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Sr. Engineer (CrowdStrike Falcon)

Job Description - Sr. Engineer (CrowdStrike Falcon)

Position: Senior Engineer 

Role purpose

Build, deploy and improve CrowdStrike Falcon platform
capabilities across endpoint and cloud environments. The role combines Falcon
platform engineering with secure cloud-native development, integration and
automation, while partnering with the SOC and cloud teams to improve detection
and response outcomes.

 

Suggested
level

Senior
Engineer or experienced Engineer with demonstrable production ownership

Primary
accountability

Falcon
platform components, sensor coverage, policies, integrations, cloud workload
protection, automation and platform health.

Key
interfaces

Cyber
Platforms TPO, SOC, cloud and Kubernetes teams, endpoint services,
ServiceNow, identity, network and application teams.

 

Key Responsibilities:

 

·        Build, configure and maintain Falcon components
including sensor deployment and health, host groups, prevention and response
policies, exclusions, access controls and update rings appropriate to deployed
licences.

·        Engineer reliable Falcon coverage for GCP
compute and Kubernetes workloads, partnering on cloud account integration,
sensor or operator deployment, admission controls and image analysis where in
scope.

·        Create and maintain Terraform modules and
deployment pipelines for supported Falcon resources, cloud integration and
Kubernetes components.

·        Build Python automation and, where required,
Java services or integrations using Falcon APIs, SDKs, event streams and
approved enterprise interfaces.

·        Integrate Falcon detections, incidents, asset
and response data into Google SecOps, ServiceNow and other approved workflows;
validate mapping, event quality, latency and case traceability.

·        Design and tune detection and response policies,
indicators and orchestration workflows with SOC analysts; measure coverage,
noise, speed and operational impact.

·        Evaluate AI-assisted triage and response
capabilities with human review, approvals, auditability, test cases and
false-positive safeguards before production use.

·        Investigate platform health, sensor coverage
gaps, policy conflicts and failed integrations; maintain runbooks, test
evidence, change records and knowledge transfer.

Mandatory skills and experience:

 

·        Hands-on production engineering of CrowdStrike
Falcon, including deployment, policy configuration, sensor lifecycle, host
grouping, exclusions, RBAC and troubleshooting.

·        Practical experience using Falcon APIs and
Python for automation, workflow integration and event processing, including
authentication, scopes, retries and failure handling.

·        Terraform experience for repeatable platform and
cloud configuration, with modules, state, pipelines, testing and drift
management.

·        GCP knowledge covering organisations, projects,
IAM, service accounts, compute, networking and secure workload integration.

·        Kubernetes and container security knowledge
covering clusters, namespaces, images, admission controls, runtime
instrumentation and controlled rollouts.

·        Experience building or maintaining cloud-native
integrations in Python and Java, including APIs, testing, observability and
secure deployment.

·        Understanding of endpoint and cloud threat
detection, policy tuning, incident response and SOC handoff.

Desirable skills and experience:

·        Experience with Falcon Cloud Security, Fusion
SOAR, Foundry or Charlotte AI capabilities where deployed and licensed.

·        CrowdStrike Terraform provider and Kubernetes
deployment module experience.

·        Google SecOps, ServiceNow, vulnerability
tooling, CI or CD and enterprise identity integration experience.

·        Production Java development depth, especially
event-driven or containerised services.

·        Experience in regulated financial services and
platform continuity.

Expected deliverables:

·        Documented Falcon platform baseline, component
inventory, policy map, integration map, sensor coverage and known gaps.

·        Tested Terraform modules and pipelines for
repeatable configuration, GCP onboarding and Kubernetes coverage.

·        Production-ready Python or Java integrations
with controls, tests, logs, monitoring, runbooks and ownership.

·        Validated detection and response improvements,
including AI-assisted workflow assessment with defined human control points.

·        Coverage and health reporting, integration test
results, change records and a prioritised improvement backlog.

 

Assessment
area

Evidence
expected

Weight

Falcon
engineering

Sensor,
policy, platform health and API work, including contribution and scale.

30%

Cloud and IaC

GCP,
Kubernetes and Terraform deployments, testing and release controls.

25%

Software
integration

Python and
Java examples, API design, secure coding and operational support.

20%

Detection
response

Control
tuning, SOC handoff, workflows and AI-assisted capability evaluation.

15%

Operations

Documentation,
communication, incident and change follow-through.

10%



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