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Landa is seeking an experienced Backend Software Engineer to join its Data Path team. This hands-on role requires strong software engineering skills and the ability to develop complex, multidisciplinary systems that integrate high-volume data processing, advanced algorithms, and printing hardware. In this role, you will develop backend software that manages and transforms print job data, executes image-processing operations such as cropping and flipping, and orchestrates data flow through processing pipelines. You will work with multi-threaded architectures, manage queues and concurrent operations, and optimize the delivery of processed data all the way to the printheads of a digital printing press.

Responsibilities:
· Develop and maintain backend services that manage, process, and deliver print-job data through the Data Path pipeline, from job preparation to the printheads. · Design high-performance, multi-threaded processing pipelines, including queue management, synchronization, parallel execution, and efficient resource use. · Implement and optimize data-processing and image-processing algorithms, including print-data transformations such as cropping and flipping, and production inspection algorithms for defect detection, calibration, and quality metrics. · Integrate software with industrial imaging hardware, including cameras and sensors, image-acquisition boards, timing and trigger systems, and motion control. · Own development tasks end-to-end, from design through implementation and system integration, working closely with cross-functional teams (software, algorithms, hardware, and process). · Troubleshoot and · resolve complex software issues in development and production environments, · including issues that span software, algorithms, and hardware. · Ensure high software quality through best practices, clean code, and testing, and improve existing systems by modernizing legacy applications.

Attributes:
· Strong analytical and problem-solving skills. · High level of ownership and accountability. · Excellent teamwork and interpersonal communication skills. · Systems-thinking mindset with the ability to understand complex multidisciplinary environments.

We are looking for a Senior Full Stack Engineer who thrives at the intersection of intelligent systems and polished product experiences. You'll work across the entire stack from designing React interfaces that surface AI capabilities to engineers and end users, to building the Python and Node.js services that power our LLM-based Agentic platform. A key part of this role is hands-on experience with designing, building, and integrating MCP servers that connect our AI agents to internal tools, financial data systems, and third-party APIs. You'll collaborate closely with product, compliance, and cross-functional engineering teams to build financial technology that's fast, secure, and genuinely intelligent.
Who You Are:
You have experience building Retrieval‑Augmented Generation (RAG) systems or knowledge‑base chatbots.
You're Hands‑on with vector databases such as Pinecone, Chroma, or pgvector on Postgres/Aurora.
Have AWS certification (Developer, Solutions Architect, or Machine Learning Specialty).
Experience with observability tooling (Datadog, New Relic) and cost‑optimization strategies for AI workloads.
Background in microservices, domain‑driven design, or event‑sourcing patterns.
What Youll Actually Be Doing:
Design, build, and continuously improve our LLM-based Agentic platform. Own end-to-end architecture decisions from model orchestration and prompt design to retrieval pipelines, tool-calling patterns, and evaluation frameworks.
Architect and build high-performance services in Python and/or Node.js. Design systems for extreme speed, reliability, and real-time data processing under high traffic conditions.
Design and maintain MCP servers that give AI agents structured, secure access to internal banking systems, external APIs, databases, and developer tools making Agentic platform composable and extensible by design.
Build intuitive React interfaces that expose AI capabilities like chat interfaces, agentic dashboards, real-time streaming UIs, and internal tooling. Own state management patterns and component architecture at scale.
Partner with product managers, business stakeholders, compliance, and engineering teams to translate vision into scalable technical requirements and roadmaps.
Design and ensure the platform meets enterprise-grade security and financial regulatory standards.
Actively upskill fellow engineers on full-stack best practices, LLM integration patterns, and production of AI systems. Help define coding standards and contribute to a culture of engineering excellence.
Evaluate emerging models, frameworks, and tooling. Prototype and integrate the most impactful advances into our platform and internal developer productivity tooling.
Requirements

