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As a Senior C Developer at Endava, you will be a hands-on engineer on a large-scale datacenter migration, moving a long-lived payments platform from UNIX/AIX to Linux (RedHat) with applications refactored for the cloud (AWS). You will own the analysis, refactoring, and consolidation of C applications, relying on strong systems fundamentals to reason about behaviour and deliver with autonomy. Beyond the migration, you will have the opportunity to grow into long-term BAU, project, and client-integration work on the same platform. Responsibilities: - Designs, estimates, and implements technical solutions for medium/high complexity applications. - Participates actively in all phases of application development lifecycle. - Collaborates with various project stakeholders to provide support for clarifying requirements, processes, architecture, and priorities. - Recommends and promotes IT industry standards, tools, practices (DevOps, etc.) to achieve well-engineered software products. - Proposes improvements and escalates risks/issues related to development activities. - Participates in the review of the work done by development team members. - Learns and applies new technologies, practices, and tools as appropriate to the project. - Shares experience and knowledge gained from projects. - Has responsibility for the work of others and for allocating resources. - Influences the team, customers, and suppliers. - Makes decisions which influence the success of projects and team objectives. - Can propose and design solutions autonomously. - Can articulate solutions to technical and non-technical stakeholders. Required: - 5+ years of hands-on software development experience, with strong, demonstrable expertise in plain C . - Strong UNIX experience across AIX and Linux (RedHat) , with proven ability to port and refactor applications from AIX to Linux RedHat. - Shell scripting (Korn/ksh, Bash) for build, run, and deployment tasks across UNIX environments. - Solid command of the C build and debug toolchain — Make/Makefiles, gcc, gdb, and core-dump analysis. - Experience refactoring and consolidating applications, including redesign work as part of a migration. - A self-directed developer mindset, comfortable delivering with autonomy and taking ownership end to end. - Good communication skills, able to articulate solutions to technical and non-technical stakeholders. Nice to have: - SQL and relational databases (DB2, Oracle) , including embedded SQL (Pro*C / ESQL/C) as used in C applications. - Sockets, TCP/IP, and inter-process communication (IPC) for application integrations and messaging. - Cross-platform porting awareness — endianness, data-type sizes, and compiler differences between AIX (POWER) and Linux (x86). - Payments / financial transaction processing domain knowledge (e.g. ISO 8583, card and transaction switching, PCI DSS). - Git/GitHub — the project is migrating source control from SCCS to GitHub. - Exposure to Harness or a comparable enterprise CI/CD tool (similar in role to Jenkins). - Familiarity with AWS , as the migrated applications will run in the cloud (databases hosted in a payments datacenter). - Exposure to Linux administration, Docker/containerisation, or Terraform/IaC on the cloud target. - Experience integrating with external clients and third-party systems. Discover some of the global benefits that empower our people to become the best version of themselves: Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; Health: Global internal wellbeing programme, access to wellbeing apps; Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Nuestro equipo de Datos cuenta con experiencia en ingeniería, análisis, arquitectura, modelado, machine learning, inteligencia artificial y ciencia de datos. Esta disciplina es responsable de transformar datos sin procesar en información accionable, construir infraestructuras de datos robustas y facilitar la toma de decisiones basada en datos, así como impulsar la innovación mediante analítica avanzada y modelos predictivos. Como Data Engineer en Endava yo voy a: Responsabilidades: Trabajar en conjunto con científicos y analistas de datos para comprender las necesidades de información y crear flujos de datos eficientes. Diseñar soluciones, implementar y mantener pipelines de datos para la ingesta, procesamiento y transformación de información utilizando servicios cloud y otras tecnologías. Crear y mantener soluciones de almacenamiento de datos, incluyendo Azure SQL Database, Azure Data Lake y Azure Blob Storage. Crear y mantener procesos ETL (Extract, Transform, Load) utilizando Azure Data Factory o tecnologías equivalentes. Implementar procedimientos de validación y limpieza de datos para garantizar su calidad, integridad y confiabilidad. Mejorar la escalabilidad, eficiencia y optimización de costos de los pipelines de datos. Monitorear y resolver problemas relacionados con los pipelines, garantizando la consistencia y disponibilidad de los datos. Automatizar tareas y desplegar código con estándares de producción, incluyendo pruebas unitarias, integración