דרושים » ניהול ביניים » Senior Backend & Data Engineer

We are looking for an experienced, opinionated, and highly technical Staff Data Engineer to define the long-term direction of our Data Platform.
This role is ideal for a senior data leader who combines deep hands-on expertise with strong architectural judgment, enjoys mentoring others, and takes full ownership of complex, high-scale data systems.
You will drive platform architecture, set engineering standards, and lead the design and delivery of scalable batch and streaming data solutions on AWS.
Key Responsibilities:
Technical Leadership & Architecture:
Own and evolve the overall data platform architecture-scalability, reliability, security, and maintainability.
Lead the long-term strategic direction of the platform, balancing performance, cost, and operational excellence.
Introduce and drive adoption of modern data paradigms: lakehouse (Iceberg), event-driven pipelines, schema-aware processing.
Data Lake & Architecture Ownership:
Design, model, and evolve the Data Lake architecture, including:
Storage layout and data organization
Data formats and table design (e.g., Iceberg)
Batch and streaming ingestion patterns
Schema governance and lifecycle policies
Define and promote best practices for data modeling, partitioning, and data quality.
Ensure the Data Lake supports analytics, ML workloads, and operational systems at scale.
Platform Engineering:
Design and build high-scale ETL/ELT pipelines leveraging Apache Spark (EMR/Glue) and AWS-native services.
Optimize production-grade pipelines using S3, Athena, Kinesis, Lambda, Step Functions, and EKS.
Lead the rollout of modern patterns such as lakehouse architectures and event-driven data pipelines.
Security & Governance:
Ensure alignment with AWS security best practices-IAM, encryption, auditing, and compliance frameworks.
Partner with security and governance teams to support regulated and sensitive data environments.
Mentorship & Collaboration:
Serve as a technical mentor to data engineers; elevate team capabilities.
Lead architecture reviews and cross-team design discussions.
Work closely with Data Science, ML Engineering, Backend, and Product teams to deliver end‑to‑end data solutions.

We are assembling a highly skilled, small-scale engineering team focused on transforming generative AI innovation into real, production-grade platforms.
As a Platform Engineer with a strong backend orientation, you will architect and implement the core infrastructure that enables rapid deployment, experimentation, and scaling of advanced AI capabilities. Your work will bridge cutting-edge research with reliable, secure, high-performance systems powering the next generation of digital intelligence products.
Responsibilities:
Design and develop backend services and APIs for SaaS applications using Node.js and TypeScript
Architect and implement microservices and distributed systems optimized for scalability and maintainability
Build and maintain CI/CD pipelines for automated deployments and testing
Develop cloud-native solutions leveraging AWS services and Kubernetes (EKS)
Manage infrastructure as code using Terraform and Helm for Kubernetes deployments
Ensure system reliability, security, observability, and performance at scale
Collaborate with cross-functional teams to deliver features in an agile environment
Continuously improve platform architecture and development workflows.

We are looking for a Backend Software Engineer to contribute to the development of our companys enterprise SaaS platform. The role focuses on designing, building, and improving backend services and large-scale infrastructure components.
What Youll Do:
Design and implement backend services that drive a high-scale, high-availability SaaS product.
Lead and contribute to the development of a new rule-engine solution, including architecture, data flow design, and performance considerations.
Work on complex architectural challenges, improving system scalability, stability, and long-term maintainability.
Develop new features end-to-end: analysis, design, implementation, testing, and deployment.
Ensure code quality, performance, observability, and security across backend components.
Collaborate with architects and other engineering teams to design robust technical solutions.

We are looking for a Backend Software Engineer to contribute to the development of our companys enterprise SaaS platform. The role focuses on designing, building, and improving backend services and large-scale infrastructure components.
What Youll Do:
Design and implement backend services that drive a high-scale, high-availability SaaS product.
Lead and contribute to the development of a new rule-engine solution, including architecture, data flow design, and performance considerations.
Work on complex architectural challenges, improving system scalability, stability, and long-term maintainability.
Develop new features end-to-end: analysis, design, implementation, testing, and deployment.
Ensure code quality, performance, observability, and security across backend components.
Collaborate with architects and other engineering teams to design robust technical solutions.

