Solutions Engineer-Cloud, AI & Software Development

Job Summary We are seeking a Solutions Engineer with around 3 years ofexperience in cloud computing, software development, solutioning and exposureto AI/ML technologies. The candidate will support the design, development,implementation, and maintenance of scalable and secure software solutionsacross cloud and enterprise application environments. The role requires strong technical fundamentals, hands-ondevelopment experience, problem-solving skills, and the ability to work closelywith technical teams, business users, and stakeholders to deliver reliable andefficient solutions. Key Responsibilities: Cloud & Infrastructure Support

• Assist in the implementation and maintenance of cloud-based solutions on platforms such as AWS, Azure, or GCP.

• Support cloud-native application development, deployment, and monitoring.

• Work with containers, APIs, and microservices-based environments.

• Follow security, governance, and compliance requirements as defined by the organization.

Software Development & Engineering

• Develop, test, and maintain software applications using programming languages such as Python, Java, or similar technologies.

• Participate in the software development lifecycle, including requirements understanding, design support, coding, testing, deployment, and documentation.

• Build and integrate APIs, backend services, and application components.

• Ensure code quality, maintainability, and adherence to development standards.

AI & Data-Driven Solutions

• Support the implementation of AI/ML-enabled features and automation use cases.

• Work with data pipelines, model integration, and AI-based application components under guidance from senior team members.

• Collaborate with data and engineering teams to integrate AI capabilities into business applications.

DevOps & Automation

• Support CI/CD pipeline activities and deployment automation.

• Work with DevOps tools for build, deployment, version control, and monitoring.

• Assist in troubleshooting deployment, application, and infrastructure issues.

Stakeholder & Team Collaboration

• Work with business and technical stakeholders to understand requirements and convert them into technical tasks.

• Collaborate with developers, QA, DevOps, and infrastructure teams to deliver project outcomes.

• Prepare technical documentation and provide regular progress updates.

• Support client-facing or internal project discussions when required.

Requirements: Experience

• Minimum 3 years of experience in IT, software development, cloud engineering, or related roles.

• Hands-on experience in application development and cloud-based implementations.

• Exposure to AI/ML solutions, automation, or data-driven applications will be an advantage.

Technical Skills

• Experience with cloud platforms such as AWS, Azure, or GCP.

• Programming experience in Python, Java, or similar languages.

• Knowledge of APIs,microservices, and system integration.

• Familiarity with Docker,Kubernetes, or containerized environments.

• Understanding of DevOps practices, CI/CD pipelines, and automation tools.

• Basic knowledge of AI/ML frameworks, data pipelines, or analytics platforms is advantageous.

• Familiarity with databases, SQL, and application support activities.

Soft Skills

• Good communication and interpersonal skills.

• Strong analytical and problem-solving abilities.

• Ability to work independently and as part of a team.

• Willingness to learn new technologies and adapt to project requirements.

• Good documentation and stakeholder coordination skills.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

• Relevant certifications in cloud, software development, DevOps, or AI/ML will be advantageous.

Preferred Experience

• Experience in cloud-based software projects.

• Exposure to regulated industries such as BFSI, government, or healthcare is advantageous.

• Experience working inconsulting, implementation, or client-facing environments is preferred.