continua, control de versiones y otras buenas prácticas. Dominio de Python y SQL, con experiencia en lenguajes de scripting orientados al procesamiento de datos. Experiencia con bases de datos relacionales y NoSQL. Conocimiento de buenas prácticas y principios de diseño de datos, incluyendo conceptos como Medallion, Kimball y Star Schema, así como de Data Warehousing y modelado de datos. Sólida comprensión de procesos ETL/ELT. Experiencia con técnicas avanzadas de transformación y optimización de datos, incluyendo Spark (PySpark/Scala). Experiencia con servicios de Azure, AWS o GCP Dominio de herramientas como Data Build Tool (dbt) y Datadog. Experiencia con herramientas de monitoreo y observabilidad de datos. Experiencia relevante con arquitecturas orientadas a eventos (Event-Driven Architecture). Buen conocimiento y comprensión de metodologías y formas de trabajo Agile. Descubrí algunos de los beneficios globales que ofrecemos para que nuestra gente pueda desarrollar su máximo potencial: Finanzas: Paquete salarial competitivo, reconocimientos basados en nuestros valores y bono por referidos. Desarrollo profesional: Coaching de carrera, oportunidades profesionales a nivel global, trayectorias de carrera no lineales y programas internos de desarrollo para liderazgo técnico y de gestión. Oportunidades de aprendizaje: Proyectos complejos, rotaciones, comunidades tecnológicas internas, capacitaciones, certificaciones, coaching, suscripciones a plataformas de aprendizaje online, sesiones de intercambio de conocimientos, workshops y conferencias. Equilibrio entre vida personal y laboral: Modalidad de trabajo híbrida, horarios flexibles y programa de asistencia al empleado. Salud y bienestar: Programa interno global de bienestar y acceso a aplicaciones de bienestar. Comunidad: Comunidades tecnológicas internas a nivel global, clubes de hobbies y grupos de interés, programas de inclusión y diversidad, eventos y celebraciones. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Nuestro equipo de Datos cuenta con experiencia en ingeniería, análisis, arquitectura, modelado, machine learning, inteligencia artificial y ciencia de datos. Esta disciplina es responsable de transformar datos sin procesar en información accionable, construir infraestructuras de datos robustas y facilitar la toma de decisiones basada en datos, así como impulsar la innovación mediante analítica avanzada y modelos predictivos. Como Data Engineer en Endava yo voy a: Responsabilidades: Trabajar en conjunto con científicos y analistas de datos para comprender las necesidades de información y crear flujos de datos eficientes. Diseñar soluciones, implementar y mantener pipelines de datos para la ingesta, procesamiento y transformación de información utilizando servicios cloud y otras tecnologías. Crear y mantener soluciones de almacenamiento de datos, incluyendo Azure SQL Database, Azure Data Lake y Azure Blob Storage. Crear y mantener procesos ETL (Extract, Transform, Load) utilizando Azure Data Factory o tecnologías equivalentes. Implementar procedimientos de validación y limpieza de datos para garantizar su calidad, integridad y confiabilidad. Mejorar la escalabilidad, eficiencia y optimización de costos de los pipelines de datos. Monitorear y resolver problemas relacionados con los pipelines, garantizando la consistencia y disponibilidad de los datos. Automatizar tareas y desplegar código con estándares de producción, incluyendo pruebas unitarias, integración continua, control de versiones y otras buenas prácticas. Dominio de Python y SQL, con experiencia en lenguajes de scripting orientados al procesamiento de datos. Experiencia con bases de datos relacionales y NoSQL. Conocimiento de buenas prácticas y principios de diseño de datos, incluyendo conceptos como Medallion, Kimball y Star Schema, así como de Data Warehousing y modelado de datos. Sólida comprensión de procesos ETL/ELT. Experiencia con técnicas avanzadas de transformación y optimización de datos, incluyendo Spark (PySpark/Scala). Experiencia con servicios de Azure, AWS o GCP Dominio de herramientas como Data Build Tool (dbt) y Datadog. Experiencia con herramientas de monitoreo y observabilidad de datos. Experiencia relevante con arquitecturas orientadas a eventos (Event-Driven Architecture). Buen conocimiento y comprensión de metodologías y formas de trabajo Agile. Descubrí algunos de los beneficios globales que ofrecemos para que nuestra gente pueda desarrollar su máximo potencial: Finanzas: Paquete salarial competitivo, reconocimientos basados en nuestros valores y bono por referidos. Desarrollo profesional: Coaching de carrera, oportunidades profesionales a nivel global, trayectorias de carrera no lineales y programas internos de desarrollo para liderazgo técnico y de gestión. Oportunidades de aprendizaje: Proyectos complejos, rotaciones, comunidades tecnológicas internas, capacitaciones, certificaciones, coaching, suscripciones a plataformas de aprendizaje online, sesiones de intercambio de conocimientos, workshops y conferencias. Equilibrio entre vida personal y laboral: Modalidad de trabajo híbrida, horarios flexibles y programa de asistencia al empleado. Salud y bienestar: Programa interno global de bienestar y acceso a aplicaciones de bienestar. Comunidad: Comunidades tecnológicas internas a nivel global, clubes de hobbies y grupos de interés, programas de inclusión y diversidad, eventos y celebraciones. