Software Development Lead at Adler & Allan

Nelson, Wales, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

IoT Systems, Cloud-Native Development, AWS, Data Ingestion Pipelines, API Development, AWS IoT Core, MQTT, Device Shadow, Telemetry, Kinesis, Lambda, SQS, Kafka, RESTful APIs, GraphQL APIs, CloudFormation/CDK

Industry

Environmental Services

Description

Company Description Detectronic, based in Nelson, Lancashire, is a UK specialist in wastewater and sewer network monitoring systems. The company designs, manufactures, and installs flow, level, and water‑quality monitoring equipment used by water utilities and industrial customers to prevent flooding, reduce pollution, and improve environmental compliance Job Description Software Development Lead Hybrid with Travel to Nelson Permanent, full-time Competitive salary, Bonus plus benefits We are seeking an experienced Software Development Lead with deep expertise in IoT systems, cloud‑native development on AWS, data ingestion pipelines, and API development. You will design and build the backend services that support our connected IoT devices—managing secure device communication, high‑volume data ingress, and the APIs that power our applications and customer experiences. This role is ideal for an engineer passionate about building scalable systems that bridge the physical and digital worlds. More about the role: IoT Platform Engineering Design, develop, and maintain backend services that support large fleets of IoT devices. Work extensively with AWS IoT Core, MQTT messaging, Device Shadow, and secure device provisioning. Build and optimise IoT communication flows including telemetry, event handling, command/control, and device state management. Data Ingress & Telemetry Pipelines Architect and operate real-time IoT data ingestion pipelines handling telemetry, logs, and events from thousands of devices. Implement processing workflows using Kinesis, Lambda, SQS, Kafka, Step Functions, or similar. Ensure data quality, schema governance, and reliability across ingestion and downstream data consumers. API Development Build and maintain RESTful and GraphQL APIs supporting device management, device data retrieval, and user-facing features. Ensure APIs are secure, highly available, and performant at scale. Define API standards and patterns for internal and external consumers. Cloud & Infrastructure Design cloud-native systems using AWS services such as API Gateway, DynamoDB, Timestream, S3, ECS/EKS, and CloudFormation/CDK. Implement observability across all IoT workloads using CloudWatch, OpenTelemetry, or related tools. Drive cost optimisation and reliability across IoT cloud infrastructure. Security & Device Trust Implement strong IoT security practices including certificate-based auth, encryption, least‑privilege IAM, and secure onboarding flows. Support secure OTA updates, fleet management, and device lifecycle operations. Leadership & Collaboration Lead architecture discussions and mentor mid-level and junior engineers. Participate in design reviews, code reviews, and cross-functional roadmap planning. Collaborate closely with product, firmware/embedded teams, and data engineering. Qualifications Required Skills & Experience Backend or platform engineering experience, ideally with IoT or distributed systems. Strong expertise in AWS, especially AWS IoT Core, Lambda, DynamoDB, Kinesis, SQS, API Gateway. Proficiency in languages such as Python, Node.js, Go, or Java. Hands-on experience with MQTT and event-driven IoT architectures. Proven ability to build and scale data ingestion pipelines. Experience building secure, high-performance APIs for internal and external use. Solid understanding of distributed systems, cloud design patterns, and microservices. Nice to Have Experience with edge/embedded integrations (e.g., AWS Greengrass). Familiarity with time-series databases (Timestream, InfluxDB, Timescale). Knowledge of digital twins, device simulation, or industrial IoT protocols. Containerization experience with Docker, ECS, or Kubernetes/EKS. Exposure to OTA update workflows, remote diagnostics, or fleet management tools. Additional Information What we can offer you: Enhanced maternity, paternity and adoption pay and leave Company pension Life assurance scheme (x4 salary) Medicare Cash Plan (includes cash payments towards dental, medical, therapeutic treatments) with the option to add up to 4 dependants Refer a friend scheme Employee assistance programme (access to GP appointments and mental health support) Competitive annual leave plus bank holidays Training and career progression opportunities Adler and Allan are committed to fostering diversity and inclusion in our workplace. We proudly embrace equal opportunities for all applicants, regardless of race, colour, religion, sex, sexual orientation, gender identity or national origin. If you require any support with your application, whatever the circumstance, please let us know.

Responsibilities

The lead will design, develop, and maintain backend services supporting large fleets of connected IoT devices, focusing on secure communication, high-volume data ingress, and managing device state via AWS IoT Core and MQTT. They will also architect and operate real-time data ingestion pipelines and build secure, high-performance RESTful and GraphQL APIs for device data and user features.