SDE II Backend

5 days ago

Delhi, India SuperAGI Full time
About Us
SuperAGI is pioneering the future of Artificial General Intelligence with groundbreaking research and innovative AI products. Our mission is to transform the future of applications through intelligent, autonomous solutions that drive unparalleled efficiency and growth. We are building a world where AI and human intelligence collaborate seamlessly to achieve extraordinary outcomes. If you are passionate about AI and eager to be part of a team that is shaping the future, SuperAGI is the place for you.
Job description:
As a Software Development Engineer II, you'll be integral in developing, testing, and deploying high-quality software solutions. With expertise in multiple programming languages and best practices, you'll ensure scalable and maintainable code.
Desired Background:
You can design & implement scalable, resilient backend microservices
You can implement reliable monitoring stack for your services
You are familiar with AWS cloud ecosystem
You can plan, estimate, and own the deliveries of your project
You can collaborate with the engineering and product teams to deliver the right strategic and tactical goals for the business
Required Skills:
2-4 years of experience building backend microservices in a production environment.
Advanced proficiency in working with managed cloud providers, particularly AWS, and have experience designing, deploying, and maintaining cloud-native applications.
Deep expertise in backend development with the JVM stack, using Java, Kotlin, or other relevant technologies. You are also capable of guiding the team on architectural decisions, optimizing for performance, scalability, and maintainability.
Strong knowledge of monitoring stacks (Prometheus, Grafana, NewRelic, etc.), and the ability to design and implement effective observability strategies for large-scale distributed systems.
Extensive experience with the Kubernetes ecosystem, and the ability to manage, scale, and troubleshoot complex microservice architectures.
Expertise in selecting the right data structures, algorithms, and design patterns based on business requirements and system constraints, with a strong emphasis on optimization and efficiency.
In-depth experience working with relational and NoSQL databases (e.g., PostgreSQL, Redis, MySQL, DynamoDB), and designing robust, scalable data storage solutions.
Hands-on experience with messaging systems like Apache Kafka, and you are capable of designing and implementing event-driven architectures that scale.
Strong problem-solving and debugging skills, especially in production environments, with a focus on resilience and fault tolerance.

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