Senior Software Engineer - India

The Senior Software Engineer is responsible for project subsystems. They lead epics/initiatives, mentor more junior engineers, and contribute to architectural
decisions. They have a substantial impact on their team and, at times, across teams. They design and develop high-quality, scalable, and innovative software solutions in a SaaS environment, utilising cutting-edge technologies and methodologies, and ensuring they meet the current and future needs of the business and its customers

• →Technical Leadership and Mentorship: Provides technical leadership in project teams, mentors and guides more junior engineers, and contributes to technical decision-making.
• →Performance Optimisation: Focuses on designing systems for high performance, scalability, and reliability.
• →Stakeholder Engagement: Works with stakeholders, including product managers, designers, developers, and executives, to align architectural designs with business needs and customer expectations.
• →Proficient Software Development: Designs, develops, and maintains sophisticated software solutions, ensuring they are efficient, scalable, and meet business requirements with architectural excellence. Responsible for System Design & Grooming for features for a subsystem.
• →Code Quality and Optimisation: Upholds and enhances code quality through rigorous review processes, optimisation techniques, and adherence to best practices.
• →Technical Problem Solving: Tackles complex technical challenges, employing a problem-solving approach with innovative solutions.
• →Collaboration and Communication: Works effectively within the engineering team and cross-functional teams, collaborating with other engineering teams, 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 documentation, ensuring clarity and accessibility of information.
• →Data Platform Development: Designs, builds, and maintains scalable and robust data platforms to support analytics, machine learning, and business intelligence.
• →Data Integration and ETL: Develops and optimises ETL (Extract, Transform, Load) processes and data integration pipelines. Ensure efficient data flow across various sources and systems
• →Advanced File Processing: Develops extensible file processing pipelines that offer free self-service artefact generation. Researches and evaluates file processing software based on fidelity, reliability, and performance criteria. Models file processing outcomes within the observability framework to provide insights for engineering teams and business leaders. Develops engineering systems that facilitate rapid and minimally manual evaluation of file processor
• →Data Management: Orchestrates scale-out data pipelines that optimise serverless and containerised compute to balance cost, latency, and duration. Contributes to algorithmically intensive data engines operating on streaming, large, or multi-tenant datasets. Troubleshot systems, identified root causes, and rectified bugs.

• 7-10 years of experience in software development, with a demonstrated track record in SaaS or similar environments.
• 5+ years of professional experience with each of the following: Service Oriented Architecture, Docker-based services, micro-services, API and Data Model Design or Implementation;
• Experience in playing key roles (for example: development, testing, design, product interfacing, etc) in significant software projects, showing an ability to work effectively both independently and as part of a team. Other preferred experience for the position, including length and in what capacity (e.g., operational, management level).
• Experience with developing and maintaining large-scale, high-availability software systems
• Experience with gRPC and Protocol Buffers for efficient, language-agnostic service-to-service communication
• Experience with designing and developing from a Security Perspective
• Experience selecting and extending 3rd party components (commercial or open source) that provide operational leverage
• Experience with Continuous Integration and Continuous Deployment (CI/CD) with an emphasis on a well-maintained testing pyramid
• Experience with Agile development methodologies and practices.
• Experience using feature or release toggles as a code branching strategy
• Experience with Contract-first designing and negotiating with other systems
• Experience contributing to technical documentation

• Knowledge of ElasticSearch, NoSql Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems
• Knowledge of Design, implementation, and operation of data-intensive distributed systems
• Understanding of microservices design patterns and principles, with experience in developing microservices using containerized tools like Docker
• Knowledge of system architecture, design patterns, and best practices in software development.
• Skilled in designing and operating software in a Cloud Provider, such as AWS, Azure, or GCP
• Skilled in cloud-based data storage, such as: Relational Databases, NoSQL Stores, data caches, etc.
• Skilled in analytical abilities and problem-solving, capable of addressing complex technical challenges.
• Ability to adapt to new technologies and methodologies, and a mindset geared towards innovation and continuous improvement.
• Effective communication and teamwork skills, essential for working in a dynamic and collaborative environment with various stakeholders and team members.
• Skilled in programming languages and frameworks commonly used in SaaS development. In particular, Java/Kotlin, Python, C#.
• Skilled in designing and developing APIs (including gRPC, GraphQL, and REST), basic understanding of HTTP/HTTPS protocols, and proficiency in API documentation. 
• 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.

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.