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We are a fast-growing company operating in a dynamic, innovative, AI-first environment. Our Product team is building the next generation of financial products, and were looking for an exceptional Product Designer to join us on this journey.



What will you do:
Lead end-to-end design processes for complex products and features, from research and discovery through design, prototyping, and implementation.
Design intuitive and polished user experiences while contributing to the evolution of our Design System.
Collaborate closely with Product Managers, Developers, and other stakeholders throughout the product lifecycle.
Leverage AI tools and Claude Code as part of your daily workflow for research, problem exploration, rapid prototyping, and accelerating product development.

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.


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.

We are looking for an experienced and hands-on DevOps Team Lead to bridge the gap between individual engineering execution and strategic leadership. Reporting directly to the DevOps Director, you will guide a team of DevOps Engineers, drive technical excellence, and ensure the smooth delivery of infrastructure, automation, and CI/CD capabilities across the organization. This role combines technical depth with people leadership - you are equally comfortable reviewing a Terraform plan and running a team retrospective.

Responsibilities

Team Leadership & Management
Lead, mentor, and support a team of DevOps Engineers, fostering a culture of ownership, collaboration, and continuous improvement.
Conduct regular 1:1s, provide constructive feedback, and support the professional growth of team members.
Coordinate workload distribution, sprint planning, and prioritization across the team in alignment with organizational goals.
Act as the primary point of escalation for technical challenges within the team.
Work closely with the DevOps Director to translate the DevOps roadmap into actionable team-level objectives.

Technical Execution
Design, implement, and maintain CI/CD pipelines using GitHub Actions and ArgoCD.
Manage and evolve cloud infrastructure across AWS, Azure, and/or GCP using Terraform, Helm, and Kubernetes.
Lead automation initiatives to improve deployment reliability, system scalability, and developer productivity.
Ensure robust observability through Prometheus, Grafana, and ELK, and participate in incident management and on-call rotations as needed.
Champion infrastructure security best practices, including secrets management (Vault) and container security.
Collaborate with R&D, QA, and Product teams to streamline release processes and resolve deployment bottlenecks.

Process & Governance
Define and enforce DevOps best practices, coding standards, and documentation guidelines across the team.
Drive post-incident reviews and implement learnings to prevent recurrence.
Monitor infrastructure costs and propose optimization strategies to the DevOps Director.
Maintain and improve technical documentation, runbooks, and operational playbooks.

We are looking for a C++ Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!

Responsibilities
Design and implement multi-architecture and cross-platform software solutions in C++ for Linux and Windows OS.
Maintain software application interfaces in Java, Python, and C#.
Contribute to the full life-cycle development, integration, and deployment of software solutions in advanced testing equipment.
Collaborate within a multidisciplinary team environment across scientific and engineering disciplines.
Conduct code reviews to enhance software engineering quality.

Join research team to develop the next generation of multimodal video diffusion models and bring cutting-edge research into real-time products used at global scale.
About the Team:
Our research team is small, fast-moving, and highly impactful. We develop multimodal generative models for real-time video creation, turning cutting-edge research into scalable products.
We are looking for researchers with deep expertise in generative video to join a team at the core of technology and help shape the future of generative AI.
Why Work ?
Work on cutting-edge video-generation technology at the forefront of AI.
See your research become part of products used at global scale.
Own meaningful research and engineering challenges as part of a small, high-impact team.
Help solve complex problems in real-time video generation.
Build technology that brings the next generation of AI assistants to life.

Were looking for a Hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products, work closely with data scientists, product managers, and designers, and ensure that AI capabilities-from LLMs and agents to product data insights-are translated into reliable, scalable production systems. You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes. This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making.

Key responsibilities

Lead a team of data scientists, data engineers and product analysts.

Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation.

Drive excellence, code quality, and best development practices.

Provide technical direction and hands-on guidance for complex AI systems.

Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences.

Ensure AI solutions are safe, scalable, observable, and continuously improving.

Lead initiatives around product data analysis and experimentation.

Analyze user interactions with product features to improve accuracy, UX, and business impact.

Partner with product teams to define metrics, dashboards, and experiments that guide product improvements.

Design system architectures for AI-enabled applications at scale.

Evaluate and select technologies for AI platforms and data pipelines.

Guide the development of prompt engineering frameworks and centralized prompt management.

Ensure robust monitoring, evaluation, and feedback loops for AI outputs.

Translate product and business goals into technical roadmaps and execution plans.

Drive alignment between AI capabilities and measurable product outcomes.

Required Principal/Senior Principal Software Engineer Data Platform ( Cortex)
Job Summary:
Join the Cortex team as a Principal Backend Engineer and own the backend strategy for our integrated detection and response engine. You will be responsible for transforming raw endpoint, network, and cloud data into actionable intelligence, using AI-driven techniques to dramatically reduce false positives and focus our defense on what truly matters: stopping the worlds most critical threats.
Key Responsibilities:
backed by the massive scale and resources of a global leader, to architect and scale a world-class data infrastructure capable of processing billions of events per second in real-time.
Integrate state-of-the-art AI technologies to transform raw telemetry from the industry's leading cyber products into high-fidelity, actionable intelligence.
Own the end-to-end software development life cycle, from conceptualizing complex distributed systems to deploying high-performance code, building AI-augmented systems that are fast, maintainable, and resilient.

