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Role Overview
We are looking for an experienced Lead Software Engineer to design, build, and scale robust backend systems and applications. The ideal candidate should have strong expertise in system design, hands-on coding, and experience working on high-performance, scalable SaaS platforms.
Key Responsibilities
Design and develop scalable, reliable, and high-performance software systems
Lead end-to-end development of backend services and applications
Architect and implement microservices and distributed systems
Collaborate with cross-functional teams including product, frontend, and AI teams
Review code, mentor junior engineers, and drive best engineering practices
Optimize system performance, scalability, and security
Participate in technical decision-making and architecture discussions
Required Skills & Qualifications
8+ years of experience in software development
Strong proficiency in either Python or Node.js
Experience with Python frameworks like Django or FastAPI, or Node.js frameworks such as Express.js or NestJS
Good understanding of software architecture and system design principles
Understanding of coding standards, best practices, and code review processes
Familiarity with AI-assisted development tools and vibe coding concepts
Strong problem-solving and analytical skills
Knowledge of databases, APIs, and cloud-based applications
Ability to work independently in a fast-paced startup environment
Good to Have
Experience working on SaaS or multi-tenant platforms
Exposure to AI/ML-based systems or data-driven applications
Familiarity with Docker, Kubernetes, and containerization
Experience with CI/CD pipelines and DevOps practices
Job ID: 151286645
Skills:
.NET, SQL Server, Azure Cloud, Logging, Microservices, Github, Continuous Integration, Application Security, Kubernetes, Docker, PostgreSQL, Azure DevOps, Observability, Automated Unit Testing, Monitoring, SaaS platform development
Skills:
System Verilog, C, Python, Perl, Jira, Confluence, Git, Uvm
Skills:
PowerShell, PSM, Windows, Linux, Python, CPM, Conjur, Digital Vault, JIT Access, Zero Standing Privileges, Active Directory, Custom Plugin Development, ServiceNow Integration, PVWA, CyberArk PAM, REST API Integration
Skills:
Pyspark, Apache Spark, Azure Data Factory ADF, ETL pipelines using SSIS data models using SSAS and reports using SSRS, Python for data engineering, Microsoft Fabric, Azure Data Lake Storage ADLS, Data warehousing concepts and Medallion architecture, Microsoft BI MSBI stack including SQL Server SSIS SSAS and SSRS, Azure DevOps ADO source control CI CD pipelines, Power BI shared datasets DAX modeling visualization, Advanced SQL complex queries performance tuning ETL logic
Skills:
Gcp, Docker, Kubernetes, Python, AWS