Senior Software Engineer - Launch Darkly Integration
Job Description
Qode is seeking a Senior Software Engineer specialized in LaunchDarkly integration to join their team. This role focuses on feature flag management and implementation across their systems. The position requires an experienced professional with 7+ years of software development experience who will be responsible for designing and implementing feature flag strategies, managing integrations, and ensuring smooth deployment processes. The ideal candidate will have strong expertise in LaunchDarkly, proficiency in various programming languages, and experience with cloud platforms and CI/CD pipelines. This role offers an opportunity to work with modern technologies and shape the feature deployment strategy of the organization. The position involves collaboration with multiple teams and requires both technical expertise and leadership in implementing best practices for feature flag management. Based in either Hyderabad or Gurgaon, India, this full-time role combines technical depth with strategic implementation of feature management solutions.
Responsibilities For Senior Software Engineer - Launch Darkly Integration
- Integrate LaunchDarkly with existing applications, services, and pipelines
- Design and implement scalable feature flag strategies to support A/B testing, canary releases, and gradual rollouts
- Collaborate with development, QA, DevOps, and product teams to ensure smooth adoption of feature flagging
- Build and maintain automated pipelines integrating LaunchDarkly for continuous delivery and deployment
- Provide governance and best practices around flag lifecycle management, cleanup, and monitoring
- Troubleshoot integration issues, optimize performance, and ensure system reliability
- Train teams on using LaunchDarkly effectively for feature rollouts
Requirements For Senior Software Engineer - Launch Darkly Integration
- 7+ years of overall software development / DevOps experience
- Strong hands-on experience with LaunchDarkly or other feature flagging tools
- Proficiency in programming languages such as Java, .NET, Python, or Node.js for integration
- Good knowledge of CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps, etc.)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Strong understanding of microservices, APIs, and event-driven architectures
- Familiarity with monitoring and logging tools (Datadog, Splunk, ELK, etc.)
- Excellent problem-solving and collaboration skills
- Knowledge of A/B testing frameworks and experimentation strategies
- Experience with infrastructure as code (Terraform, CloudFormation)
- Exposure to Kubernetes / Docker environments
