דרושים » תוכנה » Software Engineer

Develop and optimize a scalable infrastructure to support applications, leveraging various tools, technologies, and frameworks.
Own infrastructure features from design through to production, ensuring high standards for performance and reliability.
Engage with customers to understand infrastructure needs and design effective solutions to address them.
Collaborate on cross-functional initiatives with teams in DevOps, infrastructure, data engineering, and backend development to ensure seamless deployment, security, and operational efficiency across the ecosystem.

We are looking for a Senior Backend Engineer to join our AI/ML team. In this role, youll work closely with data scientists to transform cutting-edge machine learning models into scalable, production-ready services. You will take ownership of designing, building, and maintaining the backend systems that power our AI-driven features.

This is a key position that bridges the gap between data science and production engineering, ensuring high performance, reliability, and maintainability of our ML-powered products.

Responsibilities:
Collaborate with data scientists to understand modeling outputs and convert them into deployable services.
Design and develop robust, scalable backend systems and microservices to support AI use cases.
Own the deployment and monitoring of ML models in production (with CI/CD, logging, observability).
Implement data processing pipelines in support of model training and inference.
Ensure software adheres to best practices in architecture, testing, and documentation.
Optimize model inference for latency, throughput, and resource efficiency.
Contribute to design decisions and technical strategy alongside AI and infrastructure leads.

We are building our next-generation, cloud-based data pipeline and are looking for a strong backend software engineer. This engineer should be excited about building systems from scratch, love to take an active role, and be able to quickly dive into complex, large-scale environments and lead them.

By joining this team, you will, among other products, help develop the following products:

Network Discovery: A product that delivers full visibility into every device on a corporate network. Customers can manage any asset, including those not yet protected or supported by us, thanks to machine learning that automatically identifies all IoT devices.
Vulnerability Management: A platform module that enables customers to analyze and prioritize the vulnerabilities detected by our cybersecurity solutions on their endpoints.

What will you Do?
Own features end-to-end - Join a cross-disciplinary squad of backend and frontend engineers working alongside Windows, Linux, and macOS endpoint specialists - taking ideas from whiteboard to production.
Build customer-facing security insights - Design, implement, test, and deploy backend services that turn raw cybersecurity events into clear, actionable information.
Shape our platforms architecture - Lead the design of new modules across several strategic product lines, choosing patterns and technologies for scale, reliability, and performance.
See your impact - Your work directly improves how customers understand risk and respond, making it a visible part of key company initiatives.

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.

We are looking for a senior backend engineer to join our team.
As a Backend Engineer, youll get the chance to build a high-scale, performant, secure, and modern SaaS product serving thousands of businesses worldwide!

You will work with a highly professional team and have the opportunity to experience multiple technologies, from Java backends to serverless NodeJS applications, running on modern cloud infrastructure.

Each member of our Engineering team is an all-around player that influences the product from the overall experience to the details of development and architecture. You should be passionate about software engineering and creating and owning a product end-to-end; from inception to production, through design, architecture, implementation, verification, deployment and monitoring.

What will you do:
Collaborate with a team of sharp, impact-driven engineers to solve meaningful, complex challenges at scale.
Partner with product managers to ship high-performance, resilient backend systems and APIs that power core experiences.
Architect and build robust, customer-facing services and platformsend-to-endfrom scratch, using todays best tools and practices.
Own your code in production: continuously improve, optimize, and evolve the systems that drive our business.
Take full accountability for designing, implementing, testing, and deploying backend capabilities with a focus on quality and velocity.
Champion engineering excellenceset high standards, own what you build, and help level up the team around you.

We are looking for a talented highly-motivated experienced SW engineer to join one of its growing inspiring development teams.
You will work on multi-tenant, high-scale, distributed SaaS echo system on top of k8s platform which is used for managing the cloud security services infrastructure, customers' self-service configuration, monitoring and reporting, analytics and more.

As a SW engineer, you will manage and work with the different Engineering teams and architects in order to design, develop, monitor, scale and optimize the large-scale architecture of a winning SaaS security service.

What will you do?

Implement our implementation of next generation back-end infrastructure to help us scale our SaaS based infrastructure.

Be part of a team building tools to make our infrastructure scalable, and robust.

Leverage Generative AI tools for code generation, optimization, debugging, documentation, and prototyping.

Continuously research and integrate new AI-driven developer productivity tools.

Design and develop an always-available Cloud-based SaaS platform in AWS

Lead and Design the development of robust CI/CD pipelines for Kubernetes running Containerized applications

Design and build strong Application and System monitoring and automated self-healing procedures.

Maintain and support application deployments, building new systems and upgrading existing.

Working closely with all the Engineering and DevOps teams, taking full responsibility and ownership from conception to post-deployment in a collaborative, fast-paced environment.

