Join AutogenAI – Revolutionising Bid and Proposal Writing with generative AI

AutogenAI is a leader in Generative AI SaaS, transforming how organisations create and optimise winning bids, tenders and proposals through cutting-edge natural language processing technology. We are one of the fastest-growing AI companies in the world, expanding rapidly to meet the increasing demand for AI-driven solutions across sectors.

Our innovation stems from a belief that language technology will revolutionise business communication over the next decade. We empower our clients to grow faster and more efficiently by delivering bespoke AI language engines tailored to their needs, saving time, improving content quality, and boosting win rates in highly competitive markets.

We drive AutogenAI’s growth by fostering a culture where innovation and ambition thrive, building a company where everyone can have a career-defining experience. As we scale, we invite passionate professionals to join our journey of innovation, helping shape the future of AI-powered business solutions.

Job Summary:

As a Senior DevOps Engineer at AutogenAI, you will play a crucial role in designing, deploying, and optimizing our infrastructure to support fast and reliable delivery of new features. You will lead initiatives around Kubernetes deployment, CI/CD pipeline development, and system reliability, ensuring that our systems are always ready to scale. This role offers the unique opportunity to shape the DevOps culture within a high-growth environment, collaborating across engineering teams to drive process improvements and resilience.

What you'll be responsible for:

• Service Deployment & Management: Implementing and managing services across multiple environments (AWS, Azure, proprietary cloud) using Kubernetes to ensure scalability and reliability.
• Automation & Reliability: Building and maintaining CI/CD pipelines to streamline deployments, enhance monitoring, and support efficient recovery processes.
• Cross-Functional Collaboration: Partnering with cross-functional teams to ensure the seamless deployment and operation of software solutions.
• Engineering Standards & Culture: Shaping engineering standards, tooling, and processes through code reviews, collaborative development, and post-mortems to strengthen our DevOps culture.
• Issue Resolution: Troubleshooting and resolving production issues, ensuring high system availability and reliability.
• Emergency Readiness: Being available for on-call support in emergency situations (rarely needed) to maintain uninterrupted service continuity.

What You'll Bring to the Team:

• Technical Expertise: Extensive experience in cloud development and Kubernetes deployment, ensuring our systems are robust and scalable.
• Problem-Solving Skills: Proven capability to diagnose and resolve production issues quickly, ensuring minimal downtime.
• Communication Skills: Strong communication abilities, enabling you to work closely with cross-functional teams and provide clarity in complex technical discussions.
• Adaptability and Initiative: Enthusiastic about taking on new challenges outside of DevOps to support our fast-growing and evolving environment.

Requirements:

• Experience: 5+ years in DevOps or platform-related roles with a focus on Kubernetes, CI/CD, monitoring, and scaling.
• Technical Skills: Proficiency in managing cloud infrastructure across AWS, Azure, and proprietary environments; hands-on experience with Kubernetes and CI/CD tools.
• Industry Knowledge: Familiarity with production systems, recovery processes, and modern DevOps practices.

Preferred Qualifications:

• Database Optimization: Experience diagnosing and resolving performance issues with databases and other infrastructure services.
• Secure Multi-Account Infrastructure: Proficiency in managing AWS multi-account setups, preferably using Control Tower.
• Client Deployment Management: Experience with managing client-owned deployments of software.
• AI and ML Infrastructure: Familiarity with AI-powered online services and infrastructure for machine learning (ML) and large language models (LLMs).

Compensation and Benefits:

• Competitive Salary: £80,000 - £110,000 gross per annum, depending on specific experience and qualifications relevant to the role.
• Stock Options: Meaningful equity in the company.
• Retirement Plan: Pension scheme to help secure your future.
• Paid Time Off: Unlimited vacation (Yes, you read right!)
• Flexible Work Options: Hybrid-working with two office days per week in our beautiful central London office, plus flexible working arrangements.
• Private Healthcare: Bupa Medical and Dental cover
• Life Insurance: Peace of mind for you and your family
• Paid parental leave: 16 weeks if you’ve just given birth, 4 weeks if your partner has just given birth (after one year of service)
• Additional Perks: Your choice of laptop (Mac or Windows), regular company events to connect with teammates, and opportunities for continued professional development.

Values in Action:

These aren’t just principles we print and forget – they’re how we work, how we treat each other, and how we deliver for our customers. They shape the company we are, and the one we aspire to become.

• Customers, Always: Everything starts with our customers. We walk in their shoes, speak their language, and build for their delight and success. We win when they win.
• Make It Happen:We move fast and take ownership. No waiting, no red tape – just action, urgency, and focus on outcomes. We ask for forgiveness, not permission.
• Learn and Invent: We stay curious. We learn what we can from past masters - and make up the rest. Change is constant, and so is our growth.
• Act Like Owners: Titles don’t solve problems - people do. We own challenges, break the rules when it’s necessary, and focus on what matters.
• Turn It Up to 11:There is no “Good enough”. We raise the bar, push boundaries, and keep building. There’s always a next level.
• Lead With Respect: We listen first, speak honestly, and value every perspective. Integrity, follow-through, and kindness matter.
• Build Trust Through Transparency: We default to openness. We give feedback, share information, and assume positive intent - no secrets, no silos.

Equal Employment Opportunity Statement:

AutogenAI is an equal opportunity employer dedicated to fostering a diverse and inclusive workplace. We do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by federal, state, or local laws.

We encourage applications from individuals of all backgrounds, including those with disabilities and veterans. Our hiring decisions are based on qualifications, merit, and business needs.

At AutogenAI we value the unique perspectives each employee brings and strive to provide an equitable environment. If you require reasonable accommodations during the application or interview process, please let us know, and we will gladly assist you.

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