דרושים » תוכנה » Senior Backend Engineer

We are seeking a Senior Backend Engineer to join the Sightline detection engineering team. You will design, build, and operate high-scale, low-latency backend services that score and protect web and API traffic against automated abuse, working at the core of our real-time detection platform.

What youll do:

High-Scale Engineering: Design, build, and maintain distributed, high-throughput backend services processing hundreds of thousands of requests per second with strict tens-of-milliseconds latency targets.

End-to-End Ownership: Own services from architecture and implementation to deployment and reliability. This includes full-stack instrumentation (monitoring, alerting, and tracing) to detect and mitigate production issues.

Product Innovation: Implement and evolve real-time detection and decisioning flows within the Sightline Cyberfraud Defense platform, collaborating with security researchers, data science, and product teams.

Cloud-Native Operations: Build and operate services in a Kubernetes environment using a modern GitOps stack (Go, Kafka, Redis, MongoDB, BigQuery, ArgoCD, Pulumi, Crossplane), ensuring robust rollout strategies and safe migrations.

AI-Forward Engineering: Demonstrate a deep passion for the AI-first development frontier and an expert-level ability to leverage assistants and agents to radically accelerate the entire lifecycle - from architectural scaffolding to automated tasks, skills, and complex debugging/testing.

Cross-Functional Collaboration: Partner with adjacent teams to design end-to-end flows that balance security, performance, and customer experience.

Technical Leadership: Contribute to technical design reviews and code reviews, raising the bar for quality and operational excellence across the team.

We are looking for a talented, passionate and experienced Senior Backend Software Engineer to join our team. You will help design and build the backend and data pipeline behind leading XDR platform, operating at large scale and under real-world production constraints. Were looking for someone with strong distributed systems fundamentals, high coding standards, and a collaborative, hands-on approach.
Responsibilities:
Lead the design and implementation of key backend components in flagship product
Build and operate a high-throughput data pipeline handling terabytes of data per day, with a focus on performance, reliability, and cost
Drive engineering best practices (testing, observability, CI/CD, code review, technical design) and contribute to product/technical innovation
Mentor engineers and help grow a strong engineering culture; learn and collaborate across teams

we are looking for a AI Backend Engineer.
As the AI Backend engineer , you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
Build scalable APIs and microservices that interface with LLMs and AI frameworks
Implement agent orchestration systems, tool calling mechanisms, and workflow engines
Optimize performance and reliability of AI-powered applications at scale
Develop data pipelines for training, evaluation, and monitoring of AI systems
Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions

Were looking for a hands-on Edge Software Engineer to join our Innovation Team and build the software backbone that connects prototype AI perception to operational deployment. This is a mid-to-senior level role focused on reliability at the edge. Youll own communication and synchronization across distributed platforms, design robust runtime architectures, and package perception pipelines into production-grade modules built for harsh real-world constraints.
This isnt a narrow backend job - its an opportunity to build the next generation of AI-powered maritime infrastructure from the ground up, with full ownership and impact, alongside the most innovative team in the most advanced company in this space.
What Will You Do?
Architect and implement containerized edge pipelines (Docker, DeepStream/Triton) for Jetson and x86
Design and implement the edge comms stack (sync, heartbeat, telemetry)
Lead cross-functional integration with algorithm, product, and field teams
Own the end-to-end integration of AI models into embedded systems
Drive profiling, debugging, and performance tuning in constrained environments
Support hardware-software integration in both lab and vessel environments
Contribute to strategic innovation rollouts and project qualifications
Challenges & Opportunities:
Tackle real-world edge integration with embedded AI systems
Lead visible, strategic innovation projects with external partners
Help define the future of autonomy in the maritime world
Join a high-impact, close-knit team working at the bleeding edge of autonomy and robotics

We are looking for a Senior Platform Engineer to join our engineering team. This is a hybrid role sitting at the intersection of backend software development and infrastructure engineering. You will own the design and delivery of platform capabilities - from backend services and APIs to the internal developer tooling, CI/CD systems, and Kubernetes-based infrastructure that power our engineering organization.

You will partner closely with software engineering teams, acting as both a builder and an enabler: shipping production-quality backend services while also raising the bar for developer experience, deployment reliability, and infrastructure scalability.

