2 months ago
London, United KingdomStaff+
Responsibilities
- Lead technical direction, architecture, and implementation for large-scale platform projects and subsystems.
- Mentor engineers and contribute to technical decision-making across multiple teams or a department.
- Design, develop, optimize, and operate scalable, high-performance distributed data-platform software at petabyte scale.
- Build and optimize ETL, data-integration, streaming, scale-out, serverless, and containerized data pipelines.
- Develop extensible file-processing pipelines, artifact-generation systems, observability models, and automated file-processor evaluation systems.
- Design and operate high-availability, multi-tenant, algorithmically intensive data engines and services.
- Identify system risks and problems, troubleshoot root causes, and implement durable solutions.
- Collaborate with product managers, designers, engineers, executives, and other stakeholders on architectural and business needs.
- Maintain code quality through design reviews, code reviews, testing, optimization, and technical documentation.
Requirements
- 10+ years of relevant backend engineering experience with substantial focus on big-data platforms.
- 7+ years of professional experience with service-oriented architecture, Docker-based services, microservices, APIs, and data-model design or implementation.
- Experience developing, monitoring, and maintaining large-scale, high-availability software systems.
- Experience designing and developing software from a security perspective and leading significant software projects.
- Expertise designing, implementing, and operating high-availability, high-performance distributed data-processing systems with operational observability.
- Experience with gRPC and Protocol Buffers for language-agnostic service-to-service communication.
- Experience with JVM-focused server-side technology stacks, particularly Kotlin and gRPC.
- Deep expertise with Elasticsearch, Cassandra, MySQL, and PostgreSQL.
- Experience delivering, operating, and designing cloud-based data-platform software solutions.
- Experience with observability systems, feature or release toggles, multi-tenant systems, and algorithmically intensive data engines.
- Experience with Envoy or AWS App Mesh.
- Experience with CI/CD pipelines and tools such as Jenkins, GitLab CI, or CircleCI.
- Preferred experience with Kubernetes, RESTful APIs, AWS, Azure, GCP, Java, Python, C#, Kafka, server management, and network configuration.
- Must be legally authorized to work in the United Kingdom without current or future sponsorship.
Benefits
- Medical and dental insurance.
- Competitive salary, discretionary bonus, and RSUs.
- Open, inclusive, and fun work environment.
- Opportunity to work at a startup revolutionizing the legal industry.
- Growth opportunities throughout the company.
Tech Stack
AmbassadorApache CassandraApache KafkaAWSAzureC#CircleCIDockerElasticsearchGitLab CI/CDGoogle CloudGoogle Cloud PlatformgRPCJavaJenkinsKotlinKubernetesMySQLPostgreSQLPython
Categories
BackendData Engineering
About DISCO
DISCO builds a cloud-native, AI-assisted eDiscovery and case management platform for law firms, corporate legal departments, legal service providers, and governments, complemented by professional services such as document review and digital forensics. It sells primarily via SaaS subscriptions with services. Founded in 2013 and headquartered in Austin, Texas, DISCO is a public company listed on the NYSE.