Application Programming Interface (API)~PL/SQL~Core .NET Technologies
ob Description:
• .Net MVC, SQL, Web API
• Extensive experience with C#, .NET Framework, ASP.NET MVC, and Web API. Good to have.Net Core.
• Frontend technologies like HTML5, CSS3, JavaScript and jQuery is must. Good to have Angular or React JS.
• Database: Expertise in SQL Server, Entity Framework, ADO.Net and writing Stored Procedures or complex queries.
Responsibilities
Application Programming Interface (ob Description:
• .Net MVC, SQL, Web API
• Extensive experience with C#, .NET Framework, ASP.NET MVC, and Web API. Good to have.Net Core.
• Frontend technologies like HTML5, CSS3, JavaScript and jQuery is must. Good to have Angular or React JS.
• Database: Expertise in SQL Server, Entity Framework, ADO.Net and writing Stored Procedures or complex queries.API)~PL/SQL~Core .NET Technologies
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Application Programming Interface (API)~PL/SQL~Core .NET Technologies
Please work on below demand.
• Primary mandate skill required - Tanium
• Secondary mandate skill required – Intune
• Can we consider Contractor(CWR) profiles-Yes
• Flexible to hire in any location – If not, please mention job location -Open
• Detailed Job Description –
Detailed JD :
Tanium Admin
• Deploying, configuring, and maintaining the Tanium platform and its modules.
• Performing system health checks and ensuring robust endpoint management.
• Identifying, analyzing, and remediating security vulnerabilities and compliance issues.
• Creating and managing Tanium sensors and questions to gather data.
• Troubleshooting endpoint issues across various operating systems like Windows, Linux, and macOS.
• Assisting customers with support cases and answering questions.
• Developing and testing new product features, as seen in roles like Software Engineer.
• Creating and managing deployment strategies for software and patches.
• Working with automation and low-code tools like Tanium Automate.
Intune Admin :
• Design, implement, and manage Intune policies for Windows, macOS, iOS, and Android platforms.
• Oversee application deployment strategies using Microsoft Endpoint Manager (MEM).
• Configure and maintain app protection and configuration policies.
• Provide L3/L4 support for escalated issues related to Intune, device compliance, and application deployment.
• Analyze logs and telemetry data to resolve complex technical issues.
• Collaborate with Microsoft support and internal teams for issue resolution.
• Implement and manage compliance policies, conditional access, and endpoint security baselines.
• Integrate Intune with Microsoft Defender for Endpoint and other security tools.
• Ensure endpoint configurations align with organizational security standards and regulatory requirements.
• Develop and maintain PowerShell scripts to automate Intune tasks and generate reports.
• Utilize Microsoft Graph API for advanced automation and integration.
• Design and implement integrations with Azure AD, Autopilot, SCCM (co-management), and third-party tools.
• Participate in architectural planning and contribute to the endpoint management roadmap.
• Create and maintain dashboards and reports for device compliance, deployment status, and user activity.
• Monitor system health and performance of Intune services.
• Maintain comprehensive documentation of configurations, procedures, and troubleshooting steps.
• Provide training and mentorship to L1/L2 support teams.
Key skills and qualifications:
• Tanium & Intune expertise: Deep knowledge of the platform and its various modules.
• Operating systems: Strong knowledge of Windows, Linux, and macOS environments.
• Scripting and automation: Experience in automating tasks and creating sensors and questions.
• Security and compliance: Understanding of vulnerability management, threat hunting, and compliance reporting.
• Troubleshooting: Ability to identify and solve issues on endpoints.
• Deployment experience: Familiarity with Tanium & Intune-based deployments and other tools like SCCM.
• Customer support: Skills in triaging and solving support cases.
Responsibilities
Please work on below demand.
• Primary mandate skill required - Tanium
• Secondary mandate skill required – Intune
• Can we consider Contractor(CWR) profiles-Yes
• Flexible to hire in any location – If not, please mention job location -Open
• Detailed Job Description –
Detailed JD :
Tanium Admin
• Deploying, configuring, and maintaining the Tanium platform and its modules.
• Performing system health checks and ensuring robust endpoint management.
• Identifying, analyzing, and remediating security vulnerabilities and compliance issues.
• Creating and managing Tanium sensors and questions to gather data.
