דרושים » הנדסה » Senior Engineer, Brain Team

As a Backend Engineer at Bigabid, you will take on exciting challenges, including researching new algorithms and probability models, developing systems from scratch, and working in a fast-paced real-time environment. You will also build services that leverage real-time buying data to dynamically optimize campaign configurations, ensuring we achieve the most effective outcomes for our clients.

Collaboration is key in this role. You will work closely with data science and product team, requiring both technical expertise and a deep understanding of the domain. In addition, you will integrate with 3rd-party platforms.

Responsibilities:
Design, code, and manage large-scale, highly available, real-time (low latency) services using cutting-edge technologies (Python, Node.js, Redis, Docker, built on AWS infrastructure).
Work with stakeholders including the Executive, Product, Data, and Design teams to craft the most optimal solutions for our problems.
Design and develop APIs or integrate with 3rd party APIs.
Performing code reviews with other team members.
Assist in-house teams and supply creative solutions for various problems
Understand and implement security and data protection needs.

Our Data Platform Team Lead will drive innovation and build scalable data infrastructure that influences the heart health of thousands of users. In this role, you will manage a team of 4 senior data engineers & BI developers responsible for the end-to-end development of data product. You will work in close collaboration with other cross-functional teams, including analysts, data scientists, and engineers, to deliver high-quality solutions that drive data insights and business intelligence at scale. As team lead, you will guide and mentor your team ensuring they grow their skills and deliver impactful solutions. Your leadership will be critical in driving team productivity, technical excellence, and fostering an innovative culure.
Our Technologies stack: Python, Spark, Airflow, DBT, Kafka, AWS (Glue, EMR, S3, Athena and more), Docker, Kubernetes, MongoDB, Redis, Postgres, Elasticsearch, and more.
Responsibilities:
Leadership & Team Management: Lead, mentor, and manage a team of 5 senior data engineers. Foster a culture of collaboration, continuous improvement, and technical excellence.
Data Pipeline Development: Oversee the development and optimization of data pipelines and architectures to support our data flows. Ensure data processing is efficient, scalable, and aligned with business goals.
System Integration: Collaborate with cross-functional teams to integrate and optimize systems that retrieve and analyze data to influence user outcomes.
End-to-End Ownership: Take responsibility for the end-to-end development, deployment, and maintenance of our data systems, ensuring they meet business needs and industry standards.
Innovation & Continuous Learning: Stay up-to-date with emerging technologies and best practices. Identify opportunities to innovate and improve data systems and processes.
Collaboration with Stakeholders: Work closely with researchers, architects, and engineers to ensure that data systems align with research objectives and technical requirements.

We're hiring an experienced Data Engineer to join our growing team of analytics experts in order to help & lead the build-out of our data integration and pipeline processes, tools and platform.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground u.
The right candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture to support our next generation of products and data initiatives.
In this role, you will be responsible for:
Create ELT/Streaming processes and SQL queries to bring data to/from the data warehouse and other data sources.
Establish scalable, efficient, automated processes for large-scale data analyses.
Support the development of performance dashboards & data sets that will generate the right insight.
Work with business owners and partners to build data sets that answer their specific business questions.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
Own the data lake pipelines, maintenance, improvements and schema.

As a Staff Infrastructure Software Engineer, you'll join our R&D center in Tel Aviv. You'll be a pivotal member of a cross-functional group working with multiple development teams to build the infrastructure, tooling, and standards for infrastructure and infra-related coding across our company's R&D. This role emphasizes research, programming, building scalable systems, and hands-on operational work in production environments. You'll play a critical role in shaping the future of transportation, affecting millions of riders daily worldwide.

