Staff Developer
Arctic Wolf22 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead the architecture, design, and end-to-end delivery of complex data platform initiatives.
- Drive cross-team technical direction through architectural decisions, engineering practices, reusable frameworks, and design patterns.
- Own solutions from problem definition and design through implementation, testing, deployment, and operational support.
- Identify and resolve gaps, risks, technical debt, and missing requirements.
- Partner with Product and Engineering leadership to align platform investments with business objectives.
- Lead technical discussions and decision-making in ambiguous situations.
- Mentor engineers through design reviews, pairing, knowledge sharing, incident reviews, and post-mortems.
- Improve reliability, observability, testing, CI/CD, cloud infrastructure, and software quality.
Requirements
- Requires 8–13 years of experience working on backend or distributed systems.
- Requires strong experience designing and operating large-scale big-data systems.
- Requires software development experience in Python, Go, Java, or other object-oriented languages.
- Requires deep understanding of distributed systems, system design, and scalable data architectures.
- Requires strong SQL expertise, including complex queries, CTEs, window functions, query optimization, and performance troubleshooting.
- Requires experience with Elasticsearch and Elasticsearch DSL or similar query languages.
- Requires experience integrating RESTful APIs and building service-oriented systems.
- Requires experience with columnar or time-series databases such as Databricks, Elasticsearch, or ClickHouse.
- Requires experience with Amazon Web Services and cloud-native architectures.
- Requires strong understanding of Kubernetes and containerized environments.
- Requires understanding of automated testing, code reviews, observability, validation strategies, and software quality practices.
- Requires the ability to influence technical direction across multiple teams and a proven record of mentoring engineers.
- Preferred experience includes query execution and optimization internals, Delta Lake, Apache Iceberg, Databricks, Trino, Spark, Amazon SQS, and Kafka.
Benefits
- Equity for all employees.
- Flexible annual leave, paid holidays, and volunteer days.
- Comprehensive private benefits including medical insurance for employees and families, life insurance, and personal accident insurance.
- Fertility support, paid parental leave, and an Employee Assistance Program.
- Remote interview candidates are expected to be on camera during video interviews, with accommodations available for technical, bandwidth, location, or accessibility needs.
- Background checks are required, and employment may require authorization under U.S. export control laws.
Tech Stack
Categories
BackendData Engineering
About Arctic Wolf
Arctic Wolf provides security operations delivered as a service for organizations, using its cloud-native Aurora platform and a Concierge Security Team for 24x7 monitoring, detection, and response. Its subscription offerings include Managed Detection and Response (MDR), Managed Risk, Security Awareness, and Incident Response. The company is privately held, headquartered in Eden Prairie, Minnesota, and raised a Series E+ round in 2021.