• Troubleshooting endpoint issues across various operating systems like Windows, Linux, and macOS.
• Assisting customers with support cases and answering questions.
• Developing and testing new product features, as seen in roles like Software Engineer.
• Creating and managing deployment strategies for software and patches.
• Working with automation and low-code tools like Tanium Automate.
Intune Admin :
• Design, implement, and manage Intune policies for Windows, macOS, iOS, and Android platforms.
• Oversee application deployment strategies using Microsoft Endpoint Manager (MEM).
• Configure and maintain app protection and configuration policies.
• Provide L3/L4 support for escalated issues related to Intune, device compliance, and application deployment.
• Analyze logs and telemetry data to resolve complex technical issues.
• Collaborate with Microsoft support and internal teams for issue resolution.
• Implement and manage compliance policies, conditional access, and endpoint security baselines.
• Integrate Intune with Microsoft Defender for Endpoint and other security tools.
• Ensure endpoint configurations align with organizational security standards and regulatory requirements.
• Develop and maintain PowerShell scripts to automate Intune tasks and generate reports.
• Utilize Microsoft Graph API for advanced automation and integration.
• Design and implement integrations with Azure AD, Autopilot, SCCM (co-management), and third-party tools.
• Participate in architectural planning and contribute to the endpoint management roadmap.
• Create and maintain dashboards and reports for device compliance, deployment status, and user activity.
• Monitor system health and performance of Intune services.
• Maintain comprehensive documentation of configurations, procedures, and troubleshooting steps.
• Provide training and mentorship to L1/L2 support teams.
Key skills and qualifications:
• Tanium & Intune expertise: Deep knowledge of the platform and its various modules.
• Operating systems: Strong knowledge of Windows, Linux, and macOS environments.
• Scripting and automation: Experience in automating tasks and creating sensors and questions.
• Security and compliance: Understanding of vulnerability management, threat hunting, and compliance reporting.
• Troubleshooting: Ability to identify and solve issues on endpoints.
• Deployment experience: Familiarity with Tanium & Intune-based deployments and other tools like SCCM.
• Customer support: Skills in triaging and solving support cases.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Key Responsibilities:
• Stakeholder Engagement & Discovery
o Engage internal SMEs to understand current processes and as-is workflows — translate into buildable AI requirements.
o Demo working solutions to internal stakeholders up to business leadership level.
o Support the Architect during feasibility and POC phases — contribute to rapid builds and validate fit.
o Maintain stakeholder communication throughout: progress updates, issue escalation, solution walkthroughs.
• Solution Design & Architecture
o Co-invest with the Architect in upfront solution design — design robustness directly determines build speed and test quality.
o Translate architecture into implementation plans — break down into assignable streams for Developer and Associate.
o Own day-to-day technical decisions during build when the Architect is focused on other projects.
o Identify architectural risks early and escalate before they become build or production problems.
• Build, Scale & Production
o Build complex solution components end-to-end on AWS AgentCore and LangGraph — hands-on coding role.
o Scale solutions from POC to production: performance, reliability, monitoring, and cost management.
o Debug production failures: hallucination patterns, retrieval degradation, agent loops, latency regressions.
o Use AI coding tools (Claude Code, GitHub Copilot, Cursor, Cline) to accelerate delivery. Own all generated code.
o Build Low Code automations (Copilot Studio, Power Automate) when use case and bandwidth allow.
• Team Leadership
o Guide Developer and Associate through implementation, code reviews, and debugging.
o Ensure the team uses AI tools effectively — accelerating delivery without sacrificing code understanding.
Responsibilities
Required Skills & Experience:
Must Have:
o LangGraph — Multi-agent state machines, parallel execution, checkpointing, HITL — non-negotiable.
o LangChain — Advanced chains, memory, custom tool integration.
o AWS AgentCore — Production deployment preferred; strong LangGraph depth with ramp path acceptable.
o AWS Bedrock — Model deployment, knowledge bases, guardrails.
o Database & AI Data Access — SQL proficiency, NL-to-SQL, LLM-powered query layers. Snowflake a plus.
o Systems Integration — REST API development, MCP awareness, enterprise system connectors.
o Advanced RAG — Hybrid search, re-ranking, query reformulation, retrieval evaluation.
o Evaluation Frameworks — RAGAS / TruLens, golden test sets, automated regression pipelines.