What Youll Do:
Develop, drive, execute, and lead a long-term vision and strategy for our infrastructure, and tooling.
Create scalable, reliable, and efficient systems that enhance our technological foundation and support our growing scale and stability requirements.
Engage in hands-on coding and development, writing, building, deploying, and maintaining code in production environments.
Actively participate in day-to-day production operations alongside research and development, implementing real changes in production systems and directly addressing operational challenges.
Work closely with various development teams, moving between the four teams in our group as needed to address business objectives and tackle the biggest R&D challenges.
Work across a broad spectrum of technological disciplines, from network and operating system internals to high-level architecture planning.

We're looking for people that are excited to be part of a great team, where anyone and everyone can drive innovation and make a difference.
Check out some past and upcoming projects to see the type of work we do -

Develop a fully automated dispute platform to prevent, deflect, and recover chargebacks to reduce revenue loss. The system will support generating millions of dollars in yearly revenue, remove friction, and streamline obsolete operational processes.
Build and maintain a high-performing, scalable chargeback management system handling tens of thousands of requests daily, originating from various input sources and reporting at changing rates.
Define and optimize the scale, reliability, observability, and SLOs of the chargeback management platform.

We're looking for people that are excited to be part of a great team, where anyone and everyone can drive innovation and make a difference.
Check out some past and upcoming projects to see the type of work we do -

Develop a fully automated dispute platform to prevent, deflect, and recover chargebacks to reduce revenue loss. The system will support generating millions of dollars in yearly revenue, remove friction, and streamline obsolete operational processes.
Build and maintain a highly performant, scalable chargeback management system, originating from various input sources and reporting at changing rates.
Define and optimize the scale, reliability, observability, and SLOs of the chargeback management platform.

As the Data Stores team, we are responsible for implementing and delivering database solutions that handle and store petabytes of data. Our focus is on scalability, low latency, high throughput, and geo-distributed database systems, ingesting terabytes of data every day. We provide seamless, reliable, and scalable database solutions, which are key components for Machine Learning Models that deliver highly accurate, real-time risk decisions to protect our customers from fraud. Continually adapting to the evolving landscape and trends in databases, we implement new database offerings to ensure What you'll be doing:
Design, implement, and maintain scalable, reliable, and efficient database solutions.
Lead and mentor engineers to ensure the seamless operation of our database systems.
Investigate and implement performance and cost optimizations for our database solutions.
Create or introduce tooling and processes to support the operational aspects required for maintaining large database solutions.
Contribute to the continual improvement of our database infrastructure.
Stay updated with the latest trends and technologies for databases, and implement new database offerings as needed.
Participate in on-call rotations to ensure the availability and performance of our database systems.
innovative solutions stay ahead in the market.

Improve the life-cycle of services from inception and design, through deployment, operation, and refinement.
Manage support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
Provide guidance to other team members on managing availability and performance of mission critical services, on building automation to prevent problem recurrence, and on building automated responses for non-exceptional service conditions.
Maintain services once they are live by measuring and monitoring availability, latency, and overall system health, and lead sustainable incident response.
Scale systems sustainably through mechanisms like automation and evolve systems by driving changes that improve reliability and velocity.

We are looking for a Senior Backend Developer to join the hunt.

About the Role

Major role in architecting and developing our Dev-Native Observability Platform.
Taking part in a top-notch technology team
Affect the product roadmap by providing your feedback as a potential end user of the platform

We're looking for a Big Data Developer to join our Data Engineering team in Tel Aviv.
You will be a part of our Data Management platform, that is responsible for processing, storing, and serving data for all our core systems.
As a Big Data Developer, we will encourage you to take a proactive & autonomous approach in research & development while working collaboratively with the team. Our ideal candidate is a fast but thorough problem solver, and a fun person to work with!
What Youll Do:
End-to-end development and ownership, from design to production, with a strong emphasis on innovation and efficiency.
Take part in building & designing the next generation of company Identity solutions.
Implement high scale Big-Data solutions and contribute to our platform infrastructure and architecture.
Research core technologies and integrations with external APIs and services.
Working with various stakeholders: Product, Engineering, Data providers etc.