We are seeking a talented Software Architect. This is a unique opportunity to work with US clients and engage in global projects, leveraging your extensive skills in generative AI tools.
As a pivotal member of our team, you will be responsible for translating complex business problems into data-driven solutions, drafting methodologies, and executing innovative projects.
Key Responsibilities:
Advanced Backend Development: Lead the development of scalable, secure, and maintainable backend systems using Python and frameworks like FastAPI.
System Design & Architecture: Architect robust backend solutions and design efficient RESTful APIs with asynchronous programming support.
Core Technical Strengths: Utilize deep knowledge of Object-Oriented Programming (OOP), asynchronous design patterns, and software engineering best practices.
DevOps & Containerization: Implement Docker for containerizing applications and Kubernetes for orchestrating microservices-based deployments in scalable, production-grade environments. Manage CI/CD pipelines and deployment automation.
Database Expertise: Design schemas, optimize queries, and manage data consistency across distributed systems using PostgreSQL and CosmosDB.
Quality Engineering & Testing: Write comprehensive unit tests, enforce code quality through peer reviews, and integrate test automation in CI workflows.
Technical Mentorship & Team Collaboration: Mentor junior developers, drive code quality, scalable design, and agile delivery. Collaborate effectively across DevOps, frontend, and product teams.
Agile Development & Ownership: Participate in sprint planning, backlog management, and stakeholder communication. Take full ownership of modules, ensuring timely and reliable delivery in Agile/Scrum environments.
Exposure to Agentic Flows: Leverage experience with agentic flows to enhance system performance and reliability.

A fast-growing, well-funded startup in the data domain is looking for a Software Development Team Lead to lead a team of engineers, reporting to the Director of Engineering. As a Software Development Team Lead, you’ll lead a team of back-end, full-stack, and data engineers, working closely with Product Managers and other stakeholders to plan, kickoff, and execute new product and feature development projects. Our ideal candidate is someone who values excellence, is hungry for success, and thrives when working with the best. Job Summary: As an Software Development Team Lead, you'll be responsible for overseeing the design, development, and implementation of robust software solutions, including strategic full-stack applications and our big data architecture. You'll lead a team of engineers and collaborate with cross-functional teams to drive initiatives that support business objectives. Your expertise in big data technologies, including Elastic, Kafka, and Java, will be critical in ensuring the scalability and performance of our systems. What you’ll do:
? Lead and mentor a team of engineers in the design and development of software solutions, including big data solutions and full-stack applications. ? Architect and implement data processing pipelines ? real-time data streaming. ? Optimize and manage search capabilities. ? Develop strategic full-stack applications to meet business needs. ? Collaborate with product managers, data analysts, and other stakeholders to gather requirements and translate them into technical specifications. ? Oversee code reviews, ensure best practices in coding and data handling, and maintain high-quality standards in software development. ? Stay up-to-date with emerging trends and technologies in software engineering and big data, and recommend improvements to our architecture and processes. ? Troubleshoot and resolve issues in a timely manner to minimize downtime and ensure system reliability. ? Contribute to strategic planning and decision-making regarding architecture and tools. ? Collect and analyze your team’s KPIs. ? Participate in customer calls, understand their use cases, and solve their problems. ? Collaborate with software teams across different locations.

We are seeking a talented Software Development Leader with a strong background in Large Language Models (LLM) and GenAI engineering.
This is a unique opportunity to work with US clients and engage in global projects, leveraging your extensive skills in generative AI tools.
As a pivotal member of our team, you will be responsible for translating complex business problems into data-driven solutions, drafting methodologies, and executing innovative projects. In this role you will:
Lead development of robust, efficient, and scalable Python code, ensuring adherence to best practices in software engineering and optimization for high-performance applications.
Utilize GenAI engineering tools such as LangChain, RAG, Agents, and Vector Database for implementation and optimization.
Stay updated with AI protocols and standards and ensure their correct application in projects.
Collaborate with other teams and team members to understand requirements and develop solutions.
Analyze complex problems, identify and define the computational requirements to solve them.

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll be more than just a coder - youll be the architect of our data ecosystem. Were looking for someone who can design scalable, future-proof data pipelines and connect the dots between DevOps, backend engineers, data scientists, and analysts.
Youll lead the design, build, and optimization of our data infrastructure, from real-time ingestion to supporting machine learning operations. Every choice you make will be data-driven and cost-conscious, ensuring efficiency and impact across the company.
Beyond engineering, youll be a strategic partner and problem-solver, sometimes diving into advanced analysis or data science tasks. Your work will directly shape how we deliver innovative solutions and support our growth at scale.
Responsibilities:
Design and Build Data Pipelines: Architect, build, and maintain our end-to-end data pipeline infrastructure to ensure it is scalable, reliable, and efficient.
Optimize Data Infrastructure: Manage and improve the performance and cost-effectiveness of our data systems, with a specific focus on optimizing pipelines and usage within our Snowflake data warehouse. This includes implementing FinOps best practices to monitor, analyze, and control our data-related cloud costs.
Enable Machine Learning Operations (MLOps): Develop the foundational infrastructure to streamline the deployment, management, and monitoring of our machine learning models.
Support Data Quality: Optimize ETL processes to handle large volumes of data while ensuring data quality and integrity across all our data sources.
Collaborate and Support: Work closely with data analysts and data scientists to support complex analysis, build robust data models, and contribute to the development of data governance policies.