Parser

Backend Engineer

• Design and implement end-to-end systems using your deep JVM and java ecosystem expertise.
• Translate product requirements into well-structured, maintainable code.
• Write test-driven features and follow the TDD and BDD cycle.
• Apply SOLID principles and cohesive design to build scalable software.
• Collaborate with product stakeholders to shape and refine features.
• Support production systems, resolve incidents, and conduct root cause analysis.
• Mentor and support fellow engineers, fostering a culture of continuous learning.
• Share knowledge across the wider engineering community.
• Prototype and evaluate new tools and technologies.

Senior Java Engineer – ESP

Full-stack Engineer

• Act as the authoritative Subject Matter Expert (SME) to help a major fintech architect, bootstrap, and build from scratch an enterprise-grade, multi-tenant AKS platform on a greenfield Azure landing zone.
• Design and provision a greenfield, highly-scalable, multi-tenant AKS platform from the ground up (focusing on underlying cluster architecture, not just workload deployment).
• Serve as the authoritative internal expert for the vast Kubernetes ecosystem.
• Help structure and establish an Internal Developer Platform (IDP), defining how the new platform team will interact with and empower developer teams through self-service capabilities.
• Transition the in-house engineering team into a high-performing internal platform team throughout the platform build process.
• Design and implement enterprise-grade logging, metrics, and tracing for Kubernetes at scale.
• Implement and manage Infrastructure as Code to a senior standard, taking charge of state strategy, module design, and drift management.

Principal Engineer

Business Analyst

• Own and maintain clear, structured documentation across Confluence and related delivery tools.
• Capture business, technical, operational, and stakeholder requirements.
• Document decisions, assumptions, dependencies, risks, and impacts.
• Support analysis of changes across airline integrations, digital platforms, and third-party services.
• Work closely with architects and engineering leads to translate complex solution thinking into clear artefacts.
• Help manage stakeholder communications and ensure impacted teams understand upcoming changes.
• Track dependencies and potential breaking changes across multiple consuming platforms.
• Support workshops, working sessions, and follow-ups with internal teams and external stakeholders.
• Maintain a clear audit trail of what has changed, why decisions were made, and what teams need to do next.
• Help reduce delivery risk by keeping teams aligned and information accessible.

Senior Business Analyst

AI Engineer

• Build, deploy, and operate AI-driven solutions in production.
• Collaborate openly within the team.
• Communicate decisions, assumptions, and trade-offs clearly to the team.
• Experiment, validate quickly, and iterate based on frequent stakeholder and team feedback.
• Optimize for Analytics and Trading adoption, clarity, and trust.
• Make sensible trade-offs to deliver usable value early.
• Adapt as the team and project scale in communication, scope, and technical direction.

• Lead the design and implementation of High-Level (HLD) and Low-Level Designs (LLD)
• Take full accountability for the software lifecycle
• Modernize legacy components into high-throughput distributed systems
• Partner with Data Scientists and Cloud Architects
• Drive engineering excellence through code reviews, design critiques

Senior Backend Engineer, C++

Product Manager

• Own and manage product requirements and test cases for recommendation and relevancy use cases
• Provide clarifications and support to the development team to ensure correct implementation
• Lead go-to-market planning and execution
• Collect, evaluate, and act on feedback from early adopters and stakeholders
• Manage product lifecycle from beta through to general availability
• Collaborate with cross-functional teams and stakeholders primarily located in London

Product Owner

• Help design, build, and maintain the infrastructure that powers ML solutions
• Manage data pipelines, streamline model deployment, and optimize compute resources
• Work on high-impact systems such as ranking, recommendation, and pricing optimization
• Collaborate closely with data scientists to integrate models into production
• Design and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environments
• Build and maintain efficient data pipelines for large-scale processing and feature engineering
• Optimize compute resources and improve model serving performance across ML systems
• Implement robust monitoring, logging, and alerting systems
• Contribute to ML Ops practices including CI/CD pipelines
• Research and integrate new technologies, mentor junior engineers, and communicate technical solutions to diverse stakeholders

Senior Backend Engineer, Python, MLOps

Technical Project Manager

• Lead the delivery of complex technology initiatives from planning through execution, ensuring alignment with client goals and strategic priorities.
• Coordinate cross-functional teams to successfully deliver programs involving system modernization, platform integrations, and process optimization.
• Drive delivery cadence, ensuring progress across multiple initiatives while maintaining alignment with key milestones, dependencies, and KPIs.
• Serve as the primary point of contact for client stakeholders, building trust and credibility at multiple levels.
• Foster team alignment and collaboration between technical, functional, and business stakeholders to ensure project execution and value realization.
• Maintain a clear understanding of enterprise architecture, platforms (AWS cloud, data, integration), automation tools, and delivery pipelines.

