Saviynt is an identity authority platform built to power and protect the world at work.
In a world of digital transformation, where organizations are faced with increasingcyber risk but cannot afford defensive measures to slow down progress, Saviynt’sEnterprise Identity Cloud gives customers unparalleled visibility, control andintelligence to better defend against threats while empowering users with right-time,right-level access to the digital technologies and tools they need to do their bestwork.The Sr. Systems Applications Developer plays a pivotal role in designing,developing, and deploying internal support automation tools and AI-driven systemsthat enhance operational efficiency and user experience.
This role requires aseasoned developer with deep expertise across Python, Java, JavaScript, and .NET,who can also design and integrate advanced AI solutions using AWS services likeAmazon Q and Bedrock. The ideal candidate is highly experienced in RPA agenticautomation, prompt engineering, embedding-based retrieval systems (RAG), andbuilding custom AI agents.
WHAT YOU WILL BE DOING
- Tool Development & Maintenance: Design and implement internal tools using Python, JavaScript, Java, and .NET to improve support workflows and system efficiency.
- AI Integration: Build and integrate AI solutions using AWS AI/ML services, including Amazon Bedrock, Amazon Q Business, and Knowledge Bases.
- RAG Pipelines & Embeddings: Set up and maintain Retrieval-Augmented Generation (RAG) pipelines with embeddings for personalized and accurate AI interactions.
- Prompt Engineering: Craft optimized prompts for AI agents and LLMs to deliver reliable, context-aware responses
- Agentic Workflows: Build and orchestrate intelligent agents that autonomous carry out complex support and business tasks using agentic planning.
- RPA Automation: Develop and deploy Robotic Process Automation (RPA) bots to automate manual and repetitive support operations across systems.
- End-to-End Systems Ownership: Take full ownership of projects—from design, development, deployment, to monitoring and optimization.
- Cloud Architecture: Architect scalable, secure, and resilient applications on AWS using serverless, containers, and event-driven paradigms.
- Data Processing & Reporting: Build backend systems to ingest, parse, and analyze data (e.g., logs, tickets), and generate actionable insights and reports.
- Security & Compliance: Implement best practices for data protection, IAM roles, encryption, and API security in all solutions.
- Collaboration & Support: Work with product, DevOps, and support teams to understand requirements and deliver efficient, user-friendly tools and automations.
- Documentation: Maintain detailed technical documentation and runbooks for deployed systems, APIs, and agents.
WHAT YOU BRING
- Experience: 5+ years of professional experience in developing enterprise-grade software tools and internal automation platforms.
- Programming Mastery: Expertise in Python, JavaScript/Node.js, Java, and .NET frameworks.
- AWS Expertise: Hands-on experience with Amazon Q (Business & Bedrock), Amazon Kendra, Lambda, API Gateway, S3, CloudWatch, Cognito, and related services will be an added advantage.
- Prompt Engineering & AI Skills: Strong understanding of LLM behaviour, system & user prompt design, and use of embeddings (e.g., with Cohere, Titan, or OpenSearch).
- RAG Architecture: Proven experience building and maintaining Retrieval Augmented Generation pipelines and chunking strategies.
- Agentic Frameworks: Experience with frameworks like LangChain, Semantic Kernel, or AWS Agents for Bedrock.
- RPA & Automation: Deep understanding of automation workflows using tools such as UiPath, Automation Anywhere, or custom Python-based bots.
- Problem Solving: Creative and structured approach to complex technical problems with an automation-first mindset.
- Collaboration & Communication: Excellent cross-team collaboration skills, and the ability to clearly communicate technical concepts to non-technical stakeholders.
- Education: Bachelor’s or Master’s in Computer Science, Engineering, or a related field. Certifications in AWS, RPA, or AI/ML technologies are a strong plus.
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