דרושים » תוכנה » Senior Big Data Developer

XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XM Cyber platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems. As a Senior Backend engineer with Spark experience at XM Cyber, you'll be responsible for implementing core features, building infrastructure, and finding innovative solutions while getting into the language internals. We're looking for top talents who are ready to level up their skills in an exciting and fast-paced environment. You will be responsible for leading features and products end to end, from design to production; build and develop modules, data pipelines, and services.

As a Senior Backend engineer you'll be responsible for implementing core features, building infrastructure, and finding innovative solutions while getting into the language internals. We're looking for top talents who are ready to level up their skills in an exciting and fast-paced environment.

You will be responsible for leading features and products end to end, from design to production; build and develop modules, data pipelines, and services.

As a Team Leader In the Platform group, you'll be responsible for leading a squad of 6-7 talented engineers. You will be responsible for leading features and products end to end, from design to production. The team will build and develop modules, data pipelines, services and application screens.

We're looking for top talents who are ready to level up their skills in an exciting and fast-paced environment.

We are looking for a Backend Software Engineer - Senior/Lead. JR245034
As a Backend Software Engineering, your job responsibilities will include:
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level).

We are searching for an innovative and experienced Senior Big Data Engineer that will join us and be part of our big data group.
As a Senior Big Data Engineer, you will:
Lead the architecture and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions.
Derive policies for data storage and versioning over peta-bytes scale complex storage solutions of multiple data lakes.
Design and develop smart ML infrastructure in order to build Agile ML processes (MLOps).
Work with Data Scientists to understand needs and design ML infrastructure solutions
Be a part of a collaborative heterogeneous data team which includes developers, data scientists, data engineers, MLOps and data scouts.

The infrastructure group is responsible for designing, implementing, and maintaining the core application infrastructure that supports the company's products and services.
This infrastructure may include components such as APIs, libraries, and frameworks that are used by the developers to build and deploy applications.
As part of the infrastructure group you will have the opportunity to work on critical components that will be used across all teams within the company, work on challenging and complex problems while constantly learning and growing as a developer.
As well as collaborate with a diverse team of skilled developers and contribute to the success of the company as a whole.
We are seeking a highly skilled and motivated Infrastructure Backend Software Engineer to join our dynamic team.
As an Infrastructure Backend Software Engineer, you will play a crucial role in designing, developing, and maintaining the backend systems that power our infrastructure.
You will collaborate with cross-functional teams to architect scalable solutions, ensure system reliability, and optimize performance.
Your expertise in software engineering, distributed systems, and infrastructure will contribute to the success of our organization.

We're looking for a Senior Full Stack Developer who lives and breathes software development to join our R&D team.
In this role, you'll be responsible for designing, developing, and maintaining our web applications. You'll work closely with our product managers, designers, and other engineers to build innovative applications with great user experience.
If you are a critical-thinking, open-source lover, and technology enthusiast, your place is with us.
As a Senior Full Stack Developer, you will:
Be responsible for the end-to-end development of our product as a feature owner.
Develop our architecture to support our ever-growing scale.
Leading broad processes and key features while leveraging data.

We are looking for a Senior Backend Developer who is passionate about web and product, eager to solve complex problems and dreams of working with the BEST team.
You will join us in the journey of building an amazing product in the online user experience realm, and as a team member, your contribution will go beyond coding, as you will have a direct impact on the way we steer this ship on its crazy journey.
We are looking for people who look at the world differently, people who are passionate about code, clean design, high performance and leading technology to the extreme.
If you are passionate about developing an innovative product, making an impact, and strive to work with the industrys brightest talent as part of one of the fastest growing and successful startups around we are where you want to be!
What will you actually be doing?
A technical focal point for software development best practices and design of main components, services and systems
Work very closely with the business, dealing with 30% of Fortune 500 companies
Develop code that is used daily by millions of users
Investigate, implement and share new technologies and ideas.
End to end development of features and systems that are used daily by key stakeholders, both internally and externally.
Contribute to challenging server-side development with microservices architecture, using the industry's latest trends

We are looking for a talented, passionate and experienced Senior Backend Engineer to join us! The perfect candidate will have a strong background in building and maintaining scalable distributed systems, an unwavering commitment to quality, a collaborative work ethic and cutting-edge coding skills.



Main Responsibilities:

Guide, design and implement key software components in flagship product
Build and maintain a highly performant system responsible for handling terabytes of data per day
Drive product and technical innovation, as well as software development best practices
Mentor and learn from other engineers

As a Senior Data Engineer at CodeValue, you'll play a crucial role in our data team, contributing to the development and maintenance of scalable data pipelines and systems. You'll be at the forefront of designing, implementing, and optimizing data solutions that drive our business objectives and empower data-driven decision-making processes. Collaboration with data analysts, data scientists, and other stakeholders will be essential to ensure data integrity, reliability, and accessibility. Responsibilities:
* Design, develop, and optimize data pipelines and architectures using a variety of technologies and tools including Python, SQL, Spark, Kafka, and Airflow.
* Develop efficient data models to facilitate storage, retrieval, and processing, with a focus on schema design for NoSQL databases, data lakes, and data warehouses.
* Ensure scalability of big data architecture to handle large data volumes and high traffic loads.
* Implement data quality checks, validation processes, and data governance measures to ensure accuracy and consistency of data.
* Monitor, troubleshoot, and debug data issues and performance bottlenecks.
* Implement security measures such as encryption, access controls, and data masking to protect sensitive data.
* Research and evaluate new data technologies and best practices to enhance data engineering processes and solutions.

Top Profiles:
Top Profiles