Staff Developer(Python)

Overview

Staff Developer (Python) to take a leadership role in designing and building scalable, secure, and high-performance backend services that power Arctic Wolf's cybersecurity solutions, mentoring junior developers and driving architectural decisions.

What you'll do

• Architect, develop and maintain scalable, high-performance backend services.
• Design and implement and make use of RESTful APIs, GraphQL endpoints, and micro-services 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.

What you'll need

• 9+ years of experience in backend development, with exposure to full-stack development.
• Expertise in any of the programming languages such as Python 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 standpoint.
• 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.

Nice to have

• Python is preferred over Go.
• 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, SOC.
• Familiarity with cybersecurity frameworks like NIST, MITRE.
• Strong experience with Git for version control.
• Interest in cybersecurity and security operations.

Details

• Location: Bengaluru, India.
• Candidates interviewing remotely are expected to be on camera during all video interviews, unless advance notice is given for technical, bandwidth, or location-related challenges.
• Background checks are required for this position.
• May require access to information protected under U.S. export control laws and regulations (EAR); an offer is conditioned on authorization where applicable.