דרושים » הנדסה » Senior Python Developer for a Successful Company in Bnei Brak

Requirements:
5+ years of professional experience as a backend developer, with strong skills in Python
Solid experience in developing services on cloud platforms, particularly AWS (experience with Azure or GCP is a plus).
Expertise in Python frameworks and Node.js frameworks (e.g., Express).
Strong understanding of software engineering principles, including system design and data structures.
Experience building RESTful APIs and microservices architectures.
Familiarity with relational and NoSQL databases (e.g., MySQL, MongoDB).
Strong debugging, performance optimization, and troubleshooting skills.
Strong communication and collaboration skills, with the ability to work effectively in a team.
Proactive, detail-oriented, and self-motivated with the ability to thrive in a fast-paced environment.
Nice-to-Have:
Experience with Node.js
Knowledge of serverless architecture (e.g., AWS Lambda).
Experience with DevOps tools and practices, including:
Infrastructure as Code (IaC) tools like Terraform.
Containerization and orchestration tools like Docker and Kubernetes (K8s).
CI/CD tools such as Jenkins or similar.
Knowledge of security best practices for cloud-based environments.
Previous experience working in an infrastructure or architecture team.

Requirements:
6+ years of backend development experience, ideally in platform engineering.
Proficiency in backend languages such as Go, Python, or Node.js.
Experience with cloud platforms (AWS, GCP, or Azure).
Hands-on experience with Docker, Kubernetes, and microservices orchestration.
Familiarity with Infrastructure-as-Code tools (Terraform, Helm).
Knowledge of cloud security best practices and compliance standards.
Strong analytical and problem-solving skills; self-starter attitude.
Experience working with both SQL (PostgreSQL, MySQL) and NoSQL databases.
Nice to Have:
Experience with observability tools (Prometheus, OpenTelemetry, Coralogix, etc.).
Understanding of cloud cost optimization techniques.

Requirements:
Required Skills & Qualifications
Experience: 5+ years of professional software development experience.
Programming Languages: Proficiency in one or more languages such as C#, JavaScript/TypeScript, or Go.
Frameworks & Technologies: Experience with frameworks such as .NET Core & React.
Databases: Strong understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.
Microservices & APIs: Strong experience in building RESTful APIs and microservices architectures.
Data Lakes & Warehouses (Advantage): Experience working with one of the leading vendors for big data processing, analytics, and storage.
Cloud Platforms (Advantage): Experience with AWS, Azure, or Google Cloud Platform (GCP).
Security & Compliance (Advantage): Understanding of secure coding practices and data protection regulations.
Testing (Advantage): Experience with unit testing, integration testing, and automated testing frameworks.
CI/CD & DevOps (Advantage): Experience with Docker, Kubernetes, Gitlab, or other CI/CD tools.
Education (Advantage): Bachelors or Masters degree in Computer Science, Software Engineering, or relevant army training.
Preferred Skills & Qualifications
Experience working with one of the leading Data Lake & Warehouse vendors for big data processing, analytics, and storage.
Experience with any of the leading cloud platforms AWS, Azure, or Google Cloud Platform (GCP).
Understanding of secure coding practices and data protection regulations.
Experience with unit testing, integration testing, and automated testing frameworks.
Experience with Docker, Kubernetes, Gitlab, or other CI/CD tools.
Experience in distributed systems, event-driven architecture, or message queues (Kafka, RabbitMQ).
Knowledge of front-end development (React, Vue.js, or Angular).
Bachelors or Masters degree in Computer Science, Software Engineering, or relevant army training.
Contributions to open-source projects or personal coding projects.
Familiarity with observability and monitoring tools like Prometheus, Grafana, or Datadog.
Soft Skills
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Ability to work in a fast-paced, Agile development environment.
Passion for continuous learning and staying updated with industry trends.
Additional Skills:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX).

Requirements:
A minimum of 3 years of experience in developing complex backend systems
At least 2 years proficiency in Python(production environment)
Experience in Docker
Proven track record in identifying and troubleshooting performance and scalability bottlenecks within a distributed ecosystem running hundreds of microservices
Experience with FastAPI or Django or Flask frameworks
Experience in high-level design
Demonstrated ability to produce high-performance, Testable, Maintainable, and Reusable code
Agile methodology practitioner
Experience in a Production SaaS environment
Strong command of Linux environments
Experience with at least 2 of these Data Bases - MySQL, ElasticSearch, MongoDB, Redis
Ability to learn quickly and independently
Advantages:
Experience in Kubernetes
Proficiency with cloud technologies and services, such as AWS (EC2, S3, Lambda, Streaming, EMR, EKS) or GCP/ Azure
Knowledge in the Cyber security field.
Advanced CI and DevOps technologies Jenkins, Git, Helm.
Experience applying AI or LLMs (Large Language Models) for productivity enhancements or to power product featurese.g., using AI to automate enrichment, boost development and processes, classify intelligence or assist in threat hunting workflows.
Experience in Networking/ Network Security Platform (WAF, DDOS, Load Balancers, FW devices)
Our Tech Stack:
SaaS Web Application
AWS cloud
Kubernetes & Microservices architecture
Databases MySQL, ElasticSearch, Redis, MongoDB
Streaming Platforms like Kafka
Monitoring tools Prometheus, Grafana, Kibana etc
& more.