Required Sr MSIAM SOC Engineer (Unit 42)
Job Summary
As a Senior SOC Engineer within Unit 42, you will drive the creation, validation, and optimization of custom detection rules and automated playbooks across our global customer base. Acting as a trusted advisor, you will collaborate closely with clients to maximize their security posture using Cortex XSIAM and Unit 42 expertise. This highly analytical role leverages your deep understanding of detection lifecycles, proactive automation, and threat intelligence to secure enterprise environments. You will architect end-to-end security lifecycles that seamlessly connect data ingestion with high-fidelity detection engineering.
Key Responsibilities:
Own the full lifecycle of custom detections and response automations, deploying them as high-fidelity Cortex XSIAM correlation rules and playbooks through a rigorous engineering process of development, testing, staging, and soft implementation.
Drive the continuous refinement of correlation rules to ensure strict standards for performance, accuracy, and operational relevance.
Translate Unit 42 threat intelligence research and emerging adversary TTPs into actionable, robust detection logic.
Champion proactive automation by engineering sophisticated playbooks to resolve emerging security challenges and optimize operational workflows ahead of demand.
Architect the end-to-end security lifecycle within Cortex XSIAM, seamlessly connecting data ingestion, high-fidelity detection engineering, and sophisticated response automation.

We are looking for a Senior Principal Backend Engineer to join our Cortex team and help us to prevent, detect and respond to all runs on an integrated endpoint, network and cloud data - reduce the noise and focus on real threats.
Your Impact:
You will be a part of a group with the mentality and independence of a startup, supported by the power of a successful corporation - You will design and build an infrastructure that supports billions of events per second, storing, processing and making them accessible and visible to the user while collaborating with the industrys leading cyber products
You will be responsible for the complete software development life cycle including requirement analysis, design, development, deployment, and support - You will write clean, testable, readable, fast and maintainable code that is efficient and scalable
Drive the inception, strategy and execution of our autonomous investigation and response solution (Autonomous SOC)

As our SRE / DevOps Lead, you'll own the reliability, scalability, and security of the infrastructure that powers our platform - a system trusted by leading wealth managers, banks, and consumer fintechs to handle some of the most sensitive financial data their users have. You'll lead a team of 2 SREs and partner closely with product engineering, security, and our compliance partners to make sure what we build runs the way our customers (and the IRS) expect.

This is a hands-on lead role. You'll set the technical direction for our cloud platform, deployment pipelines, observability, and on-call practices - and you'll write the code, configs, and runbooks that get us there. You'll also own our IT function (identity, endpoints, SaaS) at a tighter scope, keeping the company secure and productive as we grow.

What you'll do

Lead and grow a team of 2 SREs, setting direction across SRE, DevOps, and IT.

Own the architecture, performance, and reliability of our GCP-based platform - Kubernetes, Terraform, CI/CD, networking, and scale.

Define and uphold our SLOs, infra budgets, on-call priorities, and incident response practice.

Build and operate our observability stack so engineers can find and fix problems before customers feel them.

Partner with engineering and security on the controls, evidence, and audits that keep us SOC 2, SOC1 and STIG compliant and IRS-authorized.

Plan and execute capacity, load testing, and game days for tax season - the highest-stakes window of our year.

Own corporate IT: identity (Okta), Google Workspace, endpoint management (Jamf / Kandji), and the SaaS stack used across the company.

Set the standard for how we ship: fast, safe, observable, and reversible.

Required Director Product Operations (Cortex)
Job Summary:
As Director of Product Operations, you will shape and scale how the Cortex Product organization operates and executes.
This is a high-impact individual contributor role centered on hands-on leadership, operational strategy, and execution. You will partner closely with Product leadership and cross-functional teams to drive strategic initiatives, design scalable operating models, and strengthen execution across the Cortex platform.
Key Responsibilities:
Partner with Product leadership to translate strategy into execution, accountability, and measurable outcomes.
Define and scale Product Operations processes and operating models across the Cortex platform
Lead complex cross-platform initiatives across Product, Engineering, GTM, Finance, IT, and customer-facing teams.
Drive key processes including NPI, launches, migrations, platform initiatives, and licensing changes.
Improve governance, visibility, and decision-making across the Product organization.
Leverage AI, automation, and data to improve efficiency and scale.
Identify systemic gaps and drive cross-functional improvements.
Build and lead a high-performing Product Operations function.

Join a team of senior engineers operating in a large-scale, multi-cloud production environment supporting tens of thousands of enterprise customers worldwide. This is not a typical SRE role - youll work at the core of a complex, high-impact system alongside experienced DevOps professionals in a fast-paced, cybersecurity-focused organization.
Your Impact:
Own and operate large-scale, global production environments across multiple cloud providers (GCP, AWS, Azure)
Actively monitor, investigate, and resolve incidents triggered by automated alerting systems (PagerDuty / Incident Response)
Drive end-to-end troubleshooting across complex, distributed systems with high context switching
Design, deploy, and improve monitoring and observability systems (e.g., Prometheus, Grafana) - not just react to alerts
Collaborate closely with internal teams (CX, CS, Engineering) to ensure system reliability and performance
Work hands-on with modern DevOps and infrastructure tools including Kubernetes, Terraform, CI/CD pipelines, and GitOps workflows
Develop and maintain automation and tooling (primarily in Python)
Gain deep understanding of system architecture and interconnected services
Contribute to a culture of operational excellence in a high-scale, high-availability environment
On call responsibilities:
Daytime hours (12:00-20:00)
Occasional weekends and holidays (rotation-based).

We are looking for a brilliant, curious and creative Senior Full-Stack Engineer with a passion for data thats ready to take on a huge opportunity to solve tax, and save people time and money. If youre all that and looking to lead, invent, and grow professionally you should definitely consider applying to join us on our journey.

Key responsibilities

Lead and own full-cycle (from idea to production) projects that are directly used by and impact millions of people.

Work closely with the product & UX to define product requirements and execute the development plans.

Design system architectures, select/ evaluate tools.

Build cloud-native microservices.

Mentor, and grow the team, our practices, and our technology stack.