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Senior Software Engineer – Exposure Analysis, Response
Akamai Technologies. Build backend systems and infrastructure for Akamai ExAR, a cloud-based threat-hunting and segmentation service .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant 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 & technologiesAirflowApacheBigQueryCloudCyber 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