o Observability — LangSmith or LangFuse — agent tracing, production debugging.
o Python — Expert-level — design patterns, async, testing, CI/CD.
o Multi-Model — OpenAI, Claude, Gemini, Llama — trade-offs at production scale.
o Pro Code vs Low Code — Working knowledge of Copilot Studio and Power Automate; build when use case fits.
o AI Development Tools — Claude Code, GitHub Copilot, Cursor, or Cline — accelerate delivery; own and fix all generated code.
o Stakeholder Communication — Demo AI solutions to business stakeholders; translate SME knowledge into requirements.
o Experience — 5–8 years total; 2–4 years production GenAI/LLM; 12–24 months multi-agent LangGraph; 3+ systems owned post-deployment.
Good to Have:
o AWS AgentCore Deep — All services hands-on.
o MCP / A2A — Server/client production implementation.
o Google Agentspace / Azure AI Foundry — Production experience.
o Document Intelligence — OCR, layout-aware chunking.
o Fine-Tuning — LoRA / QLoRA for domain adaptation.
o Certifications — AWS ML Specialty, Azure AI Engineer, GCP ML Engineer.
What We Expect From You
• Customer Obsession
o Proactively understand customer goals and deliver measurable value.
• Competitive Drive
o Set high standards, demonstrate tenacity, and ensure our solutions lead in quality.
• Challenging Mindset
o Foster fact-based dialogue, challenge assumptions, and encourage disruptive thinking.
• Action and Learning Velocity
o Build fast, fail fast, learn fast. Iterate rapidly and make data-driven decisions.
• Collaboration and Accountability
o Collaborate across a global team with humility, ownership, and mutual accountability.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Summary:
You build and own assigned solution streams across 1–2 concurrent projects. You implement agentic AI solutions on AWS AgentCore and LangGraph, contribute to POC delivery, and take full ownership of your components in production — including Pro Code builds and Low Code automations where the use case fits.
Key Responsibilities:
• Agentic AI Development
o Implement LangGraph agentic workflows on AWS AgentCore — state graphs, tool orchestration, conditional routing, error recovery.
o Build custom RAG pipelines end-to-end: chunking strategy, embeddings, vector retrieval, accuracy evaluation.
o Contribute to rapid POC delivery alongside the Architect and Lead.
o Write production-grade Python with FastAPI, Pydantic, testing, and proper error handling.
o Use AI coding tools (Claude Code, GitHub Copilot, Cursor, Cline) to accelerate builds. Own and fix all generated code in production.
Responsibilities
• Low Code & Automation
o Build Low Code automations using Microsoft Copilot Studio and Power Automate when use case and bandwidth allow.
o Understand Pro Code vs Low Code trade-offs — flag where Low Code is the better fit.
o Stay current on Low Code platform capabilities as they expand rapidly.
• Production Ownership & Collaboration
o Own assigned components in production — monitor, debug, optimise, iterate.
o Debug agent failures independently: context issues, tool errors, hallucination, retrieval degradation.
o Collaborate with the Lead on architecture translation and implementation planning.
o Mentor Associate Developers through code reviews and pair programming.
Required Skills & Experience:
Must Have:
o LangGraph — State graphs, conditional routing, checkpointing — primary framework, non-negotiable.
o LangChain — Chains, memory, custom tools — solid foundational knowledge.
o AWS AgentCore — Hands-on preferred; strong LangGraph depth with ramp path acceptable.
o AWS Bedrock — Model invocation, knowledge bases, guardrails.
o Database & AI Data Access — SQL proficiency, NL-to-SQL, LLM-powered query and insight patterns. Snowflake a plus.
o RAG Pipelines — End-to-end: chunking, embeddings, retrieval, evaluation.
o Vector Databases — Pinecone, ChromaDB, OpenSearch, or FAISS — hands-on with at least one.
o Python — Production-quality — type hints, async/await, FastAPI, Pydantic.
o Multi-Model — OpenAI, Claude, Gemini, Llama — understand trade-offs across providers.
o Pro Code vs Low Code — Copilot Studio and Power Automate — build when use case fits.
o AI Development Tools — Claude Code, GitHub Copilot, Cursor, or Cline — accelerate delivery; own and fix all generated code.
o Experience — 3–5 years total; 1–2 years GenAI/LLM; 6–12 months LangGraph; 2–3 projects with working code.
