Candidate Tech Hub

Job title: Principal DevOps Architect Job type: Permanent Salary: $155,000 - $190,000 Role Location: Remote, US Visa requirements: Not specified The company: Our client is a global leader and rapidly growing SaaS technology company that provides comprehensive software solutions to the clinical research industry. Their vision is to reshape the global clinical research industry with innovative solutions that help advance medicine and save lives. Their cloud-based solutions are dedicated to solving complex problems and simplifying clinical research processes to be more organized, efficient, and cost-effective. They are based out of San Antonio, TX, but are truly a remote and telecommuting company. Role and responsibilities: The Principal DevOps Architect is the senior technical authority for the cloud platform that runs our client's global, multi-tenant clinical-trial services, and drives our client's adoption of infrastructure as code and AI tooling. This is a hands-on individual-contributor architect role rather than a people-management role: the successful candidate will design the platform architecture, set the standards and reference implementations other teams build on, and still write Terraform, build pipelines, and stand up the AI platform themselves. They will define how reliability is measured against SLOs, how releases ship, and how the AI/ML platform is built and governed, and will keep the environment HIPAA-compliant and SOC 2 Type 2 audit-ready. They will influence products, software, and QA through architecture and example rather than direct authority. Technical Leadership & Architecture Own the platform architecture and technical roadmap for infrastructure, deployment, observability, and the AI platform, and advise the VP of Software Architecture and engineering leadership. Set the engineering standards, patterns, and golden paths for infrastructure as code, CI/CD, and AI tooling, and drive their adoption through reference implementations and architecture reviews. Act as hands-on technical authority and mentor to engineers across teams, leading by example in code, infrastructure, and incident response, without direct management responsibility. Drive our client's move to infrastructure as code and AI tooling and prevent uncontrolled spread of unvetted AI tools. Recommend build/buy decisions for platform tooling and evaluate vendors, with final decisions owned by the VP and CTO. Infrastructure as Code & Cloud Platform Manage all cloud infrastructure as code in Terraform as the single source of truth: reusable modules, remote state, peer-reviewed infrastructure pull requests, drift detection, and automated plan/apply in CI/CD. Enforce policy-as-code (for example, OPA or Sentinel) so infrastructure changes meet security and cost guardrails before they merge, with separation between the author and approver of a change. Design and deploy AWS infrastructure for performance, availability, recoverability, and security across development, UAT, staging, and production, meeting the CIS Critical Security Controls. Maintain and improve the multi-tenant database and hosting architecture in a cloud-hosted environment, including replication and per-tenant isolation. CI/CD & Release Engineering Build and operate CI/CD pipelines for large-scale applications on AWS using GitHub Actions or equivalent, with automated build, test, and deployment. Own release management and rollback: safe deployment strategies (blue/green, canary), fast and reliable rollbacks, and release gates for QA and customer acceptance. Package and run containerized workloads on Docker and Kubernetes (EKS), and automate configuration with tools such as Ansible and Packer. Reliability & Observability Lead the SLI/SLO/SLA program and manage error budgets to balance reliability against delivery speed. Operate modern observability using cloud-native tooling and OpenTelemetry (metrics, logs, and distributed traces) to drive down MTTD and MTTR. Analyze production events to improve reliability, operability, and customer experience, and lead blameless post-incident reviews. Participate in on-call rotations, triage and resolve incidents, and provide workarounds or escalation to service owners. AI / ML Platform Operations Provision and operate the AI/ML platform, including Anthropic Claude models served through AWS Bedrock and, where used, the Anthropic API, along with inference endpoints and our client's internal MCP services, all managed as infrastructure as code. Build guardrails and observability for AI workloads: prompt and response logging, rate limits, model and token cost controls, and usage auditing across Claude and any other models in use. Enforce the data boundary for AI systems so Protected Health Information is handled only through approved, BAA-covered providers (AWS Bedrock under the AWS BAA, and Anthropic under an Anthropic BAA where the Anthropic API is used), and confirm no PHI leaves the compliant boundary. Operate and support the agentic and MCP tooling used across engineering and operations (for example Claude Code and internal MCP services) and govern how that tooling accesses code and data with