דרושים » הנדסה » Senior Software Engineer

Required Senior Software Engineer, Cloud Datastream and Database Migration Service
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Control & Connect (C&C) team builds the core infrastructure powering our DMS and Datastream. We own the mission-critical Control Plane and Data Movement Infrastructure that allows enterprise customers to seamlessly migrate and replicate their databases at massive scale.
As a Senior Software Engineer, you will design and build the core infrastructure that enables enterprise customers to replicate and migrate their databases. You will address distributed systems issues involving stateful microservices, intricate multi-region architectures, and high-throughput data pipelines. Operating in a collaborative environment, you will guide the technical design of new features, improve system reliability, and mentor fellow engineers. Our team is also pioneering AI-assisted engineering operations, giving you the opportunity to shape how we use generative AI to accelerate development, improve testing, and reduce operational toil.
Responsibilities
Design and implement resilient, multi-step long-running operations and manage orchestration workflows on our cluster management systems.
Drive architectural improvements to decouple systems, manage service overload, and integrate seamlessly with various Cloud services like AlloyDB, Cloud SQL, and BigQuery.
Take end-to-end ownership of ambiguous technical challenges, translating complex requirements into concrete architectures and maintaining high engineering standards through design and code reviews.
Identify and eliminate operational toil, including contributing to the team's custom AI agents to automate release pipelines and streamline on-call workflows.

We are looking for a highly skilled Senior DevOps Engineer to join our Backend Infrastructure Team within the Cortex Group. Operating at the intersection of deep platform engineering and high-scale production reliability, this high-visibility role acts as a vital bridge between our DevOps organization and the Cortex Platform team - embedded closely with dev and infrastructure groups to drive broad technical impact.
Your Impact
Production Ownership: Drive end-to-end ownership, reliability, and scaling of a high-scale production SaaS environment deployed on GCP.
Infrastructure & Automation: Design and execute Infrastructure-as-Code (Terraform) to orchestrate production and dev environments, building CI/CD pipelines (Jenkins) and automated remediation tools.
Taking part of a highly skilled team, which spans from customer facing features to databases configuration and HA & DR ownership.
Platform & Data Governance: Partner with development teams to optimize distributed platform components, backend architectures, and databases.
Cross-Organizational Leadership: Collaborate with application teams, QA, and leadership to drive technical standards, platform efficiency, cost optimizations, and cross-team processes.
Platform backend shared components and architecture
On-Call Responsibilities
Participate in an on-call rotation (including weekends and holidays) supporting mission-critical Cortex platform infrastructure.
Apply strong investigative skills to troubleshoot production issues, connect complex symptoms across distributed systems, and drive root-cause resolution.
Lead customer-facing Root Cause Analyses (RCAs), translating complex technical findings into actionable post-mortem improvements.

We are looking for a Senior Backend Engineer (AI DLP) to join the team building our next-generation DLP product. The team is extending our data-security platform from understanding sensitive data at rest to protecting it at the moment it is used or shared-including across browsers, GenAI applications, and employee endpoints.

You will help build the control plane behind this product: the services that manage endpoint identity and enrollment, policies, classification, device configuration, telemetry, and the connection between our DSPM intelligence and real-time DLP decisions. This is a role with substantial technical ownership, direct customer impact, and close collaboration across Product, Research, Data, Frontend, and Infrastructure.

Responsibilities
Design and implement core backend components of our DLP control plane.
Own features end-to-end: architecture, implementation, testing, rollout, observability, and production operation.
Build secure, reliable multi-tenant services that communicate with browser extensions and endpoint agents deployed across customer endpoint fleets.
Connect our DSPM classification and policy systems with real-time endpoint enforcement, translating data-at-rest intelligence into actionable protection.
Design APIs and data models that support large endpoint fleets, frequent policy updates, offline clients, credential rotation, and safe software upgrades.
Improve the scalability, performance, reliability, and operational visibility of the DLP platform.
Conduct design and code reviews and help establish strong engineering practices.

We're looking for an exceptional Senior Software Engineer to join the team building our Endpoint Agent.

