דרושים » תוכנה » Senior Backend Engineer

Requirements:
Passionate team player with minimum 5 years of experience
Expertise with modern programming languages such as Python/C#/Java/Scala/Kotlin/TypeScript/JavaScript
Experience writing code in Agile, CI/CD-based environments
Experience working in a high-growth startup environment
Advantage: Experience working with Big data technologies such as Kafka/Spark/OpenSearch
Advantage: Experience working with Big data formats such as Parquet/Avro/Delta Lake/Iceberg
Experience working on large-scale services based on AWS/Azure/GCP

Requirements:
5+ years of experience as a Software Engineer
2+ years of experience in people management
Bachelors degree in Computer Science, Engineering, or a related field
Hands-on experience with modern programming languages: Python / JavaScript / C# / Java / Golang / Scala
Proven experience writing code in Agile and CI/CD-based environments
Experience with Generative AI (GenAI) technologies
Advantage: Experience working on large-scale cloud-based services
Advantage: Previous experience in companies with Security / Cybersecurity products
Flexibility and resilience in a dynamic environment
Strong leadership skills with a proven track record of leading and mentoring technical teams
Excellent problem-solving and analytical abilities
Positive, can-do attitude

Requirements:
5+ years of development experience as a software engineer.
Deep knowledge of object-oriented programming and other scripting languages: Java, Python, Scala C#, Go, Node.JS and C++.
Strong SQL skills and experience with relational and non-relational databases e.g. (Postgress/Trino/redshift/Mongo).
Experience with developing SAAS products over public cloud infrastructure - AWS/Azure/GCP.
Proven experience designing and developing distributed systems at scale.
Proficiency in queues, locks, scheduling, event-driven architecture, and workload distribution, along with a deep understanding of relational database and non-relational databases.
A deeper understanding of software development best practices and demonstrate leadership skills.
Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)
Desired Skills:
Technical expertise in Generative AI, particularly with RAG systems and Agentic workflows that use large language models.
Experience with Big-Data/ML and S3
Hands-on experience with Streaming technologies like Kafka
Experience with Elastic Search
Experience with Terraform, Kubernetes, Docker
Experience working in a high-paced and rapidly growing multinational organization

Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of experience in backend development, with a strong focus on infrastructure and platform engineering.
Proficiency in programming languages such as C#, Python, Java, or Go.
Experience building large-scale infrastructure applications or large-scale web applications.
Experience improving stability of large-scale systems using monitoring, solving bottle-necks and making appropriate changes.
High coding standards, working independently and experience leading long term tech tasks involving many teams and stakeholders.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and container orchestration tools like Kubernetes.
Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible).
Demonstrated experience in integrating and leveraging AI tools to enhance development workflows.

Requirements:
At least 3 years experience in Python / TS working with AI/ML frameworks
At least 5 years of backend experience with at least one additional programming language (Java / C# / Node.js / C++)
At least 3 years experience working with database solutions (RDBMS, NoSQL, Vector)
Proven experience with writing efficient and useful LLM prompts
Proven experience building LLM-based solutions and integrating them into products
Strong system and architecture design skills, particularly in designing LLM based systems
Experience or at least substantial knowledge of GenAI technologies such as agentic flows, RAG, model fine-tuning / distilling, prompt engineering, context engineering
Hands-on experience with cloud platforms and their AI/LLM services
Experience working on a SaaS product - Advantage
Experience working with customers and direct customers feedback - Advantage
Experience using observability / profiling / remote debugging tools - Advantage
Passionate about AI and up to date with industry trends - Advantage

Requirements:
4+ years of professional software development experience (The years are depending on the required seniority level).
Deep knowledge of object-oriented programming and experience with at least one object-oriented programming language (Java, Javascript, C++, C#, Ruby, Python).
Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax.
Proven experience in Database technologies such as SQL, PL/SQL, and relational database schema design.
Experience in automated testing including unit and functional testing using Java, JUnit, JUnit, and Selenium.
Excellent interpersonal skills.
Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).
Preferred Requirements:
Experience building highly scalable web applications.
High proficiency in at least one high-level programming language and web framework (NodeJS, React, Angular Express, Hapi, etc.).
Experience with Agile software development and test-driven development.
Track record of being a top performer in current and past roles.

