Senior Security Engineer

Talentify; Concord (CA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Talentify is seeking a Senior Security Engineer for a hybrid role in Boston, MA. The position requires on-site work three days per week within a 6+ month contract and focuses on building scalable detection capabilities and incident response across cloud-native environments.

Ideal candidates have 5+ years in security or related fields, strong Python/Go skills, and hands-on experience with AWS, Kubernetes, and modern CI/CD pipelines. AI/ML in security interest is appreciated.

Qualifications

• 5+ years of experience in security or related fields.
• Strong programming skills in Python or Go.
• Hands-on with cloud platforms and modern infra (AWS, Kubernetes, containers, IaC).
• Experience with SIEM, log pipelines, and threat detection.
• Familiar with Git-based workflows and CI/CD automation.
• Ability to translate threats into concrete detections and responses.
• Interest in applying AI/ML to cybersecurity challenges.

Responsibilities

• Build and enhance scalable detection capabilities using an engineering-first approach.
• Develop and maintain systems that identify and mitigate threats across the organization.
• Create detection logic as code (rule-based and ML-driven) with automated tests and pipelines.
• Manage incident response end-to-end, including on-call participation.
• Improve detection and response with automation and AI-driven solutions.
• Ingest and structure security telemetry for analytics and investigations.
• Collaborate with engineering to integrate security into cloud-native architectures.

Skills

Python

Go

AWS

Kubernetes

Containers

IaC

SIEM

Git workflows

CI/CD

Threat detection

Incident response

AI/ML in security

Communication

Tools

Wiz

CrowdStrike

Okta

Kubernetes

CI/CD tooling

Job description

Job Title : Senior Security Engineer

Location: Boston, MA

Type : Hybrid 3 days onsite required

Contract: 6+ months with extensions

Roles & Responsibilities

• 5+ years of experience across security engineering, software engineering, or data engineering
• Strong programming skills in languages such as Python, Go, or similar
• Hands-on experience with cloud platforms and modern infrastructure (AWS, Kubernetes, containers, IaC)
• Background in centralized logging, SIEM tools, and data pipeline development
• Familiarity with Git-based workflows and CI/CD automation
• Understanding of threat actor behaviors, tactics, and techniques
• Proven experience detecting, investigating, and responding to security incidents
• Strong communication skills with the ability to collaborate and provide technical direction
• Self-starter mindset with the ability to make independent decisions
• Interest in applying AI/ML to cybersecurity challenges
• Commitment to continuous learning and staying current in the field

Technical Skills

• The team is particularly focused on candidates with experience in modern cloud security platforms, with a strong preference for Wiz. However, comparable tools such as CrowdStrike or similar cloud/endpoint security solutions are also highly relevant.
• Additional exposure includes:
• AWS security and cloud-native controls
• Identity and access management tools such as Okta
• Endpoint and device management, including Mac and mobile environments
• Building and scaling detection capabilities

Core Responsibilities

• Build and enhance scalable detection capabilities using an engineering-first approach
• Develop and maintain systems that identify and mitigate threats across the organization
• Create detection logic as code (rule-based and ML-driven), incorporating automated testing and deployment pipelines
• Manage incident response end-to-end, including monitoring, triage, and resolution (on-call participation required)
• Improve detection and response processes through automation and AI-driven solutions
• Ingest and structure security telemetry to support efficient querying, analytics, and investigations
• Monitor evolving threats and implement controls to address new and emerging risks
• Collaborate with engineering teams to integrate security into cloud-native architectures

Preferred / Nice-to-Have

• Experience with Detection as Code frameworks
• Strong foundation in data engineering or data science concepts
• Experience building detection-focused data pipelines
• Familiarity with analytics-driven or metrics-based security approaches (e.g., precision/recall)