Senior DevOps Engineer

Job title:

Senior DevOps Engineer

Company

AutogenAI

Job description

Join AutogenAI – Revolutionising Bid and Proposal Writing with generative AIAutogenAI is a leader in Generative AI SaaS, transforming how organisations create and optimize winning tenders and proposals through cutting-edge natural language processing technology. We are one of the fastest-growing companies in the industry, 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 models 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.

• Security Clearance Eligibility: Willingness to undergo national security vetting to at least BPSS level, as this role includes systems access to sensitive data.

Preferred qualifications:

• Database Optimisation: 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).

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 annual leave (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.

• Additional Perks: Top-of-the-range laptop (Mac or Windows), regular company events to connect with teammates, and opportunities for continued professional development.

Work environment:

• Customer-Centric Innovation: We thrive on understanding and acting on our customers’ needs, believing that their success drives our success.

• Ownership & Impact: Everyone takes initiative, owns challenges, and moves quickly to deliver results, often breaking the rules to do what’s right.

• Continuous Learning & Bold Experimentation: We embrace change, celebrate learning from failures, and always push the boundaries to raise the bar.

• Transparency & Trust: We value open, honest communication, with feedback and collaboration at the core of everything we do.

• Inclusive & Respectful: Different perspectives drive us forward, and we act with integrity, always doing what we say we’ll do.

Application instructions:Excited to join us? Send your resume and a cover letter sharing how you can contribute to our mission!Equal Opportunity Employer 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.

Expected salary

£80000 – 110000 per year

Location

London

Job date

Wed, 06 Nov 2024 23:58:40 GMT

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