Kafka Administrator

• Strong hands-on experience in Microsoft Azure Cloud.
• Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
• Basic understanding of Azure AI Foundry and AI-related Azure service setup.
• Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
• Strong knowledge of Terraform, especially:
• Terraform state
• plan / apply
• troubleshooting failures
• migration risks
• Terraform Enterprise concepts
• Strong Python coding capability, not just basic scripting.
• Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
• Good understanding of CI/CD pipelines.
• Ability to troubleshoot pipeline failures.
• Comfortable with YAML and JSON.
• Ability to troubleshoot Azure infrastructure/platform issues.
• Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
• Basic awareness of agentic AI / LLM concepts.
• Awareness of security and cost best practices.

Good to Have Skills

• Hands-on experience with Harness.
• Hands-on experience with Terraform Enterprise.
• Exposure to LangGraph / LangChain.
• Exposure to agentic AI workflows or skill creation.
• Exposure to Claude or enterprise LLM integrations.
• Knowledge of Azure ML Workspace, model registry, and managed endpoints.
• MLOps / LLMOps knowledge.
• FinOps / Azure cost optimization experience.
• Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

Senior Cloud Engineer Job Description

Position Title: Senior Cloud Engineer -- AWS [LONG TERM-CONTRACT POSITION]

Location: Remote [REQUIRES WORKING IN CST TIME ZONE]

Position Overview

The Senior Cloud Engineer will play a critical role in designing, deploying, and managing scalable, secure, and highly available cloud infrastructure across multiple platforms (AWS, Azure, Google Cloud). This role requires deep technical expertise, leadership in cloud

strategy, and hands-on experience with automation, DevOps practices, and cloud-native technologies. The ideal candidate will work collaboratively with cross-functional teams to deliver robust cloud solutions, drive best practices, and support business objectives

through innovative cloud engineering.

Key Responsibilities

Design, implement, and maintain cloud infrastructure and services, ensuring high availability, performance, and security across multi-cloud environments (AWS, Azure, GCP)

Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, and Ansible for automated provisioning and configuration

Lead the adoption and optimization of DevOps methodologies, including CI/CD pipelines, automated testing, and deployment processes

Collaborate with software engineers, architects, and stakeholders to architect cloud-native solutions that meet business and technical requirements

Monitor, troubleshoot, and optimize cloud systems for cost, performance, and reliability, using cloud monitoring and logging tools

Ensure cloud environments adhere to security best practices, compliance standards, and governance policies, including identity and access management, encryption, and vulnerability management

Mentor and guide junior engineers, sharing knowledge and fostering a culture of continuous improvement and innovation

Participate in on-call rotation and provide escalation support for critical cloud infrastructure issues

Document cloud architectures, processes, and procedures to ensure knowledge transfer and operational excellence

Stay current with emerging cloud technologies, trends, and best practices,

Required Qualifications

• Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent work experience
• 6–10 years of experience in cloud engineering or related roles, with a proven track record in large-scale cloud environments
• Deep expertise in at least one major cloud platform (AWS, Azure, Google Cloud) and experience in multi-cloud environments
• Strong programming and scripting skills (Python, Bash, PowerShell, etc.) for automation and cloud service integration
• Proficiency with DevOps tools and practices, including CI/CD (Jenkins, GitLab CI), containerization (Docker, Kubernetes), and configuration management (Ansible, Chef)
• Solid understanding of networking concepts (VPC, VPN, DNS, firewalls, load balancers), system administration (Linux/Windows), and cloud storage solutions
• Experience with cloud security, governance, and compliance frameworks
• Excellent analytical, troubleshooting, and root cause analysis skills
• Strong communication and collaboration abilities, with experience working in agile, interdisciplinary teams
• Ability to work independently, manage multiple priorities, and lead complex projects to completion

Preferred Qualifications

• Relevant cloud certifications (e.g., AWS Certified Solutions Architect, AWS DevOps Engineer, Microsoft AZ-300/400/500, Google Professional Cloud Architect)
• Experience with cloud cost optimization and FinOps practices
• Familiarity with monitoring/logging tools (CloudWatch, Kibana, Logstash, Datadog, etc.)
• Exposure to cloud database technologies (SQL, NoSQL, managed database services)
• Knowledge of cloud migration strategies and hybrid cloud architectures

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

DevOps & Automation:

• Experience in CI/CD tools like Azure DevOps, YAML, Git, and GitHub. Capable of automating build, test, and deployment processes to streamline application delivery.
• Hands-on experience with Infrastructure as Code (IaC) tools such as Bicep (preferred), Terraform, Ansible, and ARM Templates.

Cloud Services & Architecture:

• Experience in Azure Cloud services, including Web Apps, AKS, Application Gateway, APIM, and Logic Apps.
• Good understanding of cloud design patterns, security best practices, and cost optimization strategies.