What You'll Be Doing

Design, build, and maintain production-grade backend services, APIs, and microservices.
Develop background workers, event-driven systems, and async processing pipelines.
Define and enforce backend architecture patterns - API design standards, service boundaries, data modeling, and error handling.
Collaborate with product and feature teams to deliver shared platform services (auth, notifications, integrations, etc.).
Integrate and operate AI agents within engineering workflows, using them as active development tools to accelerate delivery and improve code quality.
Contribute to the design and development of corporate AI-agent tooling - building the infrastructure, APIs, and platform abstractions that power our internal LLM-based tools.
Work closely with large language models (LLMs) - including prompt engineering, API integration, and building reliable pipelines around model inference.
Own and evolve our Kubernetes infrastructure, including Helm chart management, workload configuration, RBAC, and cluster operations.
Design and manage CI/CD pipeline templates shared across engineering teams - covering build, test, security scanning, and deployment stages.
Develop internal developer platform tooling that improves self-service capabilities and deployment velocity.
Drive observability best practices using tools like Datadog, OpenTelemetry, and Prometheus.

We're looking for a Backend Engineer with a data science foundation to join our AI team and build production systems that integrate Generative AI capabilities. You'll design and implement end-to-end solutions APIs, databases, orchestration, and cloud infrastructure for clients across a wide range of sectors.
This role is ideal for someone who thinks in systems, enjoys working with GenAI technologies, and wants to grow into designing complex architectures. You'll work alongside senior engineers on real delivery projects from day one.
Key Responsibilities
Design and build backend systems APIs, databases, authentication, and integrations
Implement multi-agent architectures and orchestration workflows combining LLMs with backend logic
Deploy and maintain systems on GCP, Azure, or AWS
Optimize AI system performance, cost, and reliability
Collaborate with client teams, DevOps, and stakeholders on project delivery
Contribute to technical discussions and solution design.

Were looking for a Senior Backend Developer to help build and scale the core systems powering our products end-to-end. In this role, youll take ownership of backend services, design and develop robust, scalable architectures, and work closely with product and engineering teams to solve meaningful challenges that directly impact our customers and partners.

Youll work with modern technologies including Node.js, Nest.js, TypeScript, PostgreSQL, and AWS, in a fast-moving environment that values strong engineering fundamentals, a product-driven mindset, and a passion for solving complex problems at scale.

Responsibilities
Design, develop, and deploy scalable, high-performance backend services that support our web and mobile applications.
Own backend features end-to-end: from technical design and implementation to production deployment and ongoing improvements.
Write clean, maintainable, and well-documented TypeScript code, following best practices, design patterns, and high testing standards.
Build and optimize PostgreSQL schemas, queries, and data flows to ensure reliability and performance at scale.
Participate in architecture discussions and help drive technical decisions that improve velocity, stability, and extensibility.
Perform code reviews, troubleshoot production issues, and proactively improve system observability, reliability, and performance.
Collaborate closely with Product, FE, QA, and other stakeholders to understand requirements and translate them into clear technical plans and execution.

we are looking for a Senior Backend Developer.
What Youll Do:
Design, scale, and operate high-throughput, low-latency services to support high scale of ingestion, augmentation, continuous ML training, and real-time prediction.
Design, implement, deploy and own E2E Cloud clusters, services, and infrastructure to support extreme workloads and traffic flow while maintaining a lean design and low-maintenance architecture.
As all our systems are data-driven you will have an analytical aspect in measuring your modules both business and performance-wise
Build internal simulation tools and validation endpoints that let the team test changes against live traffic before they ship
Work side by side with data scientists and researchers - designing, implementing, and owning entire areas of the system from prototype to production
Technological superiority is what gives us our edge so youll work and be up to date with the latest tech and trends

We're looking for a passionate and experienced Python Developer to help shape the future of AI. You'll play a crucial role in developing and implementing the backend systems that power our breakthrough language model, Apollo.

### **What You'll Do:**

- Design and implement robust services and APIs to drive our product
- Collaborate with cross-functional teams to define, design, and ship new features
- Optimize existing systems for improved performance and scalability
- Participate in code reviews and contribute to team knowledge sharing
- Monitor, identify, and resolve backend/platform issues
- Implement and maintain microservices architecture and event-driven communication systems
- Integrate and operationalize large language models (LLMs) within the production environment
- Stay up-to-date with emerging trends and technologies in software development

An AI startup is looking for a Software Engineer / Architect for a senior role focused on leading backend architecture and designing complex systems at a critical pre-launch stage.
This position includes broad ownership over infrastructure, scalability, and implementing an AI-first engineering mindset across the product and organization.
Responsibilities:
Lead backend architecture and system design
Design services, APIs, and data flows for an AI product
Build scalable, reliable, production-ready systems
Lead AI-first development best practices
Work closely with the founders on the technical roadmap
Improve engineering processes, performance, and system design
Own product infrastructure in preparation for significant scale