דרושים » ניהול ביניים » Senior JAVA software engineer

Requirements:
B.Sc. in Computer Science or Software/Computers/Electrical Engineering.
Minimum of 5 years of experience in Python
Hands-on experience with CI/CD tools like Jenkins, GitLab, Docker, Kubernetes
Experienced in software regression automation and analysis
Proficiency in scripting languages such as Bash or PowerShell
Knowledge of communication protocols and interfaces
Excellent problem-solving skills and ability to troubleshoot complex technical issues
Team player with excellent communication skills and ability to collaborate with cross-functional teams
Ability to work independently and thrive in a challenging environment
Experience with configuration management tools (e.g., Terraform, Ansible, Puppet) - advantage
Knowledge in C/C++ programming - advantage.

Requirements:
Qualifications:
You have at least 5 years of active Java experience.
You have hands-on experience developing applications using Spring/SpringBoot framework and relational/non-relational DBs.
Deep understanding and experience with Kafka and Flink for real-time data processing.
Proficient in big data technologies including Apache Flink, Apache Kafka, and Apache Spark, with a strong focus on real-time data processing.
Demonstrated ability in data analysis and machine learning techniques essential for identifying fraudulent patterns and behaviors.
Expertise in both SQL and NoSQL databases, with proven experience in designing and managing large-scale database systems.
Strong programming skills in Java, Python, or Scala.
Advantage:
In-depth knowledge of fraud detection processes within the applicable industry, along with a firm grasp of compliance and security protocols.
ML, LLM, AI engineering, Agentice AI.

Requirements:
Proven experience as a Cloud DevOps Engineer, Site Reliability Engineer (SRE), or a similar role.
Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their associated services.
Strong proficiency in CI/CD tools (Jenkins, GitLab CI/CD, GitHub Actions, etc.).
Expertise in scripting and automation using Python, Bash, or similar languages.
Experience with containerization and orchestration tools like Docker and Kubernetes.
Proficiency in Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible.
Familiarity with monitoring and logging solutions (Prometheus, Grafana, ELK Stack, CloudWatch, etc.).

Requirements:
5+ years in backend software engineering roles, with demonstrated ability to navigate technical trade-offs and ambiguity effectively.
Proficiency in C#, Java, or similar object-oriented languages.
Expertise in SQL and database management
Strong knowledge of data structures and algorithms.
Experience with microservices architecture.
Experience in designing new functionality for existing complex components while maintaining scalability and performance.
Ability to collaborate effectively and communicate technical concepts to diverse stakeholders.
BA/BSc in Computer Science, Software Engineering, or equivalent experience (e.g., military technology units like 8200).

Requirements:
Must Have
* 5+ years of experience developing client-side web applications.
* Strong proficiency in JavaScript (ES6+) and TypeScript.
* Proven experience with at least one major GIS mapping library:
* ArcGIS API for JavaScript, Mapbox GL JS, OpenLayers, or Leaflet.
* Hands-on experience with Front-End frameworks: React (preferred), or Angular / Vue.js.
* Excellent knowledge of spatial data formats:
* GeoJSON, KML, Shapefiles, TopoJSON.
* Experience consuming geospatial web services:
* REST APIs, WMS, WMTS, WFS.
* Good understanding of coordinate systems and spatial projections (e.g., EPSG codes, reprojection).
* Experience building responsive, cross-browser compatible GIS web applications.
* Version control proficiency:
* Git (GitHub/GitLab workflow).
* Experience working in On-Premises environments:
* Ability to develop, troubleshoot, and deploy web applications in isolated, offline networks (no Internet access). Nice to Have (Advantages):
* Experience with 3D GIS technologies:
* CesiumJS, Deck.gl, Kepler.gl.
* Familiarity with WebGL rendering for complex spatial data visualization.
* Understanding of spatial indexing and geospatial search engines:
* e.g., ElasticSearch Geo capabilities.
* Experience integrating with cloud-based GIS services:
* AWS Location Service, Azure Maps, ArcGIS Online.
* Familiarity with backend GIS servers:
* GeoServer, MapServer.
* Performance optimization techniques:
* Rendering of large datasets, clustering, lazy loading.
* Knowledge of application deployment in secure environments:
* e.g., usage of internal repositories, offline build processes, and containerization (Docker/Kubernetes advantage).
* Experience with mobile-friendly GIS applications (Progressive Web Apps PWA concepts). Soft Skills:
* Strong problem-solving skills and technical troubleshooting abilities.
* Excellent communication skills (written and verbal) in English.
* Ability to work independently and in collaboration with cross-functional teams.
* Strong focus on quality, security, and reliability, especially in sensitive environments.
* Passion for GIS innovation and User Experience. Education: B.Sc. in Computer Science, Software Engineering, Geoinformatics, or related fields (preferred). Alternatively, graduates of technological military units Relevant certifications in GIS or Web Development (advantage).

Requirements:
B.Sc/ M.Sc in Computer Engineering, Computer Science or Electrical Engineering.
5+ years software development experience in C in DSP\Embedded environment
Familiarity with Matlab - advantage
Experience in DSP programming (SIMD\Vectorization) and signal processing - advantage
Curious, effective developer with a good understanding of systems as a whole and knowledge of adjacent fields such as hardware, physics, etc.

Requirements:
5 + years of experience as a server side developer, (using C# a must!, REST APIs, webhooks, and asynchronous communication with Queues/Streams such as TabbitMQ and Kafka).
5+ years of managerial experience, leading development of customer facing products a must!
3+ years of experience with SQL (MSSQL/Oracle/MySql/PostgreSQL etc.).
2+ years experience with observability systems (Dynatrace, Grafana, etc.)
Broad knowledge of OOP and design patterns.
Team player attitude and mentality.
Experienced and passionate about managing and growing people.
Experience in engineering best practices (code-reviews, testing coverage, agile methodologies).
Ambitious and eager to learn new things.

Requirements:
8+ years experience designing and developing web, software, or mobile applications.
Strong leadership experience: Leading meetings, presenting, technical go to person, and cross-functional leader.
BS/MS in computer science or equivalent work experience.
Expertise with Java Spring and React.
Expertise with the entire Software Development Life Cycle (SDLC).
3+ years experience with AWS Ecosystem.
Excellent communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
Expertise in the Software design/architecture process.
Expertise with unit testing & Test Driven Development (TDD).
Business Acumen - strategic thinking & strategy development.
Building strong teams - set and evangelize vision, facilitative leadership, attract and retain key talent.

Requirements:
Essential:
Prior experience in designing, building, testing, and maintaining machine learning (ML) infrastructure to empower data scientists to rapidly iterate on model development.
2+ years relevant experience in developing continuous integration, CI/CD deployment pipelines (e.g., Jenkins, GitHub Actions), and bringing ML models to CI/CD pipelines.
Familiarity with data, feature and pipeline versioning of ML assets using tools such as CML-DVC or similar.
Proficient knowledge of Git, Docker, Containers, and Kubernetes.
Fluency in Infrastructure as Code tools (e.g., Terraform, Ansible, or Chef, etc.).
Fluency in common system maintenance and scripting languages, such as Python, Bash Shell, etc.
Good knowledge of Linux system administration.
E2E production experience with Azure ML, Azure ML pipelines, AWS SageMaker, and GCP AI Platform.
Familiarity with setting up hyperparameter tuning/optimization tools, and using them to manage versioning and experiments, model deployment and monitoring, such as Optuna, Kubeflow, AWS SageMaker, Hydrosphere, Seldon, or similar.