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Arctic Wolf in Bengaluru, India, seeks a Senior Staff Developer, Engineering – Endpoint, to lead the development of the Aurora Endpoint product line. You will guide a distributed team across Bangalore and North America, drive secure, scalable endpoint solutions, and champion AI-enhanced software engineering practices.
Based in Bengaluru, you’ll collaborate with global engineers, apply AI tools like GitHub Copilot and Claude, and emphasize quality, velocity, and architectural discipline while
Fortune Future 50, and Fortune Cyber 60 lists, and we recently took home 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 earning a Customers’ Choice distinction from Gartner Peer Insights. Our Aurora Platform also received CRN’s Products of the Year award in the inaugural Security Operations Platform category. Join a company that’s not only leading, but also shaping, the future of security operations.
Our mission is simple: End Cyber Risk.
We’re looking for a Senior Staff Developer, Engineering to be part of making this happen.
The Senior Staff Developer, Engineering – Endpoint leads the development and delivery of Arctic Wolf’s Aurora Endpoint product line , driving execution of high-quality, secure, and scalable endpoint solutions.
This role is responsible for a distributed engineering organization , including a well-established team based in Bangalore, India , delivering across multiple concurrent initiatives. The leader will ensure strong alignment with product strategy, consistent execution, and high-performing team dynamics across global teams.
A critical mandate of this role is to lead the adoption of AI-driven software engineering practices , enabling teams to leverage modern tooling to improve development velocity, code quality, and delivery outcomes.
Position Overview and Objective
This role provides deep technical leadership and ownership across multiple teams within a department, driving strategic technical direction, solving complex engineering challenges, and mentoring technical leaders. The individual is responsible for end-to-end delivery of large-scale projects, ensuring alignment with architectural standards and future scalability.
This position is based in Bangalore, India and requires close collaboration with engineering teams in North America (USA and Canada). Arctic Wolf places a strong emphasis on quality and efficiency; candidates must demonstrate consistent excellence in delivering high-quality outcomes. A strong understanding of applying AI tools (e.g., GitHub Copilot, Claude) across the software development lifecycle to improve efficiency and task completion is required.
Leverages AI tools such as GitHub Copilot and Claude to improve efficiency across coding, debugging, testing, and documentation tasks within the SDLC.
Applies AI-assisted workflows to increase productivity while maintaining strong standards of quality.
Experience training or enabling team members in the effective use of AI tools is desired.
Strong focus on Windows systems development, including a strong preference for kernel/driver level development experience.
Experience within cybersecurity environments, particularly Endpoint Detection and Response (EDR) and Managed Detection and Response (MDR), is highly desired.
Maintains a strong commitment to Arctic Wolf’s focus on quality, efficiency, and engineering excellence.
Provides deep technical ownership and technical leadership across multiple services and teams, typically focused in one area or R&D Department and associated teams. Has the ability to perform programming tasks and large engineering projects with Independence and expertise. Responsible for guiding and mentoring other staff members. Regularly lead technical projects. Sometimes help decide on a problem to focus on. Mastery over software development best practices. Develops reusable design patterns. Responsible for end-to-end delivery of projects.
Deep expertise in one or more technical domains supporting work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles. Requires conceptual thinking to understand advanced issues and implications. Exercises independent judgement in methods, techniques and evaluation criteria for obtaining results. Accountable for results, which may impact the entire function.