least-privilege tool access and human-in-the-loop escalation. Stand up LLMOps practices: prompt versioning and regression detection, evaluation frameworks for non-deterministic output, token-level cost attribution, and audit logging of agent actions. Route inference across a multi-provider model portfolio and manage protocol choices (such as MCP) to avoid vendor lock-in. Use AI-assisted tooling to accelerate operations where appropriate, such as incident triage, runbook generation, and log analysis. Security, Compliance & Cost Operate and evidence the platform controls required for SOC 2 Type 2 and HIPAA continuously and support external audits. Own secrets management so no credentials, keys, or tokens live in source code, container images, or Terraform state. Run supply-chain security for the pipeline: image and dependency scanning, SBOM generation, and vulnerability remediation to defined SLAs. Manage cloud cost (FinOps): tagging, budgets, and right-sizing across compute, storage, and AI/Bedrock spend. Collaboration Coordinate with product, development, support, operations, and QA so installation and integration are automated and well-documented. Communicate and work effectively across a distributed, multi-time-zone team, and cultivate cross-team collaboration and trust. Job requirements: Bachelor's degree in software engineering or an equivalent combination of technical education and work experience. 10+ years in SRE/DevOps/platform engineering delivering CI/CD, REST API deployment, containerization, IaaS/PaaS, data pipelines, and application observability, including time at a senior individual-contributor or architect level (Staff, Principal, or Architect). Proven technical authority across teams: setting architecture and standards and influencing delivery through expertise and example rather than direct management. Demonstrated experience driving adoption of a new practice or platform (infrastructure as code, a CI/CD overhaul, or an AI/ML platform) across multiple teams. Hands-on experience with Terraform, including writing reusable modules that other teams consume through self-service, remote state, and change management in a CI/CD pipeline. Experience building and operating CI/CD pipelines for large-scale applications on AWS (GitHub Actions, Jenkins, GitLab, or AWS-native). Experience running containerized workloads on Docker and Kubernetes. Experience with monitoring and troubleshooting using cloud-native tooling and OpenTelemetry; New Relic experience a plus. Linux system administration, Unix scripting, and automation. 2+ years in one or more of PHP, MySQL, and SQL is a plus, matching our client's stack. Experience working in a HIPAA / HITECH / HITRUST / PHI / PII or PCI DSS environment. What sets you apart: Experience operating an AI/ML or GenAI platform in production, including Anthropic Claude via AWS Bedrock or the Anthropic API, or comparable model-serving infrastructure, with cost and guardrail controls. LLMOps maturity: evaluation pipelines for non-deterministic output, prompt versioning, token cost attribution, and incident response for AI-specific failures (data modification, unwanted workflow triggering, or exfiltration by an agent). Experience supporting LLM applications, agents, or MCP services (for example Claude Code or custom MCP servers), and governing how they access regulated data. Familiarity with AI security and governance: OWASP LLM Top 10, key management (BYOK), and alignment to frameworks such as the NIST AI RMF. Platform-as-product mindset with a focus on internal developer experience and self-service. Experience leading or supporting a SOC 2 Type 2 examination and familiarity with security benchmarks such as CIS, OWASP, PCI DSS, and FedRAMP. Experience with policy-as-code, secrets management, and supply-chain security (SBOM, image scanning). Experience with FinOps and managing large AWS infrastructure and its cost. Experience in clinical research or healthcare technology. Self-starter who establishes best practices, ships on time, and communicates complex technical information clearly to any audience. Benefits: Our client sponsors health insurance, long-term disability, and life insurance. Unlimited paid time off. 10 paid holidays. Paid parental leave. Work anniversary bonus. Participation in the Employee of the Quarter program. Monthly $100 connectivity stipend reimbursement. Our client matches employee 401(k) contributions at 100% of the first 3% invested and 50% of the next 2% invested. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.     We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.     Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time.   Check out our DE&I page here    

