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ShiftLeft is building the cloud security platform for developers (AppSec). Our platform empowers teams to find, fix, and prevent security risks in application code and infrastructure as code through automation and security-as-code principles. We're looking for a skilled Senior Backend Engineer to join our team and contribute to our Cortex Cloud platform.
As a Senior Backend Engineer, you'll have a high-impact role in shaping the future of our code security products. Beyond building robust and scalable backend features, you'll help drive performance, reliability, and innovation across our systems. Our group owns and leads the departments data pipelines, databases, and enrichment and persistence flows. If you're excited by technical challenges, meaningful ownership, and making life easier for developers - this is the place for you.

We are the Code Scanning Team. We are responsible for developing the core scanning engines of the company's products. To provide a holistic solution in the worlds of SCA, IaC and Secrets. We specialize in edge technologies that include static and dynamic code analysis, cloud security and complex dependency analysis.
Key Responsibilities
Own the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
Contribute to team-wide efforts including code reviews, design reviews, and architectural decisions, ensuring high-quality and maintainable code.
Take full ownership of specific feature segments, demonstrating accountability for quality and timely delivery from conception to release.
Architect and implement hyper-scalable solutions on GCP, ensuring enterprise-grade quality and reliability.
Challenge curiously and positively by exploring new technologies and methodologies to enhance our backend services and AI capabilities.

we are looking for a AI Architect.
Responsibilities:
1. AI Architecture & Technical Leadership
Guide AI architectural direction across Navinas platform, focusing on system design, model lifecycle, and integration of AI components into product workflows.
Act as a senior technical reviewer and thought partner for complex or cross-team AI design decisions.
Provide technical oversight on areas such as exploring new models/technologies/opportunities for the company
Surface architectural risks, tradeoffs, and long-term implications, including cost, security and compliance aspects and clearly advise the VP of AI when certain technical directions should not be pursued.
This role influences judgment, clarity, and experience, not through blocking authority.
2. Hands-on Applied Innovation (Core Pillar | ~50%)
Spend at least 50% of time hands-on, building:
End-to-end AI prototypes
Technical demos and proofs of concept
Exploratory implementations of new AI capabilities
Drive applied innovation that:
De-risks new technologies
Demonstrates feasibility and impact
Informs product direction and business opportunities
Build fast, concrete examples that teams can learn from and extend.
Transition successful prototypes to team ownership for further development and scaling.
This role is expected to lead AI innovation by doing, while working closely with product, medical and engineering
3. Best Practices & Technical Enablement
Define and promote best practices for applied AI development, including:
Rapid prototyping and vibe coding.
Agent design, orchestration, and evaluation patterns
Experimentation, benchmarking, and validation workflows
Help teams align on shared technical patterns, tools, and standards.
Identify opportunities to consolidate duplicated efforts and improve cross-team coherence.
Lead technical deep dives, architecture discussions, and design reviews.
4. AI Compliance & Regulatory Enablement (Technical Scope)
Ensure Navinas AI development practices align with applicable AI regulations for a software product handling sensitive medical data.
Define and guide AI-specific compliance practices, including data usage, transparency, evaluation, and documentation expectations.
Support and contribute to AI-related compliance and regulatory documentation, in close collaboration with Legal, Security, and Medical Research teams.
Serve as a technical point of reference for AI compliance questions.

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools: Utilize platforms such as Gemini, Claude, and Cursor for tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows: Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards: While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents: Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.