Good to Have:
o AWS AgentCore Deep — Runtime, Memory, Tools Gateway hands-on.
o MCP / A2A — Server/client implementation or protocol awareness.
o Enterprise Integration — SAP HANA, Salesforce connectors.
o Document Intelligence — OCR, layout-aware chunking.
o Evaluation Frameworks — RAGAS, Promptfoo, DeepEval.
o Certifications — AWS, GCP, or Azure AI/ML.
What We Expect From You
• Customer Obsession
o Proactively understand customer goals and deliver measurable value.
• Competitive Drive
o Set high standards, demonstrate tenacity, and ensure our solutions lead in quality.
• Challenging Mindset
o Foster fact-based dialogue, challenge assumptions, and encourage disruptive thinking.
• Action and Learning Velocity
o Build fast, fail fast, learn fast. Iterate rapidly and make data-driven decisions.
• Collaboration and Accountability
o Collaborate across a global team with humility, ownership, and mutual accountability.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Designs, implements, and maintains front end applications using TypeScript, Vue 3 (Composition API), Pinia, Vue Router, Vite, SCSS, Tailwind, PrimeVue, Pino logging, Axios, and GraphQL clients (Apollo/URQL/Relay), integrating Auth0 for authentication and authorization.
• Demonstrates strong engineering fundamentals across Linux, Node.js (npm/pnpm), and Docker, applying OWASP practices and SOLID/DRY/KISS/YAGNI principles with sound data structures & algorithms.
• Exhibits deep Vue expertise: reactivity system, directives, component design, props/emits, slots, and lifecycle hooks; organizes code via Composition Functions and type safe patterns in TypeScript.
• Consumes GraphQL SDL and REST OpenAPI specifications, employing client generation where available; connects components to APIs with Axios/Fetch and GraphQL clients, handling auth flows, pagination, caching, and error surfaces.
• Translates Figma designs into accessible, responsive HTML5/SCSS using BEM methodology, Tailwind utility patterns, and PrimeVue or equivalent component libraries; documents components in Storybook.
• Implements secure front end architecture with Auth0 (OAuth/OIDC), token handling, secure storage, CSP, XSS/CSRF mitigation, input validation/encoding, and safe error handling.
• Optimizes web performance via code splitting, lazy loading, tree shaking, asset and image optimization, caching strategies, and efficient rendering; monitors and improves Core Web Vitals using browser performance tooling.
• Writes maintainable, reusable, component driven code that is secure, fast, idempotent, reliable, and resilient, with clear separation of concerns and consistent logging via Pino (browser).
• Tests thoroughly with Jest or Vitest and Vue Test Utils for unit and integration coverage; performs end to end testing; uses msw (mswjs) to mock backend APIs; validates APIs with Bruno or Insomnia and Browser DevTools (console, network, performance).
• Troubleshoots effectively by tracing logs, inspecting errors, and isolating root causes across UI, API, and network layers; produces actionable defect reports with evidence.
• Operates locally in Docker and collaborates on CI/CD workflows; familiar with AWS deployment patterns and front end observability (logging, metrics, tracing) for production support.
• Maintains API and component documentation, aligns with versioned contracts (GraphQL/OpenAPI), and ensures seamless integration between front end experiences and backend data/services.
.
Responsibilities
• Designs, implements, and maintains front end applications using TypeScript, Vue 3 (Composition API), Pinia, Vue Router, Vite, SCSS, Tailwind, PrimeVue, Pino logging, Axios, and GraphQL clients (Apollo/URQL/Relay), integrating Auth0 for authentication and authorization.
• Demonstrates strong engineering fundamentals across Linux, Node.js (npm/pnpm), and Docker, applying OWASP practices and SOLID/DRY/KISS/YAGNI principles with sound data structures & algorithms.
• Exhibits deep Vue expertise: reactivity system, directives, component design, props/emits, slots, and lifecycle hooks; organizes code via Composition Functions and type safe patterns in TypeScript.
• Consumes GraphQL SDL and REST OpenAPI specifications, employing client generation where available; connects components to APIs with Axios/Fetch and GraphQL clients, handling auth flows, pagination, caching, and error surfaces.
