Senior Software Engineer - Database
To see similar active jobs please follow this link: Remote Development jobs
About the position:
Want to build the next-generation of mesh network technology?
Your role is to help build the future of cloud database technology at Ditto that aggregates all the data from the edge platform with a custom, scalable, high-performance distributed system. You will work on both new features and optimizing existing infrastructure to ensure reliability and performance at scale.
Work with a remote team, manage your own time, and tackle interesting problems. Ditto is an equal opportunity employer with people from many different cultures and countries. We celebrate diversity and are committed to building a team that represents a variety of backgrounds, skill sets, and perspectives, and to providing our employees with a rewarding and inclusive work environment.
As a Senior Software Engineer - Big Peer, you will:
Design, build, and maintain highly available and performant distributed systems.
Develop, optimize, and maintain infrastructure that supports Ditto’s peer-to-peer technology, focusing on scaling data synchronization.
Design and maintain high-performance, consistent caches and proxies to bridge Big Peers and Small Peers in the network.
Ensure data consistency and system performance by implementing correctness and load tests.
Collaborate with the SRE team to monitor, debug, and optimize distributed systems in production environments.
Write technical documentation, and contribute to system architecture designs.
Drive performance tuning efforts to ensure systems meet the demands of large-scale, distributed environments.
Participate in on-call rotations, partnering with the SRE team to manage production systems and meet uptime SLAs.
What you’ll need:
Bachelor’s degree in Computer Science or a related field.
2-5 years of experience in software engineering, with a focus on distributed systems and low-level programming languages like Rust and/or modern C/C++.
Experience with cloud platforms (AWS, GCP, Azure), containerization technologies (Docker, Kubernetes), and large-scale distributed systems.
Strong knowledge of algorithms, data structures, and performance optimization techniques.
Excellent communication skills, especially in asynchronous collaboration.
Experience with on-call rotations and incident response tools and procedures.
Ability to work effectively in a globally distributed team.
Nice to haves:
Familiarity with storage engines like RocksDB or messaging systems like Kafka.
Familiarity with Conflict-free Replicated Data Types (CRDTs)
Experience with monitoring tools such as Prometheus or Grafana.
Experience building data systems at scale.
About the job
Senior Software Engineer - Database
To see similar active jobs please follow this link: Remote Development jobs
About the position:
Want to build the next-generation of mesh network technology?
Your role is to help build the future of cloud database technology at Ditto that aggregates all the data from the edge platform with a custom, scalable, high-performance distributed system. You will work on both new features and optimizing existing infrastructure to ensure reliability and performance at scale.
Work with a remote team, manage your own time, and tackle interesting problems. Ditto is an equal opportunity employer with people from many different cultures and countries. We celebrate diversity and are committed to building a team that represents a variety of backgrounds, skill sets, and perspectives, and to providing our employees with a rewarding and inclusive work environment.
As a Senior Software Engineer - Big Peer, you will:
Design, build, and maintain highly available and performant distributed systems.
Develop, optimize, and maintain infrastructure that supports Ditto’s peer-to-peer technology, focusing on scaling data synchronization.
Design and maintain high-performance, consistent caches and proxies to bridge Big Peers and Small Peers in the network.
Ensure data consistency and system performance by implementing correctness and load tests.
Collaborate with the SRE team to monitor, debug, and optimize distributed systems in production environments.
Write technical documentation, and contribute to system architecture designs.
Drive performance tuning efforts to ensure systems meet the demands of large-scale, distributed environments.
Participate in on-call rotations, partnering with the SRE team to manage production systems and meet uptime SLAs.
What you’ll need:
Bachelor’s degree in Computer Science or a related field.
2-5 years of experience in software engineering, with a focus on distributed systems and low-level programming languages like Rust and/or modern C/C++.
Experience with cloud platforms (AWS, GCP, Azure), containerization technologies (Docker, Kubernetes), and large-scale distributed systems.
Strong knowledge of algorithms, data structures, and performance optimization techniques.
Excellent communication skills, especially in asynchronous collaboration.
Experience with on-call rotations and incident response tools and procedures.
Ability to work effectively in a globally distributed team.
Nice to haves:
Familiarity with storage engines like RocksDB or messaging systems like Kafka.
Familiarity with Conflict-free Replicated Data Types (CRDTs)
Experience with monitoring tools such as Prometheus or Grafana.
Experience building data systems at scale.