לוח משרות דרושים מהנדס תוכנה בתל אביב יפו

Requirements:
Minimum 4 years of QA engineering experience.
Proficiency in running manual tests for web applications (client and server-side).
Strong troubleshooting and analytical skills, with the ability to perform deep root cause analysis.
Experience in writing test plans based on new feature requirements.
In-depth knowledge of software QA methodologies, tools, and version release process.
Hand-on experience with logs and monitoring tools.
At least 1 year of experience working with test automation frameworks, preferably with Playwright and TypeScript.

Requirements:
4+ years of professional experience in Software Development or Data Science and 2+ years of experience in ML Ops Engineering/Machine Learning Engineering
Strong experience with Python and Machine Learning libraries
Proficiency with data analysis and feature engineering
Experience developing services and APIs in a cloud based microservices ecosystem
Experience SQL (BigQuery - Bonus)
BSc degree (or higher) in Mathematics, Statistics, Engineering, Computer Science, or any other quantitative field/military experience
Team player as well as the ability to be independent and proactive!

Requirements:
Computer Science / Software Engineering BA/BSc degree or equivalent course and practical experience.
2+ years of professional software development experience, with proficiency in Python or Go. Experience with other modern languages (e.g., Java, Node.js, C#, .NET) is also valuable.
A proven ability to learn and adapt to new technologies quickly.
Ability to multitask and handle context switches.
Excellent analytical, troubleshooting, and problem-solving skills.
Hands-on experience with AI-assisted development tools(Copilot, Cursor, Bedrock, Gemini, etc..)
Hands-on experience with cloud platforms (AWS, Azure, or GCP)Hands-on experience with containerization technologies (Docker, Kubernetes).
Hands-on experience with infrastructure and CI/CD technologies (Terraform, GitHub actions, ArgoCD).
A collaborative team player who is also a self-starter, capable of working autonomously and taking ownership of projects.
Excellent communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences.
Full professional proficiency in written and spoken English
Advantages: Experience maintaining or contributing to open-source libraries.

Requirements:
* 5+ years of experience as DevOps.
* Working in a Linux environment.
* Writing scripts in Python.
* Production experience with AWS & Kubernetes.
* 2+ years of experience with CI/CD processes.
* Extensive knowledge of networking concepts (Load Balancers, DNS, VPC).
* Experience in designing and maintaining high-availability solutions for large-scale systems.
* Experience with monitoring tools and log analytics (Grafana, Prometheus, Graphite).
* Experience with IaC tools (Terraform, Terragrunt - advantage).
* Experience with GenAI tools for automating operations, monitoring, or self-service platforms
* Development experience - Advantage.

Requirements:
35+ years of experience in DevOps, Cloud Engineering, or related roles.
Hands-on expertise with at least two major cloud providers (AWS, Azure, GCP; experience with all three is a plus).
Strong programming skills in Python and Bash (automation, tooling, scripts).
Proficiency in Linux systems administration.
Strong experience with Kubernetes, Docker, and container orchestration.
Deep understanding of networking fundamentals (TCP/IP, UDP, DNS, VPNs, routing, firewalls).
Experience with IaC tools: Terraform, CloudFormation, Azure Bicep.
Familiarity with CI/CD tools (GitHub Actions, GitLab CI, or similar).
Excellent problem-solving and troubleshooting skills.
Excellent communication skills, with the ability to work directly with customers.
Observability stack experience (Datadog, Prometheus, Grafana, ELK, etc.).
Nice to Have:
Experience in SaaS environments or multi-cloud deployments.
Security best practices and compliance knowledge (IAM, RBAC, data protection).

Requirements:
6+ years of experience in software development.
4+ years of building software using React and Typescript / Javascript.
Experience with building RESTful APIs using some common HTTP framework such as Nest.JS / Express.JS or FastAPI.
Experienced working with micro-services architecture & cloud-native environment.
Strong understanding of modern SaaS applications in terms of architecture and best practices.
Experience working with relational databases.
Nice to have:
Bachelor's degree in Computer Science, Engineering or relevant experience
Knowledge in the Cyber Security / Data Security domain

