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לפני 17 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Software Engineer in the team, you will contribute to the design, development, and operation of our comprehensive data fabric an enterprise-grade system that enables data-driven decision-making and high-impact product features across our company. You'll work closely with a cross-functional team of engineers, product managers, and data experts to build scalable data infrastructure and intelligent data management capabilities that power internal and external services. You will:
Drive the development of sophisticated and robust logic and backend infrastructure that supports large-scale data and compute workflows.
Collaborate across teams to design solutions that meet performance, reliability, and security requirements.
Contribute to the automation and optimization of engineering processes, improving deployment velocity and system health.
Participate in the full software development lifecycle, from ideation and design to deployment and monitoring.
Help shape engineering standards, technical architecture, and operational best practices within the team.
Requirements:
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering, or a related field from a leading university, or equivalent experience accepted in lieu of degree.
2+ years of professional software engineering experience.
Full proficiency in Python (Go advantage).
Experience with deploying and managing containerized applications using orchestration platforms (Kubernetes, Docker).
Experience with cloud infrastructure platforms (AWS - advantage) and with Linux environments.

Preferred Qualifications:
Experience with event-driven architecture and event processing services, including streaming platforms and message brokers (Kafka, Kinesis, RabbitMQ, Redis).
Experience in modern ETL/ELT frameworks (Airflow, Spark, dbt, Snowflake, AWS Glue) for building scalable data pipelines. Hands-on experience with monitoring tools (Prometheus, Grafana, Datadog), observability platforms (Elasticsearch, Logstash, Kibana, Splunk), and data management systems (OpenMetadata, Datahub, Great Expectations).
Hands-on experience in version control (Git) and CI/CD pipelines (Github Actions, Jenkins) for deploying and maintaining data infrastructure.
Strong advantage - Familiarity with Large Language Models (LLMs) and AI/ML integration in data systems, including familiarity with vector databases model embeddings.
This position is open to all candidates.
 
