דרושים » תוכנה » Backend Engineer

About the Team
Were a small, experienced, and tight-knit engineering group at our company, building an advanced AI-powered solution for medical research.
Our platform empowers researchers and healthcare organizations to define populations, analyze real-world data, and accelerate scientific discovery responsibly and securely.
Weve been working together for years, driven by a shared mission and a culture that values delivery, ownership, quality, and impact.
Were now looking for another meaningful team member to join us! Someone who loves to build, cares deeply about user experience, and wants to make a real difference in healthcare through technology.
What Youll Do
Design and Build Core Applications: Develop and optimize rich, data-centric web applications used by researchers globally, applying a strong focus on backend, infrastructures, architecture and performance
Contribute Across the Stack: Deliver scalable, secure software features end-to-end. This includes seamlessly integrating the backend with UI applications, other microservices and contributions to our infra domain (K8s, Docker, Terragrunt)
Collaborate on AI Tools: Partner with UI and AI engineers to integrate our cutting-edge medical AI co-pilot, turning complex data insights into practical, user-friendly features.
Influence Strategy and Culture: Actively participate in architectural discussions and product direction, contributing positively to our team's mission-driven culture of quality and ownership.
Why Join Us
Be part of a small, highly capable team where every engineer has a real voice and visible impact on the product, the technology, and the mission.
Work with people who care deeply about craftsmanship, collaboration, and purpose - not just shipping features.
Build technology that directly advances medical research and improves lives.
Enjoy autonomy, ownership, and end-to-end responsibility, from concept to production.
Join a company that blends startup agility with a clear, long-term vision to transform healthcare through AI.

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As a Senior Backend Engineer in the Routing team, you will be responsible for designing, building, and scaling the backend systems that power our companys core products. Youll work on high-impact, distributed services that manage geospatial data, large-scale databases, real-time events, and mission-critical workflows used across multiple teams and regions. Your work will directly influence system reliability, performance, and developer productivity at scale.
You will collaborate closely with Product, Infrastructure, Data, and other engineering teams to define system boundaries, evolve shared services, and ensure our backend platform can support rapid product growth. You will be part of a highly skilled and motivated engineering group responsible for building robust, scalable, and maintainable backend systems that operate in real time and at high load.
What Youll Do:
Design, build, and scale backend systems and data pipelines that power our companys GIS and mapping platform, from initial design through production deployment and long-term ownership.
Own features end-to-end with strong accountability, including design, implementation, testing, deployment, monitoring, and ongoing maintenance.
Develop and maintain Python-based data pipelines that ingest, process, and transform large-scale OpenStreetMap (OSM) and other geospatial datasets.
Model, store, and query complex geospatial data using PostgreSQL and PostGIS, including road topology, zones, polygons, points, and other business-critical spatial entities.
Optimize database schemas, spatial indexes, and queries to efficiently handle large datasets and high-throughput workloads.
Build and maintain backend services and APIs that expose geospatial and mapping data to other backend services, frontend applications, and data consumers.
Collaborate closely with other backend teams, frontend teams, data teams, and infrastructure to align on data contracts, system boundaries, and cross-team initiatives.
Improve system reliability, observability, and performance through monitoring, alerting, benchmarking, and continuous optimization.
Contribute to architectural decisions, technical standards, and best practices, while mentoring other engineers and raising the overall engineering bar.

We are looking for a Software Engineer to join our core Algorithm team as an dedicated data-core / platform engineer. You will support the algorithm engineers developing detection algorithms to design and build the infrastructure they run on: the object-detection (OD) pipeline, its orchestration and deployment, its data and model catalog, and the benchmark and labeling systems that drive model improvement. This is a high-autonomy role with real, end-to-end ownership of production systems from day one.

The technologies listed in this description are examples of our day-to-day - not a rigid checklist. We care far more about how you think, how you plan, how you debug, and how fast you learn than about which specific tools you have already used. If you love the craft of making things work and want to go deep, you can learn the rest here.

In the AI era, being a strong engineer means more than writing great code. It means operating as an architect who directs AI agents - designing the solution with clarity, then guiding them to execute it at a level and speed that wasn't possible before. We are building a culture where this is the norm, and we're looking for someone who is excited to work and grow in that direction.



