Job Role As a DevOps Architect, you are responsible for designing and implementing your organization's DevOps strategy. You'll work closely with development and operations teams to enhance collaboration, improve deployment frequency, and ensure the reliability and scalability of applications. Your key responsibilities include architecting CI/CD pipelines, managing cloud infrastructure, implementing monitoring and logging solutions, and fostering a culture of continuous improvement and agility within the organization. Why Choose Ideas2IT Ideas2IT has all the good attributes of a product startup and a services company. Since we launch our products, you will have ample opportunities to learn and contribute. However, single-product companies stagnate in the technologies they use. In our multiple product initiatives and customer-facing projects, you will have the opportunity to work on various technologies. AGI is going to change the world. Big companies like Microsoft are betting heavily on this (see here and here). We are following suit. What's in it for you? Perform capacity planning, automation, testing, performance tuning, and tools development. Develop and maintain the continuous integration and continuous delivery pipeline. Develop and deploy a control plane for all platform services to guarantee observability, monitoring, analytics, and alerting. Provide on-call support for the platform. Collaborate with the DevOps teams of the SaaS products built on the platform to resolve incidents and implement changes quickly and efficiently. Collaborate with the cyber-security team to integrate security measures into all aspects of the platform. Work with technical project managers, product managers, and operations managers to set priorities and track operational metrics. Participate in planning, system demos, and inspect & adapt events. Drive and coordinate platform adoption, actively engaging product development, quality, regulatory, and customer success teams. Experience in the diagnostics and pharmaceutical industry or other highly regulated industries like finance or insurance seen as highly advantageous. Here's What You'll Bring 8+ years of experience in a systems engineering/DevOps role 3+ years of industry experience with Amazon Web Services, IAM, VPC peering, API Gateway, NLB, EC2, ECS, EKS, Lambda, S3, RDS, DynamoDB, SQS, etc. Strong knowledge of Linux systems and internals (Ubuntu/Alpine preferred) Experience in creating software to automate production systems with one of the following languages: Python, Ruby, Java, Go, etc. Strong experience with configuration management, monitoring, and systems tools (e.g. Ansible, SumoLogic, Prometheus, Grafana, etc.). Proficiency with source control, continuous integration, and testing methods (Git, GitLab, Jenkins) Understanding of cloud provisioning tools, e.g. CloudFormation and Terraform. Strong knowledge of docker, Kubernetes Experience working with cloud-based technologies (Cloudflare CDN and Qualys WAS are highly desirable). Exposure to messaging pub/subsystems (e.g. RabbitMQ, Active-MQ, Kafka) Experience with Linux package management tools e.g.: rpm, apk, deb & fpm, etc. About Us Ideas2IT stands at the intersection of Technology, Business, and Product Engineering, offering high-caliber Product Development services. Initially conceived as a CTO consulting firm, we've evolved into thought leaders in cutting-edge technologies such as Generative AI, assisting our clients in embracing innovation. Our forte lies in applying technology to address business needs, demonstrated by our track record of developing AI-driven solutions for industry giants like Facebook, Bloomberg, Siemens, Roche, and others. Harnessing our product-centric approach, we've incubated several AI-based startupsâincluding Pipecandy, Element5, IdeaRx, and Carefi. inâthat have flourished into successful ventures backed by venture capital. With fourteen years of remarkable growth behind us, we're steadfast in pursuing ambitious objectives. â P.S. We're all about diversity, and our doors are wide open to everyone. Join us in celebrating the awesomeness of differences! Show more Show less

