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Position Overview:

We are seeking a talented and driven Senior Software Engineer in AI to join our growing team at Diligent. Reporting to Applied Science Manager, this exciting role involves bridging the gap between Applied Scientists and Product teams - developing, deploying, and scaling ML and LLM-based systems as part of Diligent’s AI platform services to accelerate AI adoption across Diligent's diverse product suite.

Diligent is a global leader in modern governance, delivering innovative SaaS solutions that address governance, risk, and compliance (GRC) needs. Our mission is to empower leaders with cutting-edge technology, actionable insights, and vital connections to drive impactful decisions and lead with purpose.

Key Responsibilities:

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform.
• Build automated AI testing and evaluation frameworks.
• Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities.
• Shape and develop the teams AI platform infrastructure utilizing already established patterns at the organization.
• Design and develop AI libraries and frameworks to help accelerate value delivery across AI platform services.
• Work on projects involving sensitive customer content used for Diligent customers’ board communications, which requires stringent privacy and security measures.
• Document and communicate your approach, progress, and results to the broader team and to other development teams.

Required experience/skills:

• 3-8 years of relevant experience.
• Strong ability to develop highly readable and well-tested code that adheres to SOLID principles.
• Proven proficiency in Python and TypeScript.
• Experience with infrastructure-as-code practices preferably in AWS (or experience with other major cloud providers).
• Ability to contribute to a high-performing agile team, and to product innovation.
• Keen to improve processes and share knowledge across the team.

Nice to have:

• Hands-on AWS CDK experience
• Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions or MCP servers.
• Experience with full AI-based solution lifecycle.

What Diligent Offers You

• Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
• We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
• We have teams all over the world . We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
• Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

Position Overview:

We are seeking a talented and driven Senior Software Engineer in AI to join our growing team at Diligent. Reporting to Applied Science Manager, this exciting role involves bridging the gap between Applied Scientists and Product teams - developing, deploying, and scaling ML and LLM-based systems as part of Diligent’s AI platform services to accelerate AI adoption across Diligent's diverse product suite.

Diligent is a global leader in modern governance, delivering innovative SaaS solutions that address governance, risk, and compliance (GRC) needs. Our mission is to empower leaders with cutting-edge technology, actionable insights, and vital connections to drive impactful decisions and lead with purpose.

Key Responsibilities:

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform.
• Build automated AI testing and evaluation frameworks.
• Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities.
• Shape and develop the teams AI platform infrastructure utilizing already established patterns at the organization.
• Design and develop AI libraries and frameworks to help accelerate value delivery across AI platform services.
• Work on projects involving sensitive customer content used for Diligent customers’ board communications, which requires stringent privacy and security measures.
• Document and communicate your approach, progress, and results to the broader team and to other development teams.

Required experience/skills:

• 3-8 years of relevant experience.
• Strong ability to develop highly readable and well-tested code that adheres to SOLID principles.
• Proven proficiency in Python and TypeScript.
• Experience with infrastructure-as-code practices preferably in AWS (or experience with other major cloud providers).
• Ability to contribute to a high-performing agile team, and to product innovation.
• Keen to improve processes and share knowledge across the team.

Nice to have:

• Hands-on AWS CDK experience
• Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions or MCP servers.
• Experience with full AI-based solution lifecycle.

What Diligent Offers You

• Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
• We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
• We have teams all over the world . We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
• Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

Position Overview:

We are seeking a talented and driven Senior Software Engineer in AI to join our growing team at Diligent. Reporting to Applied Science Manager, this exciting role involves bridging the gap between Applied Scientists and Product teams - developing, deploying, and scaling ML and LLM-based systems as part of Diligent’s AI platform services to accelerate AI adoption across Diligent's diverse product suite.

Diligent is a global leader in modern governance, delivering innovative SaaS solutions that address governance, risk, and compliance (GRC) needs. Our mission is to empower leaders with cutting-edge technology, actionable insights, and vital connections to drive impactful decisions and lead with purpose.

Key Responsibilities:

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform.
• Build automated AI testing and evaluation frameworks.
• Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities.
• Shape and develop the teams AI platform infrastructure utilizing already established patterns at the organization.
• Design and develop AI libraries and frameworks to help accelerate value delivery across AI platform services.
• Work on projects involving sensitive customer content used for Diligent customers’ board communications, which requires stringent privacy and security measures.
• Document and communicate your approach, progress, and results to the broader team and to other development teams.

Required experience/skills:

• 3-8 years of relevant experience.
• Strong ability to develop highly readable and well-tested code that adheres to SOLID principles.
• Proven proficiency in Python and TypeScript.
• Experience with infrastructure-as-code practices preferably in AWS (or experience with other major cloud providers).
• Ability to contribute to a high-performing agile team, and to product innovation.
• Keen to improve processes and share knowledge across the team.

Nice to have:

• Hands-on AWS CDK experience
• Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions or MCP servers.
• Experience with full AI-based solution lifecycle.

What Diligent Offers You

• Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
• We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
• We have teams all over the world . We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
• Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

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Job Description:

Role Synopsis

bp is reinventing itself and digital capability is at the core of this vision. Software Engineers work on the strategic technology platforms we exploit from the market or come up with deep skills in the implementation and integration of market solutions into our overall technology landscape.  You will bring a broad base of Digital technical knowledge and a strong understanding of platform engineering principles. You will be skilled in the application of approaches such as Site Reliability Engineering in the delivery and operation of the technologies you deliver, working as part of multi-disciplinary squads.

You thrive in a culture of continuous improvement within teams, encouraging and empowering innovation and the delivery of changes that optimize operational efficiency and user experience. You are curious and improve your skills through continuous learning of new technologies, trends & methods, applying knowledge gained to improve bp standards and the capabilities of the Engineering Community.

You embrace a culture of change and agility, evolving continuously, adapting to our changing world. You are an effective team player, looking beyond your own area/organizational boundaries to consider the bigger picture and/or perspective of others, while understanding cultural differences. You continually enhance your self-awareness and seek input from others on your impact and effectiveness.  Well organized, you balance proactive and reactive approaches and multiple priorities to completing tasks on time.  You apply judgment and common sense – you use insight and good judgment to inform actions and respond to situations as they arise.

First Deployment

This role is of software and platform engineer for ROSA DevOps team. As a software Engineer for ROSA you are a digital expert bringing deep OpenShift expertise to bp’s Trading & Shipping (T&S) business.

ROSA (Red Hat OpenShift 4 Service on AWS) is considered the backbone of T&S, as the containerized application development platform, hosting more than 60 applications and integrations components across the benches. ROSA is a managed platform supported jointly by Red Hat SREs, AWS SREs and the ROSA Platform DevOps team.

Essential Education:

• Bachelor’s or master’s degree in computer science, engineering, information systems or a numerate degree

Essential Experience and Job Requirements:

• 6+ years’ experience in IT industry with broad experience designing, planning, implementing, maintaining, and documenting solutions in an enterprise environment.
• Minimum 3 years’ experience in platform engineering, ideally OpenShift or ROSA
• Experience running systems in the AWS cloud and innovative technologies.
• Familiar with Ansible, Azure DevOps, Jenkins, ArgoCD
• Experience with shell scripting, python.
• Experience using Agile/Scrum and associated tools.
• Red Hat certification is an added advantage 
• Experience working with geographically remote business partners and teams.
• Continuous learning and improving mindset (for themselves and others) and be able to work autonomously.
• Strong technical authoring skills.

Travel Requirement

Relocation Assistance:

Remote Type:

Skills:

Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please  contact us .

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.