Senior Software Engineer Job Type: Full-time, Permanent Salary: $120,000–$180,000 + Benefits Location: Onsite – Austin, Texas Company Overview: A series A, venture-backed startup is building a suite of financial tools designed to bring greater flexibility and transparency to a historically underserved market. The company supports both individuals and businesses through a platform that simplifies key financial and operational workflows. Founded by experienced operators with prior startup success, the team is backed by top-tier fintech and consumer tech investors. The company is entering a new phase of growth and is expanding its engineering team to support increased demand and an ambitious product roadmap. Role Overview: The Senior Software Engineer will play a key role in designing and scaling the platform’s core systems. This is a high-impact position with direct exposure to leadership and an opportunity to contribute meaningfully to product direction, technical standards, and team culture. Location: Candidates should be based in Austin, TX, as the product and leadership teams operate locally in an in-office model. Key Responsibilities Build and maintain scalable backend systems and user-facing products Contribute to evolving system architecture with a focus on performance and reliability Collaborate cross-functionally to ensure technical work aligns with business needs Promote engineering best practices including code reviews, testing, and documentation Ideal Qualifications 5+ years of professional experience in software engineering Strong backend experience, ideally with Ruby or similar languages Familiarity with React or other modern frontend frameworks is a plus Experience with infrastructure tools like AWS and Terraform is a bonus

Job title: Senior Acumatica Construction Consultant Job type: Permanent Salary: $110,000 - $130,000 + bonus Role Location: US Remote Visa requirements: US Work Authorization Required (no visa sponsorship) The company: Our client is a leading Acumatica partner delivering successful ERP implementations for clients across the construction sector. They are looking for a Senior Acumatica Construction Consultant to join their growing team and play a key role in leading these implementations from end to end. Role and responsibilities: Leading end-to-end Acumatica ERP implementations for construction clients. Gathering business requirements and translating them into effective ERP solutions. Configuring Acumatica Construction Edition, including project accounting, job costing, payroll, retainage, compliance, and subcontract management. Facilitating workshops and providing trusted advisory services to stakeholders. Delivering user training and post-go-live support. Collaborating with technical consultants and developers on solution design and customisations. Mentoring junior consultants and contributing to best practices across the consulting team.   Job requirements: Minimum 4+ years of hands-on Acumatica consulting experience. Strong experience implementing Acumatica Construction Edition or delivering ERP solutions within construction, contractors, engineering, or specialist trades. Deep understanding of construction business processes, including: Project Accounting Job Costing Project Management Change Orders Retainage Progress Billing Compliance & Subcontract Management Excellent client-facing consulting and stakeholder management skills. Strong workshop facilitation, business analysis, and solution design experience. Ability to manage multiple client projects in a fast-paced consulting environment. Acumatica certifications are highly desirable. Benefits: Competitive base salary with performance-related incentives. Comprehensive health, dental, and vision insurance. 401(k) retirement plan with employer contribution. Generous paid time off and paid holidays. Flexible and/or remote working arrangements. Professional development support, including certifications and training. Opportunities for career growth within a growing organisation. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.     We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.     Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.   Check out our DE&I page here  

Job title: Microsoft Dynamics Developer – Full Stack (CRM and Azure) Job type: Perm Salary: $80,000 - $90,000 Role Location: Remote, USA Visa requirements: Full US Work Authorization (no visa sponsorship provided) The company: Our client is a leading nonprofit organization that supports a large network of religious communities across North America. They are currently undertaking a major multi-year digital transformation program, migrating multiple organizations from legacy CRM systems to Microsoft Dynamics 365 Fundraising & Engagement. Role and responsibilities: Our client is seeking an experienced Full Stack Microsoft Dynamics Developer to join their Technology & Innovation team. This is a high-impact, hands-on technical role supporting a flagship digital transformation program across 40+ Federation communities. Key responsibilities include: Designing, developing, and maintaining C# Dataverse plugins (synchronous and asynchronous) to support complex business logic and Federation-specific customizations. Building and supporting the Dynamics 365 Fundraising & Engagement platform, including gift processing, pledge management, constituent relationship management, and campaign workflows. Developing Azure Functions, Durable Functions, and integration services to connect Dynamics 365 with third-party systems. Managing Azure DevOps CI/CD pipelines, solution deployment, and ALM strategy across multiple environments. Contributing to Microsoft Fabric and Azure Data Factory pipelines for data migration and analytics. Leveraging AI tools (such as Claude Code, Claude API, GitHub Copilot, and Azure OpenAI) to accelerate development and improve code quality. Supporting Federation-specific customizations and acting as a senior technical resource for internal teams and implementation partners. Developing Power Automate flows, Power Apps, and Copilot Studio agents as needed. Job requirements: 5+ years of hands-on Microsoft Dynamics 365 CE/CRM development experience in production environments. Strong experience writing C# Dataverse plugins (both synchronous and asynchronous). Deep knowledge of the Dataverse SDK, solution management, and ALM practices. 