Lead Software Engineer
Lead Software Engineer
Cognizant ConsultingFresher
- Posted 10 days ago
- Over 50 applicants have applied
Job Description
This position is intended for engineering leaders with strong software development and architecture experience. Candidates whose primary background is program or project management, without significant hands-on engineering experience, are not the target profile.
The Candidate Should Demonstrate The Following Capabilities
Leadership & Engineering Expectations
The Candidate Should Have Strong Experience In
The Candidate Should Demonstrate The Following Capabilities
Leadership & Engineering Expectations
- Strong Engineering Mindset - Hands-on software engineering experience with the ability to lead by example and make sound technical decisions.
- Solution Architecture & Design - Ability to design scalable, resilient, secure, and high-performing engineering solutions, supported by a strong understanding of software architecture, design patterns, and distributed systems.
- Technical Strategy & Execution - Ability to define the engineering roadmap, translate strategy into execution, and consistently deliver business outcomes.
- People Leadership - Proven experience in hiring, coaching, mentoring, performance management, succession planning, and building high-performing engineering teams.
- Stakeholder Management - Excellent communication skills with the ability to influence cross-functional stakeholders, build strong partnerships, and effectively manage executive expectations.
- Engineering Excellence - Strong focus on code quality, CI/CD, testing strategy, DevSecOps, operational excellence, technical debt reduction, and continuous improvement.
- Operational & Production Excellence - Experience driving reliability, observability, performance optimization, incident management, root cause analysis, and production stability.
- Engineering Productivity & AI - Experience leveraging AI-assisted development, automation, and modern engineering practices to improve developer productivity, quality, and delivery efficiency.
The Candidate Should Have Strong Experience In
- Spring Boot and Node.js ; RESTful APIs and GraphQL; Microservices and distributed systems architecture
- API strategy, governance, lifecycle management, and security; Modern design patterns and engineering best practices
- Cloud-native application development (AWS, Azure, or GCP)
- Kubernetes/OpenShift and containerized platforms
- CI/CD pipelines and DevSecOps practices
- Observability and monitoring platforms
- Build enterprise engineering platforms, reusable frameworks, and foundational capabilities.
- Establish engineering standards and governance.
- Enable federated engineering teams through reusable solutions while driving enterprise-wide adoption and consistency.
More Info
Key Skills
Distributed systems architecture
Cloud-native application development
DevSecOps practices
Containerized platforms
API strategy governance
Monitoring platforms
CI CD pipelines
Observability
About Company
Skills:
Containers, React, Angular, Spring Boot, Kubernetes, event-driven architecture, AI-assisted development tools, Devin Cursor, cloud-native platforms, modern application deployment architectures, Kafka streaming platforms, GitHub Copilot, asynchronous integration patterns
Skills:
Agile Methodologies, Splunk, automation, Programming Languages, Kibana, Dynatrace, Incident Management, Testing, Machine Learning, System Design, cloud, Application Development, Artificial Intelligence, operational stability, mobile data, observability, software engineering concepts, AI-assisted software development tools
Skills:
snowflake , Oauth, Rest Api, Git, FastAPI, Azure, Python, Logging, LangChain, Agent Memory, Token Optimization, Multi-Agent Orchestration, Azure AI Foundry, Agent Observability, LLM Evaluation, AutoGen, LangGraph, RAG, OpenAI, Monitoring
Skills:
.Net Core, Linq, Rest Api, React, Git, Azure Functions, Javascript, Terraform, Docker, Entity Framework, Sql Database, Azure Storage, Azure API Management, Azure Key Vault, Azure Event Grid, Azure Service Bus, Azure App Service, Azure Monitor, Application Insights
Skills:
Cloud Architecture, Automation, AWS, AI integration, systems thinking, Infrastructure-as-code