דרושים » ניהול ביניים » Sr/Principal Engineer Software

Requirements:
Minimum of 6 years of experience working as a Developer.
Proven expertise in AI Vibe Coding and developing AI-driven developer tools.
Strong proficiency in Python, Golang, or TypeScript.
Experience building and maintaining live, high-scale cloud production systems, preferably on GCP.
Strong technical background with excellent independent problem-solving skills.
Deep passion for enhancing the overall developer experience.
Preferred Qualifications
Experience in developing systems with LLM integration.
Experience working with Security products.
Bachelor's degree or equivalent military experience.
Experience in cloud infrastructure.
Experience in quality automation testing and frameworks.

Requirements:
6+ years of experience working as a Backend Developer
Proven expertise in AI Vibe Coding and a strong interest in developing AI-driven developer tools.
Strong proficiency in one or more of the following languages: Python, Golang, TypeScript.
Experience building and maintaining live, high-scale cloud production systems, preferably on a major cloud provider like GCP.
A strong technical background; independent and self-motivated, with excellent problem-solving skills.
A deep passion for enhancing the developer experience.
Preferred Qualifications:
Experience in developing IDE plugins.
Experience in developing systems with LLM integration
Experience with Security products
Bachelor's degree or equivalent military experience.

Requirements:
6+ years of experience working as a Backend Developer
Proven expertise in AI Vibe Coding and a strong interest in developing AI-driven developer tools.
Strong proficiency in one or more of the following languages: Python, Golang, TypeScript.
Experience building and maintaining live, high-scale cloud production systems, preferably on a major cloud provider like GCP.
A strong technical background; independent and self-motivated, with excellent problem-solving skills.
A deep passion for enhancing the developer experience.
Preferred Qualifications
Experience in developing IDE plugins.
Experience in developing systems with LLM integration
Experience with Security products
Bachelor's degree or equivalent military experience.

Requirements:
Required Qualifications:
5+ years of hands-on experience in the cybersecurity research field.
Threat Research & OS Internals:Proven track record of applying deep cyber and analytical expertise to build robust security logic using endpoint telemetry. Supported by a profound understanding of Windows and Linux OS/kernel internals to engineer advanced defenses.
Reverse engineering experience:Demonstrated expertise in reverse engineering (e.g., IDA Pro, Ghidra) across multiple platforms to dissect malware and identify sophisticated attack vectors.
Programming & Native Code Comprehension:Strong proficiency in Python for data analysis and rapid prototyping, combined with the ability to comprehend native code (C, C++, or Rust) to effectively read and interpret agent code, low-level system interactions, and memory operations.
End-to-End Research Ownership:A scientific, data-driven approach to solving complex security challenges, with a proven track record of owning research initiatives from initial ideation through to the deployment of production-grade capabilities.
Communication & Mentorship:Excellent communication skills, with the ability to clearly articulate complex threat research to diverse audiences, mentor junior team members, and champion security initiatives across the organization.
Preferred Qualifications:
AI Agents & Frameworks:Hands-on experience developing and working with AI Agents and agentic workflows. Technical understanding of the architectural distinctions between an agent, a skill, and Model Context Protocol (MCP). Proven experience utilizing common agentic frameworks.
Data Scale & Telemetry Analysis:Proficiency in query languages (e.g., SQL) and big data platforms (e.g., GCP) to parse, manipulate, and query large-scale agent telemetry, extracting actionable security insights and uncovering threat patterns from massive datasets.

Requirements:
Your Experience:
Must have proven experience in building and deploying scaled AI systems in production environments.
10+ years of software engineering experience with a deep architectural background in scalable server-side applications.
Passion for coding at the POC level: You still love to get your hands dirty with code, but your focus is on rapid prototyping, evaluating new technologies, and building Proofs of Concept to guide the engineering teams.
Demonstrated experience designing and integrating Generative AI solutions into enterprise backend architectures, backed by a strong grasp of models, frameworks, and prompting techniques.
Deep expertise with a variety of database technologies and major distributed cloud platforms (GCP, AWS, Azure).

