Senior Software Engineer (Platform)
Gurugram, Haryana, India
DISCO
DISCO is an intuitive platform for music management, collaboration, and sharing. Start your free trial today!Your Impact
The Senior Software Engineer (platform) is a senior engineer responsible for subsystems of a project. They lead epics/initiatives, mentor more junior engineers, and contribute to architectural decisions. They have a substantial impact on their team and sometimes across teams. They design and develop high-quality, scalable, and innovative software solutions in a SaaS environment, utilizing cutting-edge technologies and methodologies, and ensuring they meet the current and future needs of the business and its customers
What You'll Do
- Technical Leadership and Mentorship: Provides technical leadership in project teams, mentors and guides more junior engineers, and contributes to technical decision-making. ● Performance Optimization: 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 Optimization: Upholds and enhances code quality through rigorous review processes, optimization 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 a 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 optimizes ETL (Extract, Transform, Load) processes and data integration pipelines. Ensure efficient data flow across various sources and sys
- Advanced File Processing: Develops extensible file processing pipelines that offer free self-service artefact generation. Researches and evaluates file processing software based on idelity, 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 minimally manual evaluation of file processor
- Data Management: Orchestrates scaleout data pipelines that optimize serverless and containerized computing to balance cost, latency, and duration. Contributes to algorithmically intensive data engines operating on streaming, large, or multi-tenant datasets. Troubleshoot systems, identify root causes and rectify bugs.
Who You Are
- 7-10+ years of relevant experience in software development, with a focus on SaaS or cloud-based applications.
- 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 leading or playing key roles 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 Large-Scale Systems: Involvement in developing, maintaining, and monitoring large-scale, high-availability software systems
- Experience with designing and developing from a Security Perspective
- Experience leveraging observability systems (logging, metrics, traces) to monitor and debug production subsystems and generate business-level metrics
- 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 gRPC and Protocol Buffers for efficient, language-agnostic service-to-se communication
- Experience with Contract-first designing and negotiating with other system
- Experience contributing to technical documentation
Even Better If You Have...
- Knowledge of ElasticSearch, NoSql Stores, Kafka, Columnar Databases, DataFlow or Pipeli Systems
- Knowledge of Design, implementation, and operation of data-intensive, distributed system
- Proficiency in containerization technologies such as Docker and orchestration tools like Kubernetes. Experience in creating, deploying, and managing containers is essential
- Experience with CI/CD pipelines and tools (like Jenkins, GitLab CI, or CircleCI) for automated testing and deployment of microservices
- Proficient in designing and architecting microservices systems, including advanced concepts like distributed data management and event-driven architectures. Expertise in implementing complex microservices, advanced use of containerization and orchestration, and setting up CI/CD pipelines for microservices.
- Knowledge of system architecture, design patterns, and best practices in software development.
- Strong skills in designing and operating software in a Cloud Provider, such as AWS, Azure, or GCP
- Skilled with 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 collaborating effectively in a dyn and collaborative environment with various stakeholders and team members, especially from
architectural perspectives. - 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.
- Skilled in designing and developing APIs (including gRPC, GraphQL, and REST), basic understanding of HTTP/HTTPS protocols, and proficiency in API documentation
- Understanding of Server, Network, and Hosting Environments: Familiarity with server management, network configurations, and an understanding of cloud services (like AWS, Azure, or Google Cloud).
- Understanding of Software Development Life Cycle (SDLC): Knowledge of various stages of the SDLC, including design, development, testing, and deployment.
Perks of DISCO
- Open, inclusive, and fun environment
- Benefits, including medical and dental insurance
- Competitive salary plus discretionary bonus
- Opportunity to be a part of a startup that is revolutionizing the legal industry
- Growth opportunities throughout the company
About DISCO
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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture AWS Azure Business Intelligence CI/CD Dataflow Data management Data pipelines Docker Elasticsearch Engineering ETL GCP GitLab Google Cloud GraphQL Java Jenkins Kafka Kubernetes Machine Learning Microservices Model design NoSQL Open Source Pipelines Python RDBMS SDLC Security Streaming Testing
Perks/benefits: Career development Competitive pay Insurance Startup environment
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