לוח משרות דרושים Senior Backend Developer משרה מלאה

This is a highly hands-on leadership role, combining deep technical involvement with ownership of the domain and team. You will lead and grow a team of engineers while remaining closely involved in architecture, design, and critical parts of the system.

You will own the deployment domain end-to-end - from infrastructure and backend services to customer experience - and play a key role in shaping how delivers its product across AWS, Azure, GCP, and on-prem environments.

This role sits at the intersection of engineering, product, and customer-facing delivery, with direct impact on customer success and company growth.


Responsibilities
Team Leadership & Ownership

Lead and grow the Backend & Deployment team, including hiring, mentoring, and developing engineers.
Drive execution, prioritization, and delivery while maintaining high engineering standards.
Foster a strong ownership culture and create clarity in a fast-paced, evolving environment.
Take full end-to-end ownership of the deployment domain, including reliability, scalability, and customer experience.
Partner closely with Product, R&D, Sales Engineering, and Customer Success to align priorities and deliver customer value.
Hands-on Technical Leadership

Remain deeply involved in the system - contributing to architecture, design, and critical development efforts.
Lead the design and evolution of deployment architectures across multi-cloud (AWS, Azure, GCP) and on-prem environments.
Work hands-on with Kubernetes, Infrastructure-as-Code (Terraform), and backend services.
Drive improvements in scalability, automation, observability, and resilience.
Collaboration & Customer-Facing Work

Act as a technical escalation point for customer deployment and integration issues, working closely with Solutions Engineering and Support.
Collaborate with external-facing teams (Customer Success, Solutions Engineering, Sales Engineering) on customer deployments and integrations, including participating in calls or troubleshooting sessions when needed - sometimes during US business hours.

This role sits at the intersection of cloud infrastructure and backend engineering. You'll build and maintain the Infrastructure-as-Code and tooling that customers use to deploy Sentra across AWS, Azure, and GCP - including Kubernetes-based, VM-based, and on-premise environments. Alongside that, you'll develop the backend services that power the deployment lifecycle: orchestration, provisioning, environment management, health monitoring, and deployment verification - time-critical services where reliability directly impacts the customer experience.

The role blends hands-on engineering, cloud architecture, and customer-facing technical work. You'll collaborate with Solutions Engineering, Support, and customers directly to ensure deployments are smooth, secure, and scalable.


Responsibilities
Customer Deployment

Develop and maintain Infrastructure-as-Code (Terraform, CloudFormation) that customers use to deploy and integrate the product into their cloud environments.
Design customer-deployable cloud architectures across AWS, Azure, and GCP, including networking (VPC/VNet, routing, NAT, PrivateLink / private endpoints) and security primitives.
Build and maintain deployment tooling (CLI tools, installers, templates, automation) to simplify customer setup and upgrades.
Develop and maintain our Kubernetes-based deployment (Golang, Helm) for either cloud-native or on-prem environments.
Backend Deployment Services

Build and maintain backend services (Python, TypeScript) that power the deployment lifecycle - including orchestration, provisioning, and environment management.
Develop health monitoring and deployment verification services that ensure reliable, validated deployments with minimal customer friction.
Design and improve APIs that manage customer environments, ensuring they are robust, well-documented, and easy to integrate with.
Own the reliability and performance of time-critical deployment services where latency and correctness directly affect customer experience.
Collaboration & Customer-Facing Work

Act as a technical escalation point for customer deployment and integration issues, working closely with Solutions Engineering and Support.
Collaborate with external-facing teams (Customer Success, Solutions Engineering, Sales Engineering) on customer deployments and integrations, including participating in calls or troubleshooting sessions when needed - sometimes during US business hours.

We are looking for a Senior Backend Engineer to join our R&D team and play a pivotal role in building Sentras multi-cloud scanning system. This position is ideal for engineers who excel in solving large-scale challenges within a fast-paced startup setting, and who are passionate about pushing the boundaries of data security in a cloud environment.


Responsibilities
Lead the design and development of our cloud scanning orchestration system, ensuring efficiency and scalability across multiple cloud environments.
Handle multiple system interactions, working with microservices and cloud-native components to build a robust and flexible scanning solution.
Research various Datasources APIs in order to develop connectors and perform efficient data scanning.Develop and implement efficient data scanning connectors by researching the APIs of various data sources.
Collaborate closely with cross-functional teams, including R&D engineers, product managers, and solution engineers, to deliver end-to-end features and tackle complex engineering challenges.
Gain a high-level architectural perspective while maintaining the ability to dig into technical specifics and optimize system performance.

We are looking for a Senior Data & Machine Learning Engineer to operate at the intersection of data platform engineering and machine learning enablement. This role is responsible for building scalable, efficient, and reliable data systems while enabling Data Science and Analytics teams to develop and deploy ML-driven features.