What You'll Do

Take on hard, open-ended infrastructure challenges and make them work - designing, building, decoupling, and hardening the systems behind our object-detection pipeline, from data and model management to benchmarking, so everything runs reliably at scale.
Architect and build the backbone of the OD pipeline - orchestration (Airflow on Kubernetes), data plumbing (S3 / PostGIS / SQS), CI/CD, and deployment across multiple environments - designing clean interfaces and data contracts the algorithm team can build on with confidence.
Debug across the whole stack, wherever the problem leads - a stuck DAG, a flaky pipeline stage, a slow query, a GPU/driver mismatch - and turn one-off firefights into lasting fixes and better observability.
Own the data and model lifecycle: versioned datasets and model weights with clear provenance, and the labeling → export → retraining loop that keeps the models improving.
Learn fast and go deep. Pick up new tools and new layers of the stack as the work requires, and raise the team's engineering and operational standards as you go.
Partner closely with algorithm engineers and the data-collection / labeling operations team to turn research prototypes into robust, scalable production systems.
Integrate AI tools into your workflow and grow into operating as an architect who directs AI agents - designing the solution, then guiding them to build it.

Were looking for a Senior Backend Engineer to join core engineering group and build the systems behind one of the worlds largest location-analytics platforms.

In this role, youll work on backend services that process and serve billions of data points, power ML-driven insights, and operate at high scale and high reliability. If youre motivated by hard technical challenges, modern infrastructure, and collaborating with strong engineers, this role is built for you.





RESPONSIBILITIES:

Design, build, and evolve large-scale, distributed backend systems that power data and AI products
Own services end-to-end - from architecture and design to production, monitoring, and continuous improvement
Drive performance, scalability, and reliability, using data and metrics to guide decisions
Build infrastructure and data pipelines that support machine-learning, analytics, and real-time use cases
Partner closely with Product, Data Science, and Analytics to turn complex data into impactful product features
Raise the engineering bar through code reviews, design discussions, and technical mentorship

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time – with zero human intervention . Our platform runs in production at global enterprise customers , including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization. We're looking for a Senior Backend Engineer to own core components of our autonomous execution engine. You'll design and scale distributed services that make real-time infrastructure decisions across multi-cloud environments. Nice to Have
* Experience with large-scale data/compute platforms: Spark, Databricks, Trino, Flink, or Snowflake
* Exposure to MLOps / AIOps infrastructure or serving ML models in production
* Background in cloud cost optimization , FinOps, or workload efficiency at scale
* Prior service as a Software/Backend Engineer in an elite IDF technology unit (8200, Mamram, Ofek, etc.) What We Offer Top-of-market compensation + significant equity (above market standard) Direct ownership over core platform architecture and autonomous infrastructure decisions
* Work with founders, engineering leads, and global enterprise customers on mission-critical systems Small, high-impact team that values ownership, speed, and technical depth over process
Ready to build the future of autonomous cloud infrastructure? Hit Apply.

We're looking for a Software Engineer to join our core engineering team and help build the infrastructure behind one of the fastest-growing AI APIs. You'll work on systems that handle massive scale across a distributed microservices architecture running on AWS. You'll ship fast, take ownership of critical systems, and solve hard infrastructure problems as we grow.

This is a great role for an engineer who loves building ambitious systems from scratch, and wants to tackle the kind of scale and complexity challenges typically reserved for much larger companies.

What Youll Do

Design and build high-performance distributed systems

Design and implement backend infrastructure and API endpoints

Build and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors

Improve performance, monitoring, and reliability across the stack

Own core systems and contribute to key architectural decisions

Help shape a strong engineering culture focused on velocity and quality

As a Senior Software Engineer , you will play a pivotal role in shaping experiences that truly make communication accessible for people who are Deaf or hard of hearing. You will work across the stack - designing, building, and maintaining features that turn complex communication challenges into intuitive, high-performance solutions. This role is ideal for an experienced engineer with strong product sense, who cares deeply about users, accessibility, performance, and scalable design.

On a day-to-day, you will:

Own features and systems end-to-end: from understanding the user problem, through architecture, development, and operating it in production.
Design, build, and operate high-scale backend infrastructure serving users with real-time, low-latency requirements.
Collaborate directly with product and engineering to shape what we build, not just how we build it.
Dig into complex production issues - performance, reliability, data processing - and solve them under real constraints.
Continuously improve system architecture, observability, and development practices.
Leverage AI as part of the daily engineering work to accelerate development.

