About the job :
The ideal candidate should be a highly skilled DevOps Engineer with several years of hands-on experience in managing systems and IT infrastructure, with a strong focus on automation and security.
The candidate should be proficient in various DevOps tools and methodologies, infrastructure as code, AI / ML frameworks and cloud services.
Familiarity with software development processes, system architectures, build procedures, and CI / CD pipelines is a must.
You will :
- Understand business & technical requirements from stakeholders and suggest the most suitable solution architecture inc. choice of tools / services and its cost estimation.
- Facilitating the development process and operations
- Help develop and maintain automated processes, tools, and documentations.
- Highlight risks and challenges and suggest alternative tools / solution / approach when applicable.
- Design & build and maintain optimal CICD pipelines using Groovy, Job DSL etc.
- Responsible for overall Kubernetes setup and configuration.
- Developing and deploy cutting-edge Generative AI solutions and moderate complex software solutions tailored to customer needs.
- Develop, Test and Deploy Azure infrastructure using Terraform.
- Configuration management using Ansible.
- Developing SQL queries to research, analyze and troubleshoot data and ETL loads.
- Collaborate with Developers, Operation teams, DBAs, platform engineers, and other SMEs to define efficient practices and tools.
- Educate team members and other key stakeholders on Cloud technologies and influence direction of the solution.
Your Skills :
7+ years of industry experience with 4+ years in DevOps tools / practicesUp-to-date knowledge on DevOps, GitOps tools and technologiesExpertise in usage of version control systems (Git, GitHub)Expertise in creating CI / CD Pipelines (Jenkins)Expertise in designing, creating, and implementing Terraform modules.Expertise in infrastructure management and monitoringExperience with Docker and KubernetesGood understanding of Azure servicesFamiliarity with GenAI models such as LLM and natural language processing techniques.Experience with Microsoft Azure Cloud environment and services (e.g., AI Service, Azure Data Factory, Azure Synapse Analytics).Experience with Azure Cognitive Services and other AI / ML frameworks.Strong knowledge in Python.Good to have :
Microsoft Certified : DevOps Engineer ExpertCertified Kubernetes Administrator (CKA)Knowledge of LLM and RAG solution.Strong communication skills and ability to communicate analytical and technical content in an easy understandable wayAgile development, technical design & specification, User Story & Task writingBasic knowledge of insurance / asset management / services processes and related data / contentsAbility to deliver high-quality results under time-constraints and concurrent tasks.Outstanding verbal and written English communication skills requireHaving a basic understanding or exposure to AI tools would be a plus.Familiarity with basic AI tools is considered an advantage.Basic knowledge or experience with AI tools will be beneficial.Exposure to AI tools, even at a basic level, is a value-add.A fundamental grasp of AI tools will be an added benefit.Your Benefits :
We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroadWe believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location)From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fosteredFlexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach(ref : hirist.tech)