Senior Developer - AI Integrations

Posted 14 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka
In-Office
Senior level
Security • Software • Cybersecurity
The Role
Develop and maintain backend automation systems for cybersecurity, focusing on AI-based integrations. Collaborate with cross-functional teams to enhance security operations and mentor junior developers.
Summary Generated by Built In
At Arctic Wolf, we're redefining the cybersecurity landscape. With our employee Pack members spread across the globe, we’re committed to setting new industry standards. Our accomplishments speak for themselves — from recognition in the Forbes Cloud 100, CNBC Disruptor 50, Fortune Future 50, and Fortune Cyber 60, to winning the 2024 CRN Products of the Year award. We’re proud to be named a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and to have earned a Customers' Choice distinction from Gartner Peer Insights. Join a company that’s not only leading, but also shaping the future of security operations and customer engagement.

Our mission is simple: End Cyber Risk.

About the Role

We are building a next-generation integration authoring platform to scale ingestion development for a rapidly growing customer base. As integration demand continues to increase, developing new integrations today requires significant end-to-end effort. This role is part of a strategic initiative to reduce integration development time through declarative, schema-driven authoring for REST-based ingestions. The long-term vision is to enable customers to self-author ingestions for bespoke or unsupported integrations, with system design guided by future LLM-driven automation.

We’re looking for a Senior Software Developer – AI Integrations who will work on Python-based backend systems, design declarative schemas, and help lay the foundation for LLM-assisted integration generation.

About the Role
  • Develop, test, and deploy backend automation systems that enhance SOC workflows using cloud-native, data-intensive, and AI-driven architectures.

  • Design, develop, and maintain backend services and microservices using Python, Go, and scalable cloud-native patterns.

  • Build secure, high-availability systems leveraging AWS services including RDS, DynamoDB, Lambda, and Kubernetes/EKS.

  • Build and maintain detection pipelines, incident response playbooks, enrichment services, and agentic automation systems.

  • Integrate software components into robust, production-ready systems with strong observability, documentation, and maintainability.

  • Collaborate closely with threat detection, incident response, data science, and platform engineering teams to deliver secure, reliable, and context-aware automation capabilities.

  • Apply test-driven development and CI/CD practices using Git, Jenkins, Terraform, Docker, and infrastructure-as-code workflows.

  • Contribute to architectural discussions on integrating LLMs, reasoning agents, and autonomous task execution frameworks into SOC tooling.

  • Solve complex problems creatively using advanced analytical and debugging techniques across distributed systems.

  • Explore and prototype innovative uses of AI in detection, triage, automation, and response workflows.

  • Mentor junior developers and contribute to team growth through knowledge sharing and technical leadership.

About You
  • 5+ years of experience in backend software development, infrastructure engineering, or security-focused systems.

  • Strong understanding of automation design patterns, distributed systems, and cloud-native application design.

  • Experience building large-scale, production-grade backend systems using Python, Go, or similar languages.

  • Familiarity with AWS (preferred), GCP, or Azure, along with strong knowledge of CI/CD pipelines and DevOps tooling.

  • Hands-on experience with Kubernetes, Docker, Terraform, and microservices architectures.

  • Experience integrating or building systems with AI/ML components and automation in production environments.

  • Strong understanding of data pipelines, streaming systems, or detection workflows.

  • Proven ability to work independently on large features and contribute to architectural decisions.

  • Strong problem-solving mindset with the ability to translate SOC and security goals into scalable technical solutions.

  • Passion for working in fast-moving, mission-driven environments where security, AI, and engineering excellence meet.

Why Arctic Wolf

At Arctic Wolf, success comes from delighting our customers. We work together to ensure that happens every day. We believe in diversity and inclusion, and we value the unique perspectives every employee brings. By protecting people’s and organizations’ sensitive data — and now enhancing how they interact with AI securely — we’re advancing a mission that serves the greater good.

We celebrate unique perspectives through our Pack Unity program, encourage alliances across teams, and believe in giving back through our Pledge 1% Movement — dedicating our time, equity, and product for community impact.

What We Offer

  • Equity for all employees

  • Flexible annual leave, paid holidays, and volunteer days

  • Training and career development programs

  • Comprehensive private benefits plan, including medical coverage for you and your family

  • Life insurance (3x compensation) and personal accident insurance

  • Fertility support and paid parental leave

On-Camera Policy
To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews.
Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers.
We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations.

Security Requirements

Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity, and availability of AWN business information (in accordance with our employee handbook and corporate policies).
Background checks are required for this position.
This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”). Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these laws and regulations

Top Skills

AWS
Docker
DynamoDB
Eks
Git
Go
Jenkins
Kubernetes
Lambda
Python
Rds
Terraform
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The Company
HQ: Eden Prairie, MN
810 Employees
Year Founded: 2012

What We Do

The cybersecurity industry has an effectiveness problem. Every year new technologies, vendors, and solutions emerge, and yet despite this constant innovation we continue to see high profile breaches in the headlines. All organizations know they need better security, but the dizzying array of options leave resource-constrained IT and security leaders wondering how to proceed. At Arctic Wolf, our mission is to End Cyber Risk through effective security operations. To achieve this, we believe that organizations must do three key things:

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