A
Aziro
Associate Director - Python & Go
Skills
Google Cloud PlatformDockerPythonGolangTesting & QAMicroservicesAIAWSKubernetesAzure
12 days ago
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Important information
Contract type:
Permanent
Location:
Pune, Maharashtra, India
Work mode:
Hybrid
Published on:
8 October 2026
What they need
Associate Director Python & Go
Job Summary
- 15+ years of experience in enterprise software/application development.
- Strong hands-on expertise in Python and/or Go/Golang.
- Experience developing scalable, highly available, distributed enterprise systems.
- Strong understanding of REST APIs, microservices, databases, cloud and cloud-native technologies.
- Experience across development, QA automation, CI/CD, cloud deployment, observability and production support.
- Exposure to AI/GenAI-assisted software development and automation.
Key Responsibilities
- Design and develop enterprise applications, platforms, APIs and microservices using Python/Go.
- Build scalable and reliable distributed systems and cloud-native applications.
- Develop API, integration, regression and end-to-end test automation.
- Design and maintain CI/CD pipelines for build, testing, security and deployment.
- Deploy and support applications across AWS/Azure/GCP, Docker and Kubernetes environments.
- Implement logging, monitoring, observability and performance optimization.
- Troubleshoot complex application, database, infrastructure and production issues.
- Drive automation and productivity improvements using AI/GenAI tools and LLM-based solutions.
- Participate in architecture, design, code reviews and technical solution development.
- Ensure security, scalability, reliability and maintainability of enterprise systems.
Technical Leadership
- Provide technical leadership across Development, QA, Cloud, DevOps and AI engineering teams.
- Lead architecture and system-design discussions for complex enterprise platforms.
- Review code, technical designs, APIs, automation frameworks and CI/CD solutions.
- Drive technical initiatives from design through production deployment.
- Mentor engineers and establish coding, testing and engineering best practices.
- Lead RCA and resolution of critical production issues.
- Identify opportunities for modernization, automation, cloud adoption and AI-assisted engineering.
- Collaborate with Product, Engineering, QA, Security, Cloud and Operations teams to deliver enterprise solutions.
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