Sr. Backend Engineer II, AutoScaling & Balancing, NG-SIEM (Hybrid)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed — we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

Our mission is to make all of our customers' security-relevant data continuously available for automated detection and response, threat hunting, and other Falcon use cases. To enable this, the systems behind NG-SIEM are growing to accommodate >100 PB of event and action data ingested every day, up to 10 years of retention, and dozens of millions of queries per hour across large sections of the data stored.

Ideal candidate for this Senior Engineer II has deep expertise in large-scale distributed/control systems (intelligent placement, auto balancing, autoscaling) and the ability to go deep into the underlying data platform (LogScale) — ingestion, storage, and query internals — to connect scaling decisions to real system behavior in a large multi-tenant environment. We run a multi-tenant platform where many customers share a common pool of infrastructure. The core challenge is a two-sided optimization: deliver the best performance for every customer while achieving the best overall resource utilization (minimal wasted capacity, maximum density).

This role is hybrid, on-site at one of the posted locations: Sunnyvale, CA; Redmond, WA; New York City; or Austin, TX with a strong preference to candidates in Austin, TX.

What You'll Do:

Intelligent Customer Placement — Decide which part of the fleet each customer lands on, bin packing tenants efficiently while reserving enough headroom so everyone gets the capacity they're entitled to.

Auto balancing — Continuously rebalance customers across shared infrastructure as load shifts, protecting each customer's performance while keeping the fleet healthy.

Autoscaling — Automatically add or remove capacity as demand changes, so the fleet grows and shrinks with real usage instead of being manually provisioned.

Data-Driven Decisions — Use real-time per-tenant usage (e.g., memory, storage, throughput, query cost) to drive placement and balancing.

End-to-End System Depth — Go deep into the underlying data platform (how data is ingested, stored, cached, and queried) to understand why a placement or scaling decision helps or hurts, and feed that back into the models.

Operational Rigor — Operate what you build, and treat customer-impacting incidents with the same rigor as feature work; reliability and static stability are forcing functions for design, not a phase bolted on after launch.

Feature Delivery — Deliver key parts of our systems as an individual contributor while leading the team to solve ambiguous problems, and move the scalability of our LogScale engine to the next level.

Technical Strategy & Alignment — Engage with other technical leads and principal engineers to keep our technical strategy coherent across the LogScale platform and move our product mission forward.

Communication — As a remote-first company, bring excellent verbal and written communication skills when working with teams across the globe.

What You'll Need

Must be a U.S. Citizen or US Permanent Resident. 12+ years of experience designing, implementing, and maintaining multiple software products/systems/releases, preferably in a SaaS delivery model, across all phases of the development lifecycle, and across multiple software stacks; 4+ years of experience as an engineer in a force-multiplying position (delivery through others);

Current hands-on experience as an engineer (3+ years) owning a distributed system that handled tens of billions of requests per day or more than 1 PB of data per day;

History of significant and continued impact on customer experience and business results;

Demonstrated track record of operational excellence when operating services that span many components across several geographical regions;

Experience working with and growing strong engineers within remote teams across geographies and cultures;

Ability to communicate and articulate crisply

Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes

Bonus Points

Hands on development experience in Golang and Scala.

Solid grounding in the technology of at least one cloud environment (AWS, Azure, GCP).

Expertise with Kafka.

Exposure to or experience with Log Management or cybersecurity products.

Machine learning and data science familiarity and hands-on experience. LI-SS1LI-MW1This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements.

Benefits of Working at CrowdStrike:

Market leader in compensation and equity awards

Comprehensive physical and mental wellness programs

Competitive vacation and holidays for recharge

Paid parental and adoption leaves

Professional development opportunities for all employees regardless of level or role

Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections

Vibrant office culture with world class amenities

Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

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CrowdStrike participates in the E-Verify program. CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $160,000 - $250,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.

For detailed information about the U.S. benefits package, please click here .