Senior Security Engineer - Elastic SIEM and Detection Engineering

Acronis is a global leader in cyber protection, delivering AI-powered protection for productive MSPs in a single, natively integrated platform that unifies operations management, cybersecurity, and data protection. Driven by our mission to protect, manage and automate every workload that businesses and lives depend on, we’ve built the industry’s only all-in-one solution.

We’re looking for a Senior Security Engineer to lead our Elastic SIEM and Detection Engineering program. This is an engineering-first role focused on building scalable detection pipelines, improving telemetry quality, and developing high-confidence detections that help security teams move faster and respond more effectively.

You’ll own the evolution of our Elastic Security environment — from log ingestion and platform optimization to Detection-as-Code pipelines and detection coverage strategy. This role is ideal for someone who enjoys building systems, improving signal quality, automating workflows, and solving detection engineering problems at scale.

While the primary focus is engineering, you’ll also serve as a Tier 2 escalation point for complex security events, helping scope incidents, initiate containment when needed, and improve detections based on real-world activity.

This is a high-impact role with significant ownership and the opportunity to shape how detection engineering is implemented across the organization.

WHAT YOU'LL DO

Elastic SIEM & Platform Engineering:

• Own and optimize the Elastic Security platform (Elasticsearch, Kibana, Fleet, Logstash, Elastic Agents)

• Design and maintain ingestion pipelines for cloud, endpoint, network, and application telemetry

• Improve telemetry quality, data retention, performance, and investigation workflows

• Integrate SIEM workflows with SOAR and automation tooling

Detection Engineering & Detection-as-Code:

• Build and maintain a Detection-as-Code pipeline using Git-based workflows and CI/CD automation

• Develop, test, tune, and maintain high-fidelity detections using Elastic Security, EQL, and KQL

• Reduce alert noise through tuning, enrichment, suppression, and exception handling

• Map detections to MITRE ATT&CK and help drive detection coverage strategy

• Track detection quality metrics including alert fidelity, false positive rates, and coverage gaps

Incident Response Support:

• Assist with complex alert escalations and perform initial incident scoping

• Execute initial containment actions when necessary (endpoint isolation, IP/domain blocking, account suspension)

• Participate in a low-frequency on-call rotation for critical incidents

• Translate incident learnings into improved detections and telemetry coverage

Collaboration & Automation:

• Partner with infrastructure, Dev Sec Ops , and cloud teams to improve logging and visibility

• Build automation and tooling using Python and/or Power Shell

• Support purple team exercises and adversary simulations

WHO WE'RE LOOKING FOR

• 5+ years of cybersecurity engineering experience

• 3+ years focused on SIEM engineering, detection engineering, or security analytics

• Strong hands-on experience with Elastic Security and the Elastic Stack

• Experience building or maintaining Detection-as-Code workflows using Git and CI/CD pipelines

• Strong understanding of detection tuning, alert fidelity, and operational detection quality

• Ability to independently investigate complex alerts and produce actionable findings

Technical

Experience:

• Elastic Security, Kibana, Fleet, Elastic Agents, EQL/KQL

• Detection engineering and MITRE ATT&CK mapping

• Jenkins, Bitbucket Pipelines, Git Hub Actions, or similar CI/CD tooling

• Python and/or Power Shell scripting

• AWS Cloud Trail, VPC Flow Logs, Azure Monitor, or similar telemetry sources

• TCP/IP, DNS, HTTP/S, and common attack patterns

• Threat intelligence enrichment and operationalization

Nice to Have:

• SOAR playbook development and automated response workflows

• Sigma rule development

• Elastic detection-rules ecosystem familiarity

• Terraform or Ansible experience

• Previous SOC or Incident Response background

What Success Looks Like:

• 30 Days:
  Validate telemetry sources and establish initial detection coverage baseline

• 90 Days:
  Operational Detection-as-Code pipeline with initial custom detections…