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Arctic Wolf

24x7 cloud-native cybersecurity with concierge SOC

Staff Developer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaIn-person

About the Job

Requirements

  • Eight to thirteen years of experience working on backend or distributed systems.
  • Strong experience designing and operating large-scale systems in the big data space.
  • Ability to navigate ambiguity, exercise sound judgment, and independently drive technical initiatives to successful outcomes.
  • 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 complex queries, Common Table Expressions, window functions, query optimization, and performance troubleshooting.
  • Strong experience with search and analytics technologies, including Elasticsearch and Elasticsearch DSL or similar query languages.
  • Experience integrating with RESTful APIs and building service-oriented systems.
  • Experience with columnar and/or time-series databases, such as Databricks, Elasticsearch, or ClickHouse.
  • 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 for reliable, maintainable systems.
  • Ability to work across multiple teams and influence technical direction beyond a single codebase.
  • Track record of mentoring engineers and raising engineering standards.

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.
  • Own solutions end to end, from problem definition and design through implementation, testing, deployment, and operational support.
  • Independently identify gaps, risks, technical debt, and missing requirements; develop practical solutions and drive 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 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, continuous integration and delivery, and cloud infrastructure while maintaining a high bar for software quality.

Desired Qualifications

  • 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 Simple Queue Service, Kafka, or similar technologies.

About the Company

Arctic Wolf

24x7 cloud-native cybersecurity with concierge SOC

Arctic Wolf provides continuous cybersecurity protection tailored to each organization. It uses a cloud-native platform paired with a dedicated concierge team to deliver around-the-clock monitoring and security operations (SOC) on a subscription basis. The platform integrates security functions to avoid tool sprawl and alert fatigue, while the concierge team works with clients to meet their specific needs. Clients pay for ongoing protection with 24x7 coverage, and Arctic Wolf offers tools like a Total Cost of Ownership Calculator to illustrate savings and ROI. This approach differentiates Arctic Wolf from competitors by combining a unified, cloud-based platform with a personalized delivery model that embeds security experts with each client. The goal is to improve clients’ security posture, reduce unnecessary security tool investments, and lower total costs while providing reliable, continuous monitoring.

Company size
1,001-5,000
Company stage
N/A
Total funding
$899.2M
Headquarters
Eden Prairie, MN
Founded
2012

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