דרושים » ניהול ביניים » Senior Full-Stack Developer

As a Senior Backend Engineer, you will be a key contributor in designing, implementing, and optimizing our Backend Engine and application infrastructure. You will collaborate with other team members to ensure our applications are cloud-ready, scalable, and secure - enabling us to stay at the forefront of our industry. You will get a chance to work on a variety of technologies, in a dynamic and fast paced environment.

Responsibilities
Collaborate with cross-functional teams to design, develop, and deploy robust and scalable features for our cutting-edge data analytics platform.
Architect, implement, and optimize backend solutions using Python to ensure seamless data processing, storage, and retrieval.
Collaborate closely with product managers, data scientists, tech-leads to understand requirements, provide technical insights, and deliver high-quality solutions.
Continuously enhance the performance, scalability, and security of the platform and backend services through code reviews, testing, and optimization.
Stay up-to-date with industry trends and emerging technologies; proactively recommending and implementing improvements to enhance the platforms capabilities.

We are growing rapidly and we are seeking a Senior Full Stack Developer to join our technology team. This position will be instrumental in developing new products and capabilities on our platform for our clients.
Responsibilities:
Collaborate closely with Product and Design teams to build new features end-to-end.
Coordinate with engineering and product leadership to define projects that help us meet business objectives.
Support existing platforms including: additions to features, upgrade of technology and implementation of new clients requests.
Work with support to investigate and debug technical support requests and client issues.
Work in an Agile environment, at a sustainable pace of one/two-week sprints.
Continuously learn and evaluate new technologies and guide team decision making.
Mentor, pair, and delegate work to encourage the professional and technical growth of peers.

We are looking for a talented Software Engineer to join a team building an internal, AI-powered platform designed to significantly improve product quality by identifying edge cases and long-tail scenarios in autonomous driving systems.
Using state-of-the-art Vision and Language models, the team is rethinking how training, validation, and stress-testing are done.
This is a highly impactful engineering role focused on building innovative internal products end-to-end- tools developed from scratch that are designed to become part of the companys daily workflows and directly influence core algorithmic and product decisions.
If youre passionate about deep learning-driven products, large-scale experimentation, and owning complex systems from design to production- this is the place for you.
What will your job look like:
Take part in building an AI search platform from scratch, and owning it end to end in a production environment.
Design and implement full-stack solutions, including backend services, frontend interfaces, and database management.
Work with cloud-based systems, containers, and modern software infrastructure to support performance, scale, and reliability.
Collaborate closely with algorithm developers and internal users to expose complex capabilities in a simple, usable way.

We are growing rapidly, and we are seeking a Full Stack Developer to join our technology department. This position will be instrumental in developing new products and capabilities on our platform for our clients.
Responsibilities:
Collaborate closely with Product and Design teams to build new features end-to-end.
Coordinate with engineering and product leadership to define projects that help us meet business objectives.
Support existing platforms including: additions to features, upgrade of technology and implementation of new clients requests.
Work with support to investigate and debug technical support requests and client issues.
Work in an Agile environment, at a sustainable pace of one/two-week sprints.
Continuously learn and evaluate new technologies and guide team decision making.
Mentor, pair, and delegate work to encourage the professional and technical growth of peers.

We are looking for an exceptionally strong software engineer to join our Technology organization. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow - from writing and reviewing code, to automating operational toil, to building internal copilots and agentic tools that the whole team relies on. You won't just use AI to move faster; you'll help shape how it's applied across our engineering practice.
Design and build data pipelines and the data layer.
Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale.
Implement and enhance quant-related software systems for data, research, portfolio construction, and trading.
Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions.
Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation.
Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows.
Use AI coding assistants and agentic developer tools to ship higher-quality software faster.

we are looking for a Solution Engineer.
The Demand Forecasting team is at a pivotal, high-growth stage. This role is highly dynamic, requiring a blend of technical depth and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities:
Lead and support customer-facing Demand Forecasting use cases from discovery through deployment
Work hands-on with customer data to design, test, and validate forecasting solutions
Act as a trusted analytical and technical advisor to customers, deeply understanding their business context and datasets
Analyze and explain model outputs and complex analytical concepts in a clear, business-oriented way
Troubleshoot technical and data-related challenges and drive them to resolution
Collaborate closely with Data Science and Customer Success teams, providing structured feedback from customer use cases
Help customers achieve measurable business impact and adoption of Demand Forecasting module

