Senior Cloud Engineer, Falcon Cloud Security

Jobtailor

New York (NY)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

CrowdStrike is seeking an engineering manager to lead a global team of cloud-focused engineers. You will guide technical strategy, architect scalable pipelines, and ensure high-quality delivery across distributed systems.

You will mentor engineers, drive hiring, and work closely with product management to align proactive detection capabilities with customer needs. You will oversee security-focused workflows and scale real-time data processing using Spark, Kafka, and related technologies across

Qualifications

BS/MS in Computer Science or related field, or equivalent work experience.
7+ years of software engineering experience with at least 3+ years in management positions.
Solid design and problem-solving skills with a passion for engineering excellence, quality, security, and performance.
Excellent communication skills for executive and technical audiences.
Experience with distributed data processing frameworks such as Apache Spark.
Familiarity with real-time streaming and analytics platforms (e.g., Apache Pinot, Kafka, Flink).
Experience handling large-scale datasets and building scalable data solutions.
Expertise in cloud architectures (AWS, Azure, GCP), container orchestration with Kubernetes.
Agile/Scrum methodology experience with ability to scale processes.
Programming skills in Golang, Python, or similar languages.

Responsibilities

Manage a team of engineers building and optimizing core pipeline protecting cloud workloads, containers, and Kubernetes clusters.
Drive roadmap and technical strategy and lead hiring, retaining, and growing a high-talent engineering team.
Architect enterprise-grade solutions that scale from thousands to millions of requests per second.
Lead a distributed global team across time zones to deliver high-quality products.
Partner with product management to align cloud proactive capabilities with customer needs and platform evolution.
Own validation processes for proactive vulnerability detections and automate workflows to maintain security standards.

Skills

Team management

Cloud architectures

Kubernetes

Apache Spark

Kafka

Cassandra

ElasticSearch

Golang

Python

GenAI/Agentic AI Automation

Distributed systems

Big Data

Cross-functional collaboration

Executive communication

Education

BS/MS in Computer Science or related field

Tools

Kubernetes

Apache Spark

Kafka

Cassandra

ElasticSearch

Golang

Python

Apache Pinot

Flink

GenAI/Agentic AI Automation

Job description

Manage a team of engineers building and optimizing the core pipeline that protects cloud workloads, containers, and Kubernetes clusters
As an engineering manager, you will help drive and deliver on both roadmap and technical strategy, and you will be instrumental in hiring, retaining, and growing a team of highly talented engineers
Help to architect enterprise grade solutions that scale seamlessly from thousands to millions of requests per second
Build and Lead a Global Team. Manage a distributed team of high-talented cloud specialized software engineers and technical leads, fostering a collaborative environment while coordinating across time zones to deliver high-quality products
Cross-Functional Collaboration. Partner with product management and engineering teams to align cloud proactive capabilities with customer needs, directly influencing CrowdStrike's Proactive detection platform evolution and organizational strategy
Ensure Quality and Accuracy. Own validation processes for proactive vulnerability detections, implementing automated workflows that maintain CrowdStrike's high standards for security solutions
Must be able to work 3+ days per week on site from our New York office

Requirements

Must be a U.S. Citizen or US Permanent Resident
BS/MS in Computer Science or related field, or equivalent work experience
7+ years of experience in Software Engineering roles with at least 3+ years in management positions
Solid design and problem-solving skills with a demonstrated passion for engineering excellence, quality, security, and performance
Excellent communication skills for executive and technical audiences
Excellent verbal and written communication skills are required for this role
Demonstrated experience working with distributed data processing frameworks such as Apache Spark
Familiarity with real-time streaming and analytics platforms (e.g., Apache Pinot, Kafka, Flink, or similar)
Experience handling large-scale datasets and building scalable data solutions
Expertise in cloud architectures (AWS, Azure, GCP), container orchestration with Kubernetes
Agile/Scrum methodology experience with ability to scale processes
Programming skills in Golang, Python, or similar languages
Experience with Kafka, Cassandra, ElasticSearch technologies
GenAI/Agentic AI automation experience
Broad grounding in all aspects of distributed systems development
Experience with containers and container orchestration technologies
Experience building systems at cloud scale
Experience with shipping high-quality software in a cloud environment (AWS, Azure, GCP)
Experience working with Big Data technologies
Strong cross-group collaboration and interpersonal communication skills working with a variety of roles including engineering, product management, support, and sales engineering
Demonstrated track record of hiring strong engineers
Experience working with remote teams and individuals while ensuring agility and velocity
Ability and desire to be hands on as well as leading the team and collaborating cross functionally
Demonstrated track record of mentoring and developing developers
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes

Core Competencies

Demonstrates expertise in managing and optimizing cloud architectures, particularly with Kubernetes and AWS, while leading a distributed team of engineers. Proven ability to drive technical strategy, ensure quality in software delivery, and foster cross-functional collaboration.

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