דרושים » תוכנה » Software Engineer, Backend

We are seeking an exceptional Senior Backend Engineer to join our Platform Group, where you will architect and develop shared infrastructure components that power enterprise security and identity products. This is a highly collaborative role requiring both technical excellence and strong cross-functional partnership skills.
What You'll Do:
As a Senior Backend Engineer on our Core Platform team, you will:
Design and build shared platform components used across multiple product teams, ensuring scalability, reliability, and maintainability
Architect distributed systems using microservices and event-driven patterns that support enterprise-scale workloads
Own critical backend services from conception through deployment, including code quality, performance optimization, and operational excellence
Collaborate extensively with product engineers, DevOps, and architects to define platform capabilities and technical standards
Mentor junior engineers through code reviews, pair programming, and technical guidance
Drive technical initiatives that improve developer productivity, system observability, and platform resilience
Contribute to architectural decisions and establish best practices for backend development across the organization
Analyze system performance and data patterns to identify optimization opportunities and inform future platform investments

Join our fast growing team, and help put the power of automation in the hands of every security professional.
About the Role:
As a Senior Platform Engineer (Backend), you will play a key role in shaping the core infrastructure and architecture of our platform. You will be deeply involved in hands-on development, contribute to technical design, and help drive engineering excellence. In this role, you will collaborate with other engineers, share best practices, and take part in building scalable, high-quality backend systems.
Your responsibilities:
Design, develop, and test cloud-native microservices and backend components with high standards of scalability, reliability, and security
Own key areas of the platform's infrastructure and contribute to the architecture of enterprise-grade systems
Collaborate with engineering and product teams to translate business needs into robust technical solutions
Work across a modern tech stack including cloud services, Linux, Docker, Kubernetes, and CI/CD pipelines
Drive best practices in code quality, system design, observability (logs, metrics, tracing), and testing
Stay up to date with emerging technologies and help evaluate tools that support platform evolution
Share knowledge through code reviews and technical discussions, fostering a culture of continuous improvement

We are looking for a Senior Software Engineer to join our Sensors Team and play a key role in the development of our Endpoint Sensor (Agent) platform. This is a hands-on senior position with strong technical ownership, focused on designing, building, and maintaining high-performance endpoint sensors across multiple operating systems.
In this role, you will work closely with sensor, analysis, and platform teams to ensure reliable, efficient, and scalable data collection in highly complex and demanding customer environments. The position requires deep systems knowledge, strong problem-solving skills, and the ability to influence technical direction through technical expertise.
RESPONSIBILITIES:
Design, implement, and maintain endpoint sensors on Windows, macOS, and multiple Linux distributions, including installation processes and shared APIs
Take technical ownership of key components within the endpoint sensor stack, ensuring high performance, reliability, and low resource footprint
Collaborate with cross-functional engineering teams to define APIs, schemas, and data flows, ensuring data accuracy, availability, and correctness across the system
Participate in architectural and design discussions, contributing to technical decisions and long-term system evolution
Identify and implement improvements across the system, from core business logic to new data sources and monitoring capabilities
Troubleshoot and resolve complex issues related to sensor deployment, behavior, and performance across different operating systems and environments
Maintain high engineering standards, including code quality, testing, documentation, and maintainability, while working within an agile development process

We are looking for a Platform Engineering Team Lead to join our team and drive the evolution of our platform infrastructure and shared services.
What you will be doing: As the Platform Engineering Team Lead at Semperis, your role involves guiding a proficient team in building and scaling the foundational platforms that power our products. You will collaborate with product teams, infrastructure architects, and engineering leaders to define and implement our platform strategy.
Providing technical leadership and guidance for platform architecture, design patterns, and code reviews.
Tracking team development process and being accountable for platform service delivery, reliability, quality, and timelines.
Setting high-quality standards for platform services, seeking and choosing technical solutions to meet current and future needs.
Taking a leading role in design and implementation of shared platform components, APIs, and infrastructure services.
Driving platform adoption across engineering teams and establishing best practices for platform consumption.
Being responsible for the growth and evolution of your team members and providing career development and mentorship.

