Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications
Broad outline of the Role
This role is responsible for the end-to-end development of software applications, including design, coding, testing, debugging, and implementation of applications with a focus on operational excellence, tactical execution, and collaboration with cross-functional teams. The role ensures the delivery of high-quality, innovative software solutions that align with business objectives. The role encourages the use of AI tools and methodologies to enhance productivity and support current workflows, with an emphasis on responsible experimentation and upskilling.
Key Responsibilities:
Participate in design discussions and planning meetings to optimize development strategies, including the use of AI-powered coding assistants where practical.
Develop and implement applications using programming languages (e. g., Golang, Nodejs, PHP), with the option to leverage AI-powered code suggestion tools to improve efficiency and reduce errors.
Utilize AI-driven platforms for supportive tasks such as code review, documentation drafting, and basic test case generation
Translate designs into high-quality code throughout the AI-assisted SDLC
Define and refine infrastructure and deployment requirements, using available analytics tools to support resource allocation decisions.
Build and maintain tools for automated testing, deployment, monitoring, and analysis, integrating AI-based solutions where feasible to support continuous improvement.
Integrate software components and third-party programs, including those with AI enhancements, to improve functionality and interoperability.
Conduct testing, troubleshooting, debugging, and upgrading of software, using AI-augmented tools for supportive analysis and reporting.
Create and maintain technical documentation, use AI tools for initial drafts or summaries,
Collaborate with Product Owners and teams to leverage AI tools for efficient story grooming, backlog maintenance, and sprint planning, .
Design and execute test strategies, incorporating AI-based test automation tools where available to improve coverage and efficiency.
Analyze test reports, including those generated by AI tools, to prioritize fixes and enhancements, while maintaining oversight of final decision-making.
Following are the required skills:
OS: Linux (CentOS/Ubuntu), Windows
Object Oriented programming concepts
Back-End Technologies Go, Node.js (JavaScript/TypeScript), .NET Core, REST API design, Microservices architecture, API Security, OAuth2, OpenID Connect, Rate limiting, throttling
Databases & Storage Relational Databases, PostgreSQL/ MySQL/SQL Server
NoSQL Databases: MongoDB/DynamoDB/Cassandra/Redis (also for caching)/Blob/S3 storage/Elasticsearch
DevOps, CI/CD, and Infrastructure Cloud Providers
AWS (most common), Cloud Architecture Skills, VPC, Load Balancers, IAM, Autoscaling, Container services (ECS/EKS/GKE/AKS), CDN (CloudFront, Akamai), Containerization & Orchestration, Docker, Kubernetes
CI/CD Tools Basics: GitHub Actions, GitLab CI, Jenkins 5. Software Architecture & Frameworks
Domain-Driven Design (DDD), Event-Driven Architecture (Kafka, SNS/SQS, RabbitMQ), Microservices patterns, Monolithic vs modular architecture, Design patterns (GoF), SOLID principles
Security & Compliance:
OWASP Top 10, Static & Dynamic Analysis (SAST/DAST), Secrets management (Vault, SSM), Identity and Access Management (IAM), Data encryption concepts
Observability, Monitoring, and Logging:
Logging: ELK Stack, Loki, CloudWatch. Metrics: Prometheus, Datadog, New Relic. Tracing: OpenTelemetry, Jaeger
Testing Technologies:
Unit testing (Jest, NUnit, PyTest, JUnit), Integration testing tools, API testing (Postman, Newman), End-to-end testing (Cypress, Playwright)
Collaboration & Productivity Tools:
Git, GitFlow, Jira / Azure DevOps Boards, Confluence or Notion, Architectural modeling tools (Draw.io, Lucidchart, PlantUML, Mermaid)
Leadership & High-Level Technical Skills (Non-code but essential):
Agile/Scrum principles, technical documentation, reviewing architecture proposals, Mentoring and code review, Threat modeling, Performance tuning
Minimum Qualifications & Experience:
Graduation in Computer Science and Engineering or a related field; 6-10 years relevant experience.
