Candidate Tech Hub

Senior Backend Software Engineer (Ruby on Rails) Full-time, Permanent 100% Remote (US) — candidates based in California, New York, or Texas preferred $150,000 - $185,000 base salary + Benefits + Early Stage Equity About the Client: An early-stage fintech company structured as a public benefit corporation, building software for credit unions. The team is small, well-funded, and moving quickly as it scales toward its next stage of growth. Project / Role Overview: You'd be joining a team of four engineers working almost entirely on the backend. There are no product managers here, so engineers own their work across the full lifecycle, from framing the problem to shipping and maintaining it. This is a flat, high-ownership environment where you'll be trusted to make real product and architecture calls, not just implement someone else's spec. Responsibilities:  Own backend systems built in Ruby on Rails from design through production Partner directly with the founding team on product direction, not just execution Make architectural trade-off calls in a fast-moving, resource-constrained environment Work closely with a small, fully distributed engineering team Required Skills and Experience: 6+ years of professional software engineering experience Strong hands-on experience with Ruby on Rails backend development Track record of owning products end-to-end rather than just executing tickets Comfortable operating independently in ambiguous, fast-changing environments High ownership mentality and genuine interest in early-stage, mission-driven work Experience in fintech or another highly regulated industry such as healthcare Process (Four stages): An initial conversational interview with the hiring manager A product-focused discussion with a current engineer A hands-on Rails coding exercise that builds on that product discussion A final conversation with the founding team. Please note we are unable to offer employer sponsorship for this role.

Site Reliability Engineer, London, Global Exchange Operator 4 Days Per week in London Office   We are working exclusively with one of the world's largest exchange operators on an SRE hire in London. This is a hands-on technical role at the heart of a follow-the-sun support model, providing critical coverage for both European markets and US global trading hours on ultra low latency bare metal infrastructure.   The Role You will own platform configuration management, incident response and system availability across production, disaster recovery and certification environments. Working independently across time zones, you will troubleshoot complex issues on bare metal Linux systems, execute SQL-driven configuration changes, build Python automation tooling and work closely with software, systems and network engineering teams globally.   Tech Stack Linux, UNIX shell, kernel-bypass networking (Solarflare/Onload) Python, SQL, C++ Bare metal on-premises infrastructure   What They Are Looking For Background in technical operations, systems, network or database administration Comfortable working independently with minimal supervision across global time zones Familiarity with European and US equities, options or futures market structures preferred Degree in Computer Science or related field preferred

Job title: Senior Machine Learning Engineer Job type: Permanent Salary: $180K - $260,000 + Equity  Role Location: San Francisco, United States The Company: We’re partnering with a well-funded, fast-scaling healthtech startup reinventing musculoskeletal care using proprietary AI and 3D-printing technology. The business has developed a web-based, sensor-free AI vision platform that transforms a 30-second scan into a clinically approved, precision-manufactured medical device. Already trusted by Fortune 50 employers, major health systems, and national manufacturers, the platform is expanding access to preventative care for hundreds of thousands of Americans. Fresh off a stealth funding round led by top-tier VCs, the company is: Growing 10x year-over-year Profitable month over month Scaling rapidly toward $100M ARR Operating with a high-ownership, execution-first culture out of Boston This is a rare opportunity to join at a true inflection point - early enough to shape the company, late enough to have real traction. Role and Responsibilities:  We’re hiring a Senior Machine Learning Engineer to design and build parametric, procedural CAD pipelines that generate custom orthopedic devices from anatomical landmarks and clinical parameters. Partner with clinicians and design experts to extract domain knowledge and translate it into explicit parameter spaces, constraints, and rules that can be automated. Build a maintainable library of parametric components and design primitives that generalize across products and extend into new device categories such as orthotics and prosthetics. Work with the AI team to define the interface between learned components, such as landmark estimation and parameter prediction, and the rule-based CAD layer. Develop geometric tooling including freeform surfaces, trimlines, top-surface estimation, offsets, and feature placement to produce clinically correct, manufacturable geometry. Drive geometry programmatically through CAD and geometry APIs and kernels, moving beyond GUI-based workflows toward automated, high-throughput modeling. Own the bridge from design to manufacturing, ensuring outputs are printable and meet quality requirements, and help automate design QC Job Requirements: 5+ years building parametric and procedural CAD systems, ideally in a product or manufacturing context. Strong