We're currently seeking a Senior Data Researcher to join our Data Team and help proactively guide our business growth through the provision of strategic perspective, market insight, and experience with analytical tools and techniques. You will work closely with product managers, medical analysts, and the engineering team and bring your expert analytical ability to provide key insights, recognize key opportunities, and drive strategic initiatives forward.
Responsibilities:
Build and maintain data pipelines and dashboards to improve data visibility and reporting in production environments
Implement AI-powered workflows for internal and external uses
Work with product, medical, and engineering teams to turn data into insights and recommendations.
Conduct exploratory analysis to identify opportunities for new features, model their impact, and drive performance improvements.
Analyze product performance, user behavior, and interactions to showcase product value.
Define, measure, and build monitoring tools for key KPIs.
Visualize insights clearly to improve understanding and decision-making.
Support roadmap planning by identifying trends, gaps, and opportunities.

we are looking for a FinOps Engineer.
In this role, you will build and own the techno-financial operations practice for cloud, infrastructure, AI, data, and third-party engineering services. You will work closely with Engineering, DevOps, AI Infrastructure, Product, and Finance to make infrastructure spend transparent, predictable, optimized, and aligned with business value.
The role is in the junction of engineering and finance, You will be responsible for creating visibility into cloud and infrastructure costs, driving optimization initiatives, improving forecasting accuracy, defining cost governance practices, and helping engineering teams make better cost-aware technical decisions without slowing down delivery.

We are looking for a Tech Lead to serve as the technical "center point" for our Population Health engineering group. In this high-leverage, non-managerial role, you will float between multiple feature teams to solve the most complex architectural challenges, unblock technical debt, and ensure our systems scale as fast as our data does.
You aren't just building features; you are building the engine that powers them. You will spend 70-80% of your time hands-on-coding, architecting, and creating the shared tools that make every other engineer in the group faster and more effective.
Responsibilities
Architectural Glue: Own the technical "contracts" (APIs) between teams to ensure seamless integration across the Pop Health ecosystem.
Performance & Scalability: Optimize our engines and application layer to handle massive clinical datasets, ensuring our UI remains snappy and our backend is resilient.
Data Pipeline Strategy: Lead the design and implementation of scalable BI data pipelines and robust ETL/ELT processes that transform complex clinical data into actionable insights.
Force Multiplier: Identify friction points in the development lifecycle and build internal tools or libraries to increase engineering velocity.
Technical Stewardship: Provide high-level code reviews, author RFCs for major architectural shifts, and mentor senior engineers through complex technical hurdles.

Get ready to shape the future of software development at Palo Alto Networks! You'll be joining a pioneering team building our revolutionary, internal agentic AI tool. This isn't just another product; it's our solution for increasing developer productivity through advanced vibe coding using state-of-the-art LLM models.
We are developing an enterprise-grade, high-scale platform, designed to be used by thousands of our own engineers. We are looking for a tech-savvy and innovative developer who is excited to build the generative AI-powered tools that will define our next generation of engineering.
Key Responsibilities
Drive the development of sophisticated, AI-powered features end-to-end, from ideation and technical design to seamless deployment in production.
Architect and implement hyper-scalable solutions on GCP capable of supporting thousands of developers, ensuring enterprise-grade quality and reliability.
Obsess over the developer experience, passionately enhancing the user experience (UX) of the product's features to create an intuitive and powerful tool.

We are seeking an Engineering Manager to lead a cross-platform team within the Cortex XDR agent group. In this role, you will lead a group of talented engineers, making critical technical decisions and driving the team's priorities to build revolutionary security capabilities. You will own large projects, guide your engineers, and deliver impactful results in a rapidly changing environment, shaping the future of endpoint protection for millions of users.
Key Responsibilities
Lead, mentor, and manage a team of cross-platform engineers, guiding them through technical challenges, system design, and large-scale projects to deliver results.
Proactively collaborate and exchange information with Product, QA, and other stakeholders to improve processes and ensure successful project alignment.
Provide technical guidance and mentorship to engineers of all levels, fostering an environment of continuous learning and high-quality code delivery.
Take full ownership of product flows from a technical standpoint, partnering with Product Managers to define and deliver new features.
Focus on the customer by analyzing and resolving complex field-reported issues, reinforcing a customer-centric engineering approach.
Drive team growth by leading the hiring process for new engineers and fostering a positive, engaged, and motivated team environment.
Empower team members by providing regular, constructive performance feedback and creating opportunities for professional development.