Requirements:
Proven Backend Expertise: 5+ years of professional experience, with astrong foundation in building and maintaining robust backend systems for large-scale consumer or enterprise products.
Technical Mastery: Advanced proficiency in at least one modern backend language (TypeScript and Node.js), with hands-on experience developing production-grade APIs and microservices. Experience with Lambda functions is a big plus.
Scalable Systems Builder: Demonstrated experience architecting and delivering high-availability services and distributed systems, leveraging patterns for reliability, performance, and security.
Cloud-Native Engineering: Deep familiarity with cloud platforms (AWS, GCP, or Azure), including hands-on experience with serverless technologies (e.g., AWS Lambda), infrastructure-as-code, and automated deployment pipelines.
Data Fluency: Solid experience with both SQL and NoSQL databases; knowledge of vector databases and embedding/search technologies is a big plus.
AI Platform Integration: Experience integrating with modern AI services (OpenAI, Hugging Face, etc.), and enthusiasm for collaborating with ML/AI specialists to bring LLMs, RAG, and conversational AI capabilities into production.
Results-Oriented Delivery: A track record of shipping consumer-facing features at scale, collaborating closely with both product and engineering teams.
Forward-Thinking Problem Solver: Eager to explore new technologies, solving complex problems using both solid engineering fundamentals and innovative approaches.

Requirements:
Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
Minimum of 5 years of experience in software development, with a strong focus on cloud technologies.
Familiarity with at least one cloud platform (GCP, AWS, Azure).
Familiarity with Kubernetes is a big advantage.
Familiarity with networking concepts.
Proficient in Scala (Or alternatively Java, Kotlin), NodeJS (Typescript), Kubernetes, Docker, and data queue technologies (Kafka/RabbitMQ/SQS).
Understanding of microservices and jobs architecture.
Experience with data processing frameworks such as Flink, Spark is a big advantage.
Experience working on large-scale applications is an advantage.
Knowledge of cybersecurity principles and practices is a plus.

Requirements:
5+ years developing NodeJS-based server-side JavaScript/TypeScript applications with frameworks like Express or Nest
3+ years developing new user-facing features using React.js
Experience with relational and NoSQL databases (PostgreSQL, MongoDB, or similar);
Experience with microservice architecture and communication protocol between microservices
Experience with Amazon AWS cloud services, GCP
Knowledge of ORM (Sequelize, TypeORM, Mongoose), ability to write native SQL with subsequent manual optimization
Experience with event-driven software architecture and messaging queues such as SQS, Kafka, RabbitMQ
Good knowledge of modern software development techniques (unit/integration testing, CI/CD pipelines, etc.)
Design, build, and deploy NodeJS-based enterprise-level solutions and REST-based APIs for backend services
Ability to communicate designs effectively through flowcharts, sequence diagrams, and similar methods
Strong experience with complex system designs and large-scale traffic management
Familiarity with AI tools such as Copilot, Claude Code, etc.
Proficiency in English and working with cross-functional teams

Requirements:
8+ years of development experience as a software engineer.
Deep knowledge of object-oriented programming and other scripting languages: Java, Python, Scala C#, Go, Node.JS and C++.
Strong SQL skills and experience with relational and non-relational databases e.g. (Postgress/Trino/redshift/Mongo).
Experience with developing SAAS products over public cloud infrastructure - AWS/Azure/GCP.
Proven experience designing and developing distributed systems at scale.
Proficiency in queues, locks, scheduling, event-driven architecture, and workload distribution, along with a deep understanding of relational database and non-relational databases.
A deeper understanding of software development best practices and demonstrate leadership skills.
Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)
Desired Skills:
Technical expertise in Generative AI, particularly with RAG systems and Agentic workflows that use large language models.
Experience with Big-Data/ML and S3
Hands-on experience with Streaming technologies like Kafka
Experience with Elastic Search
Experience with Terraform, Kubernetes, Docker
Experience working in a high-paced and rapidly growing multinational organization