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לפני 23 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior ML Engineer.
As a Senior ML Engineer , you will lead the design, deployment, and maintenance of production-ready machine learning systems that power legal insights at scale. Youll work across disciplinesintegrating LLMs, building pipelines, and optimizing infrastructureto deliver real-world impact.
Youll gain full ownership over the systems you build, from selecting the tools and platforms to deploying services in production. Youll work closely with DevOps and Data Engineering to ship robust solutions that drive meaningful change in the world.
Responsibilities :
Design and implement production-grade ML systems, including APIs, batch jobs, and streaming pipelines using Databricks, MLflow, AWS/GCP.
Build and manage ML infrastructure, including data pipelines, model training, deployment, and monitoring.
Develop and maintain end-to-end ML/LLM pipelinesfrom data ingestion and labeling to synthetic data generation, model registry, and rollout.
Own and improve MLOps practices: automated testing, CI/CD, monitoring, alerting, and model governance.
Write clean, maintainable Python code and uphold best practices in engineering and documentation.
Collaborate with DevOps and Data Engineering teams to scale systems and improve performance.
Research and recommend the best tools, platforms, and practices to support ML at scale.
Requirements:
BSc in Computer Science or a related field.
6+ years of experience building and deploying ML systems in production environments.
Proficiency in Python and production frameworks like FastAPI, Databricks, SageMaker, and MLflow.
Proven track record in deploying and maintaining ML/LLM services (APIs, microservices, serverless, or containerized).
Strong understanding of software engineering fundamentals: object-oriented design, testing, version control, CI/CD, and performance optimization.
Experience working with agentic workflows or LLM-based agents.
Ability to work independently and break down complex, ambiguous problems into structured solutions.
Strong communication skillsable to explain technical concepts to both technical and non-technical stakeholders.
Advantages:
Hands-on experience with Kubernetes, Airflow, Spark, ArgoCD, and Docker.
Experience working with databases such as Elasticsearch, vector databases, PostgreSQL, and SQL.
Experience fine-tuning or integrating open-source LLMs in production environments (e.g., RAG, LoRA, agent frameworks).
Contributions to open-source ML or MLOps projects.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Key Responsibilities
Software Development: Design, develop, test, and maintain robust, scalable, and high-quality software applications.
System Architecture: Contribute to architectural decisions, ensuring efficient system design and implementation.
Data Engineering & Analytics: Design and optimize data pipelines, integrating structured and unstructured data sources into data lakes.
Code Quality & Best Practices: Write clean, maintainable, and well-documented code while enforcing coding standards and best practices (SOLID principles, TDD, CI/CD).
Performance Optimization: Identify bottlenecks and optimize application performance, scalability, and security.
Mentorship & Leadership: Mentor junior developers, conduct code reviews, and promote knowledge sharing within the team.
Cross-Functional Collaboration: Work closely with product managers, designers, DevOps, and QA teams to deliver high-quality software solutions.
Problem-Solving: Troubleshoot and resolve complex technical issues across different components of the software stack.
Agile Development: Participate in Agile methodologies, including sprint planning, daily stand-ups, and retrospectives.
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).
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Cyberint, a market leader in External Risk Management, empowers global organizations to detect, respond, and remediate external threats efficiently. Now part of our company, Cyberint continues to grow and innovate at the intersection of cybersecurity and cloud-native SaaS technologies.
We are seeking a proactive and experienced Backend Engineer to join our global organization. This critical role will oversee the enforcement of feature and release cycles, drive best practices within the R&D team, manage incidents, and provide ownership for key deliverables. The ideal candidate will have a strong background in project management, process optimization, and the ability to bridge strategic goals with execution.
Your Role and Impact
As a pivotal member of our team, you will drive Cyberint toward its ambitious engineering goals, collaborating extensively across the organization with teams from Product Development to Security Research and Analysts. Your role will span the full software development lifecycle, encompassing design, architecture, and production deployment. This position demands a blend of robust development skills and technical problem-solving prowess.
Key Responsibilities
Your Role and Impact
As a pivotal member of our team, you will drive Cyberint toward its ambitious engineering goals, collaborating extensively across the organization with teams from Product Development to Security Research and Analysts. Your role will span the full software development lifecycle, encompassing design, architecture, and production deployment. This position demands a blend of robust development skills and technical problem-solving prowess.
Key Responsibilities
Spearhead end-to-end development of software components, from initial design through to architecture and production deployment.
Collaborate closely with cross-functional teams, including Product Managers, Security Researchers, and Analysts, to achieve seamless integration and alignment with company objectives.
Employ state-of-the-art technologies to enhance our Threat Intelligence solutions, ensuring scalability, reliability, and effectiveness.
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.
This position is open to all candidates.
 
