At a Glance
- Tasks: Design and develop cloud-native features for a secure platform used by millions.
- Company: Join Trustonic, a leader in secure services for connected devices.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team culture focused on continuous improvement and engineering excellence.
- Why this job: Make a real impact on global services while working with cutting-edge technology.
- Qualifications: Strong Python and AWS skills, with experience in backend development.
The predicted salary is between 60750 - 74250 £ per year.
A bit about the team and what you'll deliver...
As a Senior Software Engineer - Backend you'll join a collaborative, highly skilled engineering team responsible for developing and operating Trustonic's cloud platform, which underpins secure services used by millions of connected devices worldwide.
Working closely with Product, QA, Dev Ops and fellow engineers, you'll help shape the technical direction of our backend services while contributing to a culture of continuous improvement, knowledge sharing and engineering excellence.
In this role, you'll deliver scalable, secure and resilient cloud-native solutions that enable the rapid development of new platform capabilities.
Your work will directly influence the reliability, performance and scalability of our AWS-based services, helping to ensure our customers receive robust, high-quality solutions that meet the demands of a global, enterprise-scale platform.
Please note, this is a hybrid role with regular attendance required at our office in Winnersh.
As a Senior Software Engineer - Backend, you will
- Design, build, debug, and deliver cloud-native features across the Trustonic platform from early development through production release.
- Develop and enhance AWS-based microservices, with strong focus on AWS Lambda, SQS-driven workflows, API Gateway, and App Sync integrations.
- Build reliable backend services in Python 3 (Fast API/Flask) and support event-driven processing patterns for high-scale device operations.
- Collaborate with QA and product engineering teams to improve release quality, performance, and resilience of ALPS services.
- Lead or participate in architecture discussions, design reviews, and code reviews across multiple backend services.
- Implement and promote SDLC best practices: requirements refinement, test strategy, CI/CD, observability, and production support.
- Diagnose and resolve production defects, performance bottlenecks, and integration issues across distributed systems.
- Support L3 operations, incident response, and post-incident improvements for business-critical AWS workloads.
Who you are...
- Team player
- Energetic and passionate about delivering great software in a rapidly growing environment
- Prepared to invest whatever effort is required to get the job done
- Operate with integrity and transparency and conduct business in a proper manner
- Good creative intelligence
- Tenacious with a problem-solving approach
- Organised, rigorous and autonomous
What makes you, you...
Skills
- Skills Python 3.10+ - strong proficiency including type hints, dataclasses, and async patterns.
- AWS Lambda Powertools (Logger, Tracer, Metrics) for observability.
- Fast API or Flask for containerised microservices.
- Hands-on AWS expertise: Lambda, SQS, SNS, Step Functions, App Sync (Graph QL), API Gateway, Cloud Watch, X-Ray, IAM, S3, and VPC fundamentals.
- Postgre SQL RDS - schema design, Alembic migrations, query optimisation.
- Redis - caching, pub/sub, distributed locks and idempotency patterns.
- Serverless Framework v3, Docker (container-based Lambdas), Terraform, Jenkins CI/CD.
- Apache Airflow DAG authoring and AWS Glue with Py Spark for batch ETL.
- pytest and moto (offline AWS service mocking), Black formatter, ruff linter.
- Datadog APM tracing and structured JSON logging with Lambda Powertools.
- Strong debugging skills across async event flows, API behaviour, and distributed systems.
- Good working knowledge of Linux, Git workflows, and infrastructure as code.
Experience and Knowledge
- Experience and Knowledge A degree in computer science, software engineering, or equivalent experience
- Proven commercial experience building Python-based AWS Lambda services in production.
- Strong experience with Postgre SQL (schema design, Alembic migrations) and Dynamo DB (access patterns, Streams).
- Experience with event-driven architectures: SQS, SNS, Step Functions, DLQ and retry patterns.
- Hands-on AWS infrastructure experience: Serverless Framework v3, Terraform, ECR, IAM.
- Experience deploying Docker container-based Lambda functions.
- Data engineering background with Airflow DAGs and Py Spark/Glue ETL pipelines is an advantage.
- Multi-tenant Saa S platform experience at scale is desirable.
- Familiarity with telecom, OEM device management, or Io T platforms is a plus.
- Experience with CDC (Change Data Capture) and real-time data sync patterns is a plus.
- Experience reading or maintaining Java Spring Boot services is beneficial.
- AWS certification is highly desirable but not essential.
- #J-18808-Ljbffr
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