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We're looking for a backend Software Engineer to join our GeoTech team as a key contributor. In this role, you'll help process and structure all data coming into our product, execute data pipelines, and maintain data quality. Your role will be pivotal in creating a unified, up-to-date, and accurate utilities map, services, and applications for accelerating our mapping operations. Your contributions will directly impact our core product's success.





Key Responsibilities

Lead the design and implementation of software solutions, ensuring alignment with project goals and objectives.
Provide technical guidance to team members, fostering a collaborative and supportive team culture.
Collaborate with cross-functional teams, including product managers, designers and QA engineers, to deliver high-quality software products.
Design and implement CI/CD processes for data processing, releasing, testing and monitoring, ensuring robustness and consistency.
Create and manage data infrastructure components, including ETL workflows, databases, supporting seamless data flow and accessibility.
Develop and optimize complex Python-based applications and services to allow more efficient data processing capabilities, enhancing quality and accuracy of our data.
Conduct technical reviews of third-party tools, frameworks and technologies.
Identify technical debt and areas for improvement, implementing solutions to enhance code quality and maintainability.
implement technologies, industry trends and software development methodologies.

We're seeking an experienced Software Engineer with a strong background to become an integral member of our Data-Core team, tasked with the mission of processing, structuring, and analyzing hundreds of millions of data sources. Your role will be pivotal in creating a unified, up-to-date, and accurate utilities map, services, and applications for accelerating our mapping operations. Your contributions will directly impact our core product's success.





Responsibilities



Collaborate with cross-functional teams to design, build, and maintain data processing pipelines while contributing to our common codebase.
Contribute to designing and implementing data architecture, ensuring effective data storage and retrieval.
Develop and optimize complex Python-based applications and services to allow more efficient data processing and orchestration, enhancing the quality and accuracy of our datasets.
Drive the scalability and performance optimization of data systems, addressing infrastructure challenges as data volume and complexity grow.
Create and manage data infrastructure components, including ETL workflows, databases, supporting seamless data flow and accessibility.
Design and implement CI/CD processes for data processing, model training, releasing, testing and monitoring, ensuring robustness and consistency.
Implement geospatial data processing techniques and contribute to the creation of our unified utilities map, enhancing the product's geospatial features.

Were growing rapidly and looking for superstars to join our rocketship. Were looking for a Senior DevOps to lead our cloud infrastructure architecture. This role is critical in supporting our short and long-term product expansion plans. Youll join an innovative, high-performance R&D department and work with cutting-edge technologies in a dynamic and agile environment.

Build a SaaS product to serve thousands of global customers in a modern and scalable way.
Help us choose our DevOps technical stack which will make our work faster and more efficient, utilizing state-of-the-art tools alongside researching for new innovative techniques.
Implement automation, effective monitoring, and infrastructure-as-code. Deploy and maintain CI/CD pipelines across multiple environments.
Deploy and maintain critical applications on cloud-native microservices architecture
Grow and evolve as part of the R&D team!
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As a Technical Leader, you will be at the forefront of advancing Tetragons capabilities. You will guide architectural direction while staying deeply engaged in building the systems that power our platform. Your impact will span designing high-performance data pipelines, optimizing database and distributed system performance, and ensuring massive streams of system events can be ingested, aggregated, and distilled into meaningful intelligence.

You will collaborate closely with teams across Cisco, including Hypershield and Splunk, to create the integration points that transform raw data into actionable insights for enterprise security. In this role, youll solve some of the most complex system-level challenges in observability and infrastructure, helping Tetragon evolve to meet the needs of modern cloud-native environments.





What youll do:

Develop high-quality Go (and eBPF) code for the Tetragon project.

Design and implement new Tetragon features to enhance its capabilities for Runtime security detection and enforcement

Design and optimize systems for large-scale Tetragon deployment and operation in K8s or VM platforms

Architect infrastructure that converts raw event data into intelligence streams with minimal performance overhead.

Contribute to open-source projects and represent Cisco Isovalent in community discussions.

Participate in architecture reviews, code reviews, and documentation.

We are looking for a Senior Software Engineer to build infrastructure that helps AI workloads start faster and run efficiently at scale. Youll work with Python, Go, Kubernetes, and distributed systems, and help lead an open-source project.

