At a Glance
- Tasks: Design and develop cloud-based applications while optimising for performance and security.
- Company: Join a diverse tech company that values innovation and collaboration.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a focus on continuous improvement and learning.
- Why this job: Lead cutting-edge projects in AI/ML and make a real impact in the tech world.
- Qualifications: Experience in cloud development and proficiency in Java or Python required.
The predicted salary is between 60000 - 80000 £ per year.
Job Description Design, develop, and implement cloud-based applications and services.
Collaborate with architects and engineers to ensure design solutions are aligned with business goals.
Optimize applications for performance, scalability, and security.
Identify opportunities to eliminate or automate the remediation of recurring issues to enhance the overall operational stability of software applications and systems.
Participate in code reviews and provide constructive feedback to peers.
Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement.
Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading‑edge technologies.
Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and applied experience.
Experience in cloud development (AWS) with a focus on application design and development.
Experience with AI/ML model integration, Prompt engineering, LLM APIs (Open AI, Bedrock) and Generative AI.
Proficiency in programming languages such as Java, Python, or Node. js.
Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
Experience building RESTful APIs and working with event‑driven or serverless architectures.
Experience with Git, CI/CD pipelines, automated testing frameworks and Dev Ops practices.
Experience with monitoring and logging tools such as Cloud Watch, Dynatrace, Datadog, Prometheus, Grafana, or ELK stack.
Strong understanding of cloud security best practices.
Proficiency in data warehousing solutions such as Snowflake and Iceberg and relational databases such as RDS or Oracle.
Experience in Infrastructure as Code (Ia C) such as Terraform or equivalent.
Experience working with related technical frameworks – Flyway, Spring, Spring Boot, Spring Integration, JMS, JDBC, Hibernate/JPA, etc.
Preferred Qualifications, Capabilities, And Skills Experience in automation in any scripting languages such as Python or Groovy.
Relevant certifications such as AWS Certified Developer, Microsoft
Certified: Azure Developer, or Google Professional Cloud Developer.
Familiarity with database technologies such as SQL, No SQL, and cloud‑native databases.
Familiarity with containerization technologies such as Docker and Kubernetes.
Experience with building loosely coupled software and familiarity with SOA/Microservice architectures.
Equal Opportunity Employer Statement We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.
We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. #J-18808-Ljbffr