programmatic CAD experience, scripting and automating geometry rather than working through a GUI, using tools such as Rhino/Grasshopper, Onshape API, SolidWorks API, Fusion API, or similar Solid command of geometric modeling fundamentals including NURBS, B-Rep, meshing, and surface/solid operations. Proficiency in Python, TypeScript, C++, or another programming language. A collaborative, translational mindset, comfortable working with clinicians and designers to turn expert intuition into precise, parameterized systems. Ability to work well in an early-stage, fast-moving environment where the problem space is still being defined Nice to Have Experience with geometric modeling kernels such as OpenCascade or Parasolid Experience with implicit geometric representations Experience with simulation-in-the-loop design, shape optimization, or topology optimization Familiarity with CAD interoperability standards such as STEP, IGES, or JT Exposure to AI-driven or generative CAD workflows, enough to collaborate effectively with an ML team Background in footwear, orthotics, prosthetics, dental, medical devices, or another domain that maps anatomy to custom physical products 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

Director, AI Enterprise Architecture Job type: Permanent Salary: $210,000 - $240,000 + bonus Role Location: Greater Boston Area, Massachusetts Visa requirements: No Sponsorship provided – must have full US Work Authorization The company Our client is an established biopharmaceutical company building out its IT function as the business scales. They are creating a newly established Director, Enterprise Architecture role reporting directly to the CIO, giving the organization its first independent, enterprise-wide architecture voice across the whole IT function. The role sits at a pivotal moment, with the company running parallel evaluations of its core ERP/HRIS and CRM platforms and shaping how AI and agentic capability get built into its technology roadmap going forward. Role and responsibilities Own and evolve enterprise architecture standards, principles, and governance across applications, data, integration, and infrastructure, building reusable patterns and reference architecture so knowledge sits with the organization rather than any one person Act as the connective architecture authority across the IT function, making sure platform and integration choices in one area don't create fragmentation or duplicate technology elsewhere Establish and lead a disciplined technology investment and architecture review process for major platform and vendor decisions Translate the company's AI and data strategy priorities into concrete architecture requirements, including data model implications and the platform capabilities needed to host and govern AI and agentic workflows Partner with the emerging enterprise AI strategy effort to ensure architecture decisions reflect where the business is investing in AI Score and evaluate platform and vendor options against AI-readiness criteria as a standing input to major platform decisions, including the current ERP/HRIS and CRM evaluations Act as lead architect on the ERP/HRIS assessment and CRM successor evaluation, ensuring both are architected as one coherent backbone rather than chosen independently Define integration architecture and standards across ERP, CRM, HRIS, and data platforms, partnering with the data strategy team on the underlying data architecture and governance model Partner closely with IT leadership across the business and bring material architecture decisions into governance forums to give the CIO an independent architecture view Work with the CIO to define the case, scope, and hiring plan for growing into a small architecture team as implementation work scales, mentoring solution architects across the organization in the meantime Job requirements Bachelor's degree in Computer Science, Information Technology, Business, or a related field, with 10+ years of progressive experience in enterprise or solution architecture roles, or equivalent experience Direct experience in the pharmaceutical, biotech, or life sciences industry, including familiarity with SOX ITGC, GxP, and data privacy frameworks such as GDPR and HIPAA, required Demonstrated ownership of multi-year technology roadmaps connecting business strategy to technology decisions Hands-on experience architecting or evaluating enterprise-scale ERP, CRM, and/or HRIS platforms, with Tier 1 platforms such as Oracle Fusion Cloud ERP, SAP S/4HANA, or comparable strongly preferred Substantive, current experience with AI and agentic system architecture, including evaluating platforms for native agentic capability, API and integration depth, and data model implications for AI use cases Strong data and integration architecture background, including master data management, enterprise data platforms such as Snowflake or comparable, and integration patterns across a fragmented, multi-system landscape Demonstrated ability to operate independently and cross-functionally at the executive level, advising CIO and leadership-level stakeholders on architecture trade-offs, vendor governance, and investment prioritization Track record of building architecture standards, governance, and documentation from a low-maturity or fragmented starting point Experience architecting for or alongside a managed services or hybrid resourcing model, where core architecture is owned internally while specialized execution is outsourced Prior experience building and leading an architecture team, or clearly demonstrated readiness to do so Strong stakeholder management