What youll be doing:
Develop scalable services, APIs, and libraries for managing and loading AI models and data.
Integrate cloud infrastructure, storage, and AI frameworks in Kubernetes environments.
Help guide an open-source projects technical direction, review contributions, and coordinate releases with the community.
Deliver features from design through production, improving performance and reliability through testing, monitoring, and benchmarking.
Collaborate with engineers and product managers, contribute to technical decisions, and share knowledge.

We are looking for a Sr. Staff Backend Engineer to join our team. This is a Hybrid (Ramat Gan) role, reporting to the Manager, Software Engineering in the Exposure Management & Security Operations department. Avalor, now part of Zscaler, powers the data foundation behind Security Operations platform, ingesting, unifying, and contextualizing data from hundreds of security and business tools to power security modules that deliver actionable insights and measurable risk reduction to our customers. In this role, you'll own complex backend systems that sit at the heart of our data platform, designing and building services that ingest, process, and move massive amounts of data reliably and at scale for enterprise customers worldwide.

What youll do (Role Expectations)

Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java/Spring Boot and Python
Designing and building data pipelines and ETL workflows that ingest, transform, and unify data from diverse sources at enterprise scale
Leading solutions from scratch to production; creating technical designs, driving architectural decisions and taking full ownership of complex projects - from design and implementation through deployment, monitoring performance, reliability and cost, and proactively driving improvements
Collaborating closely with cross-functional partners - product managers, frontend/backend engineers and UX designers
Serving as a technical anchor for the team - leading design discussions, setting engineering standards, and driving best practices across the codebase
Who You Are (Success Profile)

You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

Join a team of highly motivated developers to work together to fill growing software and scaling needs
Work on a range of customer-facing and internal projects, including scaling up our web-based and infrastructural software and internal security and insurance tools
Directly work on matters that are critical to the company, building software that is used actively by our insurance team and our customers whilst solving challenging software problems
Writing well-tested, organized and robust code to support a rapidly growing organization
Proactively taking on software tasks to give efficient turnaround to the requirements of the rest of our international company
Work in a modern software environment with continuously deployed and integrated code in our cloud-based infrastructure
Taking responsibility of your code, quickly responding to bugs and making sure new and existing software runs smoothly
Communicating and working openly with other developers to solve problems and produce high-quality code

we are looking for a Staff Endpoint Software Engineer, Prompt.
As a Staff Backend Software Engineer, youll build the lightweight security components that power our Generative AI Security platform. This includes developing core sensors and enforcement mechanisms that operate across diverse environments-from endpoints and browsers to production workloads-enabling real-time, adaptive security. Youll collaborate with expert engineers, tackle high-impact security challenges, and expand your expertise in AI security, helping to shape the next generation of protection at scale.

In this role, you will architect and implement large-scale distributed systems, low-level platform components, and high-performance services that underpin core product stack. You will drive technical strategy across system reliability, performance, and scalability, partnering closely with product, infrastructure, and data engineering teams to deliver systems that operate at global scale with high availability and efficiency.
Software Engineer, Systems Responsibilities
Architect and implement large-scale distributed systems and platform services that support high-throughput, low-latency workloads across Meta's product infrastructure
Lead the technical design of systems components including storage layers, compute pipelines, networking abstractions, and service orchestration frameworks
Identify and resolve systemic performance bottlenecks through instrumentation, profiling, and targeted optimization across the full systems stack
Define and enforce service level objectives for owned systems, building dashboards, alerting pipelines, and runbooks to reduce mean time to mitigation during incidents
Drive reliability improvements by reducing failure surface, designing resilient rollout strategies, and leading regular resiliency and overload testing exercises
Collaborate with cross-functional partners across product engineering, infrastructure, and data science to align system architecture with evolving product and business requirements
Establish and evolve coding standards, architectural patterns, and engineering best practices for systems development across the broader organization
Leverage AI-assisted development workflows to accelerate design iteration, code generation, and systems analysis, applying sound judgment on when to rely on AI versus deep systems expertise
Mentor other engineers on systems design principles, debugging methodologies, and production operations, and contribute to onboarding programs for new team members
Lead incident retrospectives, identify root causes of complex production failures, and drive implementation of systemic improvements to prevent recurrence