Scripting & Automation:

• Experience in developing and maintaining automation scripts using PowerShell to manage, monitor, and support applications.
• Familiar with Azure CLI, REST APIs, and automating workflows using Azure DevOps Pipelines.

Data Integration & ADF:

• Working knowledge or basic hands-on experience with Azure Data Factory (ADF), focusing on developing and managing data pipelines and workflows.
• Knowledge of data integration practices, including ETL/ELT processes and data transformations.

Application Management & Monitoring:

• Ability to provide comprehensive support for both new and legacy applications.
• Proficient in managing and monitoring application performance using tools like Azure Monitor, Log Analytics, and Application Insights.
• Understanding of application security principles and best practices.

Database Skills:

• Basic experience of SQL and Azure SQL, including database backups, restores, and application data management.

• Job Title - DevOps Engineer

• Reports Into - Lead DevOps Engineer

• Location - India

A Little Bit about Kwalee….

Kwalee is one of the world’s leading multiplatform game developers and publishers, with well over 900 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Airport Security and Makeover Studio 3D. We also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope, Die by the Blade and Scathe.

What’s In It For You?

• Hybrid working - 3 days in the office, 2 days remote/ WFH is the norm

• Flexible working hours - we trust you to choose how and when you work best

• Profit sharing scheme - we win, you win 

• Private medical cover - delivered through BUPA

• Life Assurance - for long term peace of mind

• On site gym - take care of yourself

• Relocation support - available

• Quarterly Team Building days - we’ve done Paintballing, Go Karting & even Robot Wars

• Pitch and make your own games on https://www.kwalee.com/blog/inside-kwalee/what-are-creative-wednesdays/">Creative Wednesdays! 

Are You Up To The Challenge?

As a DevOps Engineer you have a passion for automation, security and building reliable expandable systems. You develop scripts and tools to automate deployment tasks and monitor critical aspects of the operation, resolve engineering problems and incidents. Collaborate with architects and developers to help create platforms for the future.

Your Team Mates

The DevOps team works closely with game developers, front-end and back-end server developers making, updating and monitoring application stacks in the cloud.Each team member has specific responsibilities with their own projects to manage and bring their own ideas to how the projects should work.  Everyone strives for the most efficient, secure and automated delivery of application code and supporting infrastructure.

What Does The Job Actually Involve?

• Find ways to automate tasks and monitoring systems to continuously  improve our systems.

• Develop scripts and tools to make our infrastructure resilient and efficient.

• Understand our applications and services and keep them running smoothly.

Your Hard Skills

• Minimum 1 years of experience on a dev ops engineering role

• Deep experience with Linux and Unix systems

• Networking basics knowledge (named, nginx, etc)

• Some coding experience  (Python, Ruby, Perl, etc.)

• Experience with common automation tools (Ex. Chef, Terraform, etc)

• AWS experience is a plus

• A creative mindset motivated by challenges and constantly striving for the best 

Your Soft Skills

Kwalee has grown fast in recent years but we’re very much a family of colleagues. We welcome people of all ages, races, colours, beliefs, sexual orientations, genders and circumstances, and all we ask is that you collaborate, work hard, ask questions and have fun with your team and colleagues. 

We don’t like egos or arrogance and we love playing games and celebrating success together. If that sounds like you, then please apply.

A Little More About Kwalee

Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts.

Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle.

We have an amazing team of experts collaborating daily between our studios in Leamington Spa, Lisbon, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, Cyprus, the Philippines and many more places around the world. We’ve recently acquired our first external studio, TicTales, which is based in France. 

We have a truly global team making games for a global audience, and it’s paying off: - Kwalee has been voted the Best Large Studio and Best Leadership Team at the TIGA Awards (Independent Game Developers’ Association) and our games have been downloaded in every country on earth - including Antarctica!

Job description

The role requires you to design development pipelines from the ground up, Creation of Docker Files,  design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.

Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.

Requirement
- 2 years experience as Team Lead.
- Good Command on kubernetes.
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins. 
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache. 
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.

Must Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash,shell Python, Go), Ngnix, Docker.

Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Ngios or similar), IaC(Terraform, cloudformation).

• 5+ years hands-on experience with designing, deploying and managing core AWS services and infrastructure
• Proficiency in scripting using Bash, Python, Ruby, Groovy, or similar languages 
• Experience in source control management, specifically with Git
• Hands-on experience in Unix/Linux and bash scripting
• Experience building, managing Helm-based build and release CI-CD pipelines for Kubernetes platforms (EKS, Openshift, GKE) 
• Strong experience with orchestration and config management tools such as Terraform, Ansible or Cloudformation  
• Ability to debug, analyze issues leveraging tools like App Dynamics, New Relic and Sumologic 
• Knowledge of Agile Methodologies and principles 
• Good writing and documentation skills
• Strong collaborator with the ability to work well with core teammates and our colleagues across STS