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A leading company in Enterprise Software Solutions is seeking a seasoned professional to lead a team of engineers. This role involves overseeing microservices support, engaging with AI technologies, and collaborating with internal departments to enhance service delivery. The ideal candidate will have extensive experience in software delivery, particularly with microservices architecture, and strong communication skills to articulate complex concepts effectively. The position offers a flexible remote work environment and a competitive salary.
Employer Industry: Enterprise Software Solutions
Why consider this job opportunity:
- Opportunity to lead and mentor a team of engineers in a fast-paced, innovative environment
- Engage with cutting-edge AI and microservices technologies to enhance service delivery
- Work remotely with a flexible work persona approach
- Collaborate with various internal departments to drive organizational efficiency
- Competitive salary and benefits package, including support for continuous learning and development
What to Expect (Job Responsibilities):
- Oversee and ensure high-performance support for deployed microservices, including AI/ML and integration services
- Collaborate with internal departments to understand business requirements and manage expectations
- Proactively monitor and troubleshoot service performance to ensure high availability
- Analyze incidents to identify root causes and develop technical solutions
- Prepare and communicate operational metrics to stakeholders
What is Required (Qualifications):
- 10+ years of professional software delivery experience, with a focus on Microservices architecture and support
- Strong proficiency in Java and/or Python
- Extensive experience with containerization technologies such as Docker and orchestration tools like Kubernetes
- Deep understanding of RESTful APIs and API gateway technologies
- Strong communication skills, with the ability to articulate complex technical concepts to diverse audiences
How to Stand Out (Preferred Qualifications):
- Experience leveraging AI in work processes, decision-making, or problem-solving
- Familiarity with CI/CD tools such as Jenkins and GitLab CI
- Knowledge of event-driven architectures and messaging systems like Kafka or RabbitMQ
- Experience with cloud platforms such as Azure or Google Cloud
- Team leadership experience with a focus on fostering a culture of continuous improvement
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