The Agentless Scanning team is expanding our security platforms capabilities by delivering comprehensive cloud protection that complements our industry-leading agent technology. Weve evolved from pioneering Data Security Posture Management (DSPM) to building a unified agentless platform that combines data security with vulnerability scanning, providing complete visibility across multi-cloud environments.

Our technology scans cloud workloads, identifies vulnerabilities, and secures sensitive data across AWS, Azure, and GCP - extending our protection to cover every aspect of your cloud infrastructure. Were solving some of the most challenging problems in cloud security: how to provide deep visibility and protection at scale across diverse cloud services and configurations.

Were a team of builders and innovators who thrive on complex technical challenges. If youre energized by distributed systems, cloud-native architectures, and the opportunity to protect thousands of organizations worldwide, we want to hear from you.

Join us in expanding our security platform, where innovation meets impact.

What Youll Do:

Architect and build scalable backend services that scan millions of cloud resources daily across multi-cloud environments.

Design and implement distributed systems that process massive volumes of security data with high reliability and low latency.

Develop agentless scanning capabilities for vulnerability detection, configuration assessment, and data security across cloud workloads.

Collaborate cross-functionally with security researchers, product managers, and fellow engineers to deliver features that customers love.

Own features end-to-end - from design and implementation through deployment, monitoring, and iteration.

Drive technical excellence through code reviews, architectural discussions, and mentoring team members.

Solve complex challenges in cloud security, data processing, and distributed systems at enterprise scale.

The Agentless Scanning team is expanding our security platforms capabilities by delivering comprehensive cloud protection that complements our industry-leading agent technology. Weve evolved from pioneering Data Security Posture Management (DSPM) to building a unified agentless platform that combines data security with vulnerability scanning, providing complete visibility across multi-cloud environments.

Our technology scans cloud workloads, identifies vulnerabilities, and secures sensitive data across AWS, Azure, and GCP - extending our protection to cover every aspect of your cloud infrastructure. Were solving some of the most challenging problems in cloud security: how to provide deep visibility and protection at scale across diverse cloud services and configurations.

Were a team of builders and innovators who thrive on complex technical challenges. If youre energized by distributed systems, cloud-native architectures, and the opportunity to protect thousands of organizations worldwide, we want to hear from you.

Join us in expanding our security platform, where innovation meets impact.

What Youll Do:

Architect and build scalable backend services that scan millions of cloud resources daily across multi-cloud environments.

Design and implement distributed systems that process massive volumes of security data with high reliability and low latency.

Develop agentless scanning capabilities for vulnerability detection, configuration assessment, and data security across cloud workloads.

Collaborate cross-functionally with security researchers, product managers, and fellow engineers to deliver features that customers love.

Own features end-to-end - from design and implementation through deployment, monitoring, and iteration.

Drive technical excellence through code reviews, architectural discussions, and mentoring team members.

Solve complex challenges in cloud security, data processing, and distributed systems at enterprise scale.

We are seeking We are seeking an experienced Senior Generative AI Engineer (LLMs & Agents) to join our AI squad at KPMG. This role blends deep hands-on engineering with architectural responsibility and client-facing advisory work.
You will design, build, and operate production-grade LLM and multi-agent systems, working on both greenfield initiatives and the evolution of existing GenAI platforms.
You will play a key role in shaping technical direction, best practices, and delivery standards across the GenAI practice.
Key Responsibilities:
GenAI Development & Implementation
Build end-to-end GenAI solutions from POC through production deployment
Design and implement backend microservices architectures for GenAI applications using Pytho
Design, implement, and maintain production-grade Python services with a focus on code quality, performance, and reliability
Architect and develop multi-agent systems, orchestration layers, and autonomous workflows
Integrate and optimize LLMs and GenAI APIs across complex systems
Evaluate and improve system performance, scalability, reliability, and cost efficiency
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures
Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders
Provide strategic technical guidance on GenAI adoption and system design
Cloud & Platform Ownership
Deploy and manage GenAI systems across GCP, Azure, and AWS
Leverage cloud-native AI services (Vertex AI, Azure OpenAI, SageMaker, etc.)
Own production environments, monitoring, and operational excellence
Continuous Learning & Practice Development
Evaluate emerging GenAI models, frameworks, and techniques
Define and refine best practices for GenAI system development and deployment
Contribute to internal accelerators, methodologies, and knowledge sharing