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2 ימים
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
As a Big Data & GenAI Engineering Lead within our company's Data & AI Department, you will play a pivotal role in building the data and AI backbone that empowers product innovation and intelligent business decisions. You will lead the design and implementation of our companys next-generation lakehouse architecture, real-time data infrastructure, and GenAI-enriched solutions, helping drive automation, insights, and personalization at scale. In this role, you will architect and optimize our modern data platform while also integrating and operationalizing Generative AI models to support go-to-market use cases. This includes embedding LLMs and vector search into core data workflows, establishing secure and scalable RAG pipelines, and partnering cross-functionally to deliver impactful AI applications.
As a Big Data & GenAI Engineering Lead in our company you will...
Design, lead, and evolve our companys petabyte-scale Lakehouse and modern data platform to meet performance, scalability, privacy, and extensibility goals.
Architect and implement GenAI-powered data solutions, including retrieval-augmented generation (RAG), semantic search, and LLM orchestration frameworks tailored to business and developer use cases.
Partner with product, engineering, and business stakeholders to identify and develop AI-first use cases, such as intelligent assistants, code insights, anomaly detection, and generative reporting.
Integrate open-source and commercial LLMs securely into data products using frameworks such as LangChain, or similar, to augment AI capabilities into data products.
Collaborate closely with engineering teams to drive instrumentation, telemetry capture, and high-quality data pipelines that feed both analytics and GenAI applications.
Provide technical leadership and mentorship to a cross-functional team of data and ML engineers, ensuring adherence to best practices in data and AI engineering.
Lead tool evaluation, architectural PoCs, and decisions on foundational AI/ML tooling (e.g., vector databases, feature stores, orchestration platforms).
Foster platform adoption through enablement resources, shared assets, and developer-facing APIs and SDKs for accessing GenAI capabilities.
Requirements:
8+ years of experience in data engineering, software engineering, or MLOps, with hands-on leadership in designing modern data platforms and distributed systems.
Proven experience implementing GenAI applications or infrastructure (e.g., building RAG pipelines, vector search, or custom LLM integrations).
Deep understanding of big data technologies (Kafka, Spark, Iceberg, Presto, Airflow) and cloud-native data stacks (e.g., AWS, GCP, or Azure).
Proficiency in Python and experience with GenAI frameworks like LangChain, LlamaIndex, or similar.
Familiarity with modern ML toolchains and model lifecycle management (e.g., MLflow, SageMaker, Vertex AI).
Experience deploying scalable and secure AI solutions with proper attention to privacy, hallucination risk, cost management, and model drift.
Ability to operate in ambiguity, lead complex projects across functions, and translate abstract goals into deliverable solutions.
Excellent communication and collaboration skills, with a passion for pushing boundaries in both data and AI domains.
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for an experienced Technology Architect / Technical Leader to drive the design, scalability, and evolution of our Harmony SaaS security platform. You will play a pivotal role in shaping our SaaS cloud security architecture and capabilities to protect organizations from emerging threats in real-time. This is a strategic, cross-functional, and hands-on position, suitable for a builder who thrives on ownership and technical depth.
Key Responsibilities
Architect and drive end-to-end design of large-scale, secure, and high-performance SaaS systems for cloud security, detection, and response.
Lead cross-functional projects across data, detection, and platform teams to deliver end-to-end features and capabilities.
Collaborate closely with Product Managers, Engineering Managers, and UX Designers to translate business requirements into scalable solutions.
Mentor engineers and guide the technology roadmap for the Harmony SaaS product.
Ensure operational excellence and full lifecycle ownership: design, implementation, deployment, observability, and continuous improvement.
Contribute to codebases where needed to unlock complex or foundational technical challenges.
Set architectural and technical standards for data pipelines, microservices, and cloud infrastructure.
Bring technical leadership and innovation to areas such as:
High-scale detection engines and analytics
Cloud-native threat protection
Real-time event streaming and processing
Unified SaaS security policies and visibility.
Requirements:
10+ years of experience in software engineering, including significant hands-on coding in Python and/or Golang.
5+ years in technical leadership or architecture roles in cloud security or large-scale SaaS environments.
Experience with cloud platforms
Deep understanding of data infrastructure, real-time processing pipelines (Kafka, streaming), and microservices.
Proven experience leading cross-team projects and aligning engineering execution with strategic goals.
Familiarity with Terraform, Docker, Kubernetes, and modern DevOps practices.
Strong belief in you build it, you own it with operational accountability.
Passion for working hands-on and mentoring teams.
Advantages
Prior experience working in a security-focused company
Exposure to cloud detection & response mechanisms and incident workflows.
Experience with hybrid data systems (SQL/NoSQL/Redis/SingleStore).
Background in working in Agile squads with Product/UX collaboration.
This position is open to all candidates.
 
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22/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
A leading omnichannel marketing platform that leverages advanced AI and machine learning to deliver intelligent solutions based on data with performance media, enabling smarter decision-making, increased efficiency, and maximized returns - Revenue enabler for businesses around the world. Its partners include Google, Meta, Amazon, and Microsoft and more. ~$7 billion in ad spending is managed on the platform every year.
Established in 2006, Were 700 employees strong. We work hybrid with a great home/ office work mix.