3+ years of Azure development experience, including Azure Functions, Durable Functions, Azure Service Bus, and Azure DevOps (YAML pipelines). Proficiency in RESTful APIs, integrations, and webhooks. Strong C#, JavaScript/TypeScript, and SQL skills (including FetchXML). Preferred Qualifications: Experience with nonprofit fundraising platforms, particularly Dynamics 365 Fundraising & Engagement. Background supporting large-scale CRM migrations in multi-site or federated environments. Hands-on experience with AI developer tools (Claude, Copilot, Azure OpenAI, etc.). Familiarity with Microsoft Fabric, Azure Data Factory, or Synapse Analytics. Relevant Microsoft certifications (MB-400, MB-210/MB-910, AZ-204, PL-400, MB-600 preferred). Benefits: Our client offers a competitive salary, comprehensive benefits package, and the opportunity to work on a meaningful digital transformation program that supports Jewish communities across North America. Additional benefits include flexible/hybrid working arrangements and professional development opportunities. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.     We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.     Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.   Check out our DE&I page here  

Job title: Founding Software Engineer Job type: Perm Salary: $150,000–$180,000 base salary + equity Role Location: Jersey City, NJ — Hybrid The company: Our client is an early-stage technology company using AI to solve one of the biggest information problems facing infrastructure development. Their platform brings together regulations, technical standards, permitting requirements and agency guidance from thousands of sources, using AI to make complex regulatory information searchable, structured, explainable and actionable. This is a founding engineering opportunity where you'll work directly with the founders and have significant influence over the technical direction, architecture and product. Role and responsibilities: Design and build the backend architecture for a complex AI-powered regulatory intelligence platform. Build pipelines that discover, ingest, classify and monitor regulatory changes across federal, state and local governments. Develop structured permitting workflows that translate regulations into clear requirements, decision points and permit pathways. Build AI and LLM-powered workflows that extract structured, explainable knowledge from complex regulatory documents. Design APIs and services connecting regulatory intelligence with mapping and workflow products. Build systems capable of processing large-scale geospatial and regulatory datasets efficiently. Develop search, retrieval and knowledge representation systems. Make key architecture and technology decisions across the platform. Job requirements: 4+ years of software engineering experience with significant ownership of production systems. Strong experience designing and building search systems. Experience working with GraphQL and REST APIs. Experience building AI agents, agentic workflows or LLM-powered automation systems using technologies such as LangGraph, LangChain, CrewAI, OpenAI Assistants/Responses API or similar. Strong Python development experience and experience with modern Python frameworks. Strong experience with PostgreSQL and relational databases. Comfortable working with large datasets. Nice to have: Experience with spatial indexing, GIS or mapping frameworks. Experience within infrastructure, energy, environmental permitting, utilities or regulatory technology. Previous experience at a high-growth startup or on a founding engineering team. Experience building 0-to-1 products and taking systems from concept through to production. Accessibility Statement: We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here