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Nuestro equipo de Datos cuenta con experiencia en ingeniería, análisis, arquitectura, modelado, machine learning, inteligencia artificial y ciencia de datos. Esta disciplina es responsable de transformar datos sin procesar en información accionable, construir infraestructuras de datos robustas y facilitar la toma de decisiones basada en datos, así como impulsar la innovación mediante analítica avanzada y modelos predictivos. Como Data Engineer en Endava yo voy a: Responsabilidades: Trabajar en conjunto con científicos y analistas de datos para comprender las necesidades de información y crear flujos de datos eficientes. Diseñar soluciones, implementar y mantener pipelines de datos para la ingesta, procesamiento y transformación de información utilizando servicios cloud y otras tecnologías. Crear y mantener soluciones de almacenamiento de datos, incluyendo Azure SQL Database, Azure Data Lake y Azure Blob Storage. Crear y mantener procesos ETL (Extract, Transform, Load) utilizando Azure Data Factory o tecnologías equivalentes. Implementar procedimientos de validación y limpieza de datos para garantizar su calidad, integridad y confiabilidad. Mejorar la escalabilidad, eficiencia y optimización de costos de los pipelines de datos. Monitorear y resolver problemas relacionados con los pipelines, garantizando la consistencia y disponibilidad de los datos. Automatizar tareas y desplegar código con estándares de producción, incluyendo pruebas unitarias, integración continua, control de versiones y otras buenas prácticas. Dominio de Python y SQL, con experiencia en lenguajes de scripting orientados al procesamiento de datos. Experiencia con bases de datos relacionales y NoSQL. Conocimiento de buenas prácticas y principios de diseño de datos, incluyendo conceptos como Medallion, Kimball y Star Schema, así como de Data Warehousing y modelado de datos. Sólida comprensión de procesos ETL/ELT. Experiencia con técnicas avanzadas de transformación y optimización de datos, incluyendo Spark (PySpark/Scala). Experiencia con servicios de Azure, AWS o GCP Dominio de herramientas como Data Build Tool (dbt) y Datadog. Experiencia con herramientas de monitoreo y observabilidad de datos. Experiencia relevante con arquitecturas orientadas a eventos (Event-Driven Architecture). Buen conocimiento y comprensión de metodologías y formas de trabajo Agile. Descubrí algunos de los beneficios globales que ofrecemos para que nuestra gente pueda desarrollar su máximo potencial: Finanzas: Paquete salarial competitivo, reconocimientos basados en nuestros valores y bono por referidos. Desarrollo profesional: Coaching de carrera, oportunidades profesionales a nivel global, trayectorias de carrera no lineales y programas internos de desarrollo para liderazgo técnico y de gestión. Oportunidades de aprendizaje: Proyectos complejos, rotaciones, comunidades tecnológicas internas, capacitaciones, certificaciones, coaching, suscripciones a plataformas de aprendizaje online, sesiones de intercambio de conocimientos, workshops y conferencias. Equilibrio entre vida personal y laboral: Modalidad de trabajo híbrida, horarios flexibles y programa de asistencia al empleado. Salud y bienestar: Programa interno global de bienestar y acceso a aplicaciones de bienestar. Comunidad: Comunidades tecnológicas internas a nivel global, clubes de hobbies y grupos de interés, programas de inclusión y diversidad, eventos y celebraciones. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Role Summary We are seeking a highly motivated Full Stack Developer with strong foundational skills across modern web application development, APIs, databases, cloud platforms, and AI-assisted software engineering. The ideal candidate is a problem solver who can design, build, and maintain scalable applications while leveraging modern AI tools to improve productivity, code quality, and delivery speed. Key Responsibilities Design, develop, test, and maintain responsive web applications using modern frontend frameworks (angular, react) and backend technologies. Build and integrate RESTful APIs and microservices to support business and customer-facing applications. Develop efficient, secure, and scalable database solutions, including data modeling, query optimization, and performance tuning. Deploy, monitor, and maintain applications in cloud environments, with a preference for AWS services. Collaborate with product managers, architects, and other engineers to translate business requirements into technical solutions. Ensure application security, reliability, scalability, and maintainability through industry best practices. Participate in code reviews, automated testing, CI/CD pipelines, and agile development processes. Leverage AI-powered development tools such as Kiro (preferred), Claude, Cursor, GitHub Copilot, or similar platforms to accelerate development and improve engineering effectiveness. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience. 10+ years of software development experience in full stack application development. Strong understanding of HTML, CSS, JavaScript/TypeScript, and modern web frameworks. Experience developing backend services and APIs using one or more technologies such as Node.js, .NET, Python or Go. Solid understanding of relational and/or NoSQL databases (e.g., PostgreSQL, SQL Server, MySQL, DynamoDB). Experience with AWS services such as EC2, Lambda, ECS, API Gateway, RDS, S3, or similar cloud technologies. Knowledge of software design principles, API security, authentication, and performance optimization. Experience with Git, CI/CD pipelines, automated testing, and DevOps practices. Demonstrated ability to effectively use AI-assisted development tools and techniques as part of the software development lifecycle. Preferred Qualifications Familiarity with event-driven architectures and microservices patterns. Experience leveraging AI to build applications and integrating AI-enabled applications, LLMs, or generative AI solutions. AWS Certification(s) or equivalent cloud certifications. Success in this role requires strong technical fundamentals, a continuous learning mindset, and the ability to leverage modern AI tools to deliver high-quality software efficiently. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Development is the largest discipline at Endava. Our developers design, build, and release software products in multiple programming languages, frameworks, and libraries. Always collaborating with cross-functional project teams, our developers are adaptable problem-solvers with a client-oriented mindset. As a Senior Python Developer at Endava, you will play a crucial role in designing, building, and maintaining robust, scalable Python-based applications and data-driven solutions for Banking and Capital Markets clients. You will work on enterprise-grade platforms exposed to complex financial workflows, including trade capture, trade processing, risk analytics, reporting, data processing, and cross-asset solutions used by Trading, Market Risk, Quants, Finance, and Operations stakeholders. Responsibilities: Design, implement, and maintain complex Python applications and services, ensuring high performance, security, reliability, and scalability. Participate actively in all phases of the application development lifecycle. Collaborate with business analysts, architects, developers, testers, data engineers, and client stakeholders to clarify requirements, processes, architecture, and priorities. Contribute to solutions supporting Banking and Capital Markets domains, including trade lifecycle, risk analytics, reporting, data processing, analytics platforms, and financial services workflows. Work with technical and non-technical stakeholders across Trading, Market Risk, Finance, Operations, Quantitative Analysis, and Technology areas. Develop backend services, APIs, automation components, data processing pipelines, and reporting solutions using Python and related technologies. Recommend and promote IT industry standards, tools, and practices, including clean code, design patterns, DevOps, CI/CD, testing automation, and cloud-ready engineering. Propose improvements and escalate risks or issues related to development activities. Participate in the review of work done by development team members. Learn and apply new technologies, practices, and tools as appropriate to the project. Participate in internal and external tech communities, events, and knowledge-sharing activities. Share experience and knowledge gained from projects, especially around Banking and Capital Markets delivery. 6+ years of experience in Python development. Experience working in Banking, Financial Services, or Capital Markets environments is highly desirable. Good understanding of Capital Markets concepts such as trade capture, trade processing, risk analytics, reporting, asset classes, pricing, or trading workflows. Strong understanding of common programming paradigms, including object-oriented programming, functional programming concepts, and asynchronous programming. Strong familiarity with design and architectural patterns, clean code principles, and enterprise application design. Proficient in Python and related frameworks or libraries such as FastAPI, Flask, Django, Pandas, NumPy, SQLAlchemy, PySpark, or similar. Practical experience with relational and/or NoSQL database systems such as PostgreSQL, Oracle, SQL Server, MongoDB, Cassandra, or similar. Ability to design, build, and analyze complex SQL queries. Experience building REST APIs, backend services, data processing components, automation tools, or reporting solutions. Good understanding of version control systems such as Git or similar. Experience with messaging and event-driven systems such as Kafka, RabbitMQ, Azure Service Bus, AWS SQS/SNS, or similar. Experience with microservices, distributed systems, integration patterns, and data-intensive applications. Experience