In this role, you will be dedicated to safeguarding our clients data within the dynamic cloud landscape. As an expert in Data Security Posture Management (DSPM) for SaaS and DBaaS, you will develop cutting-edge solutions for data discovery, classification, and protection across platforms like Snowflake, Databricks and MongoDB Atlas. Your work will focus on proactively identifying and eliminating risks, ensuring our clients' sensitive information remains secure, compliant, and accessible only to authorized users, empowering them to grow their business securely.
Key Responsibilities
Drive innovation by designing and implementing impactful solutions that address client needs, contributing to the full feature development lifecycle from design to deployment.
Take ownership of specific feature segments, ensuring high-quality code and robust functionality through meticulous attention to detail and a focus on execution.
Proactively collaborate and exchange information with cross-functional teams, including product and infrastructure, to ensure seamless integration and alignment on shared objectives.
Challenge the status quo by generating innovative ideas and actively participating in brainstorming sessions to foster product and architectural improvements.
Actively engage in technical discussions, openly sharing knowledge and learning from others to solve complex problems and elevate team expertise.
Design and build highly scalable, resilient, and secure cloud-based applications and microservices.
Contribute to an agile and dynamic engineering culture, demonstrating a strong drive and outstanding communication skills to deliver results efficiently.

As a Support Enablement and Escalations Engineer on the Cortex Platform team, you will be at the crossroads of Support and Engineering, driving decisions as a thought leader within Global Customer Services. You will work with new products early in their lifecycle, provide training, resolve complex customer issues, and improve product supportability for our industry-leading Cortex products. This role requires excellent cross-functional collaboration with developers, product management, and customers. We seek top-tier candidates from support or engineering backgrounds for our small, impactful global team.
Your Impact
Enable TAC teams by assisting with ad hoc Q&A and providing structured training throughout the year.
Own critical technical issues by identifying widespread problems, creating guidelines, and communicating updates to relevant teams.
Impact new product development by defining supportability and usability requirements during design and post-release enhancement phases.
Develop and deliver technical training materials for TAC, such as white papers and presentations, on new products.
Develop internal tools for the TAC team to improve visibility and streamline troubleshooting processes.
Analyze support cases, trends, and escalations to identify and address knowledge gaps, supportability issues, and tooling needs.
Proactively identify and execute on unplanned projects that improve customer experience, reduce costs, or bolster security.

As an Engineering Manager at Cortex Cloud, you will lead a team of ~6 engineers operating in one of our most complex and cross-functional domains. This role requires a strong blend of people leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures. You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring the team executes against the roadmap with both speed and engineering rigor.
Key Responsibilities
Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.

we are looking for a talented and Senior Data Engineer to join our data group.
The team is responsible for processing and transforming data from multiple external sources while building and maintaining an internal serving platform. Our key challenges include operating at scale, integrating with diverse external interfaces, and ensuring the data is served in a consistent and reliable manner.
Responsibilities:
Designing and implementing data platform
Transforming, modeling, and serving all medical data.
Utilize data best practices, to improve the product and allow data-driven decision-making.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in the data field.

We're seeking a talented, versatile, and highly independent Full Stack Engineer to join our engineering team. You will be in charge of end-to-end development and significantly impact both the product and technical decisions.
Responsibilities:
Lead development processes from ideation to production
Develop, maintain, and imperialize the products application layer (front end & back end)
Collaborate with product, medical, and software teams across the organization
Build a customer-centric product with a deep understanding of the complex healthcare industry

we are looking for a Technical Support Engineer.
Responsibilities:
Resolve customer issues daily, ensuring timely responses and high levels of customer satisfaction
Proactively manage the day-to-day resolution of customer issues in a timely (SLA) manner and maintain their high satisfaction
Contribute to methodologies, best practices, and techniques to improve our support process
Build and contribute to Navinas technical support knowledge base.
Work closely with R&D, Product, Customer Success, and our Medical team for complex problem-solving and time-sensitive escalations.