Developer

Arctic Wolf; Bengaluru; On-site; INR 8,000,000 - 12,000,000; Full time

Benefits offered by this job

Equity for all employees

Flexible annual leave

Comprehensive medical insurance

Fertility support

Employee Assistance Program

Job summary

Arctic Wolf is seeking a Data Engineer to join their team in Bengaluru, India. This role involves creating and optimizing data pipelines for cybersecurity products, collaborating with multiple teams to enhance data processing.

The ideal candidate will have over three years of experience in software QA, proficiency in Python and SQL, and a solid understanding of QA practices. Arctic Wolf offers competitive compensation, equity options, and comprehensive benefits to their employees.

Qualifications

• 3+ years of experience in software QA, ideally with cybersecurity background.
• Demonstrable knowledge of QA test frameworks and methodologies.
• Excellent written communication skills for quality plans.

Responsibilities

• Develop and execute automation for integrations in Python.
• Maintain test automation frameworks and coordinate strategies.
• Contribute to QA lifecycle for Data Platform systems.

Skills

Python

SQL

Agile/Scrum

Automation frameworks

CI/CD tools

Test frameworks

Job description

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!

Position Overview and Objective

Data is a critical part of Arctic Wolf Network’s mission to solve cyber risk, where we process and analyze trillions of events every week to look for malicious and risky behavior. These set of Data Pipelines form the critical backend of all our products and services. The Data Engineering team works on ingesting massive amounts of security data and logs, refining and enriching the data as it flows through the pipeline and service them at a high performance for all the products and stakeholders.

As a Data Engineer on this team you will be responsible to create data pipelines for our suite of cybersecurity products and services. They will partner with Product Managers, Security Researchers, ML teams and various other teams that are engaged in the data world in AWN. You will work with SQL, Spark, Databricks, Athena/, Iceberg/Trino to write and optimize ETL/ELT jobs to ingest raw data from a variety of sources, refine that data, and optimize/tune those datasets into production. You should be comfortable with relational- and non-relational databases like SQL and PostgreSQL, big data systems such as Spark, and cloud-deployments of software and ETL jobs in AWS.

Responsibilities

• Contribute to development of QA lifecycle for Data Platform systems.
• Implement and maintain test automation frameworks.
• Establish and coordinate testing strategies across the team.
• Design, develop, and execute automation systems (in Python) for Integrations.
• Ensure continuous integration flows are effective and maintained.
• Collaborate with rest of the team to integrate QA processes into the Agile development lifecycle.
• Stay updated with new testing tools and test strategies in use throughout Arctic Wolf and externally.
• Develop and implement comprehensive test plans and test cases as per requirements of various Integrations.

Experience and Requirements

• Demonstrable working knowledge of industry standard QA test frameworks, methods, and systems.
• Experience with QA methodologies, processes, and best practices.
• 3+ years of experience in software QA . Experience of cybersecurity will be a plus.
• Proven experience with CI/CD tools (e.g., Jenkins, GitLab) and configuration management systems (e.g., Git).
• Proficiency in Python and SQL.
• Experience with automation frameworks, XRAY test management.
• Excellent written communication skills with a love of authoring effective Quality template and Quality Plans.
• Ability to multi-task and manage multiple projects simultaneously.
• Experience working in an Agile/Scrum development environment.

Benefits

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

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.

Equal Opportunity Employer

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 as accessible 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 [e-mail]. View our Hiring Page to learn more about our application process.