We are seeking a highly skilled and innovative Lead Software Engineer with a strong focus on automation and solid track record of solution engineering. The ideal candidate will have deep expertise in designing, developing, and deploying advanced software solutions. This role will drive the adoption of cutting-edge technologies and automation strategies to enhance operational stability and efficiency across our systems.

Job Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Lead a team of high-potential software engineers, delivering high quality software that achieves functional objectives
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Establish and promote best practices in performance testing and automation throughout the organization.
• Write secure, high-quality production code and review/debug code from other team members.
• Stay up-to-date with emerging technologies and industry trends to drive innovation and continuous improvement.
• Analyze test results, document testing activities, and track software defects.
• Implement data governance and best practices to ensure data quality and compliance with organizational standards
• Communicate project status clearly and manage priorities when handling multiple tasks.
• Collaborate within a Scrum team, participate in Agile activities, and support a culture of diversity, equity, and inclusion.
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, and Skills

• Formal training or certification in software engineering, with 6+years of experience.
• Strong system design, application development, and operational stability skills.
• Advanced proficiency in programming languages (Java, Python, C#, etc.)
• Experience with distributed systems and cloud platforms (AWS, GCP, Azure).
• Expertise in microservices, RESTful APIs, and database technologies (relational/NoSQL).
• Familiarity with containerization tools (Docker, Kubernetes, Helm).
• Experience with performance testing tools (JMeter, Blazemeter) and Chaos Monkey Testing.
• Skilled in development and testing tools (JUnit, Groovy, Postman, REST Assured, Eclipse, Maven, Jenkins, IntelliJ).
• Effective communication across teams and management, with a proactive approach to process improvement.
• Formal training or certification on Software Engineering concepts.
• Exposure to building AI/ML driven applications to drive business goals.

Preferred Qualifications, Capabilities, and Skills

• Cloud certification (AWS, GCP, Azure).
• Practical cloud-native development experience.
• Working knowledge of one or more Messaging technologies, preferably Apache Kafka
• Develop RESTful APIs and ensure smooth integration across internal and external services.