דרושים » תוכנה » Senior SecOps Engineer

Requirements:
Qualifications:
Bachelor's degree in Computer Science / equivalent experience.
3+ years of experience in DevOps/Software engineering working in one or more of the big public clouds: AWS / Azure / GCP.
3+ years of experience managing an infrastructure-as-code based cloud environment (AWS CDK/CloudFormation/Terraform).
Experience with micro services methodology.
Knowledge of AWS common best practices- design, implement, and maintain scalable and reliable cloud infrastructure solutions.
Hands-on scripting skills in Bash as well as Python or Typescript.
Experience with Git & CI-CD (preferably Github Actions & ArgoCD).
Knowledge of IP networking.
Experience maintaining infrastructure that requires high availability and security.
Strong written and verbal communication skills in English and Hebrew.

Advantage:
Experience with observability platforms (e.g. EFK/ELK, CloudWatch, Datadog, SumoLogic).
Experience with Kubernetes and HELM (preferably with EKS).
Experience with service mesh technologies such as Istio.

Requirements:
Qualifications
Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.
8+ years of professional software engineering experience, with a strong track record of delivering production-grade distributed systems.
Deep expertise in Kubernetes, including cluster architecture, workload orchestration, and security hardening e.g. RBAC, Workload Identity, Container Runtime Security.
Hands-on experience with containers (Docker) and container orchestration platforms (AKS, EKS, GKE).

Preferred:
Proficiency in one or more programming languages such as Go, C++, C, Python, or Java.
Experience building and operating cloud-native services on Azure or other public cloud platforms.
Strong understanding of site reliability engineering (SRE) principles, including observability, incident response, and automation.
Ability to work effectively with cross-functional teams and manage multiple priorities.

Requirements:
Requirements:
Bachelor's degree in Computer Science, Software Engineering, or industry equivalent.
2+ years of experience in QA & Automation.
Proficiency in scripting languages (e.g., Python, Bash).
Experience with containerization technologies (e.g., Docker, Kubernetes).
Familiarity with CI/CD pipelines (e.g., GitLab CI/CD, Jenkins).
Experience with cloud platforms (e.g., AWS, GCP).
Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Bonus if you have:
Strong understanding of the machine learning lifecycle, from experimentation to deployment and monitoring.
Experience with specific MLOps platforms or tools.
Experience in a fast-paced startup environment.

Requirements:
B.Sc. in computer science/information systems engineering.
5+ years of experience in data engineering (Preferably from a startup company).
Familiarity with data engineering tech stack, including ETL tools (Airflow, Spark, Flink, Kafka, Pubsub).
Strong SQL expertise, working with various databases (relational and NoSQL) such as MySQL, FireStore, Redis, and ElasticSearch.
Experience with cloud-based data warehouse solutions like BigQuery, Snowflake, and Oracle, and proficiency in working with public clouds (AWS/GCP).
Coding experience with Python.
Experience with dashboard tools.
Ability to communicate ideas and analyze results effectively, both verbally and in writing.

Requirements:
Requirements:
BSc in Computer Science or industry equivalent.
Backend engineer with at least 7 years of experience
Proficiency in Python and common ML frameworks.
Proven track record of leading technical teams.
Excellent communication and interpersonal skills.
Strong background in software engineering.
Experience with cloud platforms (AWS/GCP).

Bonus if you have:
Experience with MLOps platforms (MLFlow, Kubeflow).
Experience with optimizing algorithm implementations.
Experience with GPU/CPU optimizations.

Requirements:
* B.Sc. in Computer Science / Electrical Engineering / Computer Engineering.
* At least 3 years of development experience in a development team of complex enterprise systems.
* At least 2 years of experience in C / C ++ programming.
* Experience in multi-threading principles and programming.
* Experience in Python, JAVA, Linux, and Git.
* Great team player who knows when and how to push independently when needed.
* Strong communication skills.
Advantages:
* Experience in native mobile application development in Android or IOS.
* Experience Objective- C programming.
* Experience in NDK and JNI for Android.
* Experience with SDK development or integration. Advantages.
* Experience in reverse engineering for Android.
* Knowledge in Cyber security and Networking.
About the company:
Our mission is to protect every mobile app in the world and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With us, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use us to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.
We are an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.

Requirements:
Experience & Skills:
BSc in computer science/software engineering from a leading institute or IDF technological unit background.
6+ years of professional experience as a full-stack engineer on web applications and services, out of which at least 2 years in civilian high-tech industry.
3+ years of experience with NodeJS.
1+ years of experience with a modern front-end framework (React/ Vue.js/ Angular).
Experience with in-scale production with proven Single Page Application (SPAs).
TypeScript with Node.js.
Strong understanding of microservices architecture and hands-on experience designing and creating microservices using best practices.
Strong understanding of CI/CD concepts, including automation concepts.
Team player, highly effective working independently, self-motivated, detail-oriented, and organized with a can-do attitude.

Advantages:
Hands-on experience in React.
Lead Positions experience Team lead, Tech lead, Scrum master, Independent project leadership.
Design/pixel-perfect approach.
Understanding the security realm of business.
Experience with data domains (reporting, API, big data)

Requirements:
Requirements
4+ years of experience as a Backend engineer.
Bsc in Computer Science or industry equivalent.
Strong working experience in Python development.
Working experience with building or maintaining cloud-native applications.
Working experience with Linux/Unix.
Working experience with VEnv, Docker, K8S.
Experience with optimizing algorithm implementations.

Bonus if you have:
Experience with Major Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.). Comfortable in unexplored territory.
Experience with ML development and MLOps.
Experience with optimizing algorithm implementations.
Experience with GPU/CPU optimizations.
Experience with Real-time/Embedded development.

Requirements:
Strong builders mindset balancing deep system thinking with practical, hands-on delivery.
10+ years of full stack system architecture and complex platform engineering experience.
Deep expertise designing distributed, composable, and extensible systems across frontend and backend environments.
Strong hands-on skills with frontend frameworks (e.g., React, Next.js) and backend systems (e.g., Node.js, Python, Go, microservices, event-driven architectures).
Proven experience integrating and operationalizing AI-assisted development tools (e.g., GitHub Copilot, Cursor) into engineering workflows.
Experience building plugin frameworks, extension systems, or developer platforms that emphasize modularity and scalability.
Track record of defining and promoting engineering best practices especially in the context of AI-driven development.
Demonstrated technical leadership mentoring engineers, shaping architecture standards, and driving adoption of new paradigms.

Requirements:
B.Sc or M.Sc in Computer Science, Industrial Engineering, or a related field.
5+ years as a Technical Program Manager in a SaaS or b2c product environment.
Experience managing large-scale technical projects in global, cross-functional teams.
Deep understanding of R&D and software development lifecycle (SDLC) processes.Hands-on experience with agile methodologies (Scrum/Kanban) and tools (JIRA, Confluence).
Ability to adapt workflows across multiple teams, ensuring seamless execution and collaboration.
Excellent communication and leadership skills, with the ability to mentor and influence teams.
Excellent communication skills in English.
Strong ability to communicate technical concepts and program status effectively across different levels of the organization.
A natural collaborator who amplifies team voices, facilitates decision-making, and drives alignment.
Proven ability to manage complex integrations with third-party vendors.
Strong analytical and problem-solving skills with a data-driven mindset.
Excellent communication and stakeholder management skills with the ability to translate technical topics to non-technical audiences.
Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously.
Technical background in Software Development, DevOps, Solution Architecture or System Architecture is a plus.