דרושים » הנדסה » Engineering Group Leader - DAM

Requirements:
At least 2 years as team leader of R&D team.
At least 3 years of proven experience as a software engineer, 2 out of them hands-on in Python.
Working with a multi-threaded environment and on large-scale systems
Working with AWS, Docker, and microservices Advantages
Teamwork skills with a problem-solving attitude
Strong troubleshooting skills
Ability to solve a complex problem in a timely manner
Soft Skills
Great interpersonal skills
Fast technology adaptation
Independently driven, proactive, accountable, reliable, team player.

Requirements:
At least 10+ years of hands-on software development experience must.
At least 2 years of experience as a Software Architect /or as a Principal Engineer must.
Proven experience in designing large-scale, high-availability systems with complex architecture and high traffic volumes must.
Experience in .NET and C# programming must.
Experience with Microsoft SQL Server and T-SQL development
Significant experience with relational database design and internals
Proven experience leading technical teams and driving end-to-end delivery of complex software projects, Proven experience in leading software projects and development teams must.
Strong background in designing scalable, secure, and high-performance software and data systems
Experience with cloud services and architectures (AWS preferred) must
Familiarity with database design and implementation, including both relational and NoSQL databases
Strong knowledge of software development lifecycle, best practices, and modern development methodologies
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Experience with operating systems (Windows, Linux)
Experience with scripting languages such as PowerShell and Python
Analytical mind with excellent problem-solving skills
Self-taught, quick learner of new technologies
Nice to have:
BSc in Computer Science, Engineering or Mathematics.
Hands on experience with data analysis of large and complex data sets using NOSQL, Elasticsearch and/or Snowflake
Cyber Security or Information Security background.
Experience with enterprise level release & change management processes.
Experience with Machine learning
Experience in the fintech industry ideally from companies operating in payments, banking, or financial platforms
Frontend development background a plus (Vue.js, React, Angular)
Hands-on experience with NoSQL technologies (Redis is a significant advantage)
Experience working with Snowflake or other cloud-based data warehousing solutions a significant advantage
Familiarity with containerized environments and cloud infrastructure (preferably AWS)
Exposure to AI-related technologies, including MCP servers or tools like GitHub Copilot (MCP experience is a plus).

Requirements:
3+ years of hands-on experience in Java (must)
Experience with Microservices architecture
Proven experience in building high-scale services
Experience with SQL and NoSQL database systems (MySQL, Aurora, MongoDB, Redis, etc.)
Strong understanding of developer testing (unit, component, integration, and e2e tests)
A team player with a strong sense of ownership and a can-do attitude
Independent, responsible, and communicative, thriving in a hybrid work mode
Nice to have
Familiarity with AWS Cloud and Kubernetes (advantage)
Experience with Queuing technologies like Kafka and RabbitMQ (advantage)
Experience in Financial industries - FinTech (strong advantage).

Requirements:
10+ years of experience in software development, working on high-scale distributed systems.
3+ years in technical leadership roles, driving architectural decisions and mentoring developers.
Expertise in data infrastructure, pipelines, and cloud-based solutions.
Proven ability to design and build scalable backend platforms, ensuring performance, reliability, and security.
Hands-on experience with PostgreSQL, Kafka, Spark, Airflow, and Python.
Knowledge of distributed data processing, event-driven architectures, and scalable data access solutions.
Experience working with the BigQuery ecosystem, leveraging its capabilities for scalability, efficient data access, and integration with cloud-native services.
Strong collaboration skills, working closely with product, data, and engineering stakeholders.
Bonus points
Experience with functional programming (Clojure/Scala).
Familiarity with modern frontend technologies and full-stack best practices.
Background in high-scale data platforms (BigQuery, Snowflake, or Spark).
Experience in AI-driven development, AI agents, or agentic workflows.
Recommended by an employee.