Were launching a new Financial Infrastructure team at our company to build the next generation of our payments and platform capabilities from the ground up. This is a founding engineering role in our Tel Aviv office, with significant ownership, autonomy, and technical influence from day one.
Youll design and build foundational systems that power our companys platform, working on high-impact, mission-critical services and helping set the technical bar for the team.
What youll do:
Own features end-to-end - Take ideas from early concept through production. You wont just write code - youll ship real systems, iterate quickly, and see the impact of your work in production.
Think beyond the task - Take initiative, understand the broader system and business context, and help drive both product and technical decisions. This is not a ticket-driven role.
Leverage AI-accelerated development practices - Use modern AI coding tools to improve development velocity, code quality, and testing efficiency while building robust, secure, and scalable infrastructure.
Backend-focused, full-stack mindset - Your core focus will be backend systems, but youre comfortable operating across APIs, data, infrastructure, and DevOps when needed.
Design for scale - Build backend services that are reliable, maintainable, and architected to scale with the platform.

Required Senior Software Engineer
About the role
As a Senior Software Engineer on the KSPM team, you will join a mission-critical group building and scaling one of the companys core and fastest-growing security products. Our team enables customers to secure their Kubernetes environments across every major cloud provider, delivering deep visibility into cluster misconfigs, RBAC risk, admission control, compliance drift and container vulnerabilities.
In this role you will design the backend services and data models that discover, onboard, scan, and represent K8s workloads, APIs, and configurations at scale. You will own core services end-to-end, drive architectural improvements and partner with security researchers to turn complex threat vectors into actionable insights.
We are looking for backend engineers who care deeply about software design, cloud-native infrastructure, and container security. This is a high-impact role with real ownership - lead features end-to-end, mentor teammates, and help shape the technical direction of our KSPM offering.
Our Stack: Python, Go, K8s APIs, K8s ecosystem tooling (OPA/Gatekeeper, admission controllers), Docker & container runtimes, SingleStore, Postgres, Redis, Kafka, SQS, ElasticSearch, AWS, GCP, Azure.
On a typical day youll:
Design & build at scale: Design, implement, and maintain scalable backend services that discover, onboard, scan, and analyze Kubernetes environments across multi-cloud and managed clusters.
Model K8s security: Map and represent Kubernetes resources as clean data models that surface misconfigurations, exposure risks, and compliance violations.
Integrate detection engines: Integrate and evolve detection engines for container vulnerabilities, secrets, RBAC risks, misconfigurations, and compliance frameworks.
Collaborate on research & product: Partner with security researchers and product managers to translate novel findings and complex requirements into impactful features.
Design for quality: Write clean, well-tested code in Python or Go, with thoughtful abstractions and APIs that keep the system correct and maintainable as it grows.
Lead & mentor: Lead design discussions and code reviews that uphold high engineering and security standards across the team.
Own it end-to-end: Own features through their full lifecycle - from technical specification and design through implementation, testing, and release.

Our engineering team is at the core of how modern data security is built. We are redefining how organizations understand and protect their most sensitive data in a world of growing scale, speed, and complexity. By combining high-performance systems with intelligent, AI-driven capabilities, we challenge traditional approaches and push the boundaries of what data classification can achieve.
Were looking for engineers who thrive in open-ended environments, are energized by hard problems, and are motivated to build solutions that dont yet exist. This role is about more than writing code. Its about shaping how intelligent systems detect, interpret, and protect data across cloud and endpoint environments.
In this role, you will play a central part in designing and building a core classification engine that powers multiple security solutions across the platform. Your work will directly influence how different products identify risk, enforce protection, and operate at scale. Youll work at the intersection of large-scale systems and applied AI, turning raw signals into accurate, reliable insights that help customers secure their data with confidence.
Key Responsibilities
Build and scale AI-driven data classification and detection capabilities for next-generation data security products.
Design systems that identify, classify, and protect sensitive data in real time across cloud and endpoint environments.
Lead technical design discussions and influence architecture for large-scale data processing systems.
Partner with product, infrastructure, and other engineering teams to deliver tightly integrated solutions.
Solve complex engineering challenges related to scale, performance, reliability, and operations.
Raise the technical and collaborative bar by mentoring, sharing knowledge, and improving team practices.
Proactively suggest ideas, lead initiatives, and drive continuous improvement across the product and engineering processes.