Job title: Data Engineer Job type: Perm Role Location: Paris, France - 5 x per week in office The company: A fast-growing technology company building data-driven products around places, locations, and real-world experiences. The team works with large-scale datasets and complex real-world signals to build reliable, high-quality data products, who are searching for an experienced Data Engineer, specifically experienced in geospatial data, place matching etc. What makes this role different: is that unlike a traditional data engineering role focused primarily on pipelines, storage, and infrastructure, this position sits at the intersection of data engineering and real-world places data — working with noisy geospatial signals to identify, match, enrich, and measure the quality of places and locations. Role and responsibilities: Build and improve data pipelines for location and place-related data. Work with large, complex, and noisy geospatial datasets. Improve data quality, reliability, monitoring, and observability. Develop metrics and feedback loops to measure data quality. Prototype and analyse solutions using Python, SQL, notebooks, and similar tools. Support production experiments and integrations with backend systems. Conduct offline evaluations and A/B testing where appropriate. Job requirements: Strong Python and SQL skills. Production experience with Python or Scala. Experience with PySpark, Spark SQL, Spark Streaming, Parquet, and Iceberg. Strong experience working with large-scale datasets and data pipelines. Experience with geospatial data, POIs, entity matching, or similar real-world data (must have) Understanding of data quality, metrics, and experimentation. Comfortable working alongside backend systems and navigating production code. Experience in maps, mobility, local search, POI data, or geospatial systems (nice to have) Experience with ranking, recommendations, embeddings, or entity resolution (nice to have) Experience with Flink or similar stream processing systems (nice to have) Experience reading or making scoped changes in Rust-backed systems (nice to have) Benefits: 100% healthcare coverage. Fully paid maternity, paternity, and second-parent leave. 8+ PTO, including additional RTT and public holidays. Company-wide shutdowns during the year Central Paris office with excellent public transport connections. Collaborative, fully onsite working environment. Accessibility Statement: We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here  

Senior Python AI Engineer Location: Italy Salary: Up to €80,000 Working: Remote, with occasional client-site travel We are working with a leading AI engineering consultancy building an Agentic AI platform for a major global enterprise organisation. We're looking for a Senior Python Engineer to work across platform development and customer deployment. The role This is a Forward Deployed Engineering position. You'll build the Agentic AI platform before working directly with customers to deploy solutions into their environments. The role is predominantly remote, with occasional travel to client sites across Europe. Typically, this will be around 3 days every couple of months, with all travel and expenses covered. What we're looking for Strong commercial Python experience FastAPI highly desirable Cloud and Kubernetes experience Strong platform experience Comfortable using AI coding tools such as Claude or Copilot Strong communication and client-facing skills Interview process 30-minute talent call 1-hour live coding interview 45-minute conversational hiring manager interview

Job Title: Data Architect (Azure) Job Type: Contract — 12 months Salary: €250 per day Job Location: Sofia, Bulgaria — Hybrid, 2 days per week onsite The Company: Signify Technology are working with a leading global professional services and consultancy firm with a well-established presence across Europe. They support a large international client base and are scaling up their data and analytics capability, giving this hire genuine ownership over how enterprise data platforms are designed and delivered across the business. The Role: Data Architect (Azure) You'll design and implement enterprise-grade data solutions built primarily on Microsoft Azure, working across Azure Synapse Analytics, Microsoft Fabric, and Databricks, and translating business requirements into scalable data platforms, warehouses, and lakes. You will: Analyse customer requirements and translate them into scalable data architecture and solution designs Design and build large-scale, high-performing data platforms, warehouses, and lakes Apply modern data architecture patterns, including Data Vault and Medallion Architecture Define and implement data governance frameworks, standards, and best practices Work closely with business, technical, and client stakeholders through delivery, including project planning and timelines Skills/Experience Required: 7+ years designing and building data solutions Strong experience with Microsoft Azure and cloud-based data platforms Hands-on experience with Azure Synapse Analytics, Microsoft Fabric, and/or Databricks Strong understanding of Data Warehouse and Data Lake architectures, including Data Vault and Medallion Architecture Proven experience with relational and non-relational database technologies Strong communication and stakeholder management skills, fluent English Desirable Skills: Experience with GCP and/or AWS Cloud Architect or Data Architect certification Experience with machine learning or AI-driven data solutions German language skills Client Benefits: 12-month contract with a well-established global organisation Hybrid working — 2 days onsite in Sofia  If this sounds like a good fit, reply with your updated CV, availability, and rate expectations and we'll be in touch. Tana Mushambadope tana.mushambadope@signify-tech.com Diversity & Inclusion & Accessibility Statement Read and apply for this role in the way that works for you using our Recite Me assistive technology tool. We make an active choice to be inclusive towards everyone every day, please let us know if you require any accessibility adjustments through the application or interview process. Signify's mission is to empower every person, regardless of background or circumstance, with an equitable chance to achieve the careers they deserve

