Viamagus
https://viamagus.comAbout
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Javascript
.NETContract: 6 months, with potential extension based on project needs and performance
Location: Bengaluru or Chennai, India
Work Mode: Hybrid from Infosys office from day one
Role Summary:
We are seeking a Senior Dynamics 365 CRM Developer / Technical Lead to design, build, integrate, and support Microsoft Dynamics 365 Customer Engagement solutions. The role includes hands-on development, technical leadership, support issue resolution, and mentoring junior developers in an Agile delivery environment.
Click to apply: https://forms.gle/iDRf1PaDyReoxisCA
Key Responsibilities:
- Develop and customize Microsoft Dynamics 365 CE Online solutions across Sales, Service, and Marketing modules.
- Build and maintain plugins, workflows, business process flows, Power Automate flows, and Dataverse customizations.
- Develop integrations using Azure Functions, Web API, REST APIs, JavaScript, C#/.NET, and SQL.
- Configure Dataverse security roles, data models, forms, views, business rules, and solution components.
- Use Azure DevOps for work tracking, source control, build/release processes, and delivery coordination.
- Troubleshoot CRM support issues, coordinate timely closure, and identify recurring problems for long-term fixes or cost optimization.
- Review code, guide junior developers, and ensure solutions follow agreed architecture, quality, and security standards.
- Participate in Agile/Scrum ceremonies, estimation, sprint planning, and delivery reporting.
Required Skills and Experience:
- 6+ years of hands-on experience, or equivalent practical expertise, in Microsoft Dynamics CRM / Dynamics 365 CE development.
- Strong experience with Dynamics 365 CE Online, Dataverse, plugins, workflows, Power Automate, C#/.NET, SQL, Web API, REST APIs, and Azure Functions.
- Experience with JavaScript-based CRM customizations and CRUD operations through Web API calls.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonAbout the Role
Viamagus is a fully AI-driven engineering organization.
We're hiring a Technical Architect who has built real systems, deployed them to production, and meaningfully integrated AI into their engineering practice. You'll lead architecture across all client engagements.
Must-Have: Engineering Foundation
- Bachelor's in CS/Engineering or related field (Master's preferred)
- 8+ years of software development, 3+ years in an architect/lead role
- Built systems from scratch and taken them to production - owned the full lifecycle, not just slices
- Multiple integration experiences - third-party APIs, enterprise systems (SAP, Salesforce, ERP), messaging/event buses, legacy modernization
- Built frameworks for scalability - reusable platforms, SDKs, shared libraries, and internal developer tooling adopted across teams
- Technology-agnostic strength - strong across at least one modern backend stack, one frontend framework, and one cloud platform; able to pick the right tool for the job rather than defaulting to favourite
- AWS or Azure cloud architecture - VPC design, IAM, container orchestration, cost optimization
- DevOps fluency: Docker, Jenkins/GitHub Actions, IaC (Terraform/CDK)
- Performance tuning, distributed tracing, structured logging, APM tools (Datadog, New Relic, or equivalent)
- AppSec collaboration - OWASP Top 10, VAPT remediation, secrets management, compliance (ISO/SOC 2/HIPAA exposure a plus)
Must-Have: AI-Era Awareness
You will be expected to architect systems that use AI effectively and lead engineers who do the same. Working knowledge of several of these is required:
- AI-assisted development - daily driver of Claude Code, Cursor, Copilot, or equivalent; can articulate where they help, where they fail, and how to get better outcomes from them
- LLM integration patterns - understanding of when to use OpenAI, Anthropic, Gemini, or open-source models; familiarity with API usage, streaming, function calling, structured outputs
- RAG basics — vector DBs (pgvector, Pinecone, Qdrant), embeddings, chunking, retrieval tradeoffs — enough to review and guide RAG implementations
- Agentic systems awareness — conceptual understanding of tool use, multi-step agents, and frameworks like LangGraph or CrewAI
- MCP (Model Context Protocol) — awareness of what it is and where it fits
- Prompt engineering fundamentals — versioning prompts, structured outputs, guardrails, handling hallucinations
- AI evaluation and cost awareness — how to measure quality, latency, and cost of LLM-powered features
- Curiosity and experimentation mindset — has tried things beyond ChatGPT in a browser tab
Responsibilities
Architecture & Delivery
- Design scalable, secure architectures for client engagements
- Lead technical due diligence on proposals - feasibility, effort estimation, risk flagging
- Drive production readiness: incident management, observability, release processes
- Review and approve high-impact design decisions across projects
Team & Stakeholders
- Mentor 15–20 engineers across backend, mobile, and cloud teams
- Conduct architecture reviews, code reviews, and technical retrospectives
- Engage directly with client CTOs/architects on solution design and technical escalations
- Translate business objectives into architectural decisions and vice versa
Quality, Risk, Compliance
- Enforce security-first design - threat modelling, data classification, AI-specific risks (prompt injection, PII leakage, model supply chain)
- Ensure compliance readiness for ISO 27001, SOC 2, HIPAA, where applicable
- Identify and mitigate delivery risks early; escalate with proposed mitigations
Nice to Have
- Contributions to open-source projects or AI tooling
- Experience with real-time sync (CRDTs, Realm, Ditto) or offline-first architectures
- Published technical content - blogs, talks, GitHub
- Google/AWS/Azure certifications (bonus, not substitute)
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