Pay
In line with similar jobs
$160K–$250K against $154K–$225K, the middle half of what similar US postings state.
From 3,086 postings in the last year. Stated ranges, not salaries paid.
USA - Austin, TX
Open 3 months, first seen by us 90 days agoRight to Work 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.Read the full posting
In addition, you will continue to build out & scale teams capable of supporting the myriads of services running within the our data infrastructure. You will work closely with engineers and product to understand requirements and cross functionally with peers and senior leadership to deliver innovative products that can scale with increased demand. CrowdStrike is a remote-first organization and this position requires the ability to hold meetings with team members across US and EU time zones. This is a Hybrid role requiring an 2 days per week in one of our office Locations (Austin, TX or Mid-town Manhattan, NY) What You'll Do:Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Right to Work
CrowdStrike is seeking a Sr Engineering Manager (L8) to lead a host of initiatives spanning 2-3 teams with coverage in MLOps & broader data infrastructure, as well as data analytics platform & data recovery initiatives.
Your teams would own data plane infrastructure that runs a multitude of Spark-, Flink- and other apache-based applications at incredibly high scale (over 3 Trillion events/day) both in our cloud environments as well as data centers.
Lead multiple teams designing, scaling and maintaining data infrastructure services at 100s of PBs scale
Own setup, deployment, scaling and management of data plane products for event stream processing
Train, mentor and hire top-tier data platform engineering talent
CrowdStrike is seeking a Sr Engineering Manager (L8) to lead a host of initiatives spanning 2-3 teams with coverage in MLOps & broader data infrastructure, as well as data analytics platform & data recovery initiatives.
Your teams would own data plane infrastructure that runs a multitude of Spark-, Flink- and other apache-based applications at incredibly high scale (over 3 Trillion events/day) both in our cloud environments as well as data centers. You own the setup, deployment, scaling and management of all data plane products that are used to ingest, process and enrich event stream data that are part of the Falcon platform.
Lead multiple teams in the design, scaling and maintenance of data infrastructure services operating at 100s of PBs scale
You own the setup, deployment, scaling and management of all data plane products that are used to ingest, process and enrich event stream data
Train, mentor and continue to hire top-tier data platform engineering talent
10+ years of software engineering experience in building and/or managing large scale data platforms
Experience with hybrid cloud environments (cloud and data center)
5+ years of hands-on management experience leading distributed engineering teams
Experience with remote work, particularly managing distributed teams across multiple timezones
Experience building and supporting real time or NRT data systems of ultra high scale (MINIMUM: 100s of TB/day in either a current or past role)
Strong familiarity with (and ample hands-on experience tuning & optimizing) at least one applicable technology in the Apache Hadoop ecosystem: Spark, Kafka, Hive/Iceberg/Delta Lake, Presto/Trino, Pinot, Druid, etc.
Open 3 monthsWe first saw this posting 90 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$160K–$250K against $154K–$225K, the middle half of what similar US postings state.
From 3,086 postings in the last year. Stated ranges, not salaries paid.
Day 90
Up longer than most. Similar jobs usually come down between day 7 and day 55.
Well past CrowdStrike’s usual: its jobs come down by about day 42.
From 8,542 similar postings that came down, and 72 of CrowdStrike’s. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Strong familiarity with (and ample hands-on experience tuning & optimizing) at least one applicable technology in the Apache Hadoop ecosystem: Spark, Kafka, Hive/Iceberg/Delta Lake, Presto/Trino, Pinot, Druid, etc. - Ample experience coding in Java, Scala, Kotlin or another JVM language (bonus points for experience tuning the language, i.e. garbage collection, memory management…) - Production experience with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra/DynamoDB, etc.
- Significant expertise in performance-tuning or developing internals (source code) within Spark, Flink, Iceberg or Pinot or an equivalent structured streaming, Time Series, OLAP or Open Table real time system. - Production experience building either Spark- or Flink-based self-service data platforms, or equivalent (i.e. with Ray, or building spark- or Flink-like frameworks themselves in Scala, Akk, etc.) - Strong familiarity with (and ample hands-on experience tuning & optimizing) at least one applicable technology in the Apache Hadoop ecosystem: Spark, Kafka, Hive/Iceberg/Delta Lake, Presto/Trino, Pinot, Druid, etc.
- Ample experience coding in Java, Scala, Kotlin or another JVM language (bonus points for experience tuning the language, i.e. garbage collection, memory management…) - Production experience with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra/DynamoDB, etc. - Intimate knowledge of deployment tools like Terraform and configuration automation tools like Chef/Puppet/Ansible
- Production experience building either Spark- or Flink-based self-service data platforms, or equivalent (i.e. with Ray, or building spark- or Flink-like frameworks themselves in Scala, Akk, etc.) - Strong familiarity with (and ample hands-on experience tuning & optimizing) at least one applicable technology in the Apache Hadoop ecosystem: Spark, Kafka, Hive/Iceberg/Delta Lake, Presto/Trino, Pinot, Druid, etc. - Ample experience coding in Java, Scala, Kotlin or another JVM language (bonus points for experience tuning the language, i.e. garbage collection, memory management…)
- Demonstrated track record of leadership and building a strong core engineering team - Building and managing cloud and on-premise Hadoop and Spark infrastructure which could run on bare metal or Kubernetes clusters - Strong cross-team collaboration and interpersonal skills working with various roles including engineering, product management, support and sales engineering
- Experience with hybrid cloud environments (cloud and data center) - Exposure to container orchestration technologies, like Kubernetes - Experience with remote work, particularly managing distributed teams across multiple timezones
- Production experience with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra/DynamoDB, etc. - Intimate knowledge of deployment tools like Terraform and configuration automation tools like Chef/Puppet/Ansible - Demonstrated track record of leadership and building a strong core engineering team
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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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:
CrowdStrike is seeking a Sr Engineering Manager (L8) to lead a host of initiatives spanning 2-3 teams with coverage in MLOps & broader data infrastructure, as well as data analytics platform & data recovery initiatives.