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:
MSc/Ph.D. in Statistics, computer science, data science or a related field
5+ years of experience of exploring, building and deploying ML and data systems in production
Strong programming skills in Python focusing on ML frameworks such as Sklearn, XGBoost or TensorFlow
Experience with distributed and stream processing, Cloud ML infrastructure and feature store tools
Expertise in supervised and unsupervised machine learning models (e.g., classification, anomaly detection or clustering)
Experience writing code in Agile, CI/CD-based production environments
Proficient in communicating technical and research ideas and collaborating effectively across teams and organizational stakeholders
Experience in Fintech solutions is a big advantage

Requirements:
3+ years of experience as a software developer - Must
Strong backend fundamentals ideally in Kotlin/Java/Go/JavaScript.
Acquainted with cloud-native environments: AWS/GCP/Azure, Docker, Kubernetes.
Hands-on experience is a big plus.
System design skills and ability to lead projects independently.
Comfortable working with communication protocols: REST/gRPC, Kafka/RabbitMQ, WebSocket.
Experience with either/both relational databases (PostgreSQL/MySQL) / NoSQL (MongoDB, Elastic).
Experience with SaaS products.
Familiarity with microservices/serverless architecture, ecosystem.
Testing experience (writing and Infra)

Requirements:
5+ years of demonstrated experience in server-side development using Java / C#.
Experience in developing scalable and distributed systems (Microservices architecture is an advantage).
Excellent problem-solving skills and the ability to work independently or as part of a team.
Passionate on developing high quality code, and able to deliver clean and effective design to solve complex problems.
Excellent communication, interpersonal, and teamwork skills.
Strong ownership sense, passion to impact millions of users, product oriented.
Experience working with Relational databases (NoSQL databases is Advantage).
Result driven, reliable, and accountable.
Experience with Agile software development methodologies.
Experience with Kafka / Cassandra - Advantage.

Requirements:
What you’ll bring:
? Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred. ? 3+ years of experience leading and managing a team of 5–8 engineers ? 8+ years of experience in the software engineering field. ? 5+ years of experience in big data technologies, with a focus on Elastic and Kafka. ? Proficiency in Java programming and experience with related frameworks. ? Strong understanding of data modeling, ETL processes, and data warehousing. ? Proven leadership skills with the ability to motivate and guide a team. ? Excellent problem-solving abilities and strong analytical skills. ? Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders. ? A solid understanding of CI/CD principles. ? Experience working with both external and in-house APIs and SDKs Advantages:
? Experience working directly with customers ? Experience with Docker, Kubernetes ? Experience with cloud platforms (e.g., AWS or Azure)

Requirements:
Experience: Minimum 5 years as a Backend Engineer.
Proficiency in Python: At least 5 years of experience, or expertise in an equivalent programming language.
Microservices and APIs: Proven experience in writing and maintaining microservices and REST APIs.
SQL Expertise: Strong proficiency in SQL.
Event-Driven Development: Hands-on experience with event-based development.
Big Data Experience: Familiarity with big data and high-velocity/volume systems is a plus.
Cloud Environments: Experience with multi-cloud environments (Azure, GCP, AWS).

Requirements:
3+ years of experience as DevOps, working in Linux environment and scripts writing.
Production experience with Public Cloud and container orchestration systems like kubernetes.
Deep understanding of IaC concepts and experience with tools such as Terraform, Cloudformation, Chef, Ansible, etc.
Broad knowledge and experience with popular observability tools such as Prometheus, Datadog, Elasticsearch, etc.

Requirements:
6+ years of experience in backend development using Python, Java, or a similar language.
3+ years of experience leading technical teams.
Expertise with relational databases (e.g., PostgreSQL, MySQL) and NoSQL/datastore systems (e.g., MongoDB, Redis).
Strong understanding of cloud infrastructure (AWS, GCP) and container orchestration technologies (e.g., Docker, Kubernetes).
Hands-on experience with building systems that support Big Data, analytics pipelines, or event-driven architectures a strong advantage.
Familiarity with CRM platforms, MarTech systems, or Data Science tooling a plus.
Deep understanding of software design principles, distributed systems, testing methodologies, and CI/CD best practices.
Excellent interpersonal skills with a proven ability to collaborate cross-functionally.
Passion for innovation, experimentation, and pushing the limits of technology.

Requirements:
6+ years of experience in back-end development using Python, Go, Java or similar.
Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
Strong understanding of software development principles, such as software design patterns, testing methodologies, and continuous integration/continuous deployment.
Experience with cloud platforms (e.g., AWS, GCP) and containerization technologies (e.g., Docker, Kubernetes).
Ability to work effectively in a team with excellent communication and collaboration skills.