What will you do?
As a Java Software Engineer at Kenshoo , youll take part in building scalable, high-performance systems that power some of the largest digital marketing platforms in the world. Youll be responsible for developing end-to-end features from database design and backend services to client-facing components all while working with cutting-edge technologies and handling real-world scale. Youll collaborate closely with Product Managers, fellow engineers, and cross-functional teams to shape product direction and deliver high-quality solutions. As part of a strong, experienced team, youll contribute to architectural decisions, mentor others, and continuously push the boundaries of what our platform can do.

Responsibilities:
Design and implement end-to-end features and products, spanning from backend (including databases) to client-facing components
Tackle complex and large-scale technical challenges in cutting-edge, high-performance systems
Collaborate closely with Product Managers and fellow Engineers to deliver high-quality, impactful solutions
Provide technical mentorship and support to team members, fostering a culture of learning and growth
Analyze and optimize the performance, scalability, and reliability of Kenshoo products, infrastructure, and internal tools
Stay up-to-date with emerging technologies and propose innovative ideas to continuously enhance our product offerings
Requirements:
At least 3 years of hands-on Java experience
Deep understanding of object-oriented design
Strong Server-Side Skills
Experience with large-scale production databases
Familiar with microservices and CI/CD
B.Sc. in computer science or a similar degree
A get-things-done approach
Experience working on a data-intensive product, strong analytical thinking, systematic problem-solving skills.
Preferred:
AWS, Kafka, Docker, Airflow, Snowflake, MySQL, Single Store - a Strong Advantage.
Experience in React/fullstack development
Experience in a Big Data development role
Experience in developing SaaS products & platforms
GenAI experience
This position is open to all candidates.
 
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לפני 22 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced MLE Team Lead to lead our Machine Learning Engineering team as part of the Infrastructure group. AI/ML are core components of Navina unique technology, and a significant part of our technical edge. This is a unique opportunity to take a leadership role in building the infrastructure that powers the models driving Navinas products.

Youll lead a team of ML engineers in designing scalable production systems, collaborating with cross-functional stakeholders, and mentoring team members as we scale our ML platform and capabilities.

Responsibilities:
Provide technical leadership and team management for the Machine Learning Engineering team, including mentoring team members, and encourage ongoing personal and professional growth.
Define and drive the roadmap for ML infrastructure in collaboration with other technical leaders and data science team, ensuring alignment with broader engineering and organizational goals.
Remain actively involved in the architecture and development of systems that enable scalable and reliable model training, deployment, serving, and monitoring.
Own the engineering aspects of the ML lifecycle, including the design of efficient production-grade deployment mechanisms, robust observability and maintenance practices.
Work closely with data science, product, medical, and dev teams to understand evolving needs and deliver infrastructure and tooling that improve development velocity and model reliability.
Continuously evaluate emerging tools and best practices in ML infrastructure and thoughtfully integrate relevant technologies to strengthen the teams capabilities.
Requirements:
Requirements:
5+ years of hands-on experience in software engineering, with at least 2 years in a managerial role.
Experience leading technical teams and delivering complex projects, from concept to production.
Strong background in building systems to support production machine learning workflows.
Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar.
Experience with large scale, high performance, production environments.
Strong interpersonal and communication skills, with experience collaborating across teams.
Experience in a cloud environment (preferably AWS).
Bs.c / Ms.c in Computer Science / Software Engineering.

