Associate level Software Engineer working on the Metrics and Analytics Platform Engineering team at Goldman Sachs, building and operating applications that process large volumes of data across the firm.
Responsibilities
Develop and maintain software applications for data processing and analytics
Performance tune applications to improve memory and CPU utilization
Facilitate robust utilization of the firm's application and data platform capabilities
Design and support batch and streaming processes for data validation, enrichment, and integration
Oversee junior technical team members in SDLC activities
Requirements
Bachelor's degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline
Seeking a highly experienced, hands-on Senior Technical Consultant with deep expertise in SOR, SOT and the wider Record Keeping Platform (RKP) to take technical ownership of complex platform changes, lead detailed solution design, and provide specialist guidance.
Locations (2)
Gurgaon, India
London, England, United Kingdom
Responsibilities
Act as a senior technical subject matter expert for SOR, SOT and the wider Record Keeping Platform (RKP)
Lead end-to-end technical solution design and architecture documentation for complex platform enhancements, regulatory changes and business requirements
Perform detailed technical impact analysis across application code, databases, batch processes, business rules, interfaces and upstream/downstream system dependencies
Remain actively involved in hands-on engineering, including Java/SQL development, code analysis, debugging, technical prototyping, code reviews and implementation of critical changes
Provide specialist expertise in relational databases, complex SQL, stored procedures, query optimisation, data structures and application performance tuning
Own the end-to-end development of analytics solutions with AI elements for Ikano Retail business functions, helping teams make smarter, faster, data-informed decisions.
Responsibilities
Partner with business stakeholders to understand needs, define requirements and translate them into analytics use cases
Design, build, test and deploy end-to-end analytics solutions – from data sourcing and modeling to dashboards, reports and automated workflows
Embed AI elements into solutions, such as forecasting, anomaly detection, Copilot features, and natural-language insights, to move from reporting to actionable insights
Develop and maintain Power BI data models, reports and dashboards that are accurate, user-friendly and performant
Automate business processes and data flows using Microsoft Power Automate
Design, develop, and implement scalable and efficient data pipelines using AWS services (e.g., S3, EC2, ECS, Aurora). Write high-quality, maintainable Python code for data extraction, transformation, and loading (ETL) and Machine leaning / AI (LLM) processes.
Responsibilities
Design, develop, and implement scalable and efficient data pipelines using AWS services (e.g., S3, EC2, ECS, Aurora)
Write high-quality, maintainable Python code for data extraction, transformation, and loading (ETL) and Machine leaning / AI (LLM) processes
Develop and integrate with Web Services, Micro Services, and APIs to ingest and expose data from various internal and external sources
Implement robust Data Engineering solutions, including data modeling, database design, and data warehousing
Optimize data storage, retrieval, and processing for performance and cost-efficiency on AWS
Own uptime, performance, and incident response for Handoff’s contractor and supplier products, ensuring reliability and scalability as the platform grows.
Locations (3)
São Paulo, São Paulo, Brazil
Austin, Texas, United States
Buenos Aires, Buenos Aires, Argentina
Responsibilities
Define and track core reliability metrics and SLOs
Designs, develops, tests, deploys, and supports cloud-based software for connected-device solutions. Independently owns moderately complex features and services from technical design through production deployment and operational support.
Responsibilities
Own the design, implementation, testing, deployment, and production support of backend services, RESTful APIs, and cloud components supporting connected products and customer-facing applications.
Develop high-quality software using C#/.NET and established engineering patterns, coding standards, automated testing, and code-review practices.
Design and implement integrations with databases, event streams, messaging systems, queues, storage, and other cloud-platform components.
Translate product and system requirements into maintainable technical solutions; clarify ambiguity and identify dependencies, risks, and operational considerations early.
Design solutions for moderately complex features and services, evaluate technical tradeoffs, and contribute to architectural decisions within the broader platform architecture.
Lead Developer responsible for designing and owning complex, highly scalable backend architectures, leading the implementation of complex software solutions across the entire Software Development Lifecycle.
Responsibilities
Take technical responsibility for backend architectures
Design and optimize Microservices architectures, event-driven systems, and highly available distributed systems
Act as technical contact for the team
Mentor Junior and Mid-Level developers through code reviews and pair programming
Contribute to architecture decisions, technology evaluations, and project strategies
Requirements
Degree in Computer Science, Business Informatics, or comparable qualification through extensive professional experience
Lead the design and implementation of next-generation workflow engines for sample logistics and AI-augmented drug discovery processes at Roche Innovation Center Basel.
Responsibilities
Scope, design and engineer an interconnected next-generation business workflow engine
Develop solutions to lower technical barriers for sample, data and information transfer
Support compliance workflows in sample and data management
Partner with automation engineers and laboratory staff to generate business dashboards
Shape and drive transition to AI-based software development
Requirements
Bachelor's or Master's degree in computer science, cheminformatics, life science or related field
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