pipelines, DevOps practices, and Infrastructure as Code (Terraform, CloudFormation).
  • Familiarity with cybersecurity products like XDR, MDR, and SOC.
  • Familiarity with cybersecurity frameworks like NIST and MITRE.
  • Strong experience with Git for version control.
  • Interest in cybersecurity and security operations.

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