Lead design and implementation of cloud-based applications, integrate AI/ML models and LLMs, optimize for performance and security, automate remediation, conduct code reviews, drive DevOps/monitoring best practices, and lead engineering communities of practice.
Job responsibilities
- 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
- Experienced in cloud development (AWS), with a focus on application design and development.
- Experience with AI/ML model integration, Prompt engineering, LLM APIs (OpenAI, 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 DevOps practices.
- Experience with monitoring and logging tools like CloudWatch, Dynatrace, Datadog, Prometheus, Grafana, or ELK stack.
- Strong understanding of cloud security best practices.
- Proficiency in data warehousing solutions like Snowflake and Iceberg and relational databases such as RDS or Oracle.
- Experience in Infrastructure as code (IAC) 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/groovy etc.
- Relevant certifications such as AWS Certified Developer, Microsoft Certified: Azure Developer, or Google Professional Cloud Developer
- Familiarity with database technologies such as SQL, NoSQL, and cloud-native databases.
- Familiarity with containerization technologies such as Docker and Kubernetes.
- Experience with building out loosely coupled software and familiarity with SOA/Microservice architectures
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. 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. Visit our FAQs for more information about requesting an accommodation.
Similar Jobs
Artificial Intelligence • Cloud • Information Technology • Consulting
Supports technical sales for HPC and AI solutions by gathering customer requirements, designing architectures, preparing proposals, delivering demonstrations and proof-of-concepts, and validating solutions. Collaborates with sales teams, customers, partners, and technical specialists to position solutions, manage opportunities, contribute to pipeline growth, and support successful knowledge transfer. The role also involves tracking emerging technologies, participating in forecasts, documenting activities, and developing expertise in enterprise infrastructure and cloud technologies.
Top Skills:
AICloud ComputingCloud PlatformsCompute TechnologiesData AnalyticsData Center TechnologiesHpcInfrastructureMachine LearningNetworkingStorage
Artificial Intelligence • Software
Own product marketing for Calculation Engines and Portfolio Intelligence, driving adoption, launches, onboarding, technical content, positioning, competitive intelligence, and feedback loops. The role targets technical actuarial and developer audiences, partners closely with Product, Revenue, Solutions Engineering, and AI teams, and translates complex capabilities into credible messaging and enablement.
Top Skills:
AIB2B Saas
.png)
Consumer Web • eCommerce • Marketing Tech • Retail • Software • Analytics • Generative AI
Build and maintain detection-as-code, security tooling, and automated response workflows across enterprise, cloud, and product environments. Triage alerts, investigate and respond to cyber threats, conduct digital forensics and threat hunts, support security data lakes and SIEM platforms, and develop AI-first security systems. The role includes on-call participation, collaboration with threat intelligence, pipeline improvements, and mentoring other security engineers.
Top Skills:
Artificial IntelligenceCi/CdCloud PlatformsData PipelinesGitGitGoPythonSecurity Data LakesSIEMSplunkSQL
What you need to know about the Bristol Tech Scene
Along with Gloucester, Swindon and Bath, Bristol is part of the "Silicon Gorge" tech hub, a region in the U.K. renowned for its high-tech and research-driven industries, with a particular emphasis on sustainability and reducing environmental impact. As the European Green Capital, Bristol is home to 25,000 cleantech companies, including Baker Hughes and unicorn Ovo Energy. The city has committed to achieving net-zero emissions within the next decade.