Requirements:
7+ years of experience in data infra or backend engineering.
Strong knowledge of data services architecture, and ML Ops.
Experience with cloud-based data infrastructure in the cloud, such as AWS, GCP, or Azure.
Deep experience with SQL and NoSQL databases.
Experience with Data Warehouse technologies such as Snowflake and Databricks.
Proficiency in backend programming languages like Python, NodeJS, or an equivalent.
Proven leadership experience, including mentoring engineers and driving technical initiatives.
Strong communication, collaboration, and stakeholder management skills.
Bonus Points:
Experience leading teams working with serverless technologies like AWS Lambda.
Hands-on experience with TypeScript in backend environments.
Familiarity with Large Language Models (LLMs) and AI infrastructure.
Experience building infrastructure for Data Science and Machine Learning.
Experience collaborating with BI developers and analysts to drive business value.
Expertise in administering and managing Databricks clusters.
Experience with streaming technologies such as Amazon Kinesis and Apache Kafka.

Requirements:
Proficiency in modern system architecture with large-scale and high performance.
Strong problem-solving skills, capable of meeting technical challenges head-on.
Proven ability to mentor junior developers, guiding them to reach their full potential.
A passion for learning, constantly staying up to date with industry trends and technology advancements.
Resourceful, self-motivated, and capable of working independently.
B.Sc in computer science or equivalent.
Fluent English.
Preferred Experience:
3+ years of experience with Python.
7+ years of back-end experience.
Deep understanding of web frameworks such as Django/Flask/FastApi.
Experience with OOP-oriented languages such as Java, Kotlin.
Experience with Docker, Kubernetes.
Experience with CI/CD pipelines.
Experience with SQL/NoSQL databases.
Understanding of AI, ML, and Deep Learning.
Experience with a microservices architecture.
Experience with AWS.
Experience in a fintech company is highly desirable.
Experience in risk management is highly desirable.

Requirements:
- 4+ years of experience in backend engineering, designing and developing distributed systems.
- Strong proficiency in Python, Java, or Go for backend development.
- Deep experience with cloud platforms (AWS, GCP, or Azure), including compute, storage, and networking services.
- Experience with containerization and orchestration (Docker, Kubernetes).
- Proficiency in designing and managing scalable databases (SQL & NoSQL: MySQL, PostgreSQL, Redis, Cassandra, etc.).
- Hands-on experience with CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and automated deployments.
-Familiarity with high-performance APIs and microservices architecture.
- Experience working with ML operations (MLOps) and data pipelines is a plus but not required.

Requirements:
A minimum of 3-4 years of experience in developing complex backend systems
At least 2-3 years proficiency in Python (production environment)
Experience in Docker
Proven track record in identifying and troubleshooting performance and scalability bottlenecks within a distributed ecosystem running hundreds of microservices
Experience with FastAPI or Django or Flask frameworks
Experience in high-level design
Demonstrated ability to produce high-performance, Testable, Maintainable, and Reusable code
Agile methodology practitioner
Experience in a Production SaaS environment
Strong command of Linux environments
Experience with at least 2 of these Data Bases - MySQL, ElasticSearch, MongoDB, Redis
Ability to learn quickly and independently
Advantages:
Experience in Kubernetes
Proficiency with cloud technologies and services, such as AWS (EC2, S3, Lambda, Streaming, EMR, EKS)
Experience in Networking/ Network Security Platform (WAF, DDOS, Load Balancers, FW devices)
Knowledge in the Cyber security field
Advanced CI and DevOps technologies Jenkins, Git, Helm
Our Tech Stack:
SaaS Web Application
AWS cloud
Kubernetes & Microservices architecture
Databases MySQL, ElasticSearch, Redis, MongoDB
Streaming Platform like Kafka
Monitoring tools Prometheus, Grafana, Kibana etc
& more.

Requirements:
Education & Experience:
Bachelor's degree in Computer Science, Engineering, or a related field.
Minimum of 5 years of software development experience.
At least 2 years in a leadership or team lead role.
Technical Skills:
Proficiency in Golang; experience with Ruby and Python is a plus.
Strong understanding of microservices architecture and AWS Kubernetes (k8s).
Experience with messaging systems like Kafka and RabbitMQ.
Familiarity with databases such as Amazon RDS, Elasticsearch, and caching technologies like Redis.
Knowledge of best practices in software development, including design patterns and testing.
Leadership & Management Skills:
Proven ability to manage the Scrum process and improve team performance.
Excellent planning, estimation, and tracking skills.
Strong mentorship capabilities with a focus on team growth and development.
Demonstrated ability to instill a customer-first mindset within the team.
Collaboration Skills:
Experience working collaboratively with multiple teams within R&D.
Strong communication skills to effectively coordinate cross-team projects.
Ability to build strong relationships with peers and stakeholders.
Soft Skills:
Excellent communication and interpersonal skills.
Problem-solving mindset with attention to detail.
Ability to thrive in a fast-paced, dynamic environment.

Requirements:
Must-Have Qualifications 10+ years of experience in software engineering, with at least 5+ years in architecture roles
* Deep understanding and experience with Kafka, PostgreSQL, MongoDB and Elastic Search.
* Proven experience designing and deploying production-grade systems on Kubernetes
* Strong proficiency in JAVA Python.NET Core, and.NET Framework
* Deep understanding of microservices, distributed systems, and integration patterns.
* Hands-on experience with CI/CD processes in cloud-native practices.
* Hands-on experience with CI/CD processes in On Prem OpenShift Environments.
* Strong communication and interpersonal skills must be able to collaborate effectively with both technical and non-technical stakeholders. And talk with our clients.
* Experience with hybrid environments (on-prem + cloud).
* Fluent in English written and spoken