• Implement secure, compliant client environments using industry standards and best practices appropriate for regulated financial and alternative investment firms, under the guidance of Senior Project Engineers and the Project Engineering Manager. • Support onboarding projects from discovery through cutover and handoff to Support; serve as the primary implementation engineer on projects led by a Senior Project Engineer. • Contribute to Technical Project Plans in partnership with Senior Project Engineers and Project Managers by translating discovery findings into detailed tasks, effort estimates, and risk and mitigation considerations, including access controls, logging, data protection, and change management. • Execute cloud and infrastructure builds, including: • Microsoft 365 (Exchange Online, SharePoint Online, OneDrive, Teams, Intune, Conditional Access) • Entra ID (Azure AD), Windows Server, Active Directory, Group Policy • File and email migrations from legacy or on-premises environments • Network and security components such as firewalls, switches, and wireless access points • Perform and document cloud and infrastructure assessments, producing clear, prioritized recommendations aligned with client risk appetite, regulatory expectations, and industry best practices. • Follow and help refine documented onboarding, discovery, and quality control processes to ensure consistency, traceability, and audit readiness. • Serve as a technical escalation point for Junior Project Engineers and interns during onboarding projects, escalating complex issues as appropriate. • Collaborate closely with Project Managers to provide clear, timely updates on progress, risks, dependencies, and next steps to internal stakeholders and client leadership. • Produce and maintain high-quality technical documentation, including runbooks, configuration guides, and diagrams, suitable for audits, security reviews, and investor DDQs. • Contribute to continuous improvement by identifying opportunities for automation, standardization, and process refinement, and by feeding lessons learned back into onboarding standards and workflows.

• Research and develop next-gen code analysis and remediation algorithms • Work hands-on with GenAI models and integrate them into detection workflows • Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis) • Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations • Design and implement machine learning and algorithmic solutions for code analysis • Build GenAI-powered developer tools for static and semantic code analysis • Enhance our existing detection infrastructure with intelligent, context-aware insights • Translate cutting-edge research into practical, scalable product features

Role Description We are looking for experienced Aerospace and Mechanical Engineering professionals with strong expertise in CAD modeling, simulation workflows, and engineering analysis to contribute to an advanced aerospace-focused AI and engineering project. This role is ideal for engineers with hands-on experience working on complex aerospace systems, simulations, and design optimization initiatives within high-performance engineering environments. You will work on aerospace design and simulation tasks involving industry-standard engineering tools, helping evaluate and support sophisticated engineering workflows. Candidates with backgrounds in globally recognized aerospace and engineering organizations are strongly preferred. - CONTRACT: Contractor assignment (8 weeks) - COMMITMENT: Part-time (20h/week) or Full-time (40h/week) with minimum 4h PST overlap - LOCATION: Remote — India, Mexico, Bangladesh, Brazil, Colombia, Egypt - PROCESS: Delivery Review → Short Interview → Offline Assessment - NOTES: Strong communication skills are required. Candidates currently working with leading aerospace/engineering companies are highly preferred. Qualifications - Bachelor’s degree in Aerospace or Mechanical Engineering - 8+ years of experience in CAD engineering and simulation-focused environments - Strong aerospace or mechanical engineering fundamentals - Hands-on experience with aerospace modeling, simulation, or design projects - Proficiency with CAD and simulation tools such as CATIA, SolidWorks, ANSYS, or MATLAB - Strong written and verbal English communication skills Requirements - Develop and refine CAD models for aerospace-related engineering projects - Perform simulations and engineering analysis using industry-standard tools - Translate engineering requirements into simulation workflows and technical models - Validate and optimize designs based on simulation outcomes - Work with aerospace and mechanical engineering datasets and specifications - Collaborate with cross-functional engineering stakeholders - Document methodologies, assumptions, processes, and results - Support evaluation and improvement of engineering workflows and outputs - Contribute to technically rigorous aerospace design initiatives

Role Description As a Forward Deployed Engineer, you deliver customer outcomes by turning real operational needs into working software on top of our platform. You will partner closely with customer teams to understand their processes and data landscape, shape a clear technical approach, and ship end-to-end solutions spanning data integration, domain modeling, and user-facing applications. You will report to our Head of Engineering, who will support you as a senior sparring partner for technical decisions, reviews, and escalation. Your Mission - Partner with customer stakeholders to understand workflows, constraints, and goals, then translate them into a clear technical plan. - Identify relevant data sources across established system landscapes (ERP/MES/PLM, spreadsheets, databases), clarify access paths, and move from assumptions to usable inputs. - Extend SPREAD’s info-model when needed (GraphQL schema), keeping solutions reusable beyond a single engagement. - Build data mappings and integration flows with our internal ETL/mapping tooling (nextgen-xmap), turning cross-system references into maintainable pipelines. - Deliver user-facing solutions in two ways, depending on what the situation needs: - Rapidly via low-code when speed is the best lever - Via custom UI in TypeScript/React when the use case calls for it - Communicate progress and trade-offs clearly with Product, Value Realization, and Engineering. Surface risks early and ask for the right support. - Travel occasionally to customer sites when it meaningfully improves discovery, alignment, or rollout. - Package your outcomes so they can scale, including solid documentation, clean structure, and a handover-ready setup for engineering follow-through. Qualifications - 4+ years of engineering experience delivering software in real-world environments, including ambiguity, constraints, and deadlines. - Strong hands-on skills in JavaScript or TypeScript and React. - Ability to write complex SQL confidently, including joins, aggregations, window functions, and performance-aware querying, to explore and validate enterprise data. - Practical understanding of ETL and data integration fundamentals, including mapping, transformation, validation, and how source data becomes something a UI can rely on. - Comfort in customer-facing settings: you listen well, ask sharp questions, and explain technical choices clearly to different audiences. - Delivery mindset and ownership: you scope, iterate, and get to a working outcome. Requirements - GraphQL experience, or the ability to pick it up quickly if you are strong in SQL and schema thinking. - Exposure to low-code and AI tooling, and you genuinely enjoy building this way. - Experience navigating established enterprise systems and complex data landscapes (SAP, Oracle, custom databases, multi-team ownership). Benefits - Build customer-facing solutions at an AI-first company where shipping value is the baseline, and where platform leverage grows with every successful delivery. - Work at the intersection of product, engineering, and customer teams with the freedom to shape approach, scope, and implementation. - Make measurable impact in complex enterprise environments, where integrated data and usable applications directly change how teams operate. - Strong overall package including attractive compensation, mobility budget (Deutschlandticket), Urban Sports partnership, 30 vacation days, workation options, a volunteering day, and an annual learning budget. Contact Dmytro İefymenko Köpenicker Str. 40c | 10179 Berlin Stay connected—follow us on for the latest insights and updates Company Description Our Engineering Intelligence Graph, analytics hub & low-code collaboration environment form an intelligent layer on top of your existing engineering software stack. - Our EI Graph database represents how mechatronic systems work. - Together with our analytics hub, it connects all product data and puts it into logical context. - This makes it easy for engineers across all domains to consider critical dependencies in their flow of work. - This means they can save time, make fact-based decisions efficiently, and spend their time on complex engineering tasks.