Principal I, Software Engineering
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Before you apply
LocationBangalore, India
Typefull-time
SeniorityLead
Experience7+ yrs
Company size10,000+ people
PostedOct 19, 2026 · 2w ago
Verified live22h ago
At a glanceSummarised by Seekless from the posting.
10+ years of experience in designing and modernizing enterprise-scale applications
Bachelor's/ Masters Degree with 7+ years of total experience
C# (.NET Framework, .NET Core / .NET 6/7/8)
Python
SQL
JavaScript
.NET Core / ASP.NET Core
Web API / RESTful Services / MVC
Entity Framework / ORM Tools
Microservices Architecture using .NET
RESTful APIs
OpenAPI / Swagger
NuGet
Hands-on experience in UI and API automation frameworks
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#
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
AWS Cloud Services
Kubernetes
Docker
CI/CD Pipelines
Jenkins
GitHub Actions
Infrastructure Automation
DevSecOps Practices
Containerization and Orchestration
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
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
Generative AI
LangChain
AI Agents
Retrieval-Augmented Generation (RAG)
Vector Databases
LLM Integration and Orchestration
Intelligent Automation Solutions
Enterprise Knowledge Management Systems
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
Experience with Java (JDK 8/11/17/21) for interoperability and legacy system understanding
Skills
C#
.NET Framework
.NET Core
.NET 6
.NET 7
.NET 8
Python
SQL
JavaScript
Java
ASP.NET Core
Web API
RESTful Services
MVC
Entity Framework
ORM
Microservices
RESTful APIs
OpenAPI
Swagger
NuGet
Selenium
Ranorex
JMeter
NeoLoad
AWS
Kubernetes
Docker
Jenkins
GitHub Actions
Datadog
Zipkin
LangChain
AI Agents
RAG
Vector Databases
LLM
Summary Of Position:
We are seeking a Principal Software Engineer with 10+ years of experience in designing and modernizing enterprise-scale applications. The role requires strong architectural leadership, hands-on expertise in cloud-native and distributed systems, and deep experience in performance engineering, automation, and software quality.
The candidate will drive technical strategy, define architecture standards, lead modernization initiatives, and collaborate across engineering, QA, DevOps, and business teams to deliver scalable, secure, and high-performing solutions.
Key Responsibilities:
• Lead architecture, design, and implementation of scalable, secure, and high-performing enterprise applications and cloud-native solutions.
• Define architecture standards, design principles, and engineering best practices across teams.
• Partner with Development, QA, Automation, Performance, and DevOps teams to drive quality engineering, automation strategy, and production readiness.
• Drive modernization and cloud transformation initiatives ensuring scalability, reliability, and operational excellence.
• Perform architectural assessments and provide scalable, sustainable solutions to complex technical challenges.
• Lead architecture, design, and production readiness reviews to ensure adherence to enterprise standards.
• Own performance engineering by defining workload models, capacity strategies, and executing tests using tools like JMeter and NeoLoad.
• 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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