WHO WE ARE:
Beyondsoft is a leading mid-sized business IT and consulting company that combines modern technologies and proven methodologies to tailor solutions that move your business forward.
Our global head office is based in Singapore, and our team is made up of a diversely talented team of experts who thrive on innovation and pushing the bounds of technology to solve our customers’ most pressing challenges.
When it comes time to deliver, we set our sights on that sweet spot where brilliance, emerging technologies, best practices, and accountability converge. We have a global presence spanning four continents (North America, South America, Europe, and Asia). Our global network of talent and customer-centric engagement model enables us to provide top-quality services on an unprecedented scale.
WHAT WE’RE ABOUT:
We believe that collaboration, transparency, and accountability are the values that guide our business, our delivery, and our brand. Everyone has something to bring to the table, and we believe in working together with our peers and clients to leverage the best of one another in everything we do. When we proactively collaborate, business decisions become easier, innovation is greater, and outcomes are better.
Our ability to achieve our mission and live out our values depends upon a diverse, equitable, and inclusive culture. So, we strive to foster a workplace where people have the respect, support, and voice they deserve, where innovative ideas flourish, and where people can unleash their brilliance. For more information regarding DEI at Beyondsoft, please go to https://www.beyondsoft.com/diversity/.
POSITION SUMMARY:
This is a senior-level, hands-on and client-facing role responsible for designing, building, implementing, and supporting secure and scalable cloud solutions. The Cloud Solutions Architect will work directly with clients to translate business and technical requirements into solution architectures and will actively participate in building and deploying those solutions.
JOB RESPONSIBILITIES:
•Design, build, deploy, and support scalable and secure cloud solutions.
•Lead client technical discussions, discovery sessions, and solution design.
•Develop architecture designs, implementation plans, and technical documentation.
•Build and automate cloud infrastructure using Infrastructure as Code (IaC), scripting, and CI/CD technologies.
•Configure and integrate cloud services, networking, security, identity, monitoring, APIs, and automation.
•Design and implement AI and Generative AI solutions, including LLMs, RAG, AI agents, APIs, and enterprise data integrations.
•Build AI proofs of concept and support implementation into production environments.
•Troubleshoot complex cloud, application, integration, and deployment issues.
•Provide hands-on technical leadership and support to engineering and delivery teams.
•Evaluate and implement new cloud, AI, automation, security, and monitoring technologies.
•Support technical proposals, SOWs, solution demonstrations, and estimates.
•Perform other duties as assigned.
•Bachelor’s degree in Information Systems, Computer Science, or equivalent professional experience required.
•8+ years of experience designing and implementing large-scale, secure, and highly available cloud infrastructure and solutions.
•3+ years of hands-on experience designing, building, and deploying cloud infrastructure on AWS, with Microsoft Azure experience preferred.
•3+ years of experience designing and implementing CI/CD pipelines, infrastructure deployment automation, and integrated QA/testing workflows using tools such as Jenkins, AWS CodePipeline, CodeBuild, and CodeDeploy.
•2+ years of experience implementing Infrastructure as Code (IaC) and server provisioning automation using Terraform, CloudFormation, Ansible, Chef, or equivalent technologies.
•3+ years of experience with Linux administration, server automation, and scripting.
•Proficiency in Python, including experience developing AI-powered applications, APIs, and automation workflows.
•Experience with version control systems such as Git, Bitbucket, or Subversion and application development using Agile methodologies.
•Experience designing and implementing large-scale, high-availability applications and infrastructure.
•Hands-on experience designing and implementing AI and Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering.
•Experience with cloud AI platforms such as Azure AI Foundry, Azure OpenAI, Amazon Bedrock, or Amazon SageMaker.
•Experience integrating AI solutions with enterprise applications, APIs, databases, and cloud services.
•Understanding of AI security, governance, data privacy, monitoring, and responsible AI practices.
•Strong communication, presentation, and client-facing skills, with the ability to translate complex technical concepts into business solutions.
•Experience with AI development frameworks such as LangChain, LangGraph, or Semantic Kernel preferred.
•Experience deploying and supporting AI solutions in production environments preferred.
•AWS Certified DevOps Engineer – Professional or equivalent cloud architecture certification preferred.
WHAT WE HAVE TO OFFER:
Because we know how important our people are to the success of our clients, it’s a priority to make sure we stay committed to our employees and making Beyondsoft a great place to work. We take pride in offering competitive compensation and benefits along with a company culture that embodies continuous learning, growth, and training with a dedicated focus on employee satisfaction and work/life balance.
Beyondsoft provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type with regards to race, color, religion, age, sex, national origin, disability status, genetics, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, and the full employee lifecycle up through and including termination.
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