4 months ago
Base Salary
$160k - $200k/yr
Responsibilities
- Lead deployment and operationalization of security and AI solutions in customer and enterprise environments.
- Translate business, operational, and security requirements into deployable architectures and implementation plans.
- Serve as a trusted technical advisor through onboarding, implementation, rollout, and optimization.
- Design and implement integrations across SIEM, XDR, SOAR, case management, data platforms, and AI-enabled tooling.
- Build cloud-native data ingestion, normalization, enrichment, and security telemetry pipelines.
- Integrate APIs, webhooks, message queues, and automation workflows across identity, endpoint, cloud, network, and application ecosystems.
- Operationalize AI and automation use cases such as alert enrichment, triage support, summarization, clustering, playbook selection, and analyst copilots.
- Implement secure automation and support resiliency, observability, performance, and scale for deployed solutions.
- Troubleshoot integration issues and production challenges while improving reliability through documentation, testing, monitoring, and standardized engineering practices.
- Collaborate with security, data, infrastructure, platform, product, and customer teams; mentor engineers and provide field feedback for roadmap and architecture decisions.
Requirements
- At least 5 years of experience in security engineering, platform engineering, forward deployed engineering, solutions engineering, or related technical roles.
- Hands-on experience implementing and operating modern SOC technologies such as SIEM, XDR, and SOAR.
- Experience deploying cloud-native architectures on at least one major cloud provider, including AWS, Azure, or GCP.
- Strong experience with data integration, telemetry pipelines, normalization, and security analytics workflows.
- Experience working directly with customers, internal stakeholders, or cross-functional delivery teams in implementation-focused environments.
- Ability to lead technical engagements, drive execution, and influence outcomes without direct authority.
- Experience with scripting and automation using Python, PowerShell, or Bash.
- Familiarity with APIs and integration patterns including REST, webhooks, and event-driven workflows.
- Working knowledge of AI and machine learning concepts relevant to SOC use cases, including anomaly detection, behavior analytics, LLMs, vector search, and AI assistants.
- Bachelor’s degree in Computer Science, Information Security, Engineering, or equivalent practical experience.
- Preferred qualifications include MSSP, MDR, XDR, security service delivery, regulated-environment, infrastructure-as-code, CI/CD, production software delivery, and implementation framework experience.
- Relevant cloud, security, or platform certifications are a plus.
Benefits
- Medical, dental, and vision insurance.
- 401(k) plan.
- Paid company holidays and paid time off.
- Paid parental and caregiver leave.
- Professional development, cross-department training, and sponsored certifications and credentials.
- The posting references additional USA employment benefits through the company benefits website.
Tech Stack
Apache KafkaApache SparkAWSAzureBashDatabricksGoogle BigQueryGoogle Cloud PlatformPowerShellPythonSnowflake
Categories
Forward Deployed
About AHEAD
AHEAD is an IT services and consulting firm that designs, builds, and operates digital platforms for large enterprises across cloud infrastructure, automation, data and analytics, security, and DevOps. It generates revenue through consulting, systems integration, and managed services, including cloud management and operations. Founded in 2007 and headquartered in Chicago, it is privately held and owned by Centerbridge Partners.