Director of Software Engineering Leader
2 days ago
We are seeking a Director of Software Engineering to lead our engineering team. This role requires a strategic and hands-on leader with deep expertise in Java and Amazon Web Services (AWS) with experience in modernizing platforms, cloud native migrations, and hybrid strategies.
Key Responsibilities:
- Technical Leadership: Define and implement best practices for Java-based architectures and scalable backend systems.
- Team Management: Lead, mentor, and grow a high-performing team of software engineers and engineering managers.
- Cloud & Infrastructure: Design, deploy, and optimize AWS-based solutions, leveraging services like EC2, Lambda, S3, RDS, DynamoDB.
- Performance & Scalability: Ensure high availability, security, and performance of distributed systems on AWS and in our data centers.
- APIs: Architect, design, and document Restful APIs as a product for both internal and external customers.
- Agile Development: Foster an engineering culture of excellence with focus on product delivery with quality and technological advantage.
- Technology Roadmap: Stay ahead of industry trends, identifying opportunities for modernization and innovation.
- Stakeholder Collaboration: Work closely with leadership, product, and operation teams to align engineering efforts with business goals.
Required Qualifications:
- Experience: 12+ years in software engineering, with at least 5 years in a leadership role.
- Technical Expertise:
- Strong background in Java, JDK, and its ecosystem.
- Hands-on expertise in both data center and AWS architectures, deployments, and automation.
- Strong experience with SQL/NoSQL databases (Oracle, PostgreSQL, MySQL, DynamoDB).
- Proficiency in RESTful APIs, event-driven architecture (Kafka, SNS/SQS), and service design.
- Strong grasp of security best practices, IAM roles, and compliance standards on AWS.
- Leadership & Strategy: Proven track record of scaling engineering teams and aligning technology with business goals.
- Problem-Solving Mindset: Ability to diagnose complex technical issues and optimize outcomes.
- Experience: Experience in high-scale SaaS applications using Java and AWS.
- Knowledge: Knowledge of AI/ML services on AWS (SageMaker, Bedrock) and data engineering pipelines.
- Agile & DevOps: Experience implementing DevOps pipelines, CI/CD, and Infrastructure as Code (Terraform, CloudFormation).
- Background: Background in fintech, e-commerce, or enterprise software is a plus.
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