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AI, ML, & Data Engineering

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AI, ML, & Data Engineering

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Job title: Scala Developer Job type: Permanent Role Location: Remote-first - MUST be based in the US and be a US citizen - candidates based outside of the US or non-US citizens will not be considered The company: Our client is a growing technology company developing infrastructure and data-processing solutions for high-volume, real-time environments. The engineering team works on challenging problems across distributed systems, streaming data, graph technologies and large-scale data infrastructure. Their platform is designed to process and analyse continuously changing datasets at scale, enabling customers to identify relationships, patterns and anomalies in real time. This is an opportunity to join a technically ambitious team where engineers have significant influence over architecture, product development and engineering practices. Role and responsibilities: You will work on the design, development and ongoing improvement of highly scalable and fault-tolerant systems. Your responsibilities will include: Designing and developing distributed systems capable of handling high volumes of data and traffic. Building reliable protocols and services for distributed environments. Developing high-throughput, back-pressure-aware streaming pipelines. Contributing to the architecture and evolution of data-processing and query infrastructure. Working with concurrency, parallelism and fault tolerance within the JVM ecosystem. Developing new functionality across streaming, graph and data-processing components. Investigating complex technical problems and identifying robust, maintainable solutions. Working closely with engineers, architects and product colleagues to translate requirements into effective technical solutions. Contributing to technical documentation and sharing knowledge across the engineering team. Job requirements: Strong commercial experience with Scala or another functional programming language - minimum 3+ years Experience designing and building robust distributed systems and protocols - minimum 3+ years Strong understanding of concurrency and parallelism on the JVM. Experience developing scalable, high-performance and fault-tolerant applications. Familiarity with Akka/Pekko or the Actor-model Experience working with complex data infrastructure. Ability to learn new technologies and apply them effectively. Strong communication skills, with the ability to explain technical concepts clearly. Comfortable contributing to technical documentation and presenting ideas to colleagues. Desirable experience: Experience with graph databases or graph algorithms. Experience working with Kafka or similar streaming technologies. Experience with distributed NoSQL databases such as Cassandra, ScyllaDB or comparable technologies (in large clusters) Previous experience working within a small, rapidly growing technology company. Benefits: Medical, dental and vision insurance 401(k) Remote-first working environment Flexible approach to where and how you work Opportunities for continued technical learning and development Collaborative engineering culture with exposure to complex distributed-systems challenges 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: United States Salary: Up to $180,000 Working: Remote 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 the deployment of AI solutions into customer environments. 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 Comfortable working in a highly technical, AI-native environment Interview process 30-minute talent call 1-hour live coding interview 45-minute conversational hiring manager interview

Senior Low Latency OEMS Engineer (Java)  Permanent | New York, NY (Hybrid) | $150,000–$225,000 base + discretionary bonus + full benefits The Client  An established multi-strategy hedge fund with a global footprint, known for a disciplined, tech- and data-driven approach to trading and risk. The Role  Join the team building and running the firm's in-house Order and Execution Management System — a deterministic, event-driven platform on a clustered Aeron/SBE core with FIX links to executing brokers. It's the path every order takes from trader to market, serving desks in New York, London and Tokyo, live on equities and expanding into new asset classes. You'll own latency-critical components end to end, and work AI-first: coding agents are part of daily design, build, review and production work. What You'll Do Build zero-allocation, latency-critical logic in the sequenced core: order lifecycle, pre-trade risk, broker routing, position marking Own market-facing gateways: FIX (initiator/acceptor), a client-facing Aeron/SBE API, Kafka/Protobuf integrations Apply hot-path Java tricks: object/buffer reuse, primitive collections, flyweight codecs, off-heap buffers, GC-free steady state Benchmark and tune latency with JMH, hop-to-hop production timing and distributed tracing Drive correctness with BDD, snapshot/replay-equivalence and integration tests Use AI coding agents daily and help evolve the team's shared agent rules, skills and guardrails Support deployment: containers, config-managed releases, CI, cross-region DR What You'll Bring Expert Java (current JDK), deep low-latency chops: allocation-free code, mechanical sympathy, lock-free/single-writer design Aeron (transport/archive/cluster) + Agrona, or equivalent (Chronicle, LMAX Disruptor) SBE and/or Protobuf; FIX session/application level (Artio or QuickFIX/J a plus) GC tuning for low latency (ZGC, Shenandoah, G1), JIT/escape analysis, JFR or async-profiler Real, hands-on use of AI coding agents (e.g. Claude Code, Cursor, Codex) on production work — including knowing when to override them 6+ years Java, 3+ years on low-latency trading systems (OMS/EMS, exchange/broker gateways, market data, or HFT) Track record owning a production trading system on Linux, incident response included CI/CD, containers (Docker/Podman), config management (Ansible or similar), AWS Nice to Have Python  Equities experience  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

QA Lead - Greenfield Automation build - Remote - Contract - 6 months Rolling  Signify have partnered with a billion dollar manufacturing business that spans software, industrial builds and data center manufacturing.  They are looking for an AI native, QA Lead to build automations frameworks from the group up.    Build a greenfield quality engineering practice across software and data analytics Hands-on player-coach role: own the strategy, select the tools, and embed automated testing into CI/CD Put AI at the centre: AI-generated tests, self-healing automation, and AI-assisted defect triage The stack is open. You could introduce Playwright or Cypress for automation, GitHub Copilot for test generation, and tools such as mabl or Testim for AI-assisted testing. Data quality tooling could include Great Expectations or dbt tests. Today, testing is largely manual, with Azure DevOps and early UiPath experimentation. They need someone who has built or transformed QA practices and can turn AI ideas into practical improvements. Get in touch for more info. 

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