• Design and implement cloud-native data platform architectures on AWS, covering ingestion, streaming, storage, processing, and analytics
• Architect and guide event-driven and streaming data solutions using Kafka (Confluent Platform / Confluent Cloud); Apache Flink experience is a plus
• Define and maintain infrastructure-as-code using Terraform, including cloud resources, networking, and platform services
• Contribute directly to platform components, automation, and data pipelines using Python and SQL
• Establish architectural patterns for scalability, resilience, observability, security, and cost optimization
• Hands on experience with AWS Services like Lambda, Fargate, EKS, DynamoDB, and MemoryDB
• Own end-to-end system design for the data platform, from source systems through consumption
• Define target-state architectures, reference designs, and technical standards
• Make informed architectural trade-offs across performance, cost, security, and operational complexity
• Ensure consistent application of architecture principles across teams and initiatives
• Provide architectural direction and technical governance for external vendors and system integrators
• Review vendor-produced designs, implementation plans, and deliverables for quality and alignment
• Ensure vendor solutions adhere to platform standards, security controls, and regulatory requirements
• Act as the technical authority for platform-related decisions across internal and external teams
• Own the data platform as a product, with clear vision, roadmap, and success metrics
• Balance platform reliability, developer experience, and time-to-value for data consumers
• Drive continuous improvement in platform usability, self-service, and operational excellence
• Design platforms that meet the needs of regulated industries such as aviation, finance, or healthcare
• Embed security, data privacy, auditability, and governance into platform architecture
• Collaborate closely with security, compliance, and risk teams to ensure regulatory alignment
• Support audits, reviews, and regulatory assessments as required

Data Platform Architect

• Build and maintain end-to-end data ingestion and ETL pipelines
• Ingest structured and unstructured data from APIs, Snowflake, Oracle, documents, and market data providers
• Develop production-quality Python services and data workflows
• Orchestrate pipelines using Kubernetes and workflow tools
• Apply clean architecture and strong engineering design patterns
• Ensure data quality, reliability, and security
• Design schemas and transformation layers for analytics and AI agents
• Prepare data for AI and RAG systems (chunking, embeddings, retrieval pipelines)

Senior Data Engineer, Python

• Lead the architectural design and implementation of backend systems using .NET (C#) and front end technologies (like Angular).
• Develop and optimize parsing solutions using various approaches, including regex-based methods, structured document ingestion, and Aspose libraries
• Design systems for real-time validation and error handling at scale
• Architect cloud-based solutions leveraging Azure technologies, including Databricks, Data Factory, and SQL Server
• Create and integrate APIs using REST and GraphQL
• Ensure security and compliance in enterprise data systems, with a focus on GDPR
• Develop blueprints for scalable hybrid platforms that combine parsing engines, submission portals, and dashboards
• Contribute to the deployment and integration of Machine Learning models and AI environments

Technical Lead, .NET / Angular

• Manage, host, and serve AI/ML models (MLOps), by ensuring their scalability, reliability, and performance in production environments.
• Integrate models into backend systems and create API endpoints for model interaction (e.g., retrieving predictions).
• Develop and maintain scalable services, e.g. Microservices utilizing REST, gRPC, or GraphQL, ensuring optimal performance and seamless integration.
• Optimize database queries and schemas to improve performance, scalability, and reliability.
• Implement security features, including authentication and authorization using industry-standard practices.
• Collaborate with frontend developers to ensure efficient API integration and a seamless user experience.
• Troubleshoot and resolve production issues, ensuring high availability and minimal downtime.
• Write unit and integration tests to maintain code reliability and ensure high-quality releases.
• Continuously monitor and optimize backend performance using observability tools such as Datadog, Cloud Watch or similar.
• Participate in design discussions and decision-making to enhance system robustness and scalability.
• Maintain technical documentation to ensure clear communication of system capabilities and updates.

Senior Backend Engineer, Data

Senior Java Engineer – ESP/UK

Software Engineer

• Design, develop, and implement solutions using NICE technologies: Studio scripting (IVR flows, routing logic), APIs and integrations (REST/SOAP), Automation and workflow orchestration
• Customize and optimize contact flows (voice, chat, email, digital channels)
• Integrate NICE with CRM systems (e.g., Salesforce, ServiceNow)
• Develop reusable components and frameworks for scalability
• Provide L2/L3 support for NICE platform and integrated systems
• Troubleshoot issues related to: Call routing and IVR failures, API/integration errors, Performance bottlenecks
• Perform root cause analysis (RCA) and implement preventive solutions
• Monitor system health, logs, and KPIs (SLAs, uptime, latency)
• Manage incident lifecycle (triage, resolution, post-mortem)
• Identify automation opportunities in support processes
• Optimize call flows and routing strategies based on analytics
• Improve system reliability and reduce MTTR
• Contribute to DevOps practices (CI/CD, monitoring, alerting)

Senior Nice Developer

Product Designer

• Design and develop UI design systems using tools like Figma, Adobe XD, or equivalent
• Create complex workflows for document submission, dashboards, and validation flows
• Conduct user research using various methods such as interviews, journey mapping, and prototyping
• Translate Chambers' brand guidelines into portal-specific flows
• Design interfaces compatible with Angular + Bootstrap front-ends
• Perform usability testing, rapid prototyping, and design iteration
• Collaborate with cross-functional teams to ensure seamless integration of design and functionality