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 • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Lead design and delivery of enablement programs across EMEA, translating GTM priorities into onboarding, product training, content, and AI-enabled tools. Partner with commercial leaders and Revenue Operations to improve sales execution, analyse funnel performance, and scale enablement to accelerate revenue and rep productivity.
Top Skills:
Ai ToolsGongHighspotLms PlatformsOutreachSalesforce
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Lead EMEA revenue enablement by designing and delivering onboarding, product training, enablement programs, AI-enabled tools, and scalable content. Partner with commercial leaders to translate GTM priorities, analyse funnel performance, and improve rep effectiveness to accelerate revenue.
Top Skills:
Ai ToolsGongHighspotLms PlatformsOutreachSalesforce
Artificial Intelligence • Cybersecurity
Manage and grow an assigned B2B SaaS customer portfolio by driving renewals, upsells and cross-sells. Build strong client relationships, run QBRs and onboarding, collaborate with Product and Marketing, deliver data-driven presentations, monitor market trends, and champion customer feedback to maximize retention and product adoption.
Top Skills:
Account Management ToolsCrm Platforms
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