Advantages:
Experience with Deep Learning, NLP and LLM pipelines (RAG and agentic systems).
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, automation, and scalable AI platforms.
If youre an innovator at heart, passionate about leveraging AI to solve complex problems, and thrive in an environment where experimentation and entrepreneurship are encouragedthis role is for you.
Responsibilities:
 Develop and integrate AI-powered solutions to enhance engineering productivity, automate workflows, and improve developer efficiency.
Evaluate and implement state-of-the-art AI platforms (ChatGPT, Claude, Gemini, custom models) to solve engineering and operational challenges.
Design and maintain AI-driven internal platforms such as knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Work alongside engineering, DevOps, and product teams to embed AI into everyday development workflows.
Lead Proof-of-Concept (PoC) projects, experimenting with LLMs, generative AI, and automation frameworks to create tangible business impact.
Stay ahead of emerging AI trends, researching and implementing cutting-edge AI models and tools.
Build scalable AI infrastructure that integrates with cloud environments (AWS, GCP, Azure) and engineering toolchains.
Promote a culture of innovation, empowering teams to embrace AI-driven solutions and fostering AI adoption across the organization.
Requirements:
Must:
BSc in Computer Science or related degree, or equivalent practical experience.
4+ years of hands-on experience as a software Engineer
Strong proficiency in Python and experience with AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
Experience with AI APIs (OpenAI, Anthropic, Google AI, Microsoft AI) and integrating them into engineering workflows
Hands-on experience with developer productivity tools, AI-enhanced automation, and knowledge management systems
Strong problem-solving skills and ability to build AI-powered solutions that engineers love to use.
Nice to Have:
Deep understanding of LLMs, RAG (Retrieval-Augmented Generation), fine-tuning, and prompt engineering.
Experience with data pipelines, embeddings, and vector databases for AI-powered search and automation.
Experience working with cloud-based AI platforms and scalable AI architectures
Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for deploying AI applications.
Experience with AI Ops, observability tools, and monitoring AI applications in production.
Familiarity with LangChain, AutoML, MLOps frameworks, and workflow automation tools.
A background in software engineering, DevOps, or developer tooling.
Strong entrepreneurial mindset, able to identify opportunities, move fast, and drive AI adoption in a high-impact environment.
Published research, open-source contributions, or side projects demonstrating innovative AI applications.
Why Join Us?
This role is for builders, problem-solvers, and AI enthusiasts who want to push the boundaries of engineering productivity with AI. Youll be at the forefront of AI-powered platform engineering, shaping how our company leverages AI to supercharge innovation, efficiency, and automation.
If youre looking to build game-changing AI platforms, experiment with cutting-edge tech, and make a real impactjoin us!
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8258471
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תיאור
שליחה
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
לפני 22 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.

The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.

Responsibilities:
Take ownership of the entire machine learning engineering lifecycle from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.
Requirements:
Requirements:
4+ years of hands-on experience in software engineering (Backend preferably in Python).
2+ years of experience in machine learning pipelines on cloud environments.
Knowledge in statistics and machine learning techniques.
Proven ability to lead product feature development, from concept to production.
Experience with large scale, high performance, production environments.
Experience working with SQL and NoSQL databases.
Experience in AWS cloud environment.


Advantages:
Bs.c / Ms.c in Computer Science / Software Engineering.
Experience with ML Frameworks such as PyTorch, TensorFlow and MLFlow.
Experience with Deep Learning, NLP and LLM pipelines (RAG and agentic systems).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8259763
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a As a Software Developer you will be responsible to:
Play a key role in designing and implementing infrastructure solutions to support our development and deployment processes.This role requires a versatile individual with strong technical skills, an out-of-the-box thinker, and a passion for solving challenging problems in cloud-based environments.
Key Responsibilities:
Develop, maintain, and optimize Python-based services and tools for cloud platforms (AWS preferred).
Design and implement scalable and secure infrastructure solutions, leveraging modern cloud technologies.
Build and maintain APIs, microservices, and server-side applications using Python frameworks
Collaborate with cross-functional teams to integrate CI/CD pipelines and improve deployment efficiency.
Troubleshoot and resolve technical bottlenecks in cloud-based systems.
Contribute to system architecture design and ensure best practices are followed.
Stay up-to-date with emerging technologies and trends to continuously improve development and deployment processes.
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.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8246144
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שירות זה פתוח ללקוחות VIP בלבד