Asks for

The ad says“Experience with Amazon Web Services and cloud-native architectures.”
The ad says“Strong understanding of software quality practices, including automated testing, code reviews, observability, validation strategies, and other mechanisms used to ensure reliable, maintainable systems.”
The ad says“8-13 years of experience working on backend or distributed systems.”
The ad says“Experience with columnar and/or time-series databases (e.g. Databricks, Elasticsearch, ClickHouse, etc).”
The ad says“Strong understanding of software quality practices, including automated testing, code reviews, observability, validation strategies, and other mechanisms used to ensure reliable, maintainable systems.”
The ad says“Experience with columnar and/or time-series databases (e.g. Databricks, Elasticsearch, ClickHouse, etc).”
The ad says“Experience with columnar and/or time-series databases (e.g. Databricks, Elasticsearch, ClickHouse, etc).”
The ad says“8-13 years of experience working on backend or distributed systems.”
The ad says“Strong experience with search and analytics technologies, including Elasticsearch and Elasticsearch DSL or similar query languages.”
The ad says“Strong experience with search and analytics technologies, including Elasticsearch and Elasticsearch DSL or similar query languages.”
The ad says“Relevant experience developing software in Python, Go, Java, or other object-oriented languages.”
The ad says“Relevant experience developing software in Python, Go, Java, or other object-oriented languages.”
The ad says“Strong understanding of Kubernetes and containerized environments.”
The ad says“Relevant experience developing software in Python, Go, Java, or other object-oriented languages.”
The ad says“Strong understanding of software quality practices, including automated testing, code reviews, observability, validation strategies, and other mechanisms used to ensure reliable, maintainable systems.”
The ad says“Relevant experience developing software in Python, Go, Java, or other object-oriented languages.”
The ad says“Comprehensive experience integrating with RESTful APIs and building service-oriented systems.”
The ad says“Strong SQL expertise, including experience with complex queries, Common Table Expressions (CTEs), window functions, query optimization, and performance troubleshooting.”
The ad says“Experience with columnar and/or time-series databases (e.g. Databricks, Elasticsearch, ClickHouse, etc).”
The ad says“Strong understanding of software quality practices, including automated testing, code reviews, observability, validation strategies, and other mechanisms used to ensure reliable, maintainable systems.”

At Arctic Wolf, you won’t just watch the cybersecurity industry evolve – you'll help lead the change. Our global Pack is made up of people who thrive on solving hard problems, moving fast, and building technology that protects organizations around the world. We’re proud to be recognized by Forbes, CNBC, Fortune, CRN, Gartner Peer Insights and IDC MarketScape – but what matters most is the work behind it: delivering real outcomes for customers through award winning innovation like our Aurora Platform.

If you’re looking for meaningful work, smart teammates and the chance to make a real impact in a high-growth company that’s redefining security operations, Arctic Wolf is the right place for you!

Our mission is simple: End Cyber Risk. We’re looking for a Staff Developer to be part of making this happen.

Position Overview and Objective

As a Staff Developer for Arctic Wolf’s Data Platform, you will work on shaping and evolving the systems that enable large-scale storage and rapid searching of cybersecurity data. This telemetry data is collected from customers by leveraging endpoint, network, and cloud data sources both inside and outside our customers’ networks. Our team designs, builds, and manages large-scale distributed systems that empower both customers and internal teams to better understand and improve security posture.

You will operate at the intersection of big data, distributed computing, and cloud technologies. Our existing stacks include both custom-built and open source components written in Python, Go, or Java, deployed within Amazon Web Services. We leverage Kubernetes and other containerized platforms. Major components include Kafka, Elasticsearch, Databricks, and Spark, along with additional custom application services developed in-house.

In this role, you will provide technical leadership across initiatives, influence architectural direction, and ensure our platform scales reliably and sustainably as the business grows. You will be expected to navigate ambiguity, take end-to-end ownership of solutions, proactively identify gaps and risks, and drive outcomes across multiple teams with a high degree of independence.

Responsibilities

Lead the architecture, design, and end-to-end delivery of complex, high-impact data platform initiatives, ensuring scalability, reliability, and long-term sustainability.
Drive cross-team technical direction by influencing architectural decisions, establishing engineering best practices, and developing reusable frameworks and design patterns.
Take end-to-end ownership of solutions, from problem definition and design through implementation, testing, deployment, and operational support.
Identify gaps, risks, technical debt, and missing requirements independently, developing practical solutions and driving them to completion.
Partner with Product and Engineering leadership to align platform investments with business objectives and long-term strategic goals.
Lead technical discussions and decision-making in ambiguous situations, engaging the appropriate stakeholders to gather context, build alignment, and drive outcomes.
Mentor and elevate engineers across teams through design reviews, pairing, knowledge sharing, and leadership in incident reviews and post-mortems.
Improve operational excellence across reliability, observability, testing, CI/CD, and cloud infrastructure while maintaining a high bar for software quality.

Experience & Requirements

8-13 years of experience working on backend or distributed systems.
Strong experience designing and operating large-scale systems in the big data space.
Demonstrated ability to navigate ambiguity, exercise sound judgment, and independently drive technical initiatives to successful outcomes.
Relevant experience developing software in Python, Go, Java, or other object-oriented languages.
Deep understanding of distributed systems, system design, and scalable data architectures.
Strong SQL expertise, including experience with complex queries, Common Table Expressions (CTEs), window functions, query optimization, and performance troubleshooting.
Strong experience with search and analytics technologies, including Elasticsearch and Elasticsearch DSL or similar query languages.
Comprehensive experience integrating with RESTful APIs and building service-oriented systems.
Experience with columnar and/or time-series databases (e.g. Databricks, Elasticsearch, ClickHouse, etc).
Experience with Amazon Web Services and cloud-native architectures.
Strong understanding of Kubernetes and containerized environments.
Strong understanding of software quality practices, including automated testing, code reviews, observability, validation strategies, and other mechanisms used to ensure reliable, maintainable systems.
Ability to work cohesively across multiple teams and influence technical direction beyond a single codebase.
Proven track record of mentoring engineers and raising engineering standards.

Nice-to-have experience:

Understanding of query execution and optimization internals, including query planning, pruning, optimization techniques, execution strategies, and internal query representations.
Experience with modern data lake and analytics technologies such as Delta Lake, Apache Iceberg, Databricks, Trino, Spark, or similar large-scale data processing and query platforms.
Experience with message queue systems such as Amazon SQS, Kafka, or similar technologies.

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.

About Arctic Wolf

At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-2025), Best Places to Work – USA (2021-2025), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024-2026), and Kununu Top Company – Germany (2024-2026). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 10,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry.

Our Values

Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good.

We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here.

We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.

All India wolves receive compelling compensation and benefits packages, including:

• Equity for all employees

• Flexible annual leave, paid holidays and volunteer days

• Comprehensive private benefits plan including medical insurance for you and your family, life insurance (3x compensation), and personal accident insurance.

• Fertility support and paid parental leave

• Employee Assistance Program

Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire experience asaccessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodation by emailing recruiting@arcticwolf.com. View our Hiring Page to learn more about our application process.

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 U.S. export control laws and regulations.