Your teams would own data plane infrastructure that runs a multitude of Spark-, Flink- and other apache-based applications at incredibly high scale (over 3 Trillion events/day) both in our cloud environments as well as data centers. You own the setup, deployment, scaling and management of all data plane products that are used to ingest, process and enrich event stream data that are part of the Falcon platform.
In addition, you will continue to build out & scale teams capable of supporting the myriads of services running within the our data infrastructure. You will work closely with engineers and product to understand requirements and cross functionally with peers and senior leadership to deliver innovative products that can scale with increased demand. CrowdStrike is a remote-first organization and this position requires the ability to hold meetings with team members across US and EU time zones.
This is a Hybrid role requiring an 2 days per week in one of our office Locations (Austin, TX or Mid-town Manhattan, NY)
What You'll Do:
Lead multiple teams in the design, scaling and maintenance of data infrastructure services operating at 100s of PBs scale
Train, mentor and continue to hire top-tier data platform engineering talent
What You'll Need:
MS in Computer Science or related field
10+ years of software engineering experience in building and/or managing large scale data platforms
5+ years of hands-on management experience leading distributed engineering teams
Experience building and supporting real time or NRT data systems of ultra high scale (MINIMUM: 100s of TB/day in either a current or past role)
Significant expertise in performance-tuning or developing internals (source code) within Spark, Flink, Iceberg or Pinot or an equivalent structured streaming, Time Series, OLAP or Open Table real time system.
Production experience building either Spark- or Flink-based self-service data platforms, or equivalent (i.e. with Ray, or building spark- or Flink-like frameworks themselves in Scala, Akk, etc.)
Strong familiarity with (and ample hands-on experience tuning & optimizing) at least one applicable technology in the Apache Hadoop ecosystem: Spark, Kafka, Hive/Iceberg/Delta Lake, Presto/Trino, Pinot, Druid, etc.
Ample experience coding in Java, Scala, Kotlin or another JVM language (bonus points for experience tuning the language, i.e. garbage collection, memory management…)
Production experience with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra/DynamoDB, etc.
Intimate knowledge of deployment tools like Terraform and configuration automation tools like Chef/Puppet/Ansible
Demonstrated track record of leadership and building a strong core engineering team
Building and managing cloud and on-premise Hadoop and Spark infrastructure which could run on bare metal or Kubernetes clusters
Strong cross-team collaboration and interpersonal skills working with various roles including engineering, product management, support and sales engineering
Demonstrated ability to attract and hire talent and grow the team rapidly
Experience working with remote teams and individuals while ensuring agility and code velocity
Ability to communicate and articulate crisply at all levels from executive staff to engineers
Broad general knowledge of the high-technology industry gained in larger enterprise software environments enhanced by ongoing awareness of R&D practices / technology advances
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
Bonus Points:
Management experience with any of the following, the more the better
Developing compute and storage layers for data platforms at high scale (batch or near Real-time)
Experience with hybrid cloud environments (cloud and data center)
Exposure to container orchestration technologies, like Kubernetes
Experience with remote work, particularly managing distributed teams across multiple timezones
#LI-MP2
#LI-SF1
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.
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.
Find out more about your rights as an applicant.
CrowdStrike participates in the E-Verify program.
Notice of E-Verify Participation
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Right to Work 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.
USA - Austin, TX
Your teams would own data plane infrastructure that runs a multitude of Spark-, Flink- and other apache-based applications at incredibly high scale (over 3 Trillion events/day) both in our cloud environments as well as data centers. You own the setup, deployment, scaling and management of all data plane products that are used to ingest, process and enrich event stream data that are part of the Falcon platform. In addition, you will continue to build out & scale teams capable of supporting the myriads of services running within the our data infrastructure. You will work closely with engineers and product to understand requirements and cross functionally with peers and senior leadership to deliver innovative products that can scale with increased demand. CrowdStrike is a remote-first organization and this position requires the ability to hold meetings with team members across US and EU time zones. This is a Hybrid role requiring an 2 days per week in one of our office Locations (Austin, TX or Mid-town Manhattan, NY) What You'll Do:
- Demonstrated ability to attract and hire talent and grow the team rapidly - Experience working with remote teams and individuals while ensuring agility and code velocity - Ability to communicate and articulate crisply at all levels from executive staff to engineers
More relevant text appears in the full description.
Notice of E-Verify Participation Right to Work 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.