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Akamai Technologies

Senior Software Engineer – Exposure Analysis, Response

Akamai Technologies

. Build backend systems and infrastructure for Akamai ExAR, a cloud-based threat-hunting and segmentation service .

Posted 10/22/2026full-timeRemote • IsraelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend system design and data platform capabilities, with a strong focus on SQL optimization, cloud data platforms, and AI development tools. Proven ability to mentor engineers and collaborate effectively across teams to enhance security product delivery.

Highest-signal resume keywords
Python ProgrammingSQL OptimizationCloud Data PlatformsGCP ExperienceAI Development Tools

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software DevelopmentData ModelingComplex Query DiagnosisWorkflow OrchestrationReliable Pipeline Design
Soft Skills
CollaborationMentoringTechnical Tradeoff Explanation
Tools & Technologies
Apache AirflowBigQueryDockerKubernetesCI/CD
Industry Keywords
Cybersecurity TelemetryDetection PipelinesThreat-HuntingMulti-Customer Platforms

Tech Stack

Tools & technologies
AirflowApacheBigQueryCloudCyber SecurityDockerGoogle Cloud PlatformKubernetesPythonSQL

About the role

Key responsibilities & impact
  • Build backend systems and infrastructure for Akamai ExAR, a cloud-based threat-hunting and segmentation service
  • Own backend and data-platform capabilities from design through production
  • Build a security product protecting millions of assets worldwide
  • Own technical decisions and delivery from requirements and design through testing, rollout, monitoring, and troubleshooting
  • Build and improve LLM-powered workflows, evaluating output quality, handling failures, and balancing accuracy, latency, and cost
  • Improve SQL performance, data models, orchestration, and cloud cost efficiency across a multi-customer, multi-region platform
  • Use AI assistants and agents for development, investigation, testing, and documentation; validate outputs and remain accountable for results
  • Partner with Security Research, Product, and R&D teams
  • Mentor engineers, review code and designs, and strengthen testing, observability, and engineering practices

Requirements

What you’ll need
  • 5+ years of software development experience
  • Good Python skills
  • Experience owning production backend or data systems
  • Deep SQL and data-modeling skills
  • Experience diagnosing and optimizing complex queries over large datasets
  • Hands-on experience with cloud data platforms and workflow orchestration
  • Experience using GCP, Apache Airflow, and BigQuery or equivalent technologies
  • Understanding of reliable pipeline design, including retries, idempotency, API integrations, data quality, and monitoring
  • Effective use of AI development tools, including critically reviewing generated code and verifying behavior through tests and evidence
  • Ability to resolve ambiguous requirements, explain technical tradeoffs, and collaborate across engineering and security teams
  • Nice to have: experience integrating LLM APIs, designing prompts and structured outputs, and evaluating AI workflows
  • Nice to have: experience with cybersecurity telemetry, detection pipelines, or products serving multiple customers
  • Familiarity with Docker, Kubernetes, CI/CD, or dashboard and reporting tools

Benefits

Comp & perks
  • Health, well-being, finances, and life beyond work benefits
  • Flexible work arrangements through FlexBase: work at home, in an office, or a combination of both