דרושים » הנדסה » Backend Software Engineer

We are seeking an experienced Senior Backend Engineer with a passion for tackling complex challenges across a diverse range of technologies.
Your role will involve a deep commitment to software design, code quality, and performance optimization.
As part of our Engineering team , your mission will be to empower critical infrastructure by enabling the detection, investigation, and response to complex attacks and data breaches on their networks.
As a Senior Backend Engineer, you will take a lead role in developing the backend infrastructure to efficiently handle, process, and store massive volumes of data.
Your expertise will play a crucial part in building a scalable, high-performance backend system that serves as the foundation for other services within the platform. Additionally, you will be responsible for translating intricate requirements into meticulous and actionable backend designs.
Responsibilities:
Be a significant part of the development of backend infrastructure to efficiently handle, process, and store vast volumes of data.
Architect and build a scalable, high-performance backend system that supports various services within the platform.
Translate intricate requirements into meticulous backend design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement backend and data-handling techniques.
Apply your expertise in Core Linux, SQL, and scripting languages to create robust backend solutions. Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong backend engineering practices.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks within the backend system. Solve complex backend problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.

We are seeking a Senior DevOps Engineer to join our team.
As a DevOps Engineer and lead the effort in designing, building, deploying and maintaining our companys infrastructure, deployment pipelines, and continuous integration/delivery workflows.
You will work closely with development teams to ensure efficient and reliable software delivery, as well as identify and implement improvements to our systems and processes.
Responsibilities:
Design, implement, and maintain highly available and scalable infrastructure on cloud platforms such as AWS, Azure, or GCP.
Build and maintain deployment pipelines
Design and implement data pipelines to support various data processing needs across the organization.
Work closely with development teams to ensure code is deployed efficiently and reliably while maintaining high standards of security and performance.
Identify and implement improvements to our systems and processes, including automation and monitoring solutions.
Troubleshoot and resolve issues related to infrastructure and deployments.
Collaborate with cross-functional teams to ensure seamless integration of new features and technologies.

Deep Instinct, the first cyber security company to apply Deep Learning to cyber security is looking for a Senior DevOps Cloud Engineer. Deep instinct is an innovative start-up that has a unique and game-changing software solution to protect Fortune 500 End-Point users against Zero Day & APT cyber-attacks. This is an incredible opportunity to get in early at a Pre-IPO Cyber Security company that is poised to do huge things! We're on a mission to disrupt the cyber security market and the time is NOW! You will take part in Developing, maintaining, and optimizing our products and their production environments. Play a key role in designing our transformation from a single tenant service to a high scale multi-tenant HA cloud native solution. Influence and optimize our software delivery lifecycle, Infrastructure as code, container orchestration, artifact managers, monitoring, and more while working closely with development and research teams.

Office Location:
TLV Office

Region:
Israel

Responsibilities::
What kind of things we do? Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them. Collaborate closely with development teams to understand their current build and release processes and make recommendations for improvement. Partner with cross-functional stakeholders, including development, research, operations, quality assurance and security, to streamline processes. Provide guidance to development teams to improve performance and operability of the solutions they develop. Build and maintain the CI/CD pipelines to improve developer productivity, agility, and code quality. Develop and continuously improve automation solutions to enable teams to build, deploy and test code efficiently and consistently. Ensure that systems meet business and customer needs for reliability and availability. Monitor and manage application performance and service quality, including initial troubleshooting, identification of root cases and issue resolution. Work closely with cross-functional stakeholders to analyze and troubleshoot complex production issues.


Why Work With Us::
Deep Instinct , is the first cyber security company to apply Deep Learning as a platform. We are the only cyber security company harnessing the power of deep learning to prevent 99% of known and unknown attacks from malware and zero-day threats. Deep Instinct Prevention for Endpoints . Prevention of malicious files at the endpoint is critical. Deep Instinct prevents known, unknown, zero-day, and ransomware from executing on the endpoint Deep Instinct Prevention for Applications. is an agentless, on-demand, anti-malware solution for the enterprise that is device and system agnostic. With our unique, industry-leading deep learning ap

As a Senior Backend Developer in the Payments Team you will be an integral part of designing, developing, and maintaining mission-critical payment processing solutions. You will collaborate closely with cross-functional teams to ensure the seamless integration of payment technologies and the continuous improvement of the payment processing systems that drive our core business

