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Machine learningKubernetesA/B testingPythonJavaLLMsAWSAzureGoogle CloudCI/CD
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About the role
Why Choose Bottomline?
Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team!
Senior AIOPs Engineer
Bottomline is at the forefront of digital transformation. We are a growing global market leader uniquely equipped to address the changing needs of how businesses pay and get paid. Our culture of working with and for each other enables us to delight our customers . We empower our teams to think like owners driving customer delight, helping them grow their business and win in their markets.
AI Ops Engineers at Bottomline are responsible for designing and delivering intelligent platforms, automation solutions, and AI-driven capabilities that transform how teams operate and innovate. By combining Artificial Intelligence, Machine Learning, Agentic AI, Generative AI, MLOPS , operational intelligence, and modern engineering practices, our team enables smarter decision-making, increased productivity, accelerated innovation, improved operational efficiency, reduced MTTR, and enhanced customer outcomes. We leverage emerging technologies to build intelligent, scalable, and resilient solutions that help drive automation, operational excellence, and digital transformation across the organization.
In this role, you will be learning complex systems, specifically how they behave and fail in production. If you are inclined to identify, analyze, and eliminate failure modes through automation, operational intelligence, and AI-driven solutions, then you might be a good fit for the team. This important work not only drives growth for Bottomline but is also critical to helping our customers succeed in their markets.
You might be a good fit for our team if the following describes you:
• You are passionate about solving complex business and operational challenges through technology and automation.
• You consistently leverage engineering, automation, and AI-driven approaches to improve efficiency and productivity.
• You have experience working with cloud-native technologies, Kubernetes, APIs, and modern engineering platforms.
• You think beyond individual tools and systems, understanding how data, applications, platforms, and people work together to deliver business outcomes.
• You enjoy analyzing problems, identifying patterns, and developing innovative solutions.
• You demonstrate strong learnability and the ability to rapidly adopt emerging technologies, frameworks, and industry trends.
• You are curious about Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, AI Agents, MCP, and MLOps practices.
• You are enthusiastic about sharing knowledge, mentoring others, and fostering a culture of continuous learning.
• You are driven to automate repetitive tasks, eliminate inefficiencies, and continuously improve existing processes.
• You embrace experimentation, innovation, and data-driven decision-making.
Preferred Technologies and Areas of Expertise
• Programming Language (Python ,Java or any relevant )
• Generative AI & LLMs
• Agentic AI & AI Agent
• MCP (Model Context Protocol)
• RAG
• MLOps & AI Platform Operations
• AI Skill Files & Workflow Orchestrations
• API Development & Enterprise Integrations
• Kubernetes & Container Platforms
• Cloud Platforms (AWS, Azure, GCP)
• Python
• API Integrations
• CI/CD
• Infrastructure as Code (IaC)
• Observability Platforms
• Vector Databases
• Workflow Automation
• Operational Intell
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