Envitia

Backend Engineer

• Design, develop and maintain secure Java-based backend services supporting mission-critical and operational systems.
• Build scalable microservices architectures and robust RESTful APIs to support data-driven and intelligence platforms.
• Engineer high-performance, distributed applications capable of processing large volumes of data with low latency and high reliability.
• Integrate Java applications with data platforms, streaming services and analytics pipelines, including AI/ML-enabled systems.
• Apply secure coding practices and ensure solutions meet stringent performance, reliability and security requirements.
• Contribute to architectural design, code reviews, automated testing and continuous improvement activities.
• Implement logging, monitoring and observability to support the operation of production systems.
• Collaborate closely with multi-disciplinary teams including engineers, data specialists and operational stakeholders.

Java Developer – Security, Intelligence

Security Engineer

• Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data.
• Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings.
• Engineer high‑performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems.
• Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use.
• Build scalable, distributed data processing solutions using modern big data and parallel processing technologies.
• Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms.
• Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes.
• Optimise data storage and processing architectures to support high‑performance analytical environments.
• Contribute to DevSecOps and cloud‑native delivery, including automated deployment, infrastructure provisioning and containerised environments.
• Support the ongoing operation, observability and resilience of production data platforms.

Data Engineer – Security & Intelligence

• Design, develop and deploy AI and machine learning solutions to analyse complex structured and unstructured data.
• Build and maintain scalable data and AI/ML pipelines to support advanced analytics and automated insight generation.
• Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time‑series analysis.
• Prepare, transform and integrate large, multi‑source datasets (e.g. sensor, geospatial and communications data) for analytics and model development.
• Develop predictive models, prototypes and proof‑of‑concept solutions to identify patterns, trends and anomalies.
• Implement, train, tune and validate models within secure, production-grade environments.
• Collaborate closely with data engineers, software engineers and platform teams to deploy solutions into operational systems.
• Develop dashboards, visualisations and analytical tools to communicate insights to technical and non‑technical stakeholders.
• Provide technical leadership and contribute to AI/ML strategy, best practice and capability roadmaps.

Java Developer – Security, Intelligence

Data Engineer – Security & Intelligence

Data Scientist – Security & Intelligence