with CI/CD, deployment tools, and container platforms such as Jenkins, GitLab CI/CD, Azure DevOps, Docker, Kubernetes, OpenShift, or similar. Experience with Agile methodologies such as Scrum or Kanban. Good problem-solving skills and analytical thinking. Excellent communication and teamwork abilities. Ability to collaborate effectively with technical and non-technical stakeholders. Advanced English level is mandatory. Nice to have: Experience in Capital Markets technology consulting or financial services delivery. Exposure to Fixed Income, FX, Equities, Derivatives, Fund Transfer Pricing, Asset Liability Management, or Market Risk platforms. Experience working with Quants, Traders, Risk Managers, or Finance stakeholders, or data analytics teams. Experience with data engineering, analytics, dashboarding, or reporting tools. Experience with cloud platforms such as AWS, Azure, or GCP. Exposure to libraries or tools used in quantitative, risk, or financial analytics. Exposure to Gen-AI tools applied to software engineering, documentation, productivity, data analysis, or reporting automation. Discover some of the global benefits that empower our people to become the best version of themselves: Finance: Competitive salary package, share plan, referral bonus; Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; Health: Global internal wellbeing programme, access to wellbeing apps; Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

As part of Endava's strategic partnership with WTW, who provide data-driven, insight-led solutions in the areas of people, risk and capital, we're building dedicated software engineering teams to support WTW's Insurance Consulting and Technology Division. WTW's Insurance Consulting and Technology business is a global leader in P&C, Life and Health insurance software and advisory services, with over 1,700 colleagues across 35 markets. More than 1,000 insurers worldwide trust our combination of advisory insight and advanced software to help them navigate complexity and drive sustainable growth. Joining Endava, you'll work exclusively with WTW to help embed AI-enabled engineering practices, modern ways of working and deep insurance technology expertise, contributing to the next generation of products and services for insurers worldwide. Working as part of a dedicated team established through a Build-Operate-Transfer (BOT) model, you'll collaborate closely with WTW while building your career as an Endava employee, supporting the long-term success of this strategic partnership. About the Role In this role, you will work within a cross-functional product team responsible for modernising the user experience, backend services and cloud platform capabilities of one of WTW’s strategic cloud platforms. You will contribute to a business-critical distributed compute platform that executes large-scale insurance modelling workloads across the organisation. The platform dynamically provisions Azure compute resources, runs computationally intensive jobs submitted by multiple business applications and provides a shared cloud foundation for analytical services. The role combines frontend and backend development, cloud-native engineering and modern software engineering practices. You’ll help replace legacy technologies, rebuild AngularJS portals, modernise backend services, introduce Infrastructure as Code, migrate workloads to Azure Container Apps and improve deployment automation and operational resilience. Working alongside experienced platform engineers, architects, product owners, DevOps engineers and QA specialists, you’ll help transform the current platform into a modern Azure-native platform while gaining deep knowledge of cloud platform engineering and distributed systems. What Success Looks Like In this role you will: Contribute to meaningful modernisation outcomes across the platform and related services. Deliver high-quality frontend and backend changes that are secure, maintainable and easy to operate. Improve platform reliability, scalability and performance through well-tested engineering changes. Apply agreed engineering standards, coding practices and review feedback consistently. Support faster, more predictable delivery by contributing to automation, CI/CD and DevOps improvements. Collaborate effectively with architects, product owners, QA, DevOps and other engineers to solve delivery challenges. Actively learn, share knowledge and contribute to a positive engineering culture. Key Responsibilities Application Development Develop modern Angular applications replacing legacy AngularJS user and administration portals. Design, develop and maintain .NET backend services supporting distributed compute workloads. Build and enhance REST APIs consumed by multiple business applications. Modernise legacy platform functionality while preserving business continuity. Implement scalable, maintainable and secure software following modern engineering practices. Platform Modernization Participate in migration towards Azure Container Apps and containerised workloads. Support Infrastructure as Code implementation using OpenTofu/Terraform. Contribute