Lead Python AI Engineer – Ireland Location: Ireland Salary: €110,000–€120,000 + bonus Working: Remote, with occasional client-site travel   We are working with a leading AI engineering consultancy building an Agentic AI platform for a major global enterprise organisation.   As a Technical Lead, you will be responsible for leading and guiding development teams while working directly with clients to translate business and technical requirements into impactful applications.   This is a Forward Deployed Engineering position. You will work hands-on building an Agentic AI platform before working directly with customers to deploy and implement solutions within their environments.   The role is predominantly remote, with occasional travel to client sites across Europe. Typically, this will be around 3 days every couple of months, depending on project requirements. All travel and expenses are covered.   What we're looking for Strong commercial Python experience FastAPI experience is highly desirable Experience with cloud platforms and Kubernetes Strong platform / infrastructure understanding Comfortable working with AI coding tools such as Claude or Copilot Strong communication skills and confidence working directly with clients 2+ Years in leadership role (technical & people)   Interview process 30-minute talent call 1-hour live coding interview 45-minute conversational hiring manager interview   If you're a Lead Python engineer looking to work directly on the development and deployment of an Agentic AI platform, this is an opportunity worth exploring.

Job title: Senior Data Engineer Job type: Permanent Salary: Competitive, based on experience Role Location: Onsite in Paris, France The company: An innovative technology company operating in a fast-paced, data-driven environment. The business is focused on building scalable technology and reliable data infrastructure to support a growing range of products and services. Role and responsibilities: Design, build, and maintain scalable data pipelines and processing systems. Improve the reliability, quality, and performance of data across the organisation. Develop automated processes to monitor and validate data. Create reusable datasets and data solutions for internal teams. Optimise data processing workloads for performance, reliability, and cost. Work closely with engineering teams to deliver and improve data capabilities. Contribute to the development of the company's wider data engineering practices. Job requirements: Several years of experience designing, developing, and supporting production-grade data pipelines. Strong hands-on ability with Python and SQL, with additional experience in Scala or a comparable programming language. Practical experience using Apache Spark, including PySpark and Spark SQL, for large-scale data processing. Experience working with stream-processing technologies, including Spark Streaming or equivalent systems. Familiarity with Parquet and modern table/storage technologies such as Apache Iceberg. Solid understanding of the differences and trade-offs between batch and streaming architectures. Demonstrable experience improving query performance and data-processing efficiency. Understanding of distributed data processing engines and their underlying architecture/internals. Experience working with data lakes, large-scale storage platforms, table formats, and derived/curated datasets. Strong understanding of data quality, reliability, monitoring, and operational best practices. Nice to have: Exposure to Apache Flink or another comparable stream-processing framework. Experience supporting machine-learning data workflows, including training or inference pipelines. Familiarity with areas such as recommendation systems, ranking, embeddings, or entity matching/resolution. Experience working with privacy-sensitive datasets or systems involving data retention, deletion, export, or regulatory requirements. Benefits: Competitive salary package + equity for all employees, regardless of level. Comprehensive healthcare coverage. Enhanced parental leave provisions. Generous annual holiday allowance. Company-wide shutdown periods during the year. Modern Paris office with a collaborative working environment. Accessibility Statement: We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: We are committed to creating an inclusive workplace where everyone has an equitable opportunity to build a successful career, regardless of their background or circumstances. We believe diverse perspectives strengthen our teams and contribute to a better future for everyone. Check out our DE&I page here