Required IT Enterprise Systems Support Engineer
The Role
The Engineer, IT Enterprise Systems Support, is responsible for assisting and supporting approximately 200 end users in a corporate environment, and as part of the Enterprise Systems Support team. The ideal candidate has a solid IT support foundation and experience across Windows 11, macOS, Microsoft 365, iOS, and Android platforms, coupled with exceptional customer service and communication skills.
Who You Are
A technically driven problem-solver with the ability to diagnose and resolve issues across a wide range of complexity levels.
An experienced Support Engineer who delivers exceptional customer service and communicates technical concepts in a clear, user-friendly manner.
Passionate about technology, continuously learning new tools, systems, and best practices to expand technical expertise.
Skilled at implementing effective solutions quickly while providing guidance and knowledge-sharing to users and stakeholders.
Thrives in fast-paced, customer-focused environments where technical troubleshooting, collaboration, and user support are key to success.
What Youll Actually Be Doing:
Serve as the first point of contact for employees seeking technical assistance via phone, email, chat, remote support, and in-person interactions, delivering exceptional customer service and meeting established SLA targets.
Troubleshoot and resolve hardware, software, mobile device, connectivity, and end-user computing issues across Windows, macOS, Microsoft 365, and other business-critical applications.
Provide hands-on and remote support for laptops, desktops, peripherals, and related technologies, including installations, upgrades, replacements, repairs, configurations, and deployments.
Manage support requests through the ticketing system, ensuring timely resolution, accurate documentation, and proactive communication with users.
Support and troubleshoot networking, cloud, and endpoint technologies, including Cisco, Fortinet, Amazon WorkSpaces, Microsoft Intune, Jamf, SCCM, and Windows Autopilot.
Deliver operational support for conference room technology, audiovisual systems, telephony solutions, and office security systems to ensure a seamless workplace experience.
Lead endpoint lifecycle activities, including device provisioning, operating system deployments, upgrades, asset tracking, inventory management, warranty coordination, and compliance initiatives.
Create, maintain, and improve knowledge base articles, troubleshooting guides, FAQs, and technical documentation to enhance self-service and team efficiency.

We are seeking a Business Operations Manager to partner closely with the COO and executive leadership, driving strategic initiatives, cross-functional execution, and operational excellence across the organization.

This is a maternity leave replacement role, with the opportunity to continue in the position permanently for the right candidate.

Reporting directly to the COO, you will combine business operations leadership with Chief of Staff responsibilities. You will help turn company strategy into execution, lead high-impact cross-functional initiatives, improve how teams work together, and build scalable processes and systems that support rapid growth.

You will work closely with executive leadership, Product, R&D, Marketing, Studio, and Customer Experience to bridge gaps, remove friction, and turn complex, cross-functional challenges into clear plans and effective execution.



Key Responsibilities

Strategic Execution & Governance

Leadership Alignment: Partner with executive leadership to translate company strategy into actionable operational plans and department OKRs/KPIs.
Company Operating Rhythm: Support the company's operating rhythm, including leadership syncs, quarterly reviews, cross-functional standups, and strategic offsites.
Special Projects: Lead high-impact, cross-functional initiatives from inception through rollout.
Executive Advisory & Chief of Staff Support: Serve as a trusted partner to the COO and CEO, supporting executive priorities, helping drive cross-functional projects, and tracking progress on key strategic initiatives.
Process Design & Operational Excellence

Cross-Functional Workflow Optimization: Review existing handoffs between teams to identify bottlenecks, reduce cycle times, and improve operational efficiency.
Scale & Automation: Identify manual or inefficient processes across the business and implement automation, tooling, or standard operating procedures (SOPs) to improve how the organization operates at scale.
Cross-Departmental Synchronization

Parent Company Focal Point: Serve as the primary liaison and main point of contact for cross-functional communication and strategic coordination with our parent company in Italy.
Product & GTM Alignment: Connect Product/Engineering with Go-To-Market teams (Marketing, PMM, CX) to ensure smooth launches, clear messaging and enablement, and aligned feature rollouts.
Customer Journey Improvement: Work with CX to identify customer drop-off points and areas of friction, and help drive systemic improvements across the customer journey.
Metrics, Insights & Reporting

Performance Tracking: Maintain executive-level dashboards tracking core operational health metrics, cross-functional SLA adherence, and team efficiency.
Data-Driven Insights: Analyze operational performance data to identify risks, inefficiencies, and growth opportunities across the business, and turn those insights into actionable recommendations.