Career | Cloudain

About Us

Cloudain based out in Southern California is a dynamic and innovative IT service provider. We specialize in offering cutting-edge solutions to a diverse client base, with a primary focus on businesses within California. At Cloudain, we are passionate about the work we do, striving for excellence in every project we undertake. Our team is our greatest asset, and we deeply value the unique contributions of each member. We foster a culture of collaboration, innovation, and dedication, ensuring that everyone feels valued and empowered. Join us, and become a part of a company that not only excels in delivering top-notch IT solutions but also cares deeply about its employees and clients.

We are focusing on local resources based out in Southern California, who can report onsite, as required. We’re unable to work on C2C or sponsor work Visas at this time.

Positions Available

Job Title: Security DevOps Engineer

Location: Los Angeles, CA

Job Details: As a Security DevOps Engineer at Cloudain, you will play a crucial role in integrating security practices within our DevOps processes.

Job Responsibility:

  • Developing and maintaining secure CI/CD pipelines for cloud-based applications.
  • Implementing and managing security tools and practices across AWS and Azure environments.
  • Collaborating with development teams to integrate security measures in the early stages of software development.
  • Monitoring and improving the security posture of our applications and infrastructure.
  • Automating security processes to ensure efficient and secure deployments.
  • Staying updated with the latest security trends and threats, and implementing protective measures accordingly.
  • Conducting security audits and risk assessments, and providing recommendations for improvements.
  • Working closely with other teams to ensure a comprehensive security strategy.
  • Providing training and support to team members on security best practices.

Job Qualification:

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Strong working knowledge and experience with DevOps tools and practices.
  • Proficient in security aspects of DevOps processes (SecDevOps).
  • Experience with cloud platforms, preferably AWS and Azure.
  • Familiarity with infrastructure as code, continuous integration, and continuous deployment (CI/CD) practices.
  • Knowledge of scripting languages such as Python, Bash, or similar.
  • Understanding of containerization and orchestration tools, such as Docker and Kubernetes.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.

Job Title: Senior AWS Cloud Architect

Location: Los Angeles, CA

Job Details: As a Senior AWS Cloud Architect at our company.

Job Responsibility:

  • Designing and implementing highly available, scalable, and secure cloud environments using AWS.
  • Leading architectural discussions and guiding teams in the optimal use of AWS services.
  • Developing and maintaining cloud solutions in accordance with best practices and organizational requirements.
  • Collaborating with development teams to architect and support AWS-based applications.
  • Performing technical and security assessments of AWS architectures and solutions.
  • Managing cloud environments in accordance with company security guidelines.
  • Providing recommendations for architecture improvements, cost efficiency, and service quality.
  • Conducting system troubleshooting and problem resolution across various application domains and platforms.
  • Leading initiatives for the evaluation and adoption of new cloud technologies and practices.
  • Providing mentorship and guidance to other team members, fostering a culture of continuous learning and improvement.
  • Engaging with clients and stakeholders, presenting cloud strategies, and providing consultative solutions.
  • Ensuring compliance with industry standards and regulations relevant to cloud computing.

Job Qualification:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
  • Minimum of 5 years of experience in designing, executing, and supporting AWS cloud solutions.
  • AWS Certified Solutions Architect – Professional certification or equivalent.
  • Extensive knowledge of AWS services including EC2, S3, VPC, RDS, CloudFormation, Lambda, and others.
  • Strong understanding of cloud computing technologies and current computing trends.
  • Proficient in cloud-native architectures, including public, private, and hybrid cloud solutions.
  • Experience with Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.
  • Knowledge of DevOps practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and configuration management.
  • Familiarity with security best practices in the AWS environment, including IAM, KMS, and AWS Shield.
  • Excellent problem-solving abilities and experience in handling complex architectural challenges.
  • Strong communication skills, with the ability to convey complex cloud concepts to non-technical stakeholders.

Job Title: Cloud Sales Engineer

Location: Los Angeles, CA

Job Details: As a Cloud Sales Engineer, your role will be pivotal in driving the sales of our cloud solutions, particularly focusing on AWS and Azure platforms.

Job Responsibility:

  • Collaborating with the sales team to understand customer requirements and craft compelling cloud-based solutions.
  • Conducting in-depth product demonstrations and presentations to potential customers, showcasing the capabilities and benefits of AWS and Azure platforms.
  • Providing technical expertise and support during the sales process, addressing customer questions and concerns.
  • Assisting customers in understanding the technical aspects and advantages of our cloud offerings.
  • Working closely with customers to design and propose solutions that meet their business needs, while ensuring technical feasibility.
  • Keeping up-to-date with AWS and Azure updates, new services, and pricing models to provide accurate and relevant information to customers.
  • Assisting in the preparation of sales proposals, RFP responses, and technical documentation.
  • Building and maintaining strong relationships with customers, serving as a trusted advisor on cloud solutions.
  • Providing feedback to product teams based on customer needs and sales experiences.
  • Participating in conferences, workshops, and industry events to represent the company and its cloud solutions.
  • Ensuring that sales targets are met while adhering to the company’s standards and values.

