About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Red Canary, a Zscaler company, monitors an enterprise’s environment to detect and respond to cybersecurity threats so they can focus on their mission. Our Managed Detection and Response (MDR) solution is a unique blend of human expertise and security, which protects organizations from modern adversaries as their teams work remotely, move to the cloud, and they adopt new cybersecurity and IT technologies. Role We are looking for a Principal AI and Data Architect to join our Red Canary team. This is a Remote role, reporting to the VP, Software Engineering. You will architect the large-scale data infrastructure and advanced AI/ML frameworks necessary to automate threat detection and enhance SOC efficiency. Ultimately, this leader will transform massive security telemetry into actionable intelligence using ML Models, LLMs, and AI agents to drastically reduce manual analyst workloads. What you’ll do (Role Expectations) - Lead the design and implementation of large-scale data architectures for cloud-based systems (AWS, Azure) to efficiently ingest, store, and process massive volumes of security telemetry and alerts - Spearhead advanced AI/ML initiatives, including Generative AI, to develop end-to-end AI solutions for SOC automation, threat detection, and threat hunting, leveraging frameworks like Scikit-learn, TensorFlow, and PyTorch - Drive the use of Large Language Models (LLMs) and AI Agents to enhance the enrichment of security data, enabling faster human decision-making, while exploring and evaluating various LLM architectures - Collaborate across teams to integrate ML-driven insights into the platform and apply automation and analytics to reduce analyst workload and enhance detection fidelity - Provide architectural guidance across engineering based on the fast-paced world of GenAI, Agents, and classic ML models, including those developed by our internal R&D teams Who You Are (Success Profile) - You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. - You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution. - You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact. - You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. - You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) - 12+ years of experience inclusive of data architecture and AI/ML, with a track record of designing and implementing large-scale data systems and production-grade ML solutions - Proficiency in Python (for data processing and ML pipelines), cloud platforms (AWS and/or Azure including data storage, compute services, and security controls), and MLOps best practices - Bachelor's degree in Computer Science or a related field or equivalent What Will Make You Stand Out (Preferred Qualifications) - Security domain knowledge including SOC operations, threat detection methodologies, log formats, common attack techniques, and understanding of how ML can enhance detection and response - Familiarity with modern data pipelines, streaming technologies, and AI Agent frameworks - Proficiency with infrastructure-as-code, containerization, and CI/CD for data and model deployments #LI-KM9 #LI-Remote Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $133,000—$235,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: - Various health plans - Time off plans for vacation and sick time - Parental leave options - Retirement options - Education reimbursement - In-office perks, and more! Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Overview: Corporate Tools is hiring a Senior Data Engineer for up to $150,000/year. You will be a traditional company employee. This is a remote position, but if you're near one of our local offices, you're welcome to come hangout with us in-office as well. Our main offices are in Post Falls, ID, and Spokane, WA; we also have satellite offices in Austin, TX, and Salt Lake City, UT. You'll be working 40 hours a week and, of course, enjoy great company benefits. As a Senior Data Engineer at Corporate Tools, you will work closely with our Software and Analyst teams to manage everything that has to do with data. This role will help get large datasets into the hands of people that need it while also making sure it doesn't adversely impact other things we have going on in our software ecosystem. There will be a heavy focus on infrastructure, data pipelines and scalable database design - we want someone who can help us improve our current databases and infrastructure and maintain it in a cost-effective manner. This is more than just building and maintaining ETL pipelines. We need innovation, creativity, and solutions that will have a significant impact on how our data is handled and created. Wage: $150,000/year Benefits: - 100% employer-paid medical, dental and vision for employees - Annual review with raise option - 22 days Paid Time Off accrued annually, and 4 holidays - After 3 years, PTO increases to 29 days. Employees transition to flexible time off after 5 years with the company-not accrued, not capped, take time off when you want - The 4 holidays are: New Year's Day, Fourth of July, Thanksgiving, and Christmas Day - Paid Parental Leave - Up to 6% company matching 401(k) with no vesting period - Quarterly allowance - Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself... really, whatever - Open concept office with friendly coworkers - Creative environment where you can make a difference - No dumb benefits like free dog walking on the weekends that snobby hipster places have to make you feel cool, but mathematically won't cost the company much money because you won't use it - Trail Mix Bar --- oh yeah Responsibilities: - Focus on data infrastructure. Lead and build out data services/platforms from scratch (using OpenSource tech). - Creating and maintaining transparent, bulletproof ETL (extract, transform, and load) pipelines that cleans, transforms, and aggregates unorganized and messy data into databases or data sources. - Consume data from roughly 40 different sources - Collaborate closely with our Data Analysts to get them the data they need. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. - Improve existing data models while implementing new business capabilities and integration points. - Creating proactive monitoring so we learn about data breakages or inconsistencies right away. - Maintaining internal documentation of how the data is housed and transformed. - Improve existing data models, and design new ones to meet the needs of data consumers across Corporate Tools. - Stay current with latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to fellow engineers, data analysts, and stakeholders. Requirements: - Bachelor's (BA or BS) in computer science, or related field. - 2+ years in a full stack development role - 4+ years of experience working in a data engineer role, or related position. - 2+ years of experience standing up and maintaining a Redshift warehouse - 4+ years of experience with Postgres, specifically with RDS. - 4+ years of AWS experience, specifically S3, Glue, IAM, EC2, DDB, and other related data solutions. - Experience working with Redshift, DBT, Snowflake, Apache Airflow, Azure Data Warehouse, or other industry standard big data or ETL related technologies. - Experience working with both analytical and transactional databases. - Advanced working SQL (Preferably PostgreSQL) knowledge and experience working with relational databases. - Experience with Grafana or other monitoring/charting systems. - Proven knowledge of data platforms and tangible examples of designing and developing complex data pipelines to support better decision making in the business. - Experience hosting and operating data platforms in cost efficient manner. - Ability to translate business requirements into non-technical, lay terms. - Proven expertise with data architecture design and deployment, data modeling, and database development.

• Coordinate delivery of Business Intelligence (BI) initiatives across BI/IT/bus teams. • Manage projects: intake, scoping, scheduling, RAID tracking, phase planning, lesson learned, process improvement outcomes, documentation, communications, etc. • Ensure alignment across technical stakeholders. • Communicate dependencies, risks, and timeliness clearly and consistently, following defined process and standards. Determining, developing & documenting standards where gaps exist. • Assist/drive scheduled and ad hoc audit activities for BI team. • Drive the collection, validation and submission of scheduled evidence accurately and on time for audit activities. • Maintain and improve SOPs, process documents, and control workflows. • Coordinate access reviews, governance approvals, and remediation activities. • Assist in maintaining documentation of environments, workspace structures, and data governance processes. • Write or validate SQL for data checks and/or analysis. • Assist with analytics QA, including dashboard validation, insight validation, dataset validation, and UX adjustments. • Ensure team standards alignment for documentation, naming, lineage, testing, and releases. • Help mature governance processes that support BI work. • Identify operational gaps and propose improvements.

• Own the Analytics Infrastructure: You are the end-to-end owner of our GCP-based data infrastructure — including ingestion, movement, storage, security, and availability. You build and operate reliable, scalable pipelines that power analytics, and partner closely with the Analytics team on downstream transformation and BI. • Maximize the GCP Ecosystem: Build cost-effective solutions anchored in GCP-native services. Know when to extend with third-party tooling or homegrown solutions, and make pragmatic tradeoffs. • Contribute Across Data Infrastructure: While analytics is the primary focus, you'll bring broad data pipeline expertise to application data needs in collaboration with the product engineering team. • Managed Services First: Favor managed solutions over self-hosting. Evaluate build vs. buy with cost and operational burden in mind. • Engineering Standards: This role reports to the Head of Data within the Engineering org. Expect PR reviews, automated testing, proper change management, and production-grade standards. • AI-First Development: Work extensively with AI coding assistants and contribute to evolving our AI development workflows and infrastructure. • Startup Pace: Priorities shift quickly. Balance long-term architectural thinking with the tactical execution the moment requires.