The engineer will perform end-of-life maintenance on a legacy application by upgrading dependencies, frameworks, and libraries. They will also expand unit test coverage and ensure system stability through thorough testing and collaboration with the client's team.
You will design and develop scalable backend services and REST APIs for a data-intensive cybersecurity platform. Additionally, you will collaborate on system architecture, data modeling, and mentor less experienced team members.
You will analyze, process, and interpret large datasets to generate actionable insights for the business. Additionally, you will be responsible for developing and maintaining ingestion processes and designing data warehouse models.
Design and implement reliable, scalable backend services and data pipelines while modernizing legacy workflows. Collaborate with cross-functional teams to align technical solutions with business needs and contribute to the front-end layer using HTML and HTMX.
Design and implement backend microservices using clean architecture principles and event-driven communication. Collaborate with cross-functional teams to maintain API standards, ensure data integrity, and manage deployment pipelines.
Design and implement reliable, scalable backend services and data pipelines to support core business workflows. Improve system observability, modernize legacy processes, and collaborate with cross-functional teams to align technical solutions with business needs.
Lead and coach Scrum teams to achieve sprint goals while facilitating effective communication and team ceremonies. Drive process improvements across the organization by collaborating with Product Owners, business stakeholders, and cross-functional teams.
The Senior Full-Stack Engineer will be responsible for the architecture, creation, and ongoing enhancements of the client's external web platform. This role involves writing high-quality code, collaborating with cross-functional teams to estimate effort, and driving the delivery of system components.
Manage infrastructure and IT operations projects for enterprise clients, ensuring delivery within scope, budget, and quality standards. Lead project teams, manage stakeholder expectations, and oversee the transition of environments into managed service operations.
The Senior Delivery Manager will orchestrate the delivery of property intelligence software solutions by managing cross-functional teams and project roadmaps. They are responsible for budget management, resource allocation, and ensuring successful project delivery within a complex, regulated environment.
You will work directly with the Head of Analytics to migrate the company's BI platform from Metabase to Omni. This involves ensuring that all dashboards and reporting views are accurately and efficiently transitioned.
You will own the trust layer of an AI agent for industrial plants, focusing on reliability, grounding, and performance. This involves diagnosing agent misbehavior, building evaluation harnesses, and implementing mechanisms to ensure output quality and accuracy.
You will manage complex on-premise Linux infrastructures, focusing on lifecycle management, configuration, and process automation. Additionally, you will contribute to project-driven infrastructure transformations and deliver managed services for global clients.
The ServiceNow Administrator will handle daily incidents, service requests, and platform configuration while ensuring system health through monitoring and troubleshooting. They will also document procedures and collaborate with architects to integrate operational perspectives into platform designs.
The engineer will perform end-of-life maintenance on a legacy application by upgrading dependencies, frameworks, and libraries. They will also expand unit test coverage and ensure system stability through thorough testing.
Design, validate, and productionize probabilistic models to support e-commerce decisioning under uncertainty. Collaborate with backend engineering to integrate these statistical models into a distributed microservices architecture.
The engineer will maintain and modernize a legacy application by upgrading dependencies, frameworks, and libraries. They will also expand unit test coverage and ensure system stability during an extended operational period.
Manage infrastructure and IT operations projects for enterprise clients, overseeing scope, schedule, budget, and quality. Lead project teams, manage stakeholder expectations, and coordinate delivery with client change and release management teams.
You will join an internal team to build and operate private and sovereign cloud platforms for enterprise clients using OpenStack. Responsibilities include installing and configuring components, managing infrastructure nodes, handling service requests, and automating repeatable tasks.
You will design, deploy, and operate private and sovereign cloud platforms for enterprise clients using OpenStack. Additionally, you will act as a third-line escalation point, lead root cause analysis, and provide technical guidance to the engineering team.
Lead and coach Scrum teams to enable self-organization and achievement of sprint goals. Facilitate communication and ceremonies while driving process improvements across the wider organization.
Collaborate on the design and development of responsive healthcare web applications using React and C#. Develop server-side logic, integrate third-party APIs, and ensure the security and privacy of healthcare data.
Design end-to-end scalable AI architectures with a focus on Generative AI and agentic systems. Engage in pre-sales activities by translating business requirements into technical proposals and conducting client workshops.
Design, validate, and productionize probabilistic AI and statistical machine learning models for an e-commerce platform. Collaborate with backend engineering to integrate these models into a distributed microservices architecture.
You will build and operate change-data-capture pipelines from PostgreSQL into Azure using Kafka Connect and Debezium. Additionally, you will manage platform infrastructure as code and ensure data protection requirements are applied to sensitive data streams.