This team builds the software that runs directly on our customers' endpoints. It's a highly technical role focused on low-level systems programming and building reliable, production-grade software.

You'll work on an endpoint agent written primarily in Rust, building capabilities that run directly on customer devices. This is desktop software that lives inside the operating system, making it one of the most visible and critical parts of our product.

If you enjoy understanding how operating systems work, writing efficient systems code, and solving hard engineering problems close to the OS, this is a rare opportunity to do that in one of the fastest-growing cybersecurity startups.

What Youll Do

Design and build core capabilities for our Endpoint Agent.

Develop high-performance software in Rust and C++ that runs directly on customer endpoints.

Build features that interact closely with Windows and macOS internals.

Work across backend services and endpoint components to deliver end-to-end functionality.

Partner closely with Product, Security Research, and Platform Engineering to bring new capabilities to customers.

Build reliable, production-grade software with performance, stability, and security in mind.

We are seeking a Software Engineer, Data & Platform to join our Platform team. This is a hands-on engineering role at the intersection of data and infrastructure. You'll build the pipelines that move clinical data into, through, and out of our autonomous coding engine, and the cloud systems that run it in production.

What you'll do:
Build and maintain reliable data pipelines that ingest, transform, and deliver data from healthcare systems at scale, across millions of charts a year.
Design, build, and operate our cloud infrastructure on AWS, managed as code.
Own data modeling, schema management, and database performance in close partnership with our DBA.
Improve how our engineering teams ship: CI/CD, environments, observability, and internal tooling that make deployments safe and fast.
Take an AI-first approach to engineering: use AI coding assistants and agents as a core part of your daily workflow, and look for opportunities to apply LLMs and agentic tooling to automate data and platform work.
Ensure the security, reliability, and compliance of systems that handle sensitive patient data.
Work with R&D, ML, and Product to turn requirements into scalable data and platform solutions.
If you enjoy writing real software to solve data and infrastructure problems, and you care about systems that are robust, observable, and well designed, we'd love to hear from you.

We are looking for a proactive and skilled Software Infrastructure Developer with a strong Agentic AI focus to join our team. In this role, you will design and build the infrastructure, tooling, and AI-powered automation that keep our engineering systems reliable, scalable, and intelligent.

You will be responsible for embedding GenAI and agentic capabilities into our internal developer platforms and CI/CD workflows - creating frameworks, libraries, and multi-agent systems that accelerate automation, improve system stability, and unlock new levels of engineering productivity. This is a hands-on role for someone who thrives at the intersection of infrastructure engineering and applied AI.

The ideal candidate brings deep technical expertise in Python (FastAPI) and/or TypeScript, Kubernetes, CI/CD (Jenkins, GitHub Actions), containerization, and cloud infrastructure - combined with hands-on experience building LLM-powered applications, agents, MCP servers, and RAG pipelines.

What you'll be doing:
AI Platform Development: Design and build internal AI platforms, reusable SDKs, libraries, tools, and MCP servers for agentic applications.
Agentic Workflow Development: Develop single- and multi-agent workflows covering planning, tool selection, delegation, state and memory management, execution, retries, fallbacks, error recovery, and human-in-the-loop approval.
AI-Powered Infrastructure & CI/CD: Integrate AI capabilities into Kubernetes infrastructure and Jenkins/GitHub Actions pipelines to improve development, testing, deployment, and operational workflows.
AI Observability & Evaluation: Implement agent tracing, prompt and tool-call logging, latency and error monitoring, token and cost tracking, regression testing, and failure analysis.
AI Security & Governance: Apply guardrails, access controls, auditability, and governance practices to ensure agents operate safely and reliably.
End-to-End Platform Ownership: Own AI platform capabilities from architecture through production and build reusable solutions that accelerate adoption across engineering teams.
Cross-Functional Collaboration: Collaborate with engineering and business teams to identify high-impact AI opportunities and translate them into scalable technical solutions.
AI Research & Innovation: Evaluate emerging AI frameworks, models, and cloud technologies and promote their adoption where they provide measurable value.