and executive communication skills Proven ability to align enterprise architecture with business strategy and drive measurable outcomes Benefits Our client also offers a strong benefits package to employees, including: 401(k) plan with a generous employer match 12 weeks of paid parental leave Up to 12 weeks of living organ and bone marrow donor leave Equity incentive plans Health plans including medical, prescription drug, dental, and vision coverage Life insurance and disability coverage Flexible time off Annual winter holiday shutdown At least 11 paid holidays per year 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: Senior Data Scientist Job type: Permanent Salary: €55,000 – €60,000 base salary Role Location: Hybrid – Athens, Greece (2 days per week in the office) The company: Our client is an established consumer technology business with a subscription and rewards-driven platform used by a large, active customer base. Data is at the heart of the organisation, driving decisions across marketing, pricing, customer engagement, and product strategy. As the business continues to invest in advanced analytics and AI, they're building next-generation agentic analytics capabilities, giving this role the opportunity to influence how intelligent analytical systems are developed and embedded into day-to-day decision making. Role and responsibilities: Act as a strategic partner to stakeholders, delivering data-driven insights and recommendations that influence business decisions. Build and maintain customer segmentation, propensity, and scoring models to optimise lifecycle marketing. Partner with marketing teams to design, execute, and evaluate experimentation frameworks. Apply statistical analysis to pricing, rewards, and revenue optimisation initiatives. Own and evolve A/B testing frameworks across product, marketing, and monetisation, using both Bayesian and frequentist methodologies. Define hypotheses, success metrics, and post-experiment recommendations alongside cross-functional teams. Translate recurring analytical processes into scalable agentic analytics workflows. Collaborate with Analytics Engineering to develop robust data models and metric definitions. Create clear visualisations and communicate complex findings to both technical and non-technical stakeholders. Mentor junior data scientists and contribute to the growth of the wider analytics function. Job requirements: Bachelor's or Master's degree in Statistics, Economics, Data Science, Mathematics, or another quantitative discipline. 5+ years' experience in a Data Scientist role. Strong knowledge of statistical analysis, experimental design, hypothesis testing, and causal inference. Hands-on experience with both frequentist and Bayesian approaches to experimentation (including tools such as PyMC). Proven experience delivering lifecycle marketing analytics and optimisation. Advanced SQL skills with experience querying large-scale data warehouses (Snowflake, BigQuery, Redshift, or similar). Strong Python or R programming skills, including experience with data science and machine learning libraries (e.g. pandas, scikit-learn, tidyverse). Experience creating impactful data visualisations and presenting insights to business stakeholders. Excellent communication skills with the ability to translate complex analysis into commercial recommendations. Familiarity with agentic analytics workflows and AI-assisted analytical processes. Strong attention to data quality, governance, and metric accuracy. Nice to have: Experience working with loyalty or rewards programmes, performance marketing, or market research. Experience with deep learning techniques. Experience building dashboards in modern BI platforms. Experience developing agentic analytics workflows. Experience building internal data applications using tools such as Streamlit or Shiny.   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: Senior Machine Learning Engineer Job type: Permanent Salary: €60,000 – €65,000 base salary Role Location: Hybrid – Athens, Greece (2 days per week in the office) The company: Our client is an established consumer technology business with a subscription and rewards-driven platform used by a large, active customer base.  As the company continues to invest heavily in artificial intelligence, they're looking for a Senior Machine Learning Engineer to lead the development of production-grade AI solutions, helping shape the next generation of intelligent products and internal AI capabilities. Role and responsibilities: Design, develop, and deploy advanced AI and machine learning solutions that support strategic business objectives. Lead the research, development, and optimisation of machine learning models for production environments. Build, fine-tune, and evaluate Large Language Models (LLMs) and modern AI applications using tools such as LangChain and Hugging Face. Develop solutions using Python alongside deep learning, machine learning, and natural language processing frameworks. Collaborate with software engineering, data, and product teams to identify opportunities for AI-driven innovation. Research and evaluate emerging AI technologies, ensuring the business remains at the forefront of industry developments. Monitor, maintain, and optimise model performance to ensure reliability and scalability in production. Translate business challenges into practical AI solutions, balancing speed of delivery with technical excellence. Mentor junior engineers and provide technical leadership across AI and machine learning initiatives. Champion best practices for model development, experimentation, deployment, and