Senior Azure Infra Apps Platform Engineer – responsible for supporting and maintaining Windows Server workloads on Azure, ensuring reliability, security, and performance while leading incident management and driving SRE practices.
Responsibilities
Support and maintain highly available Windows Server workloads on Azure
Engineer core Microsoft services such as Active Directory, Azure AD, Group Policy, DNS/DHCP, ADFS PKI/Certificates, IIS
Own the stability, performance, and capacity of Wintel platforms and drive SRE-style reliability practices
Lead major incident technical bridge, perform root cause analysis, and implement problem management fixes
Patch, backup, and DR strategy execution and testing
As a Threat Research Engineer, you’ll take ideas from the first question to a working proof of concept, deploy it, and analyze the results yourself. This is a full-stack role, with AI central to how we work.
Locations (3)
Israel
Poland
United Kingdom
Compensation
Poland base salary range: 272,000 - 408,000 PLN
Responsibilities
Research new attack surfaces and threat vectors, including AI coding agents, agent plugins, and package ecosystems.
Find and responsibly disclose vulnerabilities in open source projects and developer tools.
Analyze software supply chain incidents and events.
Build AI-powered workflows and agents that automate research, analysis, and detection.
Build and maintain the cloud-based systems behind our detection and advisory work.
Lead and grow a high performing team of security engineers, overseeing secure software development lifecycle and security of CI/CD pipelines for LinkedIn’s member-facing and internal products.
Responsibilities
Own, evolve, and drive the secure development lifecycle
Drive shift-left and shift-down initiatives across architecture reviews, threat modeling, SAST/DAST, continuous end to end testing, fuzzing
Drive adoption of paved paths focusing on safe coding, cryptographic hygiene, software supply chain security
Champion AI-assisted security workflows
Lead and grow a high performing team of security engineers
Requirements
BS or higher in Computer Science, Cybersecurity, Information Security, or related technical field
Lead technical advisory and solution design for AI-enabled cybersecurity workflows, partnering with customers to deploy OpenAI models and APIs in security-critical environments.
Responsibilities
Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows
Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases
Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and common security tools
Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points
Advise customers on safe implementation patterns, including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects
Lead cybersecurity engineering activities for embedded software in aerospace and defense systems, ensuring compliance with DoD and NIST standards.
Compensation
The salary range for this role is 132,400 USD - 251,600 USD.
Responsibilities
Lead cybersecurity engineering activities aligned with NIST RMF, including system categorization, security control selection, implementation, assessment, and continuous monitoring.
Develop, document, and maintain system security architecture, design artifacts, and cybersecurity engineering documentation.
Partner with software, systems, and program engineering teams to embed security requirements and controls into system and software designs.
Drive the development and execution of secure software development lifecycle (SSDLC) practices.
Support preparation of security assessment packages (e.g., SSP, SCTM, POA&M) and interface with internal/external assessors.
Requirements
Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM)
Software Development of IT Security and AI Security solutions; AI Security Architecture design and development; Technical ownership of security software solutions delivery.
Responsibilities
Software Development of IT Security and AI Security solutions.
AI Security Architecture design and development.
Technical ownership of security software solutions delivery.
Lead project execution: development and delivery of AI/ML, RF sensing, and communications/networking capabilities from requirements through deployment and sustainment
Translate mission needs into plans: convert customer objectives into requirements, architectures, development plans, milestones, performance measures, and acceptance criteria
Lead the technical team: mentor engineers and researchers, collaborate with systems engineers, RF/communications researchers, DevSecOps personnel and mission partners, communicate technical status, decisions, risks, and tradeoffs
Manage technical work: decompose complex work into actionable tasks and subtasks, manage dependencies, technical risks, interfaces, and progress toward program objectives
Own project architecture: design and oversee architectures spanning RF and sensor-data pipelines, AI/ML integrations, services, APIs, databases, user interfaces, Open RAN integrations, and deployment infrastructure
Requirements
PhD in computer science, software engineering, computer engineering, or related technical discipline
MS in computer science, software engineering, computer engineering, or related technical discipline
BS in computer science, software engineering, computer engineering, or related technical discipline
Nice to have: Active Secret, Top Secret, or TS/SCI security clearance
Nice to have: Architecture experience for distributed, data-intensive, real-time, cloud, on-premises, edge, RF sensing, or communications systems
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