to cloud-native platform modernization initiatives. Participate in modernisation of deployment pipelines and release automation. Help improve platform scalability, maintainability and operational resilience. Engineering Excellence Write unit, integration and automated tests ensuring software quality and reliability. Participate in code reviews and technical discussions. Apply Clean Code principles, modern software design patterns and engineering best practices. Support continuous integration and continuous delivery initiatives. Contribute to zero-downtime deployment improvements. Operations & Collaboration Collaborate closely with Product Owners, Architects, QA Engineers, DevOps Engineers and fellow Software Engineers. Participate in production support and on-call rotation as part of the engineering team. Contribute to troubleshooting, root cause analysis and continuous platform improvements. Share knowledge and actively participate in building the engineering capability. Software Engineering 4–6 years of commercial software development experience. Strong experience with C#, modern .NET and ASP.NET. Strong experience with Angular and TypeScript. Experience designing and developing RESTful APIs. Good understanding of object-oriented programming and modern software engineering principles. Cloud & Platform Engineering Experience developing applications on Microsoft Azure. Experience with Azure DevOps, Git and CI/CD pipelines. Experience working with Docker and containerised applications. Understanding of Infrastructure as Code principles, with the ability and willingness to work with tools such as OpenTofu or Terraform. Understanding of cloud-native application development principles. Engineering Practices Experience writing unit and integration tests. Understanding of Clean Code principles and software design patterns. Experience working in Agile Scrum teams. Ability to work within a collaborative cross-functional engineering team. Soft Skills Strong communication and collaboration skills. Proactive approach to problem solving. Willingness to learn modern cloud platform technologies. Passion for continuous improvement and engineering excellence. Preferred Skills and Experience Azure Container Apps Azure Batch OpenTofu or Terraform Playwright SQL Server Redis SignalR Experience working on cloud-native platforms Experience modernising legacy enterprise applications “For this position, the gross base salary starts from PLN 15 267 PLN Gross per month (full-time employment contract), determined using objective and gender-neutral criteria including skillset, experience and role responsibilities. Our benefits offering typically include private medical insurance, dental plan, and glasses reimbursement. The figure represents the initial remuneration we expect to offer for this role and does not limit the right to equal pay for women and men performing the same work or work of equal value. All remuneration and benefits decisions are based on non-discriminatory, gender-neutral criteria, and in accordance with the Polish Labour Code amendments implementing Directive on pay transparency, we do not request or consider candidates’ current or past remuneration during the recruitment process.” At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

As part of Endava's strategic partnership with WTW, who provide data-driven, insight-led solutions in the areas of people, risk and capital, we're building dedicated software engineering teams to support WTW's Insurance Consulting and Technology Division. WTW's Insurance Consulting and Technology business is a global leader in P&C, Life and Health insurance software and advisory services, with over 1,700 colleagues across 35 markets. More than 1,000 insurers worldwide trust our combination of advisory insight and advanced software to help them navigate complexity and drive sustainable growth. Joining Endava, you'll work exclusively with WTW to help embed AI-enabled engineering practices, modern ways of working and deep insurance technology expertise, contributing to the next generation of products and services for insurers worldwide. Working as part of a dedicated team established through a Build-Operate-Transfer (BOT) model, you'll collaborate closely with WTW while building your career as an Endava employee, supporting the long-term success of this strategic partnership. About the Role In this role, you will work within a cross-functional product team responsible for modernising the user experience, backend services and cloud platform capabilities of one of WTW’s strategic cloud platforms. You will contribute to a business-critical distributed compute platform that executes large-scale insurance modelling workloads across the organisation. The platform dynamically provisions Azure compute resources, runs computationally intensive jobs submitted by multiple business applications and provides a shared cloud foundation for analytical services. The role combines frontend and backend development, cloud-native engineering and modern software engineering practices. You’ll help replace legacy technologies, rebuild