ongoing optimisation. Job requirements: Proven experience designing, building, and deploying production-grade machine learning solutions. Strong Python development skills. Hands-on experience with Large Language Models (LLMs), LangChain, and Hugging Face Transformers. Experience with deep learning frameworks such as PyTorch. Strong knowledge of machine learning libraries including Scikit-learn and XGBoost. Experience working with NLP frameworks such as spaCy and NLTK. Strong understanding of the end-to-end machine learning lifecycle, including model training, validation, deployment, and monitoring. Experience collaborating across engineering, product, and business teams to deliver AI-driven solutions. Passion for staying current with emerging AI technologies and applying them to real-world business challenges. Strong communication skills with the ability to explain complex technical concepts to a range of stakeholders. Experience mentoring junior engineers or leading technical initiatives. A pragmatic mindset, balancing high-quality engineering with delivering business value quickly.   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 Software Engineer (Frontend Focused) Full-Time, Permanent Remote: Candidates Must be Based in Either Seattle, Denver or San Francisco $150,000–$200,000 base salary + equity About the Client: An early-stage US supply chain technology company building software for small to mid-size manufacturers and industrial distributors. They have established enterprise customers, confirmed product-market fit, and are now focused on accelerating their product roadmap. The engineering team is small by design — every person carries real product impact, and that's intentional. Overview: The team is expanding their core platform, which coordinates inventory, purchasing, and shop-floor material flow for industrial customers. This hire will own the development of business-driven product features end to end — partnering with the CTO and product stakeholders on defining what gets built, not just how. The role sits at the intersection of frontend architecture, API design, and close collaboration with an in-house UX designer and wider business teams including customer success and sales. Responsibilities:  Own full-stack feature delivery across a React/TypeScript frontend  Partner with the CTO and product stakeholders to define scope and requirements — this is a product ownership role, not a ticket-execution role Collaborate closely with an in-house UX designer to implement user workflows cleanly and without unnecessary complexity Design and review REST API contracts across internal and public-facing surfaces Contribute to architecture and technology decisions alongside the CTO and a Principal Engineer Work with agentic AI tooling as a genuine productivity multiplier in your day-to-day engineering Required Skills and Experience 6+ years building production web applications with React and TypeScript Strong Next.js experience including server-side rendering Solid REST API design thinking — resource modelling, error handling, pagination, versioning Distributed systems and microservices experience — conceptual depth matters more than a specific language SQL and relational database experience with genuine attention to domain modelling and schema design Testing across unit, integration, and E2E levels Product ownership mentality — you will be shaping scope and trade-offs, not executing pre-defined specs US work authorised — no visa sponsorship available Candidates must be located in either Seattle, Denver of SF.  Nice to Have Kotlin or JVM (Java, Scala) backend experience Background in supply chain, manufacturing, logistics, or industrial operations Experience working directly with a CTO or founders at an early-stage company Active use of agentic AI tooling (Cursor, Claude Code, Copilot) in your day-to-day workflow  Interview Process: Initial conversation with the CTO or a member of the engineering team Paid take-home project (10–20 hours)  Final multidisciplinary interview with the wider team

Job Title: DevOps / SRE Engineer Job Type: Contract Contract Length: 12-months Rate: $20 - $30 per hour Role Location: Remote - LATAM The Company: Our client is a fast-growing technology business building world-class checkout infrastructure for online retailers. Their mission is to eliminate the operational overhead and technical debt associated with payments and checkout at scale, enabling retailers to deliver seamless, secure buying experiences to millions of consumers. Role and Responsibilities: Help lead out major infrastructure, DevOps, reliability, and security initiatives end to end Own and evolve CI/CD pipelines, primarily using GitHub Actions, to enable fast, safe, and repeatable software delivery Design, build, and maintain cloud infrastructure on AWS using Terraform for all infrastructure as code Manage containerized workloads using Docker and Kubernetes, ensuring scalability and resilience Build and maintain observability across the stack using Datadog for monitoring, alerting, and incident response Troubleshoot issues across the entire stack, from network and OS level through to application layer Oversee PCI compliance and coordinate audit activities, applying DevSecOps practices throughout the SDLC Enforce security best practices across DNS, firewalls, IAM, and cloud networking Build tooling for automation, deployment, monitoring, and operations Set strategic direction for infrastructure and contribute to key architectural decisions Job Requirements: GitHub Actions: strong, hands-on experience building and maintaining complex pipelines (most critical requirement) AWS: solid production experience operating infrastructure at scale Terraform: required for all infrastructure provisioning and lifecycle management Docker and Kubernetes for containerization and orchestration Datadog for monitoring, observability, alerting, and dashboards Go or Python for scripting, automation, and tooling Solid DevSecOps knowledge with the ability to embed security across the SDLC Working knowledge of PCI-DSS and experience supporting compliance audits Hands-on experience with DNS, firewalls, IAM, and cloud networking concepts 3 or more years of relevant experience in DevOps, SRE, or infrastructure engineering Jenkins experience is a bonus, though GitHub Actions takes priority GCP awareness beneficial given a potential future migration 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: Senior DevOps / SRE Engineer Job Type: Contract Contract Length: 12-months Rate: $25 - $35 per hour Role Location: Remote - LATAM The Company: Our client is a fast-growing technology business building world-class checkout infrastructure for online retailers. Their mission is to eliminate the operational overhead and technical debt associated with payments and checkout at scale, enabling retailers to deliver seamless, secure buying experiences to millions of consumers. Role and Responsibilities: Lead major infrastructure, DevOps, reliability, and security initiatives end to end Own and evolve CI/CD pipelines, primarily using GitHub Actions, to enable fast, safe, and repeatable software delivery Design, build, and maintain cloud infrastructure on AWS using Terraform for all infrastructure as code Manage containerized workloads using Docker and Kubernetes, ensuring scalability and resilience Build and maintain observability across the stack using Datadog for monitoring, alerting, and incident response Troubleshoot issues across the entire stack, from network and OS level through to application layer Oversee PCI compliance and coordinate audit activities, applying DevSecOps practices throughout the SDLC Enforce security best practices across DNS, firewalls, IAM, and cloud networking Build tooling for automation, deployment, monitoring, and operations Set strategic direction for infrastructure and contribute to key architectural decisions Job Requirements: GitHub Actions: strong, hands-on experience building and maintaining complex pipelines (most critical requirement) AWS: solid production experience operating infrastructure at scale Terraform: required for all infrastructure provisioning and lifecycle management Docker and Kubernetes for containerisation and orchestration Datadog for monitoring, observability, alerting, and dashboards Go or Python for scripting, automation, and tooling Solid DevSecOps knowledge with the ability to embed security across the SDLC Working knowledge of PCI-DSS and experience supporting compliance audits Hands-on experience with DNS, firewalls, IAM, and cloud networking concepts 4 or more years of relevant experience in DevOps, SRE, or infrastructure engineering Jenkins experience is a bonus, though GitHub Actions takes priority 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: Senior Full Stack Engineer Job Type: Contract Contract Length: Initial 12 months Rate: €350 - €380 per day Role Location: Remote (Europe) The Company: A leading European technology company is seeking an experienced Senior Full Stack Engineer to support the development of a scalable digital platform used by businesses across multiple markets. The organisation operates internationally and is focused on delivering high-quality, customer-centric solutions. Role and Responsibilities: Design, build, and maintain full stack applications using TypeScript, Node.js, and modern frontend frameworks (Vue.js preferred). Develop and scale microservices with a focus on performance, reliability, and maintainability. Build responsive, user-friendly web applications and optimise frontend performance. Implement Infrastructure as Code (Terraform or Pulumi) and support cloud-native deployments. Manage and improve cloud infrastructure, primarily within GCP and Kubernetes environments. Create and maintain CI/CD pipelines using modern DevOps tooling. Monitor application health, troubleshoot issues, and improve system observability. Collaborate closely with product, design, and engineering teams to deliver high-quality solutions. Mentor engineers and contribute to technical best practices. Job Requirements: 6+ years of full stack software engineering experience. Strong expertise in TypeScript and Node.js. Commercial experience with Vue.js or similar frameworks such as React or Angular. Experience building microservices and working with SQL and NoSQL databases. Strong knowledge of cloud technologies, particularly GCP, Kubernetes, and containerised applications. Experience with Infrastructure as Code tools such as Terraform or Pulumi. Familiarity with CI/CD tools including GitHub Actions, CircleCI, or ArgoCD. Experience with testing frameworks such as Jest or Cypress. Strong communication and stakeholder management skills. Previous experience within fintech, payments, or highly regulated environments is advantageous. Accessibility Statement: We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments throughout the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Our mission is to empower every person, regardless of their background or circumstances, with an equitable opportunity to achieve the career they deserve. We are committed to building diverse and inclusive teams and welcome applications from all qualified candidates.