Your Role:

Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long-term maintainability.

Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.

Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.

Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.

Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.

Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

We are looking for an Engineering Manager to lead the evolution of our engineering foundations - across both frontend and backend domains.

This role blends technical leadership, team management, and strategic impact. Youll guide a multidisciplinary team responsible for developer experience, infrastructure, and governance across the R&D organization.

The teams mission is to increase developer velocity, ensure product quality, and strengthen engineering consistency across all our products - from web applications to backend microservices.


What Youll Do


Technical & Strategic Leadership

Define and own the vision and roadmap for our development platform, including web, backend, and AI-enablement initiatives.

Partner with engineering leadership, architects, and product teams to remove friction and increase velocity across R&D.

Establish and govern engineering standards, testing practices, and secure development workflows.

Lead the evolution of our shared frameworks, build systems, and developer tools for scalability and security.


Frontend & Web Infrastructure

Own and evolve the UI development ecosystem, including build systems, testing frameworks, and local development experiences.

Govern our shared UI kit and design system, ensuring consistency, accessibility, and performance across all products.

Partner with UX and product engineers to create a cohesive, maintainable frontend foundation.


Backend & Microservices Infrastructure

Oversee and guide the microservices development framework, templates, and communication patterns.

Optimize monorepo builds, CI/CD pipelines, and runtime standards for efficiency, reliability, and observability.

Implement infrastructure-level protections that improve product quality and prevent regressions.


AI Enablement Across R&D

Champion and integrate AI-assisted development tools (code generation, code review, testing, documentation).

Define patterns and best practices for AI-driven workflows, enabling teams to move faster with higher quality.

Partner with data, DevOps, and product teams to explore how AI can optimize engineering processes and infrastructure.


People & Collaboration

Lead, mentor, and grow a cross-functional team of backend, frontend, and platform engineers.

Foster a culture of technical excellence, innovation, and continuous improvement.

Collaborate closely with Product, UX, Security, and DevOps leaders to align strategy and execution.

Were looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
As a Software Engineer on the Security Intelligence & Engagement team, youll be part of a domain responsible for closing the loop between security insight and action across the platform.
Our team builds the systems that transform large-scale cloud security data into meaningful risk insights, such as risk scores, trends, and contextual signals, and the experiences that drive customer response, including alerts, notifications, and guided remediation missions.
Youll work on scalable backend services and distributed systems that power how security insights are generated, aggregated, and delivered to users. The team operates across multiple product domains to ensure that insights lead directly to action, enabling customers to prioritize and resolve risks effectively.
This role is a great opportunity to work on high scale cloud security systems, collaborate across teams, and contribute to building reliable services that sit at the center of platform.
On a typical day youll:
Design and implement backend services that generate and deliver security insights and engagement workflows
Write clean, maintainable, and well-tested code that meets production quality standards
Build scalable systems that process and aggregate large volumes of cloud security signals
Collaborate with product managers, engineers, and designers to translate insights into actionable user experiences
Troubleshoot and resolve complex system issues while improving system reliability and observability
Contribute to architectural discussions and help evolve services to support growing scale and new capabilities
Implement new features following Agile development practices and established engineering standards
Continuously improve system performance, scalability, and maintainability