We are seeking a driven and experienced Backend Developer to join our dynamic R&D team at our company. In this role, you will lead complex backend projects end-to-end - starting from understanding functional specifications, through writing detailed technical documentation, designing system architecture, developing and deploying high-performance backend services using modern technologies and cloud infrastructure, while closely collaborating with Product, DevOps, QA, and fellow developers to deliver robust and scalable systems, and providing technical leadership through code reviews and mentoring junior team members.
Responsibilities
What youll do:
Lead complex backend projects from functional spec, through writing detailed technical documentation, architecture, development, and deployment.
Build and maintain high-performance backend services using modern technologies and cloud infrastructure.
Collaborate closely with Product, DevOps, QA and fellow developers to deliver robust, scalable systems.
Provide technical leadership, conduct code reviews, and guide junior team members.

We are seeking a seasoned and execution driven VP, head of data platform to lead all the R&D tracks of the Data and Analytics organization in our company. This role focuses on leading a complex data engineering organization at scale, driving delivery, operational excellence and cross-company enablement through world-class data platforms and tools.
This leader will serve as the engineering owner of our data platform, managing multiple data infra, data engineering and BI development teams, overseeing extensive resources, and ensuring the delivery of high-quality, scalable, and reliable data products and services. This position requires a strong technical background combined with exceptional leadership, strategic thinking, and cross-functional collaboration skills.
He will also act as a key stakeholder in defining the architecture and strategic direction of our data infrastructure, pipelines, AI/ML infra and platforms to support the company's rapid growth and evolving business needs.
Hybrid
Full-time
What youll do: 
Lead and manage the entire data platform, including:
Real-Time Data & Streaming Infrastructure: Introduce and engineer robust data streaming infrastructures (e.g., using Kafka, Pub/Sub, Dataflow) to enable near-real-time data ingestion and scalable low-latency data serving, unlocking advanced analytics and critical use cases.
Data engineering teams responsible for the data ingestion, transformation and delivery pipelines
BI infra and development teams owning the cross-company consumption layer, including BI tools, BI data layers and dashboards
Serve as the operational and delivery lead across the data platform, ensuring strong project execution, roadmap alignment and measurable business impact
Data Engineering & Architecture Oversight: Lead the design, development, and evolution of scalable data platforms, encompassing data lakes, data warehouses, and advanced data products, ensuring they meet performance, reliability, and business requirements.
Operational Excellence & Reliability: Establish and drive engineering operational excellence processes across data engineering, significantly improving data quality, availability, and system reliability. Implement frameworks for proactive monitoring, alerting, and incident management, reducing major incidents and ensuring continuous visibility into data flows.
Advanced Data Observability: Integrate and leverage cutting-edge data observability solutions (e.g., Monte Carlo) to provide comprehensive visibility into data pipelines, enabling proactive detection and resolution of anomalies.
Cross-functional Collaboration & Stakeholder Management: Collaborate extensively with product, analytics, business, and infrastructure teams to align data strategies with overarching business priorities, ensuring the delivery of high-quality data products that meet diverse user needs.
Innovation & Technology Adoption: Stay abreast of the latest data, cloud, and AI trends, driving the evaluation and adoption of modern cloud-native technologies to continuously improve platform capabilities and future-proof the ecosystem.
Leadership & Team Growth: Lead, mentor, and grow a large team of data engineers, fostering a culture of technical excellence, continuous learning, and agile methodologies. Oversee budget management and drive talent development within the team.
Data Governance & Quality: Oversee the implementation of standards for data quality, data integrity tools, governance, privacy, and regulatory compliance across the data ecosystem.

