דרושים » תוכנה » Senior Platform Engineer

As a Backend Software Engineering, your job responsibilities will include:
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level).

Were looking for a Senior Infrastructure Engineer who views "Infrastructure as Software." In 2026, we dont just manage servers; we build high-performance environments that allow multi-agent systems to operate at scale.
You will be a core member of the R&D team, blending deep DevOps expertise with the coding rigor of a Backend Engineer. You arent just "configuring" AWS; you are architecting the distributed systems and data pipelines that power our autonomous security brain. Your mission is to ensure that while our agents are evolving and taking actions, our underlying platform remains immutable, observable, and infinitely scalable.
What You'll Do
Design, build, and operate our company's cloud infrastructure using AWS, Kubernetes, and Infrastructure as Code.
Build internal tools and platform services using Python and Go to improve developer productivity and system reliability.
Own infrastructure automation with Terraform, Pulumi, and modern cloud-native tooling.
Partner closely with Backend, Data Science, and Security Engineering teams to build scalable, reliable platforms.
Improve observability, monitoring, and incident response across distributed production systems.
Design and optimize infrastructure for performance, scalability, security, and cost efficiency.
Help shape engineering best practices, platform architecture, and developer experience as our company continues to grow.

As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We are looking for someone who is not only strong technically, but also enjoys joining a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Key Responsibilities
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.

As a Senior Platform Engineer you will help deliver a smooth and consistent developer experience to our product/AI teams. This enables them to iterate quickly and deliver products faster to the market. The team aims to streamline development processes, reduce friction and provide developers with the right tools and infrastructure to build high-quality software efficiently which effectively aligns technical execution with our business objectives. Our techstack includes AWS, Python, RDS, EKS, ECS, RMQ and Redis.

You will:
You will have a direct impact on devs' daily smile :) , by focusing on their Devex and velocity through implementing and providing easy and intuitive self serve tools

Lead the design and implementation of infrastructure of complex, time-critical microservices systems, collaborating with AI, data, and product teams to ensure high-quality code using latest technologies while maintaining high developer velocity.

Drive improvements to backend infrastructure, focusing on scalability, reliability, and performance to enhance the daily experience and productivity of developers, including implementing intuitive self-serve tools.

Contribute to defining and realizing the technology vision of the company, evaluating and integrating new technologies to enhance platform capabilities including Gen AI, and troubleshooting complex issues to ensure platform performance and availability. Proactively establish and maintain CI/CD practices and processes including hybrid envs.

Enhance system scalability, performance, and reliability.
What success looks like:

Leading the design and implementation of infrastructure for complex microservices systems, ensuring high-quality code, and maintaining a high pace of development while collaborating effectively with other teams.

Driving improvements to the backend infrastructure, focusing on scalability, reliability, and performance to enhance the daily experience and productivity of developers.

Contributing to the company's technology vision by evaluating and integrating new technologies, including Gen AI, and troubleshooting complex issues to ensure platform performance and availability.

Working closely with development teams to support architecture best practices and enhance system scalability, performance, and reliability.

Mentoring and advising other team members in code review, performance, scalability, and more.

Demonstrating excellent communication and collaboration skills, and being a team player with a highly motivated, can-do approach.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Staff Software Engineer in the Detection Platform group, you will be tasked with being the technical authority responsible for defining and evolving the architecture of the cloud-native systems that power our AI SIEM detection, hunting, and response capabilities, including large-scale real-time detection engines, stateful detection engines, anomaly detections, ML pipelines, agentic SOC and threat-hunting capabilities. You will lead the design and execution of backend systems that process billions of events and several petabytes of data daily and serve tens of thousands of security specialists at enterprise and government customers worldwide. Your technical leadership will bridge long-term architectural strategy and high-velocity product delivery, and you will drive cross-team initiatives that shape how detection and response are built and operated across the group.

we are looking for a Senior Full Stack Engineer to join our Engineering team. In this role, you will lead the design and development of end-to-end features across our gifting platform, with a strong focus on backend architecture. Youll play a key role in shaping scalable systems, driving technical decisions, and delivering high-impact solutions in a fast-growing, cloud-based SaaS environment.

Working with modern technologies such as React, Node.js, TypeScript, Serverless architecture, and Kafka, you will collaborate closely with product, design, and data teams to build reliable, performant, and user-centric experiences. You will also help evolve our engineering standards, development processes, and use of emerging tools-including AI-to improve team productivity and product quality.