Nurturebox is on a mission to redefine lead generation for the staffing industry with AI-powered precision and insights. We’re seeking a talented AI Scientist to join us in building a next-gen platform that goes far beyond basic lead gen – we’re building an intelligent system designed to deliver warm, qualified leads and actionable buyer insights on demand. This role is not about plugging into a pre-existing AI stack. You’ll be our first AI hire, bringing your expertise to a ‘plain white canvas’ where you’ll architect and implement our entire AI framework from scratch. Our focus isn’t just on automation but on crafting a solution that actively adapts to industry nuances, incorporating intent data, job listings, and hundreds of signals to zero in on ideal prospects. Our recruitment product has already gained significant traction, and with you on board, we’re ready to level up to Nurturebox 2.0, pushing the boundaries of personalized, data-driven prospecting. You’ll work alongside our founding team in a flat hierarchy, so there’s zero red tape—just an open runway for innovation. If you’re passionate about tackling complex problems and crave a role where you can directly shape the future of recruiting tech, Nurturebox is where you’ll make your mark. This is a chance to build a transformative platform from the ground up, with end-to-end ownership and the freedom to create AI-driven solutions that solve real-world staffing challenges. If you’re ready to redefine what’s possible in lead generation, we’d love to meet you. Why We’re Building This? By 2030, AI agents/teammates will be embedded in every department of every major enterprise. Engineers, PMs, sales reps—all will work alongside AI "colleagues" that do more than assist; they learn, adapt, and execute autonomously. Imagine hiring AI to do the job, not just assist with it. At Nurturebox, we’re building that vision specifically for the staffing industry. We know this space inside and out, and we’re crafting a true AI teammate product, not a glorified chatbot or simple co-pilot. This AI is the product—a powerful, adaptive system built to tackle staffing’s unique challenges. This is a role to architect something truly groundbreaking from scratch: to create an AI teammate that not only integrates seamlessly but transforms how the staffing industry operates. If you're ready to redefine what AI can do in a business-critical environment, let’s talk about how you could lead the charge with us. About Ideas2IT (Parent Company) Ideas2IT is a high-end product development firm growing fast with prestigious logos like Facebook, Bloomberg, Roche, Medtronic, and many exciting SAAS startups. We have a proven track record of successfully launching 5 startups in the last 6 years. All of them are venture-funded by top-tier firms and have great traction. Pipecandy - eCommerce AI. Successfully exited Element5 - Healthcare AI. $50M in funding from Insight venture partners Carefi.in - Healthcare Fintech. Funded by Sequoia IdeaRx - Funded by the second-largest eye care chain in the world NurtureBox - Recruitment AI and automation In This Role, You Will Conduct deep research on the foundations and capabilities of LLMs. Design and implement innovative research projects to explore the application of LLMs for code understanding and generation. Develop and evaluate novel techniques for LLM fine-tuning and adaptation to the specific needs Collaborate with engineers and other scientists to integrate LLM solutions seamlessly into the Nurturebox platform. Stay up-to-date on the latest advancements in LLM research and present findings at conferences and within the company. Build a RAG-based solution and leverage Vector DB, Graph DB, chunking, ranking, indexing, semantic search, etc. You Are The Ideal Candidate If You Have Strong foundation skills in AI/ML systems Hands-on experience of working with LLMs Proven experience conducting deep research on LLMs, with a strong understanding of their architecture, training methods, and capabilities. Expertise in natural language processing (NLP) techniques, including text representation, machine translation, and text summarization. A solid foundation in machine learning fundamentals, including deep learning architectures and optimization algorithms. Excellent programming skills in Python, with experience using popular deep learning libraries (e.g., TensorFlow, PyTorch). Excellent communication and collaboration skills, with the ability to effectively present complex technical concepts to technical and non-technical audiences. A passion for innovation and a desire to push the boundaries of what's possible with LLMs. Knowledge of LLM evaluation methodologies Bonus Points For Experience working with LLM for codebase Experience in building and deploying real-world LLM applications. Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP). A strong publication record in top AI and NLP conferences and journals. At Nurturebox, you'll join a team of passionate individuals working on the cutting edge of AI. We offer a collaborative and stimulating work environment, competitive compensation and benefits, and the opportunity to impact the future of Agentic AI. If you're ready to take your LLM expertise to the next level and help us revolutionize Agentic AI transformation, we encourage you to apply! Skills:- Large Language Models (LLM), Large Language Models (LLM) tuning, Retrieval Augmented Generation (RAG) and Artificial Intelligence (AI)