In this role, you will operate as a company-level expert in product analytics, partnering with Product, Engineering, and cross-functional leadership to translate complex, large-scale behavioral data into actionable insights that shape the experiences of billions of people worldwide. You will lead the design of rigorous analytical frameworks, advance forecasting and predictive modeling capabilities, and influence the highest-priority product investments through data-driven storytelling and strategic recommendations.
Data Scientist, Product Analytics Responsibilities
Lead the design and execution of complex analytical projects across product areas, applying advanced statistical methods, causal inference, and experimentation to evaluate product impact at scale
Develop and maintain sophisticated predictive models and forecasting frameworks to inform product roadmaps, goal setting, and resource prioritization
Define and evolve success metrics and measurement strategies for product initiatives, ensuring goals accurately reflect user and business value
Identify and size high-impact product opportunities by synthesizing behavioral data, qualitative signals, and business context across multiple data sources
Partner with Product and Engineering teams to design and analyze large-scale A/B tests and feature rollouts, translating results into clear recommendations for product direction
Build scalable, self-service data pipelines and visualization interfaces that enable cross-functional teams to explore and act on product performance data independently
Communicate complex analytical findings to diverse audiences including product leadership and executives through concise, compelling data narratives and presentations
Contribute to functional data science strategy by proactively identifying methodological gaps, championing analytical best practices, and setting goals across teams
Mentor other data scientists on analytical design, hypothesis formulation, and quantitative modeling, elevating the overall quality and rigor of the team's work
Collaborate with Data Engineering and Research partners to improve data infrastructure, eliminate bias in data collection, and ensure analytical outputs accurately represent the populations of interest

We are looking for a Security Researcher to join our team; an enthusiastic, autodidact who is passionate about analyzing vulnerabilities and malware techniques.
He/she will build offensive breach scenarios, integrating the latest security knowledge into the SafeBreach platform of threats and 1-day exploits.

We are building the first Neuron performance engineering team in Tel Aviv. As a Machine Learning Performance Engineer, you'll help shape the direction of this team from the ground up - profiling and optimizing workloads across the full ML software stack, writing high-performance kernels, and improving the Neuron SDK that external developers depend on. You'll work at the boundary between software and hardware, collaborating directly with compiler, runtime, and chip design engineers to close performance gaps customers care about.

The team is new and small, which means broad scope, direct ownership, and real influence over the technical direction we take. If you enjoy digging into performance bottlenecks and turning analysis into measurable wins, this role is for you.

Key job responsibilities
Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models.
Profile ML workloads end-to-end to identify bottlenecks - memory, compute, or communication - and drive optimizations through to a measured improvement.
Enhance the programming model and tooling that kernel and model developers rely on, improving usability and debugging workflows.
Identify and drive optimization opportunities across the Neuron software stack (compiler, runtime, frameworks).
Document software designs, operational runbooks, and performance findings so the broader team can build on your work.

A day in the life
You might start your morning reviewing profiling data from a customer's large diffusion model training job, tracing a utilization gap back to a specific kernel. After a design discussion with compiler engineers about a new operator fusion strategy, you spend the afternoon writing and benchmarking a kernel prototype. Later, you review a teammate's pull request for a runtime optimization and share your findings in a short write-up for the broader Neuron organization. Your work directly translates into faster model execution and lower cost for AWS customers running ML workloads at scale.

As a Product Manager at Balance, you will own and evolve core product experiences that power how businesses manage and optimize their financial workflows. You will lead cross-functional initiatives across engineering, design, sales, and customer teams to deliver scalable, reliable, and intuitive solutions. As part of our evolution, you will help shape AI- and agent-driven workflows that redefine how financial operations are built and experienced. You will drive product initiatives end-to-end, identify new opportunities for growth, and ensure alignment with business goals and regulatory requirements.

Responsibilities
Own a core product domain, driving strategy, execution, and outcomes.
Collaborate with cross-functional teams including engineering, design, sales, and marketing to define requirements and deliver high-impact solutions.
Work closely with internal stakeholders and external partners to understand APIs, integrations, and system constraints.
Engage directly with customers and prospects to understand their workflows, validate solutions, and support enterprise conversations.
Translate complex business processes into simple, scalable, and user-friendly product experiences.
Define and ship AI-powered and agent-based product capabilities, both in customer-facing workflows and internal tooling.
Continuously monitor and improve product performance across both technical reliability and key business metrics.
Stay informed about industry trends, regulatory changes, and emerging technologies to identify new opportunities.

Were hiring an AI Backend Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of AI/ML/Backend engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

Were hiring a ML Engineer to accelerate AI-driven innovation across B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.