Responsibilities
Involvement and ownership of all aspects of product development, from ideation through architecture to implementation, testing and continuous deployment
Work closely with developers, product managers, and other stakeholders to ensure smooth integration and delivery of features
Provide technical guidance and mentorship to developers, fostering their growth and helping them enhance their skills
Design and implement RESTful APIs to enable seamless integration with various internal and external systems
Optimize application performance, ensuring low latency, high availability, and reliability
Participate in design and code reviews and ensure adherence to coding standards
Conduct thorough testing of backend components, write automated tests, and ensure high code quality and reliability
Identify and address bottlenecks, bugs, and performance issues within the backend infrastructure.
Stay up-to-date with industry trends, emerging technologies, and best practices to continually improve the development process.
Contribute to the overall technical strategy and architecture of the product

You will design, develop, and optimize ML model pipelines, and scale our models from research to production.

RESPONSIBILITIES
Building and improving our engineering infrastructure to enable and scale our applied algorithmic research and development. On a day to day, some of your responsibilities will include:

Design, Develop, Test and Maintain ETLs and services for integrating with our customers various data systems.
Design, Develop, Test and Maintain ETLs and services for building our own data processes to accommodate applied research needs as well as production needs.
Finding performance bottlenecks in our data pipelines and our machine learning pipelines and resolving them
Develop end-to-end algorithmic solutions for complex ML problems from research and training models, through design, development, evaluation and optimization.
Develop train and inference engine pipelines in a large scale distributed system.
Transform NLP and data related ML/DL algorithmic approaches into efficient and optimized production-ready solutions.
Design, Implement and Optimize ML/DL and research pipelines to improve algorithms performance.
Transform high-level product requirements into technical requirements
Brainstorm and prototype algorithmic improvements.
Work in an ambiguous environment and collect requirements from different personas in the company (Product, FE, Research, etc.)
Advise and collaborate with researchers on DL software engineering aspects (such as tools and practices).

We are looking for a highly-technical leader with experience managing a distributed team and a solid understanding of several key technologies.


This is a Hybrid position open to candidates in the Israel area.

What You'll Do

Lead the IDP cloud SDET team and work with all the stakeholder teams to guarantee cloud software and deployment quality

Lead cloud test direction, test strategy, test design/development/execution and reporting

Hands-on design and development of test framework/tools and scripts to achieve test efficiency and productivity to ensure functionality, reliability, performance, scalability of cloud.

Work with other quality leaders to understand product quality and automation gaps and opportunities, customer engagement as it relates to quality, and continuously reviewing the impact of SDET work.

Support our cloud test platform as it relates to other test and pipeline activities

Hire, coach, and support engineers as needed.

Were looking for an experienced software engineer with strong knowledge of machine learning to join our growing Backend Engineering team
WHAT YOULL DO

Bring Machine Learning abilities to production, for AI-driven features in the platform.
End-to-end development of backend software components (research, design, development, testing, rollout, monitoring).
Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security.
Work closely with the Security Research and the Product teams.

We are looking for an exceptional Sr. Software Engineer to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield, cutting-edge and large-scale engineering and science projects, and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel.

Key job responsibilities
- Own architecture and feature development for our Personalization and CV/ML teams.
- Partner with other engineers to ideate, design, and build scalable solutions.
- Help with hiring, mentoring, and onboarding new hires.
- Utilize data science and ML to develop products that deliver great experiences for customers.
- Tackle complex technical challenges across the stack - from data pipelines to large scale services.
- Collaborate with product managers to influence decisions that deliver customer value.

We are seeking for a Senior Endpoint Engineer Tech Lead to join our team and lead the effort in Endpoint Sensor development.
As Technical Leader you will be heading the activity of designing, implementing, and maintaining our endpoint sensor (Agent) software offering across all supported operating systems, as well as their accompanying APIs, supporting ever growing scale and collecting data in highly challenging deployments.
You will work closely with other sensor and analysis teams to ensure efficient and reliable data flow, overcoming complexity and implementing highly requested customer features.
Responsibilities:
Lead other senior developers developing endpoint sensors, ensuring high coding standards (testing, maintainability), process adherence (sprint planning, documentation) and overall low footprint and high performance.
Design, implement, and maintain endpoint sensors on Windows, MacOS and several Linux distros, as well as their corresponding installation process and shared APIs.
Identify and implement improvements to our systems and processes, from business logic, through the addition of data sources to monitoring.
Troubleshoot and resolve issues related to sensor-endpoint deployment in various operating systems.
Work closely with other development teams to define APIs and Schema to ensure data reliability, availability, and correctness across the system.