Staff Engineer - 10-15 yrs solid exp in Enterprise Product based companies
looking for early joiner - max 30 days notice period
C#, Dotnet full stack with Angular or React. Microservices, Cloud-GCP,
Azure. QA, with AI expert.
Preferred _candidates who stays in Bangalore, (Hybrid - 1 day WFO in a week)
BE/BTech, MTech
Immediate joiners preferred
Were searching for aTechnical Leadto join ourEngineering teamin Bengaluru location. This is a senior technical leadership role built around quality-led, AI-first product and qualityengineering. You will define and drive the application architecture for our platform designing scalable, resilient systems in .NET and Angular/React while embedding qualityengineeringinto every architectural decision. You'll champion AI-powered development practices across the entire SDLC, set the technical vision for quality at the architecture level, and mentorengineeringteams on building software that is correct by construction, not just tested after the fact. We're looking for someone who sees quality not as a phase but as an architectural property, who leads through technical excellence, and who thrives at the intersection of productengineering, qualityengineering, and AI-driven innovation.
Required Skills:
- Education: BE, B. Tech, M. Tech Only
- Experience Level: 12-15+ Years of hands-on softwareengineeringexperience, with 4+ years in Leading or principal/staffengineer role
Mandatory Skills (Full-Stack + Quality & ProductEngineering)
- Deep expertise in .NET framework (C#,ASP.NET, .NET Core) and modern frontend frameworks (Angular 10+ and/or ReactJS with TypeScript).
- Proven experience designing and owning application architectures: service decomposition, API design, data modelling, and system integration patterns.
- Strong proficiency in microservice architecture, event-driven programming, async design patterns, and distributed systems.
- Extensive experience designing and consuming RESTful APIs and Web APIs with a focus on contract-first design.
- Strong knowledge of HTML5, CSS3, and modern JavaScript/TypeScript for building robust, accessible user interfaces.
- Solid experience with relational databases (SQL Server, MySQL, PostgreSQL) including schema design, query optimisation, and performance tuning.
- Expert-level qualityengineeringmindset: deep experience with test automation frameworks, unit/integration/end-to-end testing, contract testing, and performance/load testing at the architecture level.
- Proven ability to embed quality gates in CI/CD pipelines linting, static analysis, test coverage thresholds, security scanning, and automated regression.
- Strong understanding of quality management principles: defect prevention strategies, root cause analysis, test planning, quality metrics, and continuous quality improvement across the product lifecycle.
- Demonstrated expertise using AI-powered development tools (e.g., Claude, GitHub Copilot, ChatGPT, AI code-review/test-generation tools) and defining AI SDLC standards forengineeringteams.
- Experience with version control systems (Git), branching strategies, and code review practices at scale.
- Strong architecture documentation skills ADRs, system design documents, sequence diagrams, and qualityengineeringplaybooks.
- Excellent communication and stakeholder management skills; ability to articulate technical decisions to bothengineeringand business audiences.
- Proven ability to mentor and lead engineers across multiple teams; strong track record of raising the technical and quality bar.
What Youll Do
- Own and evolve the application architecture for full-stack systems built on .NET (C#,ASP.NETCore) and Angular/React, ensuring scalability, maintainability, and quality by design.
- Design quality-first architectures: embed testability, observability, fault isolation, and graceful degradation as first-class architectural concerns not afterthoughts.
- Define and drive the AI-firstengineeringstrategy: establish standards for AI-powered development tools (e.g., Claude, GitHub Copilot, AI code-review/test-generation tools) and AI SDLC best practices acrossengineeringteams.
- Design and build microservice-based, event-driven systems with async design patterns, ensuring resilience, loose coupling, and horizontal scalability.
- Lead the qualityengineeringpractice at the architecture level: define test automation strategies, contract testing frameworks, performance/load testing architectures, and shift-left quality gates embedded in CI/CD pipelines.
- Establish and enforce coding standards, design patterns, and architectural decision records (ADRs) that raise the quality bar across all productengineeringteams.
- Collaborate with product managers,engineeringleads, QA leadership, and stakeholders to translate business requirements into robust technical solutions and architectural roadmaps.
- Drive cross-teamtechnical alignment: review system designs, conduct architecture reviews, and ensure consistency across services and modules.
- Mentor and coach senior and mid-level engineers on architecture principles, qualityengineeringpractices, AI tool adoption, and full-stack development excellence.
- Evaluate and introduce emerging technologies, AI/ML frameworks, and quality tools to continuously improveengineeringvelocity, reliability, and product quality.
- Prepare and maintain architectural documentation including system design documents, ADRs, runbooks, and qualityengineeringplaybooks.
- Champion a culture of continuous improvement run blameless postmortems, quality retrospectives, and proactively identify architectural debt and quality risks.
You may have other skills, including
Experience with the following technologies a plus
- Experience with AWS cloud services (EC2, Lambda, S3, RDS, ECS/EKS, CloudWatch) or equivalent cloud platforms (Azure, GCP).
- Experience with containerisation and orchestration tools — Docker & Kubernetes — and infrastructure-as-code (Terraform, CloudFormation).
- Familiarity with GitLab CI/CD, TeamCity, Octopus Deploy, or similar build/release tooling.
- Experience with API management platforms such as Apigee and local development workflow tools like Tilt.
- Experience with observability and monitoring platforms such as Datadog, Splunk, or similar — including defining SLIs, SLOs, and alerting strategies.
- Knowledge of AI/ML frameworks or platforms and their application in softwareengineeringand qualityengineeringworkflows.
- Experience with cloud-native architectural patterns: serverless, service mesh, CQRS, event sourcing.
- Familiarity with security architecture principles — OWASP, secure coding practices, and DevSecOps integration.