Build, lead, coach, and develop engineering teams while fostering a culture of innovation, accountability, and continuous learning.
Provide technical guidance through architecture reviews, code reviews, design reviews, and mentoring.
Partner with senior stakeholders to define technology roadmaps and delivery plans.
Oversee application support, incident management, root cause analysis, and platform stability.
Required Technical Skills
13+ years of software engineering experience with strong Java expertise.
Strong experience with Spring Boot, REST APIs, Microservices, Kafka or similar messaging platforms.
Expertise in relational databases such as Oracle, PostgreSQL, or Mongo.
Proven experience in database performance, tuning, and optimization.
Experience with Kubernetes, containers, CI/CD pipelines, Git, and DevOps practices.
Working knowledge of AI technologies, Generative AI, machine learning concepts, AI agents, LLMs, prompt engineering, and AI development tools.
Experience integrating AI capabilities into enterprise applications.
Strong understanding of cloud platforms and distributed systems.
Leadership Expectations
Lead teams of developers, engineers, and technical specialists.
Establish engineering standards, governance, and best practices.
Provide career coaching, performance feedback, and talent development.
Drive delivery excellence across multiple concurrent initiatives.
Act as a trusted advisor to business and technology leadership.
Education & Qualifications
Bachelor's degree in computer science, Engineering, or related field. Advanced degree preferred.
Job Family Group
Technology
Job Family
Applications Development
Time Type
Full time
- Most Relevant Skills
- Please see the requirements listed above.
- Other Relevant Skills
- For complementary skills, please see above and/or contact the recruiter.
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