BAE Systems, a top-ten prime contractor to the U.S. Department of Defense, enables the U.S. government to transform data into intelligence and provides engineering, integration and sustainment support for critical military platforms and systems. Intelligence & Security provides services and products to the Department of Defense, the government, federal law enforcement officials, and troops deployed around the world.

At BAE Systems, we promote a strong, collaborative culture and provide our employees with the tools, skills and training they need to succeed. We are all about trust, camaraderie, and a shared ambition to lead the world in defense technologies and national security services. We offer flexible work environment to support the balance in your life and keep you performing at your best. Be a part of a company that is part of the community; driven to improve our future and protect our freedom.

Senior Splunk Cloud Engineer
We are seeking a Senior Splunk Cloud Engineer responsible for designing, operating, and evolving a scalable Splunk Cloud observability and security platform. The ideal candidate will improve the architecture, plan and execute high‑impact integrations, conduct advanced troubleshooting, automate deployments, and deliver reliable machine data visibility across the enterprise.

Key Responsibilities

• Platform Architecture: Lead design and roadmap for Splunk Cloud architecture, scaling, federation, clustering, and multi‑tenant considerations.

• Performance & Reliability: Tune indexing, retention, search performance, and storage strategy to meet SLAs for search latency and data availability.

• Security & Compliance: Implement role‑based access, encryption, secure forwarders, audit logging, and support compliance audits.

• Automation & CI/CD: Automate app deployment, configuration drift remediation, and infrastructure provisioning using IaC and CI/CD pipelines.

• Incident Response: Act as subject matter expert during high‑severity incidents, lead root cause analysis, and drive corrective actions.

• Mentorship & Collaboration: Mentor mid and junior engineers, create runbooks and best practices, and work cross‑functionally with SRE, SecOps, DevOps, and application teams.

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We are actively seeking Systems Engineers to perform as a Splunk Cloud engineer with a minimum of 16 years' experience. Information Technology or Engineer Bachelor's or Master’s Degrees are preferred. Specific skills should include the following:

• Experience integrating diverse data streams

• Experience with data transfer tools (Ex: NiFi, Cribl, etc)

• Establishes data standards and acts as custodian of IT and service delivery data sets and streams

• Experience in analyzing complex networks and systems

• Experience in analyzing log data from various network components and operating systems

• Knowledge of complex environments involving shared networks and multiple security enclaves

• Systems Engineer with Data Engineer background

• Ability to manage and troubleshoot data feeds

• Splunk familiarization

• Python

• Required Qualifications

• Experience: 6+ years working with Splunk or Splunk Certifications, with at least 3 years on Splunk Cloud or large Splunk Enterprise deployments.

• Technical Skills: Expert SPL, knowledge of Splunk apps (Enterprise Security, ITSI, DB Connect), forwarder architectures, indexer/search head concepts.

• Cloud & Observability: Hands‑on experience onboarding data from AWS, Azure, and/or GCP; familiarity and observability tooling.

• Automation: Proficiency CloudFormation and experience integrating Splunk deployments into CI/CD.

• Scripting: Strong Python and Bash skills for automation, integrations, and ingestion pipelines.

• Security Knowledge: Understanding of logging best practices, log retention requirements, secure transport, and common compliance frameworks.

• Soft Skills: Strong troubleshooting, stakeholder communication, project leadership, and mentoring capability.

• Splunk Certified Cloud Architect, Splunk Certified Admin, or Splunk Certified Power User.
• Cloud certifications (AWS/Azure/GCP).
• Experience with observability frameworks (OpenTelemetry), metrics pipelines, and metric-to-log correlation.
• Prior experience operating at enterprise scale (multi‑TB ingestion/day, global deployments).
• Proficiency with Terraform, Ansible, or similar IaC tools and experience integrating Splunk deployments into CI/CD.