10+ years of relevant experience in backend engineering, with a substantial focus on big data platforms
7+ years of professional experience with each of the following: Service-Oriented Architecture, Docker-based services, microservices, API, and Data Model Design or Implementation
Experience with Large-Scale Systems: Involvement in developing, monitoring, and maintaining large-scale, high-availability software systems
Experience designing and developing from a Security Perspective
Demonstrated experience in leading or playing key roles in significant software projects, showing an ability to work effectively both independently and as part of a team
Demonstrated expertise in designing, implementing, and maintaining (through operational observability) high-availability, high-performance, distributed data processing systems
Experience with gRPC and Protocol Buffers for efficient, language-agnostic service-to-service communication
Proven ability to deliver well-crafted, tested, and maintainable code solutions to complex technical challenges
Experience with a variety of software stacks including, but not limited to, JVM-focused tech stacks, particularly server-side Kotlin and gRPC
Deep expertise with both relational and non-relational data stores: Elasticsearch, Cassandra, MySQL, and PostgreSQL
Experience delivering data platform software solutions (including designing, implementing, and operating) in the cloud
Experience selecting and extending 3rd party components (commercial or open source) that provide operational leverage
Familiarity with Agile development methodologies and practices
Experience using feature or release toggles as a code branching strategy
Experience leveraging observability systems (logging, metrics, traces) to monitor and debug production subsystems and generate business-level metrics
Experience with algorithmically intensive data engines operating on streaming, large, or multi-tenant datasets
Experience with designing, modifying, and operating multi-tenant systems
Experience with tools such as Envoy or AWS App Mesh
Experience with CI/CD pipelines and tools (like Jenkins, GitLab CI, or CircleCI) for automated testing and deployment of microservices
Knowledge of microservices architecture principles, including decentralized data management, service discovery, and bounded contexts. Skilled in microservices technology stack, ability to optimize performance, and ensure security and scalability across the system
Skilled in containerization technologies such as Docker and orchestration tools like Kubernetes. Experience in creating, deploying, and managing containers
Skilled in implementing RESTful APIs for outward-facing services and using gRPC for efficient internal service-to-service communication
Ability to build backend systems that can support future UI/UX initiatives and performance requirements
Knowledge of system architecture, design patterns, and best practices in software development
Skilled at designing and operating software in a Cloud Provider, such as AWS, Azure, or GCP
Knowledge of both relational and non-relational data stores, Elasticsearch, Cassandra, MySQL, PostgreSQL
Skilled at analytical abilities and problem-solving, capable of addressing complex technical challenges
Skilled in programming languages and frameworks commonly used in SaaS development. In particular, Java/Kotlin, Python, C#, as well as a deep understanding of software engineering principles
Familiarity with server management, network configurations, and an understanding of cloud services (like AWS, Azure, or Google Cloud)
Knowledge of various stages of the SDLC, including design, development, testing, and deployment
Knowledge of async message or event based dataflow architectures (Kafka, etc)
Knowledge of design, implementation, and operation of data-intensive, distributed systems
Authorization to Work in the U.K.: Candidates must be legally authorized to work in the United Kingdom without sponsorship now or in the future. DISCO is not currently sponsoring visas