Job Qualification:

  • Bachelor’s degree in Computer Science, Information Technology, Business, or a related field. A Master’s degree or additional certifications are a plus.
  • At least 3 years of experience in a cloud sales engineering or cloud consulting role.
  • Proficient knowledge of cloud computing technologies, with a strong focus on AWS and Azure platforms.
  • Familiarity with cloud infrastructure, hybrid cloud solutions, and cloud migration strategies.
  • Experience in conducting technical presentations and product demonstrations.
  • Strong understanding of the sales process and dynamics, coupled with superb interpersonal skills.
  • Ability to translate technical concepts and features into business benefits.
  • Excellent problem-solving skills with the ability to address customer needs and overcome obstacles.
  • Skilled in developing custom solutions and workflows for clients.
  • Ability to work collaboratively with cross-functional teams, including sales, support, and technical staff.
  • Experience with cloud cost estimation and providing ROI analyses to clients.

Job Title: Artificial Intelligence/Machine Learning Engineer

Location: Los Angeles, CA

Job Details: As an Artificial Intelligence/Machine Learning Engineer.

Job Responsibility:

  • Developing and implementing advanced machine learning algorithms and AI solutions to solve complex business challenges.
  • Collaborating with cross-functional teams to understand business needs and identify opportunities for AI/ML applications.
  • Processing, cleansing, and verifying the integrity of data used for analysis.
  • Designing and deploying machine learning models into production, ensuring scalability and efficiency.
  • Continuously evaluating and improving the performance of existing ML models.
  • Staying up-to-date with the latest AI/ML trends, tools, and best practices.
  • Conducting research and implementing innovative AI/ML techniques and methodologies.
  • Collaborating with data engineers and IT teams to integrate AI/ML solutions into the existing infrastructure.
  • Providing insights and recommendations based on data analysis and machine learning outcomes.
  • Documenting machine learning processes, models, and results in a clear and concise manner for both technical and non-technical audiences.
  • Participating in knowledge sharing sessions and mentoring junior team members in AI/ML methodologies.

Job Qualification:

  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field. A Master’s degree or Ph.D. is highly advantageous.
  • Minimum of 3 years of experience in designing and implementing machine learning algorithms and artificial intelligence solutions.
  • Proficient in programming languages such as Python, R, or Java, with a strong focus on data analysis and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with natural language processing, computer vision, and deep learning technologies.
  • Strong knowledge of AI/ML concepts including supervised and unsupervised learning, neural networks, and feature engineering.
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus.
  • Experience in developing scalable and efficient machine learning models and deploying them into production environments.
  • Strong analytical and problem-solving skills, with the ability to work on complex datasets.
  • Excellent communication skills, both written and verbal, for explaining complex AI/ML concepts to non-technical stakeholders.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for deploying AI/ML models is desirable.

Job Title: UX Designer

Location: Los Angeles, CA

Job Details: UX Designer.

Job Responsibility:

  • Designing user-centric and intuitive interfaces for our digital products.
  • Conducting user research to understand user needs and behaviors.
  • Collaborating with product teams to define user experience strategies.
  • Creating wireframes, user flows, and interactive prototypes to communicate design ideas.
  • Designing high-fidelity mockups and detailed design specifications.
  • Conducting usability testing and gathering feedback to refine designs.
  • Working closely with developers to ensure the accurate implementation of designs.
  • Staying updated with the latest UX trends, tools, and technologies.
  • Participating in design reviews and providing constructive feedback to improve design quality.
  • Collaborating with other designers and stakeholders to ensure a consistent and integrated brand experience.

Job Qualification:

  • Bachelor’s degree in Design, Human-Computer Interaction, Computer Science, or a related field. A Master’s degree in a relevant field is a plus.
  • Minimum of 3 years of experience in UX design, particularly for digital products or web applications.
  • Proficient in design tools such as Adobe XD, Sketch, Figma, or similar.
  • Strong portfolio showcasing UX design work and process.
  • Excellent understanding of UX design principles, user-centered design methodologies, and usability testing.
  • Experience in creating wireframes, user flows, interactive prototypes, and detailed design specifications.
  • Knowledge of responsive web design and mobile app design.
  • Familiarity with front-end development, including HTML, CSS, and basic JavaScript.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Experience with user research and the ability to translate user needs and behaviors into design solutions.