Platform Staff Engineer UK

The Staff Software Engineer (Platform) leads large-scale projects and is a key contributor to their groups success. They are involved in long-term strategic planning mentor senior engineers and are influential in technical decision-making across multiple teams or a department. They focus on implementation and system design as well as maintaining and evolving DISCOs distributed data platform.

• Technical Leadership and Mentorship: Provides technical leadership in project teams guiding engineers and contributing to technical decision-making. Sets technical direction for large projects or teams driving innovation and solving organization-wide problems.
• Performance Optimization: Focuses on designing systems for high performance scalability and reliability.
• Ownership: Proactively identifies areas of products and systems that currently have problems or will develop problems as well as makes plans to address those problems.
• Stakeholder Engagement: Works with stakeholders including product managers designers developers and executives to align architectural designs with business needs and customer expectations.
• Software Development: Designs develops and maintains sophisticated scalable high-performance data software solutions ensuring they are efficient scalable and meet business
  equirements with architectural excellence for our big data platform at petabyte scale. Responsible for the boundary identification system design and grooming for one or more sub-systems.
• Code Quality and Optimization: Upholds and enhances code quality through rigorous review processes optimization techniques and adherence to best practices.
• Technical Problem Solving: Addresses intricate technical issues through innovative problem-solving strategies.
• Collaboration and Communication: Works effectively within the engineering team and cross-functional teams collaborating with other engineers product managers and stakeholders contributing to project planning and execution.
• Continuous Learning and Adaptation: Stays updated with the latest technology trends and advancements continually enhancing skills and knowledge bringing innovative ideas to the team.
• Technical Documentation: Creates and maintains comprehensive technical documentationensuring clarity and accessibility of information.
• Data Platform Development: Builds and maintains scalable and robust data platforms to support analytics machine learning and business intelligence.
• Data Integration and ETL: Develops and optimizes ETL (Extract Transform Load) processes and data integration pipelines. Ensures efficient data flow across various sources and systems.
• Advanced File Processing: Develops extensible file processing pipelines that offer flexible self-service artifact generation. Researches and evaluates file processing software based on fidelity reliability and performance criteria. Models file processing outcomes within an observability framework to provide insights for engineering teams and business leaders. Develops engineering systems that facilitate rapid and automatic evaluation of file processors.
• Data Management: Crafts and orchestrates scaleout data pipelines that optimize serverless andcontainerized compute to balance cost latency and duration for big-data solutions. Contributes toalgorithmically intensive data engines operating on streaming large or multi-tenant systems identify root causes and rectify bugs.

• 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.

Even Better If You Have...

• 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 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.

• Open inclusive and fun environment
• Benefits including medical and dental insurance
• Competitive salary plus discretionary bonus
• Competitive salary plus RSUs
• Opportunity to be a part of a startup that is revolutionizing the legal industry
• Growth opportunities throughout the company

DISCO provides a cloud-native artificial intelligence-powered legal solution that simplifies ediscovery legal document review and case management for enterprises law firms legal services providers and governments. Our scalable integrated solution enables legal departments to easily collect process and review enterprise data that is relevant or potentially relevant to legal matters.

At DISCO we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency improve outcomes and continuously evolve how they operate in their role.

Are you ready to help us fulfill our mission to use technology to strengthen the rule of law Join us!

We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status.