דרושים » תוכנה » Software Developer

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:
Bachelors degree in Computer Science, Engineering, or related field.
At least 7 years of proven experience in backend development, with a strong focus on JavaScript environments such as Node.js.
Extensive expertise in cloud services (GCP, AWS), focusing on backend services like databases, compute services, and API management.
Practical experience with Docker, Kubernetes, and creating scalable containerized applications.
Proficient in implementing monitoring tools and strategies for applications and infrastructure.
Skilled in optimizing cloud services and resources for cost efficiency and performance.
Strong proficiency in database technologies (SQL and NoSQL) and understanding of data management fundamentals.
Experience in supporting OLAP workflows by building scalable, maintainable, and performant backend systems.
Advantageous Skills
Experience in DevOps practices, including automation of infrastructure provisioning, server configuration, and application deployment.
Familiarity in network management, security protocols, and data protection.
Contributions to open-source projects.

Requirements:
5+ years of experience in server-side development using Java, Python, Go, or .NET.
Strong background in microservices architecture and related tools (Docker, Kubernetes, etc.).
Hands-on experience with large-scale applications, handling high data volumes and intensive traffic.
Proficiency with various database technologies such as MySQL, Cassandra, Neo4J, Google BigQuery, Amazon Redshift, Elasticsearch, and PostgreSQL.
Solid understanding of message queuing, stream processing, and scalable big data storage solutions.
Experience in building and optimizing data pipelines and analytics workflows.
Familiarity with streaming technologies such as Amazon Kinesis and Apache Kafka.
Proven ability to bootstrap projects and develop systems from the ground up.
Strong ownership and leadership skills, with a track record of driving initiatives forward.
Advantages:
Experience in cybersecurity.
Hands-on expertise in Go development.
Familiarity with graph databases and data modeling.
Experience with data warehouse technologies like Snowflake and Databricks.
Knowledge of Big Data ecosystems, including Hive, Hadoop, or Spark.
Background in startup or small-company environments, thriving in fast-paced, dynamic settings.

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:
10+ years of hands-on experience in backend development, with deep expertise in Java / TypeScript / Python and a strong grasp of software engineering best practices.
A proven track record of leading the design and implementation of complex, scalable, and high-performance systems in production environments.
Architectural experienceyouve made critical design decisions, defined technical direction, and guided teams through system evolution.
Strong understanding of distributed systems, RESTful APIs, databases, message queues, multi-tenancy, and cloud-native computing.
Experience building and evolving microservices-based architectures, ideally deployed in Kubernetes or similar container orchestration platforms.
A collaborative, communicative approachyoure comfortable influencing across teams, mentoring engineers, and driving alignment.
A proactive, ownership-driven attitudeyou seek out opportunities, solve problems before they escalate, and take initiative to improve systems and processes.
Advantages:
Experience with GenAI implementations, LLM integrations, Vector Databases (e.g., Mongo Atlas Search, Elastic Search), and embedding-based search.
Background in Cybersecurity, data privacy, or compliance-related domains, especially with experience designing secure-by-default systems.
Experience evaluating and integrating third-party APIs, SDKs, or cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI).

Requirements:
Experienced Software Engineer: 4+ years of experience in software engineering, with a proven ability to design and develop high-performance distributed systems. Bachelors degree in Mathematics, Statistics, Computer Science, or a related field.
Your Playground: Proficient in at least one scripting language such as Python or Java, with 3+ years of experience. Passionate about new technologies and data, with a basic background in AI considered a plus. Experience as a data engineer (e.g., Spark, Snowflake) is advantageous.
Cloud & Infrastructure Expert: Demonstrated experience working with cloud environments such as AWS, GCP, or Azure. Experience with build systems and CI/CD tools (e.g., Jenkins, TeamCity). Skilled in containerized environments using Kubernetes and familiar with message queuing systems like SQS or Kafka.
Database & Data-Driven: Experience with message queuing systems (SQS/Kafka). Familiarity with SQL, NoSQL, and analytics databases.
Continuous Integration & Quality Advocate: Demonstrates attention to detail and a strong commitment to delivering high-quality work.
Collaborative Leader & Communicator: Strong collaboration, communication, and leadership skills, both English and Hebrew

Requirements:
6+ years of backend engineering experience, ideally with a focus on infrastructure development
Proficiency in Python, with deep knowledge of its ecosystems and best practices
Experience with FastAPI, SQLAlchemy, Alembic and RDS an advantage
Bachelors degree in Computer Science, Engineering, or equivalent experience
Experience in designing, implementing, and maintaining scalable, reliable infrastructure in production environments
Strong understanding of cloud platforms (AWS preferred)
Proficiency with containerization technologies like Docker and Kubernetes
Strong analytical skills with a proven ability to diagnose and resolve complex technical issues swiftly
Ability to conduct research, evaluate new technologies, and integrate them with existing codebases
Excellent communication and collaboration skills, experience working effectively in agile
Highly organized, proactive, and able to manage work independently

Requirements:
5+ years of professional experience as a Full Stack Engineer, with a focus on backend development.
Strong proficiency with Node.jsa must.
Proven experience in designing, building, and maintaining complex systems at scale - a must.
Experience with ReactJS or React Nativean advantage.
Solid understanding of algorithms, logic design, and system optimization.
Expertise with relational and non-relational databases (e.g., PostgreSQL, MongoDB).
Familiarity with cloud-based infrastructure (e.g., AWS, Docker, Kubernetes)an advantage.
Strong collaborative skills, a proactive mindset, and a passion for creating impactful, user-centric solutions.
A degree in Computer Science or a related field, or equivalent practical experience.

Requirements:
5+ years of experience with server-side coding in Java, Python, Go, or .NET.
Experience with microservices architecture and tools (docker, k8s, etc.).
Experience with large-scale applications with large data volumes and intensive traffic.
Experience with NoSQL databases.
Experience with bootstrapping projects and building systems from scratch.
Proven ownership and leadership skills.
Advantages:
Experience in the cybersecurity realm.
Experience with Go development.
Experience with graph databases and data modeling.
Good knowledge of networking protocols, flows, etc.
Experience working in a startup or small company environment.

Requirements:
Minimum of 5-6 years of professional experience in backend development, with a strong proficiency in Node.js and TypeScript.
Experience working with backend frameworks such as Nest.js or similar frameworks.
Solid understanding of relational databases and experience with PostgreSQL or similar database technologies.
Familiarity with CI/CD pipelines, version control systems (e.g., Git), and agile development methodologies.
Bachelors degree in Computer Science, Engineering, or related field (or equivalent work experience).
Excellent problem-solving skills and ability to troubleshoot complex issues in a fast-paced environment.
Strong communication and collaboration skills to work effectively within a multidisciplinary team.