דרושים » תוכנה » Staff Software Engineer (Secrets Manager)

Requirements:
Education/Background: Bachelors or Masters Degree in Computer Science, Software Engineering, or related technical field / IDF elite technology unit alumni.
Professional Experience:15+ years of hands-on software development experience with extensive background in .NET / C# (or Java/Go/Python) within cloud-based microservices environments.
Technical Mastery:
Passionate about system design, high-quality code, peer code reviews, performance optimization, and challenging the status quo.
Deep understanding of cloud architecture patterns, RESTful APIs, asynchronous workflows, and event-oriented design.
Proactive by nature with an internal drive for engineering excellence, self-direction, and problem-solving.
Communication: Excellent written and verbal communication skills in English with the ability to articulate complex architectural decisions simply.
Qualifications
Extensive experience building enterprise-scale SaaS applications using AWS services and Infrastructure-as-Code (AWS CDK or Terraform).
Solid understanding of security protocols, networking best practices, and Identity & Access Management concepts (directory services, SSO, OAuth2/OIDC, SAML).
Hands-on experience with modern CI/CD automation tools (GitHub, Jenkins, Artifactory) and containerization ecosystems (Docker, Kubernetes, OpenShift).
Build end-to-end features using models from providers like OpenAI, Anthropic, or open-source ecosystems.

Requirements:
4+ years of experience as a DevOps engineer
Deep knowledge and experience in cloud infrastructure such as AWS, Azure, or Google Cloud
Experience with Infrastructure as Code (IaC) tools (e.g.Terraform, AWS CDK, CloudFormation)
Experience with Containers and Orchestrators (Docker, Kubernetes, ECS, etc.)
Experience with CI/CD Tools and Configuration Management Systems (e.g. Jenkins, Git, Ansible, Terraform, etc.)
Experience with any of the Observability and Logging tools preferably DataDog
Good understanding and ability to manage and append Networking on cloud and cloud topology
Good script skills - Bash and Python
Decision-making skills: taking into account both architectural and business considerations, at times with incomplete information.
Proactive by nature; internal drive for excellence and improvement
Strong ability to use new technologies and understand them in depth through rapid self-learning
Fluent in English, good writing skills
Additional Information
Experience in testing methodologies and developing tests (e.g Unit tests, integration tests, system tests)
Strong networking foundations (TCP/IP, DNS, Network Protocols, Routing)
Security principles and techniques (Risk management, Threat modeling, secure configuration)
Database usage experience and understanding
Experience with Agile development and practices
Cloud Solution Architect Certificate.

Requirements:
Your Experience:
Bachelors Degree in Computer Science or a related engineering field, or relevant experience from a technology elite unit.
At least 7 years of software development experience.
5+ years of experience in a backend language such as Python, Go, Node.js, Ruby, or Java.
Deep knowledge and expertise in at least one modern frontend framework (React, Angular, or Vue).
Excellent communication skills, with fluency in written and spoken English.
Preferred Qualifications:
Professional experience with Python.
Good knowledge of TypeScript and RxJS.
Deep knowledge and experience in state management libraries such as Redux or MobX.
A passion for technology and a desire to learn and understand new things in depth.
Proactive nature with an internal drive for excellence and continuous improvement.

Requirements:
4+ years of experience in a DevOps or related engineering role, with a strong background in AWS and cloud-native environments. Proven ability to design, manage, and maintain high-scale production systems, ensuring reliability, performance, and scalability.
Deep expertise in cloud technologies and application security, with a strong focus on best practices for securing resilient, scalable, and cost-efficient architectures.
Extensive experience with containerization and orchestration technologies, including Docker, Kubernetes, and Helm.
Proficiency in automation tools such as Terraform, and hands-on experience with CI/CD pipelines using tools like Jenkins.
Strong knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, Loki) to ensure system health, optimize performance, and proactively detect issues.
Proficiency in scripting languages (e.g., Node.js, Bash) to automate workflows and enhance operational efficiency.
Excellent communication, collaboration, and documentation skills, with a proactive approach to problem-solving.
Passionate about learning new technologies and tackling complex challenges in a fast-paced environment.
Hands-on experience managing big data infrastructure, optimizing performance and scalability for data-intensive applications.

Requirements:
At least 5 years of experience in DevOps, Platform Engineering, Cloud Engineering, or Software Engineering roles
Strong hands-on experience with Azure cloud platform
Mandatory hands-on experience with Kubernetes (K8s) and the cloud-native ecosystem
Strong experience designing and implementing CI/CD pipelines and DevOps automation
Hands-on experience with Infrastructure as Code tools such as Terraform, OpenTofu, Pulumi, or CloudFormation
Strong programming skills in Python and/or Go, including API integrations and automation development
Experience with GitOps methodologies and tools such as Argo CD or Flux
Experience with observability and monitoring tools such as Prometheus, Grafana, ELK, or OpenSearch
Excellent communication skills with the ability to engage customers, conduct assessments, and present recommendations
Experience in consulting, professional services, Platform Engineering, or DevSecOps environments is an advantage

Requirements:
Your Experience:
5+ years of direct people management experience leading software engineering teams in cloud SaaS or microservices environments.
8+ years of prior hands-on software development experience using .NET / C# (or Java/Go/Python) with strong foundational knowledge of modern cloud architecture (AWS).
Bachelors or Masters Degree in Computer Science, Software Engineering, or equivalent experience / IDF elite technology unit alumni.
Proven track record of building, hiring, and retaining strong engineering talent.
Demonstrated capability in driving agile execution, managing timelines, and handling complex technical dependencies.
Deep commitment to engineering quality, system reliability, security-by-design, and continuous improvement.
Strong communication and stakeholder management skills with fluent written and spoken English.
Preferred Qualifications:
Experience leading teams focused on Identity & Access Management (IAM), Directory Services, SSO, or Zero Trust cybersecurity platforms.
Hands on familiarity with AWS cloud services, Infrastructure as Code (AWS CDK or Terraform), and containerization (Docker, Kubernetes).
Experience managing engineering teams operating under strict security, compliance, and multi-region SaaS requirements.