we are shaping the future of urban mobility. Since 2007, we've been pioneering innovative solutions for drivers and commuters, starting with our mobile parking payment service. Today, we are a leading smart mobility app that empowers millions of users to effortlessly manage their transportation needs. Our app simplifies hybrid journeys by combining various transportation modes into one convenient platform. About the Role: We are seeking a driven and experienced backend Developer to join our dynamic R&D team at our company. In this role, you will lead complex backend projects end-to-end - starting from understanding functional specifications, through writing detailed technical documentation, designing system architecture, developing and deploying high-performance backend services using modern technologies and cloud infrastructure, while closely collaborating with Product, DevOps, QA, and fellow developers to deliver robust and scalable systems, and providing technical leadership through code reviews and mentoring junior team members.
Responsibilities:
What youll do:
* Lead complex backend projects from functional spec, through writing detailed technical documentation, architecture, development, and deployment.
* Build and maintain high-performance backend services using modern technologies and cloud infrastructure.
* Collaborate closely with Product, DevOps, QA and fellow developers to deliver robust, scalable systems.
* Provide technical leadership, conduct code reviews, and guide junior team members.

We are looking for an sharp-minded Backend Developer to join our Growth team. This is a unique opportunity to take part in shaping architecture decisions, contribute to cross-functional projects, and work with cutting-edge technologies in a fast-paced, innovation-driven environment.

Responsibilities:

* Lead complex backend projects from functional spec, through writing detailed technical documentation, architecture, development, and deployment.
* Design, develop, and maintain scalable backend systems using Python in production environments
* Build and manage cloud-native, microservices-based architectures and distributed systems
* Work with a variety of data storage technologies
* Collaborate with cross-functional teams including product, DevOps, and frontend
* Build and manage frontend components (Angular) as needed
* Communicate complex technical topics clearly to non-technical stakeholders
* Actively leverage AI tools (e.g., Cursor) to accelerate development and raise the team’s engineering bar.

Advantages:

* Experience mentoring developers and leading technical initiatives

Our team is responsible for the data and data infrastructure that processes billions of records daily, driving critical business insights for both internal and external customers across the organization.
Our Data team consists of highly skilled senior software and data professionals who collaborate to solve complex data challenges. We process billions of records daily from multiple sources using diverse infra and multi-stage pipelines with intricate data structures and advanced queries, and complex BI.
A bit about our infrastructure. Our main databases are Snowflake, Iceberg on AWS, and Trino. Spark on EMR processes the huge influx of data. Airflow does most of the ETL.
The data we deliver drives insights both for internal and external customers. Our internal customers use it routinely for decision-making across the organization, such enhancing our product offerings.
What Youll Do
Build, maintain, and optimize data infrastructure.
Contribute to the evolution of our AWS-based infrastructure.
Work with database technologies - Snowflake, Iceberg, Trino, Athena, and Glue.
Utilize Airflow, Spark, Kubernetes, ArgoCD and AWS.
Provide AI tools to ease data access for our customers.
Integrate external tools such as for anomaly detection or data sources ingestion.
Use AI to accelerate your development.
Assures the quality of the infra by employed QA automation methods.

we are looking for a Senior Software Engineer to join our team responsible for the machine identity and access offering, designing and developing services used as part of our companys SaaS products.
The team designs and develops services that integrate closely with leading cloud vendors like AWS, Azure, GCP, and many other DevOps services and tools, providing managed access to sensitive assets in the organization.
In this role, you will be using advanced AWS microservices, with Ruby, Golang, Java and Python through the entire SDLC from planning to production.
The team collaborates with security architects, product managers, and other development teams.
Together we produce complex and advanced solutions that meet the highest security standards and NFRs.
We are looking for someone energetic and versatile to join our family and help us achieve our goals.
Design and develop new features using container-based architectures
Research new technologies and platforms
Be a member of a highly talented cross-functional development team of developers, architects, and QA engineers, in an agile oriented environment
Participate in continuous and iterative engineering cycles, emphasizing code quality, supportability, scalability, and performance.