Alice is hiring a Senior Software Developer to lead the development of our internal malware research platform. This is a senior, hands-on role with end-to-end ownership of development and delivery. You'll be the technical authority — setting code-quality standards, making the architecture calls, and mentoring the developer team. What makes this role different is who you build for. Our users are our malware researchers, and they use the tool every day. Your job is to sit beside them, learn how they actually work, surface the heuristics and edge cases they carry in their heads, and build agentic tooling that compounds their productivity. The bar isn't "does it ship" — it's "do the researchers reach for it every day." Success is measured in researcher adoption and time saved, not features merged. Agentic workflows are core to how we build. You should be fluent using them and confident designing systems where agents run in production — with clear judgment about where an agent earns its keep versus where deterministic code or a human-in-the-loop is the right call. What You'll Do Lead development and delivery
* Own technical execution end-to-end: implementation, code review, and release.
* Translate research workflows and feature requests into well-scoped tasks with realistic, risk-aware estimates the team can plan against.
* Manage day-to-day execution: unblock people, sequence work, catch problems early.
* Set and defend the technical bar: review rigor, testing discipline, documentation, architectural consistency. Partner with the researchers — and amplify them
* Embed with malware researchers to understand their workflow and capture the tacit knowledge and edge cases no spec ever wrote down.
* Translate that knowledge into reliable agentic tooling — and know when an agent is confidently wrong before it ever reaches a researcher.
* Spend roughly 5–10% of your time doing actual malware research (with structured onboarding) to stay close to how the tool is used.
* Be willing to tell a researcher when a proposed workflow won't automate well — and explain why. Be the technical authority and mentor
* Make the hard architecture and design trade-off calls.
* Mentor through code review, pairing, and design discussions. Raise the level of everyone around you.
* Dive deep on the critical, difficult features and bug fixes yourself.
* Design agentic workflows into the architecture from the start, and build the evaluations and guardrails that keep them trustworthy.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

As the Software Group Lead, you will be the primary architect and execution lead for a cutting-edge missile interceptor system. This is a high-stakes executive role requiring a rare blend of low-latency embedded engineering and high-level Command & Control (C2) orchestration. You will be responsible for building a multi-disciplinary software team from the ground up, defining the software lifecycle, and ensuring the seamless integration of missile subassemblies with ground-based mission control.
We are looking for a "builder" mentality, capable of switching between high-level architectural strategy and driving end-to-end delivery from concept to field deployment.
Why Join us?
This is a unique opportunity to be at the heart of a defense-tech startup during its most exciting growth phase!
The SW Group Lead will report directly to the CTO and act as a member of the company's leadership.
Responsibilities
Team Leadership: Recruit, mentor, and manage a high-performance team of embedded, full-stack, and GNC (Guidance, Navigation, and Control) engineers.
System Architecture: Design the end-to-end software stack, from real-time operating systems (RTOS) on the interceptor to the distributed microservices of the ground station.
Execution & Integration: Oversee the development of flight software, sensor fusion algorithms, and secure communication protocols between the interceptor and C2.
AI-Driven SDLC: Implement and champion the use of modern AI coding tools (GitHub Copilot, Cursor, Claude Code, etc.) across the entire software lifecycle to accelerate development cycles without compromising safety-critical standards.
Strategic Oversight: Align software milestones with hardware integration, testing phases (HIL/SIL), and field trials.
Key Interfaces: Works closely with Hardware Engineering leads (mechanical, electrical, GNC), Program Management, and Systems Engineering teams internally; externally interfaces with defense customers, government program offices, and key technology vendors.

We are looking for an exceptional Security Researcher to join world-class security research organization. Looking for an experienced researcher in the cybersecurity world with depth, and excellence in cloud-native security research.
As a Security Researcher, you will work on deep technical research on several areas - working with other researchers, and transforming advanced offensive insights into scalable defensive capabilities.
What You Will Do:
Research and analyze sophisticated attack techniques targeting Linux-based cloud-native systems, including Kubernetes, containers, and serverless environments.
Reverse engineer Linux malware families to extract behavioral patterns, execution flows, and persistence mechanisms.
Study real-world threat actor techniques and translate findings into actionable detection, prevention, and hardening strategies.
Design and prototype advanced detection logic and observability mechanisms, including kernel- and runtime-level approaches (e.g., eBPF).
Influence strategy by turning research insights into capabilities that protect large-scale production environments.
Collaborate closely with engineering and product teams to ensure research outcomes are impactful and scalable.