You will be responsible for designing, developing, and deploying backend applications while maintaining private cloud infrastructure for a government institution. Additionally, you will migrate workloads, provide production support, and contribute to technical decision-making and pre-sales activities.
You will design, build, and maintain intelligent automation solutions using Python and Power Automate to streamline business operations. This role involves managing the full lifecycle of automations, including deployment, monitoring, and migrating legacy workflows to more scalable platforms.
The DevOps Engineer will design, build, and maintain CI/CD pipelines and cloud infrastructure for a .NET-based microservices architecture. They will also manage environment configurations, ensure secure deployments, and provide operational support for distributed systems.
Design, validate, and productionize probabilistic models to support decision-making under uncertainty for an e-commerce platform. Collaborate with backend engineering to integrate these statistical models into a distributed microservices architecture.
The Data Business Analyst will bridge business needs with data and analytics teams by capturing and documenting requirements. They will collaborate with stakeholders to define KPIs, data flows, and reporting solutions within an agile environment.
You will own the production reliability of the AI Experience Framework stack, including Kubernetes operations, observability, and hands-on troubleshooting. You will also participate in on-call support, incident response, and the implementation of reliability improvements across distributed applications.
You will design, build, and deploy AI and Generative AI solutions, including LLM-powered applications and intelligent automation systems. Additionally, you will develop RAG pipelines and integrate AI models into cloud-based environments to deliver business value.
Design, develop, and execute comprehensive test plans and automated scripts for web applications. Collaborate with cross-functional teams to identify, document, and resolve bugs while maintaining high software quality standards.
You will bridge business needs with data and analytics teams by capturing and documenting requirements for reporting initiatives. Additionally, you will support the Product Owner in backlog management and collaborate with engineers to define KPIs and data solutions.
The SRE will support the deployment, operation, and maintenance of services running on Kubernetes while ensuring high availability and performance. They will also investigate production incidents, automate operational processes, and collaborate with engineering teams to optimize observability.
Manage the customer onboarding process and ensure accurate system integration while driving process improvements. Execute development tasks using a modern tech stack to meet unique client configurations and customizations.
Design and maintain backend services for an Aggregation Platform to enable seamless integrations between game providers and operators. Build scalable API-first solutions and contribute to CI/CD pipelines and platform architecture.
Design, develop, and maintain robust UI and API automation frameworks while optimizing CI/CD integration. Mentor team members on automation best practices and implement AI-driven testing solutions to ensure high-quality software delivery.
Design, develop, and maintain robust UI and API automation frameworks while optimizing CI/CD integration. Mentor team members on automation best practices and implement AI-driven testing solutions to improve software quality.
Provide day-to-day support, maintenance, and lifecycle management for complex on-premise Linux infrastructures. Focus on system and process automation, configuration management, and observability stack maintenance.
The role involves developing resilient backend code and implementing software design patterns within cross-functional product teams. Responsibilities include troubleshooting performance issues, resolving security vulnerabilities, and communicating directly with clients.
Develop reusable, metadata-driven data pipelines and comprehensive data models using Databricks Lakehouse architecture. Implement robust ETL/ELT solutions and event-driven integrations to evolve the Azure-based Data Analytics Platform.
Design, develop, and maintain backend services for an Aggregation Platform to enable seamless integrations between game providers and operators. Collaborate with cross-functional teams to improve platform architecture, reliability, and scalability using API-first solutions.
Responsible for designing, programming, and implementing back-end applications for a private cloud solution for a Western European government. The role also involves migrating and maintaining the solution and collaborating with architects and designers.
Develop and optimize multi-agent systems and prompt engineering strategies for diverse client projects. Integrate LLMs into cloud-based applications and implement AI-powered automation workflows.
Implement and maintain a cloud-native metadata management platform and data quality environment on AWS. Automate metadata ingestion, data lineage, and quality monitoring while collaborating with governance and engineering teams to drive data standards.
Design, build, and deploy AI and Generative AI solutions, including LLM-powered applications and RAG pipelines. Collaborate with clients to integrate AI models into cloud-based applications and implement agent-based automation workflows.
Develop and extend backend Python APIs for a high-performance infrastructure platform focused on self-service resource provisioning. Collaborate with a mixed engineering team to improve RBAC, multi-tenancy, and integration with infrastructure services.
The role focuses on strengthening core AI systems by diagnosing performance issues and improving platform reliability and observability. You will be responsible for enhancing AI agent behavior and refactoring complex code to ensure system scalability.