Requirements:
Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
A minimum of 10 years of experience in software engineering, with at least 5 years in a leadership role.
Proven track record of managing large-scale software projects and leading engineering teams to success.
Experience with cloud computing technologies and distributed systems is highly desirable.
Exceptional communication skills, with the ability to clearly articulate technical concepts to non-technical stakeholders.
Demonstrated ability to drive technical innovation and adapt to changing market demands.
Passion for technology and a deep understanding of software engineering principles.

Requirements:
Bachelor's degree in Computer Science.
At least 4 years experience as a Software Engineer or Tech Lead.
Proficiency with C# or Java.
In-depth experience in server-side development, multi-threaded and asynchronous development.
Strong understanding of software development lifecycle and agile methodologies
Exceptional leadership, communication, and interpersonal skills.
Ability to manage multiple projects and priorities effectively.

Requirements:
3+ years of work experience as a DevOps Engineer and at least 2 years of experience in a SaaS company
Significant coding experience in Python, PowerShell, Go, Bash or equivalent.
3+ years of experience on at least one major cloud platform: Azure, AWS (Azure is an advantage).
3+ years of Windows or Linux hands-on experience (configure, troubleshooting, and deployment).
Experience with IaaC\CM tools such as Terraform, Packer, and Ansible.
Experience with CI\CD platforms such as Jenkins, Github actions, Azure DevOps, and CircleCI. (Azure DevOps is an advantage)
Excellent problem-solving ability with solid communication and collaboration skills
A good understanding of IT infrastructure-related components, technologies, and protocols, such as Active Directory, DNS, TCPIP, Load balancing, PKI, Firewalls, and routing.
Good English communication skills (A global team where all full team discussions are held in English)
Ability to manage multiple projects of varying scopes concurrently, excellent communication skills, and ability to work as part of a team.
Advantages
Experience with various Azure services, such as: Service Fabric cluster, AKS, Virtual machine scale set, Storage account, Azure AD, Event Hubs, App Service, Azure SQL and SQL Managed instance, Log Analytics and Kusto query language, Azure Function, Azure Batch and more.
Experience with analytics, monitoring, dashboarding and incident management systems, such as Grafana, Azure Monitor, PagerDuty, OpsGenie, DataDog, New Relic.
C#\.Net programming experience.
Bachelors degree in a technical discipline, Information Systems Technology or Computer Science.

Requirements:
3+ years work-related industry experience using Java/Scala/Python
Experience with Big Data technologies: Hadoop, Spark, Elasticsearch (ELK), Flink, Kafka and similar an advantage
Experience building and deploying large scale, low-latency data processing systems
Excellent understanding of performance, profiling, and optimization
Experience working in the Unix/Linux environment
Solid knowledge of Computer Science fundamentals including data structures and algorithms
Experience working with CI/CD, Kubernetes, Airflow, Spring (boot) framework an advantage
Passionate about problem solving with excellent communication and team-work skills
B.Sc. in Computer Science or Computer Engineering

Requirements:
5+ years work-related industry experience using Java/Scala/Python
Experience with Big Data technologies: Hadoop, Spark, Elasticsearch (ELK), Flink, Kafka and similar an advantage
Experience building and deploying large scale, low-latency data processing systems
Excellent understanding of performance, profiling, and optimization
Experience working in the Unix/Linux environment
Solid knowledge of Computer Science fundamentals including data structures and algorithms
Experience working with CI/CD, Kubernetes, Airflow, Spring (boot) framework an advantage
Passionate about problem solving with excellent communication and team-work skills
B.Sc. in Computer Science or Computer Engineering

Requirements:
2+ years of experience in DevOps or infrastructure engineering
Hands-on experience with Kubernetes, Helm, and Docker
Strong background in Linuxadministration (including Group Policy, Domain Controllers)
Proficiency in Python for scripting, automation, or backend services
Experience with scripting (e.g., Bash, PowerShell)
Experience with infrastructure monitoring, alerting, and troubleshooting tools
Strong problem-solving and debugging abilities
Bonus / Nice to Have:
Exposure to cloud platforms (AWS, GCP)
Familiarity with storage solutions (e.g., EMC, NetApp, Dell) and SAN/NAStechnologies
Experience with ElasticSearch, Kafka, or working in integration-heavy environments