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As a Senior Software Engineer, youll play a key role in building and scaling the data infrastructure that powers our platform. Youll work on complex, large-scale data systems that collect, process, and transform massive volumes of cloud and SaaS usage data into reliable, actionable insights for our customers.

Youll take ownership of core data pipelines and backend services, tackle challenging problems in distributed systems, and drive improvements in performance, reliability, and scalability. Working closely with engineering teams and other business units, youll contribute to architectural decisions and help shape the next generation of our data platform.

This is a high-impact role for an engineer who enjoys solving complex data engineering challenges, working with modern cloud and big data technologies, and building resilient systems that operate at scale.

Responsibilities:

Own, enhance, and improve our core platform.

Build and maintain systems for collecting and processing metrics from client environments.

Focus on system efficiency and resilient infrastructure.

Integrate well-known SaaS platforms into our big data repository (e.g., major cloud providers, Datadog, Snowflake).

Optimize Spark and Airflow processes.

Contribute to data design and platform architecture while working closely with other business units and engineering teams.

Face the challenges of testing and monitoring large-scale data pipelines.

We are looking for a BI Lead to join our Data team. You will define the metrics the company runs on, make sure they are modeled correctly, and set the technical standards our analysts work with. You'll work directly with Sales, Product, and Marketing leaders to align on what we measure and why. As our technical lead for analytics, you own the definitions and standards that drive business decisions across.
As our BI Lead, you'll own the analytics function end-to-end: defining what we measure and why, setting technical and organizational standards for how we measure it, and empowering teams across the organization to make data-driven decisions. You'll be hands-on technically while also developing processes that scale.
Key Responsibilities:
Define, own, and validate business logic behind core KPIs with executives, align definitions with relevant stakeholders, and once approved, model them in the data warehouse to ensure consistent, trusted metrics across all teams.
Work closely with stakeholders across the company (Sales, Product, Marketing, etc.) to understand what needs to be measured, why and how.
Collaborate with Data Engineers and Business Analytics to design scalable data pipelines, data models, and semantic layers that support analytics, experimentation, and advanced modeling.
Lead the evaluation, selection, and optimization of BI and data infrastructure in collaboration with data engineering.
Build and maintain the cross-company dashboards and reports that business leaders actually rely on to make decisions.

We are looking for a Security Researcher to join our research group as part of a growing team developing Autopilot, an innovative product for autonomous investigation and response.
As a core member of the team, you'll go beyond research: youll research, design, and develop investigation modules that allow Autopilot to autonomously detect, investigate, and respond to advanced threats at a massive scale.
Youll analyze everything from new malware behaviors to attacker techniques and process activity in enterprise-scale networks, using data collected from across millions of endpoints. Your work will span identifying attack patterns and uncovering statistical anomalies, as well as validating that the system responds effectively to real-world attacks and APT campaigns using production data.
Key Responsibilities
Research and implement new autonomous methods for investigating and responding to targeted attackers, using large-scale, diverse security datasets
Develop and design the graph-based algorithms that power autonomous investigation and decision-making capabilities
Design automated incident response by developing reusable logic that transforms raw security data and alerts into clear, actionable insights.
Leverage graph algorithms, AI techniques, and statistical methods to mimic and scale human security analyst workflows
Conduct deep, hands-on investigations into modern malware, APTs, and complex attack flows to inform detection and response logic
Stay up to date with attacker methodologies, tools, and techniques (TTPs), ensuring our product remains effective against evolving threats
Contribute to a collaborative, fast-paced research team, helping shape our research strategy, improve processes, and continuously enhance the product.

As a Senior Full-Stack Engineer, youll be at the forefront of building and scaling our product from the ground up. Youll work closely with your team, as well as a product and product designer, to design and implement both the front-end user experience and back-end logic that powers our platform.

Youll play a key role in creating modern UI components, building API services, and contributing to core architectural decisions in a high-impact, low-ego team environment.

What youll do:

Design and implement scalable Senior Full Stack Engineer features and components using NodeJS and React.

Build and maintain robust APIs and data pipelines to support the platform.

Collaborate closely with product, design, and engineering leadership on architecture and UX.

Participate in code reviews, testing, CI/CD, and overall platform improvements.

Bring creativity, curiosity, and best practices to everything you build.

What will you do?

Manage Executive calendars and coordinate meetings
Make travel arrangements and handle expenses
Organize agendas and materials for meetings
Provide full administrative support and assistance to Executive and their department
Additional projects/activities as needed

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization Autonomous execution is a new category, and we are the ones defining it — already running in production inside Fortune 500 environments , where being wrong is not an option. The team is deliberately talent-dense ; every hire changes what we are able to build next. We are looking for a Senior Full Stack Engineer with 7+ years of development experience at leading startups to own Zipher’s entire product surface — the control plane that turns autonomous decisions into something engineering leaders can see, trust, and act on. You will own it end to end: the services and APIs behind it, and the real-time interfaces built on top of them. This is a backend-heavy role: about 70% backend and 30% frontend. It is best suited for candidates whose primary expertise and passion lie in backend development.
What You’ll Do
* Own the product surface end to end : architecture, services, APIs, and the real-time interfaces built on top of them
* Set the technical direction of the control plane — stack, data contracts, and the patterns every engineer after you builds on
* Build high-throughput services that turn live telemetry from production data and AI workloads into decisions, and the explainability layer that makes those decisions readable
* Work directly with the founders on what gets built next, and lead the technical moves that follow — from what enterprise customers need to the architecture that answers it
* Drive quality end to end: testing, CI/CD, observability, and the operational bar for a product Fortune 500 engineering teams run in production
What We Offer A product that is already winning : a new category of autonomous data platform, in production inside Fortune 500 environments A domain of your own : you lead it end to end — the architecture, the stack, and the patterns every engineer after you builds on A seat on the core team : you are one of the engineers deciding what the platform becomes, not one implementing someone else’s decisions Engineering problems that are genuinely hard : real-time telemetry at enterprise scale, distributed decisions, and an explainability layer teams trust in production Engineers worth learning from : a deliberately talent-dense team, direct work with the founders, and a bar that pulls everyone up Room to grow and to lead : your ownership widens as the platform does, and the people who lead moves here keep leading them Top-of-market compensation and a meaningful equity package Ready to own the control plane for an autonomous data platform? Hit Apply.

A successful candidate will demonstrate the ability to quickly grasp business, financial, and accounting concepts, exercise sound judgment, and provide accurate, timely financial and managerial reports.

The controller will report to the Finance Director.



What would you do?

Work with subsidiaries across the world to provide guidance on issues arising from financial information, accounting and tax.
Develop, document, and enforce compliance with accounting policies, procedures, and internal controls.
Support M&A transactions and integration of acquired companies
Support the Business Development Department with due diligence and other tasks
Work with various interfaces within the finance (treasury, taxes and FP&A), corporate, and other departments
Work with external auditors/advisors on audit, accounting, and other financial matters