Duties and Responsibilities
- Lead the design, development, and deployment of scalable backend services and APIs for cloud-based applications.
- Architect and implement microservices and serverless solutions using programming languages like Go.
- Ensure backend services are highly performant, scalable, and resilient, with a focus on meeting SLAs and minimizing downtime.
- Identify and resolve performance bottlenecks in backend services, optimizing for speed, reliability, and cost-efficiency.
- Implement strategies for database optimization, including schema design, indexing, and query tuning for SQL and NoSQL databases.
- Scale backend systems to handle increasing loads, ensuring consistent performance under heavy traffic and data processing demands.
- Lead the implementation of security best practices, including encryption, authentication, and secure API development.
- Provide technical leadership and mentorship to junior engineers, promoting best practices in cloud backend development and architecture.
- Lead code reviews, design sessions, and architectural discussions, fostering a culture of continuous improvement and technical excellence.
- Stay updated on the latest advancements in cloud computing, backend development, and related technologies, and apply them to drive innovation.
- Work closely with front-end developers, product managers, and other stakeholders to translate business requirements into scalable backend solutions.
- Communicate complex technical concepts to non-technical stakeholders, ensuring alignment on project goals and timelines.
- Collaborate across teams to ensure seamless integration of backend services with front-end applications and other systems.
Qualifications and Experience
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- 8+ years of experience in backend development.
- Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud, including cloud-native services.
- Proficiency in backend programming languages (e.g., Go, Java, Scala, Rust) and microservices architecture.
- Strong understanding of cloud infrastructure, containerization (e.g., Docker), and orchestration (e.g., Kubernetes).
- Expertise in designing and implementing RESTful and GraphQL APIs, as well as serverless architectures.
- Deep knowledge of database systems, including both SQL and NoSQL databases, with experience in database optimization.
- Experience working with distributed systems like Kafka, RabbitMQ, etc
- Strong leadership abilities, with a track record of mentoring and guiding engineering teams.
- Excellent problem-solving skills, with a keen attention to detail and a focus on delivering high-quality solutions.
- Effective communication skills, capable of articulating technical concepts to both technical and non-technical audiences.
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