AngularJS portals, modernise backend services, introduce Infrastructure as Code, migrate workloads to Azure Container Apps and improve deployment automation and operational resilience. Working alongside experienced platform engineers, architects, product owners, DevOps engineers and QA specialists, you’ll help transform the current platform into a modern Azure-native platform while gaining deep knowledge of cloud platform engineering and distributed systems. What Success Looks Like In this role you will: Contribute to meaningful modernisation outcomes across the platform and related services. Deliver high-quality frontend and backend changes that are secure, maintainable and easy to operate. Improve platform reliability, scalability and performance through well-tested engineering changes. Apply agreed engineering standards, coding practices and review feedback consistently. Support faster, more predictable delivery by contributing to automation, CI/CD and DevOps improvements. Collaborate effectively with architects, product owners, QA, DevOps and other engineers to solve delivery challenges. Actively learn, share knowledge and contribute to a positive engineering culture. Key Responsibilities Application Development Develop modern Angular applications replacing legacy AngularJS user and administration portals. Design, develop and maintain .NET backend services supporting distributed compute workloads. Build and enhance REST APIs consumed by multiple business applications. Modernise legacy platform functionality while preserving business continuity. Implement scalable, maintainable and secure software following modern engineering practices. Platform Modernization Participate in migration towards Azure Container Apps and containerised workloads. Support Infrastructure as Code implementation using OpenTofu/Terraform. Contribute to cloud-native platform modernization initiatives. Participate in modernisation of deployment pipelines and release automation. Help improve platform scalability, maintainability and operational resilience. Engineering Excellence Write unit, integration and automated tests ensuring software quality and reliability. Participate in code reviews and technical discussions. Apply Clean Code principles, modern software design patterns and engineering best practices. Support continuous integration and continuous delivery initiatives. Contribute to zero-downtime deployment improvements. Operations & Collaboration Collaborate closely with Product Owners, Architects, QA Engineers, DevOps Engineers and fellow Software Engineers. Participate in production support and on-call rotation as part of the engineering team. Contribute to troubleshooting, root cause analysis and continuous platform improvements. Share knowledge and actively participate in building the engineering capability. Software Engineering 6–9 years of commercial software development experience. Strong experience with C#, modern .NET and ASP.NET. Strong experience with Angular and TypeScript. Experience designing and developing RESTful APIs. Good understanding of object-oriented programming and modern software engineering principles. Cloud & Platform Engineering Experience developing applications on Microsoft Azure. Experience with Azure DevOps, Git and CI/CD pipelines. Experience working with Docker and containerised applications. Understanding of Infrastructure as Code principles, with the ability and willingness to work with tools such as OpenTofu or Terraform. Understanding of cloud-native application development principles. Engineering Practices Experience writing unit and integration tests. Understanding of Clean Code principles and software design patterns. Experience working in Agile Scrum teams. Ability to work within a collaborative cross-functional engineering team. Soft Skills Strong communication and collaboration skills. Proactive approach to problem solving. Willingness to learn modern cloud platform technologies. Passion for continuous improvement and engineering excellence. Preferred Skills and Experience Azure Container Apps Azure Batch OpenTofu or Terraform Playwright SQL Server Redis SignalR Experience working on cloud-native platforms Experience modernising legacy enterprise applications “For this position, the gross base salary starts from PLN 19 267 PLN Gross per month (full-time employment contract), determined using objective and gender-neutral criteria including skillset, experience and role responsibilities. Our benefits offering typically include private medical insurance, dental plan, and glasses reimbursement. The figure represents the initial remuneration we expect to offer for this role and does not limit the right to equal pay for women and men performing the same work or work of equal value. All remuneration and benefits decisions are based on non-discriminatory, gender-neutral criteria, and in accordance with the Polish Labour Code amendments implementing Directive on pay transparency, we do not request or consider candidates’ current or past remuneration during the recruitment process.” At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.