Requirements:
3 years of experience in DevOps, Cloud, SRE, or Platform Engineering
Familiarity with AWS, Kubernetes (EKS), Terraform, and CI/CD concepts
Experience with Docker, Git, and scripting using Python or Bash
Understanding of Linux, networking, and cloud fundamentals
Strong troubleshooting and problem-solving skills
Good communication and teamwork skills
Passion for learning and adopting new technologies.

Requirements:
* Education & Experience
* B.Sc. or M.Sc. in Mechanical Engineering, Electrical Engineering, Software Engineering, or a related field.
* Extensive, proven management experience leading multidisciplinary teams (specifically encompassing mechanics, software, control, and electrical disciplines).
* Demonstrated experience working and thriving in the dynamic, fast-paced environment of a startup.
* Advantage: Previous experience in the printing industry. Technical Skills
* Deep understanding and hands-on background in multi-disciplinary machine development, automation, motion control, and software architecture.
* Proven track record in managing complete technological lifecycles, from R&D to field deployment and customer support. Leadership Skills
* Excellent interpersonal and communication skills.
* A proactive "driver" who pushes execution forward with high energy and dedication.
* Strong sense of accountability, capable of taking full ownership and leading by example.
* Outstanding teamwork capabilities with the ability to build strong, collaborative relationships across the organization.
Key Competencies:
* Ability to work effectively in high-pressure, fast-moving environments.
* Holistic, system-level thinking combined with deep technical domain expertise.
* Customer-centric approach to field implementation and technical support.

Requirements:
To succeed in this role, youll need:
Bachelors / Master's degree or PhD in Computer Science or a related technical field, specialisation in Security or AI/ML or an exceptional, well-evidenced track record substituting for it
10+ years of software engineering experience, including a track record of owning the architecture of complex systems at enterprise scale
A track record of setting technical direction beyond your own team - architecture or standards other teams adopted, senior engineers you've levelled up, and comfort operating where the problem isn't yet defined
7+ years in security engineering - network and systems security, security protocols, design reviews, and threat modeling - with a focus on AI-specific work in recent years
Multiple demonstrated engagements threat modeling and/or securing LLM, GenAI, or agentic systems, with evidence of platform-level or cross-team impact
Personal ownership of prompt injection / jailbreak defense, guardrail architecture, or AI red-teaming programs - ideally having built the program/methodology, not just executed within one
Deep, applied experience securing model, RAG, or data pipelines, including having designed the access-control and data-governance model others build against
Fluency with the OWASP LLM Top 10 (or equivalent) to the point of extending, critiquing, or contributing to such frameworks - not just applying them
Deep hands-on experience with agentic AI frameworks (e.g., LangChain, LangGraph)
Clear communication, a collaborative default, and a bias toward learning fast in a field that changes constantly
Bonus
Strong command of auth protocols (OAuth 2.0, OIDC, PKCE, API Keys) and agentic protocols (MCP, A2A), including having designed identity/consent models for them
Built and open-sourced (or productized) security tooling/automation for AI systems now used beyond one team
Track record of CVEs, top-tier publications, or invited talks specifically in AI/ML or LLM security
Prior experience setting AI security strategy at a platform or company level, not just a single product
5+ years of programming experience in Java or Python.

Requirements:
Your Experience
3+ years experience working as a Program Manager in an R&D organization in a SaaS company.
Engineering degree
Workflow Automation & Integration: Hands-on experience configuring or building automated workflows using tools like Jira Automation, APIs, low-code/no-code integration platforms, or modern enterprise management ecosystems.
AI & LLM Fluency: Proven ability to leverage AI-first environments and tools (such as prompt engineering, agentic workflows, or LLM-assisted coding) to automate operational tracking, synthesize data, and streamline communication.
Data & Analytics Literacy: Solid proficiency in querying, manipulating, and analyzing complex datasets (e.g., intermediate SQL, Python, or BI tooling like Tableau/Looker) to build live data dashboards and extract actionable engineering insights.
Domain Context: Strong understanding of the modern SaaS product development lifecycle, CI/CD pipelines, and the operational realities of working within a cybersecurity or high-scale cloud environment.
Large-Scale Process Design: A proven track record of designing, negotiating, and successfully implementing core organizational processes impacting large engineering organizations (150+ people).
Influence Without Authority: Exceptional interpersonal, presentation, and leadership skills with a demonstrated ability to gain buy-in from skeptical or resistant engineering directors and executive stakeholders.
Pragmatic Problem Solving: A data-driven analytical mindset combined with a highly adaptable, creative approach to overcoming operational bottlenecks. You default to solving problems through system engineering rather than policy enforcement.