Senior Software Engineer

Intec Select Limited
Maidstone, United Kingdom
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 69K

Job location

Maidstone, United Kingdom

Tech stack

Java
API
Amazon Web Services (AWS)
Apache HTTP Server
Computing Platforms
Architectural Patterns
Automation of Tests
Azure
C Sharp (Programming Language)
Cloud Computing
Continuous Integration
Data as a Services
Data Governance
Data Security
DevOps
Distributed Computing Environment
Distributed Data Store
Distributed Systems
Python
Open Source Technology
Cloud Services
Scala
Software Engineering
Data Streaming
Data Processing
Spring Cloud
Spark
Session Description Protocol Security Descriptions (SDES)
Backend
Event Driven Architecture
Build Management
Core Data
Kubernetes
Infrastructure Automation Frameworks
Apache Flink
Kafka
Spark Streaming
Data Management
Presto
Video Streaming
Data Pipelines
Docker
Go
Programming Languages

Job description

  • Lead the design and development of scalable, cloud-native data services supporting a federated platform.
  • Define architectural patterns, engineering standards, and best practices that will scale across the wider organisation.
  • Design and build distributed server-side services using modern software engineering practices.
  • Architect and develop federated data services capable of securely querying and processing data across multiple environments.
  • Design high-performance data processing and streaming workflows using technologies such as Apache Spark, Apache DataFusion, or similar distributed query frameworks.
  • Design and implement Kubernetes-based services and containerised workloads.
  • Build secure APIs and backend services supporting authentication, authorisation, governance, and audit requirements.
  • Contribute to the design of distributed systems, data pipelines, and platform architecture.
  • Establish CI/CD pipelines, Infrastructure as Code, automated testing, and deployment practices.
  • Evaluate and integrate open-source technologies and distributed data frameworks.
  • Mentor engineers and promote engineering excellence across the team.
  • Work closely with architecture, product, security, and external stakeholders.

Technologies:

  • AWS
  • Architect
  • Azure
  • Backend
  • C#
  • CI/CD
  • Cloud
  • Docker
  • Flink
  • GCP
  • Support
  • Java
  • Kafka
  • Kubernetes
  • Python
  • Scala
  • Security
  • Spark
  • DevOps, We are looking for an experienced Lead Backend Software Engineer to join a high-profile programme building secure, cloud-native data services that will support data-driven research and innovation at national scale. This is a founding engineering role where we will shape the architecture, engineering standards, and core data services from the ground up. You will work closely with the Engineering Manager and a small team of senior engineers to establish the technical foundations for a complex federated data platform operating within a highly regulated environment. The role is based in London with two days per week onsite. It is an initial 6-month contract with likely extension, offering a day rate of £700 to £800 outside IR35.

Requirements

  • Experience as a Lead Engineer, Principal Engineer, Staff Engineer, Software Architect, or in a similar senior technical role.
  • Strong server-side software engineering experience, with flexibility across programming languages such as Python, Java, Go, Scala, C#, or similar.
  • Experience designing and building distributed data services or large-scale backend platforms.
  • Experience with Apache Spark, Apache DataFusion, Trino, Presto, or similar distributed data processing technologies.
  • Strong architecture and design experience across distributed systems and data services.
  • Experience designing scalable data processing or data streaming workflows.
  • Experience building cloud-native applications on AWS, Azure, or GCP.
  • Experience with Kubernetes, Docker, and containerised environments.
  • Experience building and operating CI/CD pipelines and Infrastructure as Code.
  • Strong understanding of distributed systems, scalability, resilience, and secure-by-design principles.
  • Comfortable making architectural decisions within evolving, fast-paced environments.
  • Excellent communication skills with the ability to work across technical and non-technical teams.
  • Experience building federated data services or federated data platforms.
  • Experience within healthcare, life sciences, research, government, or other highly regulated environments.
  • Knowledge of Trusted Research Environments (TREs), Secure Data Environments (SDEs), or similar secure data platforms.
  • Experience with data governance, metadata services, data catalogues, or secure data access models.
  • Exposure to event-driven architectures and streaming technologies such as Kafka, Flink, or Spark Streaming.
  • Experience evaluating or contributing to open-source technologies.

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