Cloud Software Engineer

Company Description
Saatvik Agro is the agro-ingredient unit of the Saatvik Group, specializing in high-quality maize-based ingredients used in food, nutrition, animal feed, and industrial applications. The organization focuses on purity and scientific rigor, converting responsibly sourced maize into functional and reliable ingredient solutions. Its products are designed to meet the evolving needs of modern manufacturers who demand consistency, performance, and safety. Guided by the belief that better ingredients create better outcomes, Saatvik Agro aims to support customers in delivering superior products to their markets.
Role Description
We are looking for a Cloud Software Engineer for a full-time, on-site opportunity based in Morena, Madhya Pradesh, India.
The role is suitable for fresh graduates and technology professionals interested in cloud software development, backend engineering, cloud-native applications, APIs, microservices, DevOps, containerization, serverless technologies, automation, distributed systems, and modern software-engineering practices.
The Cloud Software Engineer will work closely with software, IT, infrastructure, data, analytics, operations, finance, production, supply chain, sales, and other business teams to develop, deploy, integrate, maintain, troubleshoot, and improve cloud-based applications, APIs, backend services, internal platforms, automation solutions, enterprise systems, and scalable digital infrastructure.
The role may involve working with AWS, Microsoft Azure, Google Cloud, Java, Python, JavaScript, TypeScript, C#, Go, Docker, Kubernetes, REST APIs, SQL and NoSQL databases, serverless computing, CI/CD, Infrastructure as Code, monitoring tools, and modern cloud-native technologies depending on project and business requirements.
Qualifications
B.E. / B.Tech / B.Sc. / BCA / MCA / M.Sc. / M.Tech in Computer Science, Information Technology, Software Engineering, Computer Applications, Data Science, Artificial Intelligence, or a related discipline.
Freshers and experienced candidates are strongly encouraged to apply.
Candidates with 0–5 years of experience in cloud software development, cloud engineering, software engineering, backend development, DevOps, application development, platform engineering, infrastructure engineering, or related technology roles can apply.
Candidates currently working as Cloud Software Engineer, Cloud Engineer, Cloud Developer, Software Engineer, Backend Engineer, Platform Engineer, DevOps Engineer, Site Reliability Engineer, Application Developer, Cloud Application Developer, Associate Software Engineer, Graduate Software Engineer, or Junior Software Engineer are encouraged to apply.
Candidates from IT services, SaaS, product companies, technology, consulting, e-commerce, fintech, telecom, analytics, manufacturing, logistics, FMCG, or other industries are welcome.
Basic to good knowledge of AWS, Microsoft Azure, Google Cloud, or another major cloud platform.
Familiarity with cloud services such as virtual machines, object storage, managed databases, serverless computing, networking, IAM, load balancers, monitoring, logging, and managed application services will be beneficial.
Basic to good knowledge of at least one programming language such as Java, Python, JavaScript, TypeScript, C#, Go, or C++.
Understanding of object-oriented programming, data structures, algorithms, exception handling, debugging, modular programming, clean coding, and software-development fundamentals.
Familiarity with backend frameworks such as Spring Boot, Django, Flask, FastAPI, Node.js, Express.js, .NET, or similar technologies will be beneficial.
Basic to good understanding of REST APIs, JSON, HTTP/HTTPS, web services, authentication, authorization, API integration, and service-to-service communication.
Familiarity with SQL, MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, Redis, or similar databases will be beneficial.
Understanding of database design, transactions, indexing, schemas, CRUD operations, connection management, and cloud database concepts will be advantageous.
Exposure to Docker, Kubernetes, containerization, orchestration, Helm, or similar technologies will be considered an advantage but is not mandatory.
Familiarity with CI/CD tools and practices using Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or similar platforms will be beneficial.
Exposure to Infrastructure as Code tools such as Terraform, CloudFormation, Bicep, Pulumi, or similar technologies will be advantageous.
Basic understanding of Linux, shell scripting, command-line tools, process management, environment configuration, networking, logging, monitoring, and system troubleshooting.
Exposure to microservices architecture, distributed systems, event-driven systems, scalable backend services, or cloud-native application design will be beneficial.
Familiarity with serverless technologies such as AWS Lambda, Azure Functions, Google Cloud Functions, or similar services will be advantageous.
Exposure to Kafka, RabbitMQ, Redis, caching, message queues, asynchronous processing, background jobs, or event-driven architecture will be considered an advantage.
Basic understanding of networking concepts such as VPC/VNet, subnets, DNS, HTTP/HTTPS, firewalls, security groups, proxies, load balancers, and routing will be beneficial.
Familiarity with IAM, RBAC, OAuth, JWT, secrets management, encryption, certificates, secure coding, and cloud-security concepts will be advantageous.
Exposure to monitoring and observability tools such as CloudWatch, Azure Monitor, Google Cloud Monitoring, Prometheus, Grafana, ELK, OpenTelemetry, or similar platforms will be beneficial.
Familiarity with Git, GitHub, version control, branching, pull requests, code reviews, and collaborative software-development workflows.
Exposure to JUnit, PyTest, Jest, Postman, API testing, unit testing, integration testing, or automated testing tools will be beneficial.
Exposure to scalability, reliability, high availability, fault tolerance, performance optimization, disaster recovery, backup, incident troubleshooting, or production support will be considered an advantage.
Exposure to automation, ETL/ELT, data engineering, analytics, AI/ML, generative AI, ERP, CRM, dashboards, reporting systems, or enterprise applications will be considered an additional advantage.
Familiarity with Agile, Scrum, Jira, SDLC, technical documentation, requirements gathering, sprint planning, or issue tracking will be advantageous but is not mandatory.
Good analytical, logical, debugging, troubleshooting, and problem-solving skills.
Good communication, documentation, collaboration, and teamwork abilities.
Ability to understand business and technical requirements and translate them into practical, reliable, scalable, maintainable, secure, and cost-conscious cloud software solutions.
Willingness to work in an on-site environment.
Internship, academic project, cloud project, backend project, DevOps project, Docker project, Kubernetes project, serverless project, API project, automation project, GitHub project, hackathon, freelance assignment, startup project, or open-source contribution will be considered but is not mandatory.
Candidates without previous full-time cloud software-development experience can also apply.
Strong willingness to learn new cloud platforms, programming languages, backend frameworks, infrastructure tools, DevOps technologies, and modern cloud-native software-engineering practices.
Job Location: Morena, Madhya Pradesh
Employment Type: Full-time, On-site
Experience: Freshers & 0–5 Years

Work arrangement
No