• Translates Figma designs into accessible, responsive HTML5/SCSS using BEM methodology, Tailwind utility patterns, and PrimeVue or equivalent component libraries; documents components in Storybook.
• Implements secure front end architecture with Auth0 (OAuth/OIDC), token handling, secure storage, CSP, XSS/CSRF mitigation, input validation/encoding, and safe error handling.
• Optimizes web performance via code splitting, lazy loading, tree shaking, asset and image optimization, caching strategies, and efficient rendering; monitors and improves Core Web Vitals using browser performance tooling.
• Writes maintainable, reusable, component driven code that is secure, fast, idempotent, reliable, and resilient, with clear separation of concerns and consistent logging via Pino (browser).
• Tests thoroughly with Jest or Vitest and Vue Test Utils for unit and integration coverage; performs end to end testing; uses msw (mswjs) to mock backend APIs; validates APIs with Bruno or Insomnia and Browser DevTools (console, network, performance).
• Troubleshoots effectively by tracing logs, inspecting errors, and isolating root causes across UI, API, and network layers; produces actionable defect reports with evidence.
• Operates locally in Docker and collaborates on CI/CD workflows; familiar with AWS deployment patterns and front end observability (logging, metrics, tracing) for production support.
• Maintains API and component documentation, aligns with versioned contracts (GraphQL/OpenAPI), and ensures seamless integration between front end experiences and backend data/services.
.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Training & Culture Building
• Conduct workshops, labs, AI coaching sessions for engineers & managers.
• Lead internal communities of practice for AI and GenAI.
• Promote innovation through showcases, hackathons, and associated central initiatives.
Metrics & Continuous Improvement
• Report & Establish KPIs: productivity gains, adoption rates, automation impact (aligned with THRIVE).
Required Skills & Experience
Technical Skills
• Strong understanding of GenAI, LLMs, vector databases, ML workflows. (cont learning)
• Experience integrating AI into development workflows (copilots, test automation, documentation).
• Proficiency in Python/Java and cloud platforms (Azure/AWS/Google).
• Good grasp of enterprise SDLC, DevOps, APIs, microservices, security, and compliance.
Influence & Leadership
• Proven ability to influence teams without formal authority.
• Excellent stakeholder management across verticals and global counterparts.
• Translate complex AI topics into simple, actionable guidance.
• Align with central initiatives to drive AI adoption in respective dept.
Mindset & Traits
• Evangelist mindset, proactive learner, strong communicator.
• Comfortable with ambiguity and fast experimentation.
• Collaborative, customer-centric, and outcome-driven.
Preferred Qualifications
• 9+ years in software engineering, architect, delivery, or enterprise architecture.
• Experience in transformation programs / self-driver of owned initiatives.
• Exposure to enterprise-scale systems.
• Certifications in AI/ML, cloud, or agile practices.
Responsibilities
Training & Culture Building
• Conduct workshops, labs, AI coaching sessions for engineers & managers.
• Lead internal communities of practice for AI and GenAI.
• Promote innovation through showcases, hackathons, and associated central initiatives.
Metrics & Continuous Improvement
• Report & Establish KPIs: productivity gains, adoption rates, automation impact (aligned with THRIVE).
Required Skills & Experience
Technical Skills
• Strong understanding of GenAI, LLMs, vector databases, ML workflows. (cont learning)
• Experience integrating AI into development workflows (copilots, test automation, documentation).
• Proficiency in Python/Java and cloud platforms (Azure/AWS/Google).
• Good grasp of enterprise SDLC, DevOps, APIs, microservices, security, and compliance.
Influence & Leadership
• Proven ability to influence teams without formal authority.
• Excellent stakeholder management across verticals and global counterparts.
• Translate complex AI topics into simple, actionable guidance.
• Align with central initiatives to drive AI adoption in respective dept.
Mindset & Traits
• Evangelist mindset, proactive learner, strong communicator.
• Comfortable with ambiguity and fast experimentation.
• Collaborative, customer-centric, and outcome-driven.
Preferred Qualifications
• 9+ years in software engineering, architect, delivery, or enterprise architecture.
• Experience in transformation programs / self-driver of owned initiatives.
• Exposure to enterprise-scale systems.
• Certifications in AI/ML, cloud, or agile practices.
Salary : Rs. 15,00,000.0 - Rs. 20,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
