Troubleshoot complex production issues across distributed systems and drive root cause resolution.
Collaborate with stakeholders to translate business requirements into scalable and robust solutions.
Drive observability, monitoring, and reliability engineering practices to ensure system stability.
Mentor engineering teams and influence strategic technology decisions.
Evaluate and adopt emerging technologies and automation capabilities to improve delivery efficiency.
Key Requirements/ Minimal Qualifications
Bachelor’s/ Masters Degree with 7+ years of total experience.
Programming Languages
C# (.NET Framework, .NET Core / .NET 6/7/8)
Python
SQL
JavaScript
Experience with Java (JDK 8/11/17/21) for interoperability and legacy system understanding (Good to have)
Frameworks & Technologies
.NET Core / ASP.NET Core
Web API / RESTful Services /MVC
Entity Framework / ORM Tools
Microservices Architecture using .NET
RESTful APIs
OpenAPI / Swagger
NuGet
Experience working with Java-based services and APIs
Automation & Quality Engineering
Hands-on experience in UI and API automation frameworks
Strong expertise with
Selenium (Automation)
Ranorex (Automation)
API Automation using REST-based testing frameworks
Experience in designing scalable automation frameworks for enterprise applications
Strong understanding of test strategy, regression automation, and CI-integrated automation
Ability to integrate automation within CI/CD pipelines for continuous testing
Proficiency in scripting and automation using Python and/or C#
Architecture & Design
Enterprise Solution Architecture
Microservices Architecture
Domain-Driven Design (DDD)
Distributed Systems Design
Event-Driven Architecture
Enterprise Integration Patterns
API Design and Governance
Security Architecture
High Availability and Resiliency Design
Scalability and Performance Engineering
Enterprise Application Modernization
Cloud & DevOps
AWS Cloud Services
Kubernetes
Docker
CI/CD Pipelines
Jenkins
GitHub Actions
Infrastructure Automation
DevSecOps Practices
Containerization and Orchestration
Observability & Reliability Engineering
Datadog
Zipkin
Distributed Tracing
Application Monitoring
Log Aggregation and Analysis
Performance Tuning
Reliability Engineering
Production Support
Operational Excellence
Bottleneck Analysis and Optimization
Production Readiness Validation
Hands-on expertise with performance testing tools such as JMeter and NeoLoad
Ability to design workload models, execute performance tests, and analyse bottlenecks
Experience in end-to-end performance engineering including load testing, stress testing, and capacity planning
Database Expertise
Strong expertise in Relational Database Management Systems (RDBMS)
Data Modelling and Database Design
Query Optimization and Performance Tuning
Data Migration and Data Integrity Strategies
Transaction Management
Database Scalability and Reliability
Artificial Intelligence & Emerging Technologies
Generative AI
LangChain
AI Agents
Retrieval-Augmented Generation (RAG)
Vector Databases
LLM Integration and Orchestration
Intelligent Automation Solutions
Enterprise Knowledge Management Systems
Required Competencies
Exceptional analytical thinking and problem-solving capabilities.
Strong ability to diagnose, troubleshoot, and resolve complex technical challenges in distributed enterprise environments.
Proven expertise in architectural decision-making and technology leadership.
Strong stakeholder management and cross-functional collaboration skills.
Ability to translate business requirements into scalable, maintainable, and secure technical solutions.
Strong focus on software quality, automation, performance, maintainability, and operational excellence.
Strong mentoring, leadership, and technical coaching abilities.
Ability to balance strategic architecture responsibilities with hands-on technical execution.
Experience driving engineering excellence, modernization initiatives
Work hours: 1 PM to 10 PM IST
Relocation assistance: Yes
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