You will take ownership of the data and ML infrastructure layer, ensuring that pipelines, storage models, and compute usage are optimized, while also shaping how data workflows and ML solutions are designed across the organization.


Responsibilities
Data Platform & Infrastructure

Design, build, and maintain scalable data pipelines and storage systems supporting analytics and ML use cases
Ensure compute and cost efficiency across pipelines, storage models, and processing workflows
Own and improve data orchestration, transformation, and serving layers (e.g., Spark, DBT, streaming/batch systems)
Build and maintain shared infrastructure components, including:
IO managers and data access abstractions
Integrations with DBT, Spark, and other data frameworks
Internal tooling to improve developer productivity and reliability
ML Enablement & Collaboration

Partner closely with Data Science to design and productions ML solutions for new features and research initiatives
Translate experimental models into robust, scalable production systems
Support feature engineering, training pipelines, and inference workflows
Help define best practices for ML lifecycle management (training, validation, deployment, monitoring)
Data Quality, Governance & Best Practices

Enforce best practices for building and maintaining data processes across Data Analyst and Data Science teams
Define standards for:
Data modeling and transformations
Pipeline reliability and observability
Testing, versioning, and documentation
Improve data quality, consistency, and discoverability across the organization
Performance & Reliability

Optimize systems for performance, scalability, and cost efficiency
Monitor and troubleshoot data pipelines and ML systems in production
Implement observability (logging, metrics, alerting) across data workflows

We are a dynamic R&D department that designs and develops Call Recording solutions, looking for a long-term relationship with Developer to be a part of a team developing cutting edge, SaaS enterprise solution enabling to capture, organize, and share meeting content.
We are looking for a professional who is passionate to investigate, learn and implement new technologies, as well as happy to go beyond the immediate job description.
Responsibilities:
Design and architect scalable backend services using cloud-native technologies
Lead integration strategies for complex 3rd party services and APIs
Analyze and translate business requirements into technical solutions
Drive architectural decisions through research, POCs, and technical leadership
Champion Test Driven Development and code quality best practices across the team
Optimize system performance and identify bottlenecks proactively
Mentor junior developers and conduct code reviews

We're building our Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
The Dream-Maker Responsibilities
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the platform.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Design and scale agent-based systems along with robust evaluation frameworks.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.

Required Senior Backend Engineer - Posture
Were building the next generation of autonomous cybersecurity technology - systems that think like attackers to continuously uncover security gaps in enterprise environments.
As a Senior Engineer in our Attack Simulation Platform team, youll design and build the engines, data models, and intelligent agents that simulate advanced adversaries across large-scale networks. Youll combine strong software-engineering skills with deep security intuition to create systems that mirror human attacker behaviour and discover real weaknesses before attackers do.
The Dream-Maker Responsibilities
Design and build AI-driven agents that emulate adversarial behaviours such as lateral movement, privilege escalation, and persistence.
Develop core simulation and orchestration components in Go (primary language) and integrate with in-house AI models.
Model and simulate attack paths across complex enterprise environments (identity, endpoint, network, and cloud).
Collaborate with red-teamers, researchers, and data scientists to translate threat intelligence and real attack TTPs into executable logic.
Contribute to architecture decisions, scalability, and performance optimization for distributed simulations.

Were looking for a Senior Backend Engineer to join our Detection group. Be a significant part of the development of infrastructure that efficiently handles, processes, and stores vast volumes of data. Youll design and evolve core backend and build scalable, high-performance backend system that enables our real-time threat detection platform and find state-sponsored attacks.
The Dream-Maker Responsibilities
Design and develop complex, large-scale backend systems that efficiently handle, process, and store high volumes of data.
Own backend architecture end-to-end, from early design decisions to production rollout and long-term evolution
Translate business and technical requirements into clear backend architecture and detailed implementation plans, with strong focus on design quality, maintainability, reliability, and performance.
Collaborate closely with cross-functional teams (Product, Data, DevOps, Security) to deliver robust backend and data-processing capabilities.
Build resilient, production-grade systems and drive modern engineering practices, leveraging cloud technologies.
Debug and resolve complex backend issues using strong analytical and problem-solving skills.
Lead technical initiatives, drive best practices, and raise the bar for engineering quality.