Were looking for a talented Research Software Engineer to join our Security Research group. In this role, youll build the engineering foundation behind our research initiatives, transforming innovative security ideas into scalable, production-ready capabilities. Working closely with security researchers and product teams, youll develop and maintain the infrastructure, services, and tools that power next-generation Attack Surface Management (ASM), offensive security research, cloud security analysis, and autonomous security workflows.
This role is ideal for a software engineer who enjoys solving challenging technical problems, building reliable systems, and working at the intersection of software engineering and cutting-edge cybersecurity research.
Responsibilities:
Design, develop, and maintain production-grade services, tools, and infrastructure that support the Security Research team.
Collaborate closely with Security Researchers to translate research prototypes into robust, maintainable production features.
Build reliable APIs, services, and data pipelines that integrate with the platform.
Improve the scalability, performance, and maintainability of research-driven systems.
Work cross-functionally with Product, Platform, DevOps, and other engineering teams to deliver customer-facing capabilities.

We are looking for a Senior Backend Engineer to join a high-impact, multi-disciplinary team building a customer-facing product trusted by health industry specialists. This team is solving complex technical challenges with a modern stack to power core growth engine.
In this role you will collaborate closely with other R&D, Product, and Data teams.
What Youll Do :
Architect & Build: Design and construct high-performance, production-grade backend systems and applicative services built for reliability and maintainability.
Own E2E Lifecycle: Take complete end-to-end ownership of backend features from concept to production- including architectural design, testing, shipping, and active monitoring.
Cross-Domain Collaboration: Partner closely with Product Managers, Data Scientists, and R&D teams to translate complex data pipelines and product needs into scalable technical solutions.
Elevate Engineering Standards: Participate in rigorous code reviews, establish architectural best practices, and help mentor team members across the organization.

We are looking for a Senior Software Engineer to join our growing Data Infrastructure team!
The team's main responsibility is developing our data platform - from building the microservices and pipelines that onboard customer data into our platform, to the infrastructure and tooling that enables our internal data teams to analyze, transform, process, and collect data independently. Our goal is to build leverage: every feature we ship reduces friction for the teams that depend on our platform. We're looking for a builder who takes full ownership from inception to production, cares deeply about quality and performance, and leverages AI tools to move faster and deliver better outcomes.
Responsibilities
Design and implement scalable, production-grade data pipelines and microservices that ingest, transform, and move data from a wide variety of customer sources at high volume.
Build and maintain high-performance backend services and APIs that interface with our data ecosystem, ensuring reliability, low latency, and security.
Develop and evolve the platform infrastructure - data warehouse, orchestration, compute - that internal data teams rely on daily.
Identify opportunities to automate recurring workflows and turn ad-hoc needs into robust, self-serve platform capabilities.
Collaborate with data scientists, analysts, and engineers across R&D to translate requirements into platform features.
Drive code quality through design reviews, code reviews, and adherence to engineering best practices.
Leverage AI tools throughout the full engineering cycle - from scoping and design to implementation and debugging - to deliver faster, higher-quality outcomes.

Were looking for a senior engineer who is ready to move beyond traditional software development and take full ownership of product delivery.

This is not a classic backend engineering role. You will work directly with Product to turn ideas and requirements into production-ready solutions, make the technical decisions, and use AI coding agents as a core part of your engineering workflow.

You will own the outcome, not just the code. AI-generated code is your code, and you are accountable for its quality, security, performance, and maintainability.


What youll do
Own product features end-to-end, from requirements through production and monitoring.
Work with Product to translate business problems into clear technical solutions and execution plans.
Design scalable and maintainable solutions, including architecture, APIs, data models, and integrations.
Use AI coding agents to accelerate implementation, testing, debugging, and automation.
Review and improve AI-generated code, ensuring high standards for correctness, security, performance, and maintainability.
Make independent technical decisions and communicate architectural trade-offs clearly.
Contribute across backend, frontend, QA, CI/CD, and infrastructure when needed to deliver a feature.
Investigate and solve complex production and performance issues.
Continuously improve how we build, test, and ship software using AI-native development practices.