FASTTEK GLOBALpowered by Fast Switch - Great Lakes
Chennai, Tamil Nadu
Software Senior Engineer #1045012Job Description:
- Employees in this job function are responsible for designing, developing, testing and maintaining software applications and products to meet customer needs.
- They are involved in the entire software development lifecycle including designing software architecture, writing code, testing for quality and deploying the software to meet customer requirements.
- Full-stack software engineering roles, who can develop all components of software including user interface and server side also fall within this job function.
Key Responsibilities:
- Engage with customers to deeply understand their use-cases, pain points, and requirements, showcasing empathy and advocating for user-centric software solutions
- Solve complex problems by designing, developing, and delivering using various tools, languages, frameworks, methodologies (like agile) and technologies
- Assess the requirements of the software application or service and determine the most suitable technology stack, integration method, deployment strategy, etc.
- Create high-level software architecture designs that outline the overall structure, components, and interfaces of the application
- Collaborate with cross functional teams like product owners, designers, architects etc.
- Define and implement software test strategy, guidelines, policies and processes in line with organization vision, industry regulations and market best practices.
- Work on continuously improving performance and optimizing the application and implement new technologies to maximize development efficiency
- Familiar with programming practices, such as test-driven development, continuous integration, and continuous delivery
- Support security practices to safeguard user data including encryption and anonymization.
- Create user-friendly and interactive interfaces
- Develop and maintain back-end applications like APIs and microservices using server-side languages
- Evaluate and incorporate emerging technologies and capabilities to deliver their solutions, and are monitoring and participating in solutions for new stack layers, often involving industry collaboration
Skills Required:
- Full Stack Java Developer, LLM, Microservices, Spring Boot, API, GenAI, Angular, GCP, Cloud Architecture
Skills Preferred:
- LLM, GenAI
Experience Required:
- Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides.
- 10+ years in IT; 8+ years in development
Experience Preferred:
Additional Skills Preferred
- Python and AI/ML frameworks (Nice to have): o Python programming experience o AI/ML libraries (TensorFlow, PyTorch, Scikit-learn) o Python-based agentic frameworks (CrewAI, LangChain, AutoGen)
- Advanced AI integrations: o Google Agent Development Kit (ADK) o Model Context Protocol (MCP) o Experience with AI agent orchestration patterns o Understanding of open-source and closed-source LLMs, including their specialties, thinking/reasoning models, token limits, and context window capabilities
- Experience with data processing frameworks (Apache Spark, Kafka)
- Strong understanding and hands-on experience with RDBMS (Oracle, PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra, Redis)
- Familiarity with Vector databases and RAG (Retrieval-Augmented Generation) systems · Experience with Google Cloud Platform services (BigQuery, Cloud Run, Cloud Functions, Vertex AI)
- Experience with enterprise SSO technologies (ADFS, Azure AD, SAML)
- Knowledge of Terraform, Infrastructure as Code
- Frontend technologies (Angular, React)
- Agile methodologies and DevOps practices
Education Required:
- Bachelor's Degree
Additional Information :
- The ideal candidate is a strong Java developer who embraces AI as a tool to enhance software development and application capabilities.
- This role focuses on building production software systems that intelligently leverage AI, rather than developing AI/ML models.
- Experience with traditional software engineering practices, design patterns, and enterprise architecture is paramount, with AI serving as an accelerator and feature enhancer for business solutions.