You will
Lead the design and implementation of complex, scalable systems end-to-end (frontend and backend, with backend focus)

Own projects from ideation through production, including architecture, development, deployment, and monitoring

Make and influence key technical decisions, balancing speed, scalability, and maintainability

Collaborate cross-functionally to translate business needs into robust technical solutions

Drive best practices in code quality, testing, observability, and security

Mentor engineers through code reviews, design discussions, and knowledge sharing

Continuously improve development processes, tooling, and team efficiency

Contribute to a strong engineering culture of ownership, accountability, and continuous learning

we are looking for a AI Staff Software Engineer, ML Platform.
This is a Principal AI Software Engineer role at the heart of AI Engineering group-where algorithms, infrastructure, and products intersect. Youll lead the evolution and scaling of AI architecture, ensuring reliability, efficiency, and impact across global clinical workflows. The role combines technical depth with cross-functional influence, strengthening how our AI systems are built, integrated, and delivered to drive ongoing impact for patients and care teams.
Responsibilities:
Lead cross-domain engineering initiatives connecting AI algorithms (CV, NLP, and deep-learning systems), software, and data systems-from design to delivery.
Stay hands-on, contributing to AI-serving (training and inference), integration, and orchestration components while setting high technical standards.
Partner with Algo teams to connect algorithmic innovation with strong system design, ensuring smooth delivery across Product and Engineering.
Guide architectural evolution, ensuring efficiency, consistency, and maintainability across AI workflows.
Communicate direction and priorities clearly, aligning teams around technical goals.
Mentor engineers and promote technical excellence, sound design, and shared best practices.
Foster collaboration and shared ownership, helping maintain a culture that values clarity, curiosity, and technical excellence.
Uphold quality and reliability-including clean code, testing, and CI/CD discipline-while evaluating and adopting new tools that enhance performance and long-term scalability.

We're looking for a hands-on Senior AI Engineer to provide technical leadership within our Generative AI team.
This role is designed for engineers who enjoy combining deep hands-on development with technical leadership. You'll drive technical decisions, shape solution architecture, mentor engineers, and help define engineering best practices while remaining actively involved in designing and building production-grade AI solutions.
Working closely with customers and multidisciplinary teams, you'll help transform complex business challenges into scalable AI systems that deliver measurable business value.
What You'll Do:
Lead the technical design and delivery of end-to-end GenAI solutions, from architecture through production deployment.
Design, build and maintain production-grade AI applications and backend services using Python.
Develop LLM-powered solutions, including retrieval-based architectures, AI agents and orchestration workflows.
Drive architecture decisions for prompt engineering, retrieval pipelines and model evaluation.
Translate business requirements into scalable AI architectures and technical solutions.
Provide technical leadership through design reviews, code reviews and engineering mentorship.
Contribute to engineering standards, best practices and technical excellence across projects.
Evaluate emerging AI models, frameworks and technologies, incorporating them into production solutions where appropriate.

We're looking for a Senior Software Engineer to join our Accounts Payable (AP) group and own mission-critical domains powering high-scale financial workflows. You'll work inside an AI-native feature factory, real infrastructure, real tooling, and a team that treats AI as a core part of how software gets designed, built, tested, and shipped.
You'll design and evolve scalable systems for invoice processing and bill lifecycle management, applying spec-driven design, SOLID principles, proven design patterns, and strong automated-testing standards, and you'll help set the bar for what AI-augmented engineering looks like at scale.
We're looking for a collaborative team player with strong ownership and a proactive, innovative mindset, someone who challenges the status quo, drives work to a complete and deterministic finish, and is genuinely excited about what AI-augmented engineering unlocks.
In this role, you will:
Design and build scalable, high-performance microservices in a complex, high-volume financial production environment
Own critical components end-to-end and architect systems that perform under load and support future scale
Lead technical design discussions and influence architectural decisions
Drive spec-driven development with SOLID principles and proven design patterns
Write clean, maintainable, testable code with strong emphasis on unit and integration testing
Improve production quality, observability, and reliability standards
Collaborate closely with Product, Architects, DevOps, and cross-functional teams
Lead and mentor engineers, setting high engineering standards
Push the frontier of AI-assisted development - using AI tools hands-on across design, coding, testing, and review to raise the bar on both speed and quality

We are looking for people who are passionate about leading technology to the extreme .If you are striving to develop an innovative product, make an impact, and work with the industrys brightest talent as part of one of the fastest-growing and successful startups around
What will you actually be doing?
Designing, developing, testing, deploying, and maintaining web applications using modern front-end and back-end technologies, including Node.js, React, TypeScript, JavaScript, and Python.
Leveraging AI-powered development tools such as Claude Code to accelerate development workflows, automate repetitive tasks, and improve code quality.
Leading server-side development using microservices architecture to ensure scalable and robust application performance.
Driving the design and implementation of micro frontend architecture, leveraging the industrys latest trends.
Mentoring junior and mid-level engineers through code reviews, pair programming, and technical guidance.
Collaborating with cross-functional teams, including product managers, designers, and other developers, to define technical direction and deliver high-quality applications.
Making architectural decisions and championing engineering best practices across the team.
Integrating AI and LLM capabilities into development pipelines and product features where applicable.