Jr. Software Developer

Location: Chennai (Hybrid)

Commitment: Minimum 2 Years (Excluding 3 months of Probation)

Experience Level: Fresher / Entry Level

Job Overview:

We are looking for a skilled and versatile System Administrator with strong expertise in Windows and Linux environments, along with working knowledge of cloud infrastructure, cybersecurity, automation, and AI/ML systems.

The ideal candidate should be capable of handling enterprise IT infrastructure, supporting multi-cloud environments, and contributing to AI/ML deployment and integration activities. Strong communication skills and the ability to collaborate with technical and client-facing teams are essential.

Key Responsibilities:

• Manage and maintain Windows and Linux server environments ensuring stability, performance, and security.
• Support deployment, configuration, and administration of IT infrastructure components across on-prem and cloud environments.
• Monitor system health, troubleshoot issues, and ensure high availability of services.
• Work with cloud platforms such as AWS, Microsoft Azure, and Google Cloud.
• Assist in implementation of security solutions including IAM, firewalls, endpoint protection, and SIEM tools.
• Develop and maintain automation scripts using Python, PowerShell, or JavaScript.
• Support deployment and integration of AI/ML models into production environments.
• Collaborate with engineering and development teams to optimize infrastructure and application performance.
• Participate in technical discussions, documentation, and client support activities when required.

Required Skills & Qualifications:

• Strong knowledge of Windows and Linux system administration.
• Good understanding of networking, servers, and cloud fundamentals.
• Experience or exposure to AWS, Azure, or GCP.
• Proficiency in scripting languages such as Python, PowerShell, or JavaScript.
• Basic understanding of cybersecurity principles and system hardening.
• Familiarity with AI/ML concepts and deployment workflows is an advantage.
• Strong analytical and troubleshooting skills.
• Excellent verbal and written communication skills.

Preferred Qualifications:

• Experience with virtualization and containerization (VMware, Docker, Kubernetes).
• Knowledge of CI/CD pipelines and DevOps practices.
• Exposure to MLOps concepts and model deployment workflows.
• Understanding of monitoring tools and logging systems.
• Experience working in hybrid or enterprise IT environments.

What We Offer:

• Exposure to enterprise-level infrastructure and cloud environments.
• Opportunity to work on real-world AI/ML integration projects.
• Structured career growth into Cloud, DevOps, Security, or AI/ML engineering roles.
• Collaborative work environment with hands-on learning opportunities.
• Competitive compensation and long-term growth path.

Who Should Apply:

• Freshers or candidates with up to 2 years of experience.
• Candidates passionate about system administration, cloud computing, and AI/ML.
• Individuals eager to work in infrastructure-heavy, production environments.
• Strong communicators who can work in team-oriented and client-facing roles.

Responsibilities:

- Collaborate with cross-functional teams including front-end developers, designers, and system administrators to develop robust and scalable server-side applications.

- Design and implement RESTful APIs and services using Node.js, ensuring efficient data handling and integration.

- Develop database schemas and models for MongoDB, optimizing queries and ensuring data integrity.

- Implement data migration and transformation tasks between different data sources.

- Write efficient and reusable code, following best practices and coding standards.

- Conduct thorough testing and debugging of applications to identify and fix issues promptly.

- Collaborate with DevOps team to deploy applications on servers or cloud platforms.

- Continuously monitor application performance and optimize it for scalability and reliability.

- Stay updated on emerging technologies and trends, actively suggesting improvements and innovative solutions.

Requirements:

- Strong proficiency in Node.js and JavaScript.

- Solid understanding of server-side development and asynchronous programming concepts.

- Experience working with NoSQL databases (e.g., MongoDB).

- Knowledge of database design and query optimization techniques.

- Familiarity with web application security principles and best practices.

- Proficiency in using version control systems (e.g., Git).

- Good understanding of agile development methodologies.

- Excellent problem-solving and analytical skills.

- Effective communication and collaboration abilities.

• Minimum of 1-2  years of experience as a Full Stack Developer or similar role.
• Bachelor’s degree in Security, Computer Science, or a related field.
• Experience with  React.js, Node.js, Next.js, and JS libraries.
• Must have an understanding of web3 and blockchain fundamentals.
• An exceptional understanding of secure and scalable application development, including the full lifecycle of API microservices services, including authentication, API gateways, and versioning.
• Excellent analytical and time management skills.
• Ability to wear many hats and learn new technologies quickly.
• Solid knowledge of web architecture and design patterns.
• Good knowledge and understanding of Backend and Frontend technologies
• Hands-on experience in building REST API using NodeJs
• Excellent communication and teamwork skills
• Great attention to detail.

• Liaising with clients to identify specific business problems and develop ideas
• Communicating with colleagues within the agency, such as creatives and account managers, in the process of developing a campaign
• Gaining a comprehensive context for advertising strategies by analysing a wide range of information in detail, including demographics, socio-economic and the market for the client's product and market share;
• Commissioning research from outside organisations to inform advertising strategies, using both qualitative methods, such as focus groups and structured interviews, and quantitative methods, such as demographic profiling and questionnaires
• Running research groups
• Finding an 'angle' on a specific product or service on which to base a campaign;
• Researching the product or service to be advertised, which may involve gaining technical or specific knowledge
• Reconciling the differences between consumers' current perceptions of the brand and the way the client wishes the brand to be perceived;
• Meeting the client to learn the background of the brand and advising on possible approaches to the target market
• Providing the creative team with a clearly defined brief that contains concise information on the product, audience and strategy
• Presenting conclusions and ideas to clients and other agency staff
• Analysing and interpreting customer response and sales data to evaluate the effectiveness of the campaign.