Realize your potential by joining the leading performance-driven advertising company!
As a Senior Backend Engineer, youll be instrumental in building and optimizing our core infrastructure for managing RTB requests at scale, one of the biggest revenue driven operations in the company.
How youll make an impact:
As a Senior Backend Engineer, youll bring value by:
Develop one of the largest real time big data operation in the world to support over 40TB of new data every day
Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
Collaborate with the brightest software engineers team members
Influence directly on the way billions of people discover the internet
Develop at unimaginable scale, serving hundreds of thousands of requests per second
Work on innovative projects that are the next growth engines for our company
Here are some of the things software developers in our group did in the last several months:
A unique data pipeline for managing RTB requests at scale
An algorithmic model to predict if a given Real-Time impression is valuable to our company
A smart gateway that ingests hundreds of thousands of requests per second for a single instance
An A/B tests system to explore variations and experiments
And many more.

We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team.

In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis.

If youre passionate about AI, machine learning, and writing high-quality code-and are eager to contribute to innovative, impactful do good projects in the digital health space-wed love to hear from you!

What you'll be doing:
Design, develop, and maintain our machine learning ecosystem libraries.
Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
Create and maintain CI scripts to ensure seamless integration and delivery.
Conduct thorough code reviews to uphold high-quality standards.
Collaborate closely with data scientists, understanding and addressing their evolving needs.
Work alongside software developers to seamlessly integrate machine learning models into production systems.
Stay current with the latest advancements in machine learning, leveraging innovative techniques to enhance the companys products and services.

In this role, you will lead a team responsible for building and scaling mission critical backend services that power intelligence platform handling large volumes of data, complex pipelines and high-availability systems. You will combine people leadership with hands-on technical leadership, working closely with product, research and operations to deliver reliable, scalable solutions that directly support the companys growth and business goals.

What Youll Be Doing

Lead and grow a backend engineering team, creating a culture of ownership, quality, and continuous improvement.
Own the design, development, and delivery of backend services, APIs and data pipelines in a cloud-native, microservices-based environment.
Work closely with Product, Research, and Operations to translate business and intelligence needs into scalable technical solutions.
Drive technical and architectural decisions within your domain, balancing performance, reliability, and cost.
Maintain high engineering standards through code reviews, testing, and CI/CD best practices.
Be hands-on in the code (around 50-60%), leading by example.
Take full ownership of your teams roadmap, delivery, and technical health.
Technology stack includes: C#, NestJS, Kubernetes, Kafka, and various relational and non-relational databases, Elasticsearch.

Required Senior Backend Engineer.- Al Team
About the Team
The AI team at Bob is at the forefront of integrating cutting-edge AI technologies into our product, delivering features that enhance user experience, empower decision-making, and drive business insights.
We work in a true continuous delivery environment, with fully automated QA processes and a modern microservices architecture - deploying to
Job responsibilities:
Design, build, and maintain backend infrastructure and microservices supporting AI-driven features.
Collaborate closely with the infra and data groups to ensure smooth integration of AI models and services into Bobs core systems.
Develop and optimize APIs, data pipelines, and background processing workflows.
Ensure performance, scalability, and resilience of production systems handling real-time AI interactions.
Drive engineering excellence through code reviews, architecture discussions, and automation.
Mentor other backend developers and promote best practices in software design, testing, and deployment.

Required Senior Backend Engineer
Job responsibilities
What will you do?
As a Backend Engineer on the team, youll have a key role in developing our product and its unique features, working closely with our Product team. You should be passionate about software engineering and building a product end-to-end and will be responsible for owning the dev cycle from the technical design, through coding and testing, to deployment and monitoring. We work in a true continuous delivery environment with fully automated QA processes on a microservices architecture, deploying to production dozens of times every day.

we are looking for a talented Senior Backend Java Engineer to join our team and build cutting-edge solutions for the logistics world. Youll work on designing, developing, and implementing features for a robust and scalable platform that transforms how businesses deliver goods and services.
we turn logistics from a bottleneck into a strategic advantage. Our unified platform transforms fragmented operations into seamless, scalable execution empowering businesses to meet demand with speed and precision.
RESPONSIBILITIES:
Design, plan, and execute the roadmap for the team, focusing on introducing new ways to improve application performance
Work on the design of complex features across the platform
Collaborate with product managers to understand business requirements and translate them into technical solutions
Work with team members on technological and architectural topics to drive engineering excellence

we are looking for a Senior AI Backend Engineer.
Build the future of AI in the world of Cloud Infrastructure. You'll design innovative solutions powered by AI and help shape where we're headed as a company.
Why This Role Rocks:
Develop cutting-edge AI solutions - We're harnessing LLMs to solve real cloud infra problems, not just for buzzword points
We build the future - AI SRE became the hottest market in the cloud infra space - its our job to lead it.
Your ideas become reality - Propose solutions, lead initiatives, and see your impact
Shape our tech direction - You'll have a real voice in our technical strategy.
FULL Ownership: We believe in taking developments end to end. From ideation all the way to production.