Requirements:
Your Experience:
10+ years of progressive experience in DevOps, SRE, Platform, or Infrastructure Engineering roles, with a significant portion at the principal/ tech leadership/ staff, or architectural level.
System Design from Scratch: A proven track record of designing, building, and deploying large-scale, highly available distributed systems and cloud platforms from the ground up.
AI-Powered Automation: Proven experience designing and integrating AI-driven systems, autonomous agents, and LLM-based tools into engineering workflows to optimize development processes, procedures, and overall organizational efficiency.
Communication: Exceptional interpersonal skills, capable of articulating complex architectural and AI workflow concepts clearly to both deeply technical peers and executive leadership.
Cloud & IaC Mastery: Expert-level proficiency with GCP (or equivalent major cloud providers) and deep architectural experience with Terraform.
Advanced Container Orchestration: Deep, internal knowledge of virtualized and containerized environments, with architectural-level expertise in scaling Kubernetes, extending it via custom operators, and automating complex operational logic.
Software Engineering Approach: Advanced coding and automation skills in Python or Go. You treat infrastructure as a software engineering discipline and can build custom tooling/services when off-the-shelf solutions fall short.
Proven Leadership: Demonstrated ability to lead complex, cross-team technical initiatives from conception to delivery, including setting technical roadmaps and driving consensus among stakeholders.
OS/Systems Expertise: Mastery of Linux systems, including kernel tuning, advanced networking, and performance troubleshooting.
Nice to Have:
Deep expertise in managing and scaling stateful workloads and distributed databases (e.g., Cassandra, ScyllaDB, MemSQL, or MySQL) in containerized environments.
Experience contributing to open-source infrastructure projects, or presenting at major tech conferences.

Requirements:
12+ years of software engineering experience.
Experience in distributed cloud products.
Knowledge of the cyber field.
BSc in Computer Science or equivalent knowledge or equivalent military experience.
Preferred Qualifications:
Experience with a variety of database technologies (e.g., MySQL, Cassandra, Google BigQuery, Amazon Redshift, Elasticsearch, Neo4J).
Experience in designing, building, and maintaining a scalable server-side application.
Proven experience in AI Workloads, including hands-on experience building and scaling AI/ML workloads, and familiarity with LLM orchestration and Model Serving.
hands-on developer in the last 3 years
Experience in Python.
Experience with Google Cloud Platform (GCP).
Experience with Kubernetes or Docker.

Requirements:
BSc in Computer Science or related field, or equivalent practical experience.
10+ years of experience as a Software Engineer, with a focus on infrastructure, DevOps and CI systems.
Strong proficiency in Python/Go and backend development.
Strong, hands-on experience with GitHub Actions and CI/CD pipeline design.
Experience with test infrastructure and CI reliability engineering (e.g, test stability analysis, execution optimization).
Experience with container technologies (Docker, Kubernetes), including managing test environments (ephemeral and persistent).
Experience with infrastructure automation and IaC.
Experience with observability/monitoring tooling (e.g. Grafana, dashboards, metrics pipelines).
Working experience with Azure cloud services (e.g. AKS, Blob Storage).
Comfortable working in Linux environments.
Strong problem-solving skills, attention to detail, and comfort operating under release-pressure/escalation conditions.
Strong cross-team communication - you'll regularly work with engineers across many different teams to triage and resolve failures.
Advantages
Experience with test automation frameworks beyond Python - e.g. TypeScript/Playwright.
Experience building or integrating AI/LLM-assisted developer tooling.
Comfort with statistical or data-driven decision systems (e.g. scoring/classification logic, not just rule-based automation).
Experience with workflow engines and their implementation.
Experience with distributed systems.
Knowledge of frontend development.
Experience with high-availability systems.
Background in API development and integration.
Experience with security best practices and implementation.

Requirements:
8+ years of software engineering experience.
Experience in distributed cloud products.
Knowledge of the cyber field.
BSc in Computer Science or equivalent knowledge or equivalent military experience.
Preferred Qualifications
Experience with a variety of database technologies (e.g., MySQL, Cassandra, Google BigQuery, Amazon Redshift, Elasticsearch, Neo4J).
Experience in designing, building, and maintaining a scalable server-side application.
Proven experience in AI Workloads, including hands-on experience building and scaling AI/ML workloads, and familiarity with LLM orchestration and Model Serving.
Experience in Python.
Experience with Google Cloud Platform (GCP).
Experience with Kubernetes or Docker.

Requirements:
Your Experience:
8+ years of software engineering experience, including the development of scalable server-side application using GO or Python
Basic understanding and familiarity with the AI landscape, including various models, frameworks, and prompting techniques.
Demonstrated experience integrating Generative AI solutions into backend architectures.
Proficiency with a variety of database technologies.
Experience with distributed cloud products and major cloud platforms (e.g., GCP, AWS, Azure).
Nice to Have
Experience with containerization and orchestration technologies such as Kubernetes and Docker.
Proven ability to learn and adapt to new technologies and complex technical challenges in a fast-paced environment.