Analyze feature specifications, develop test cases, leverage AI to improve test capabilities, set up and maintain lab/test environments, execute and automate test plans, diagnose and reproduce complex system issues, support test automation, vulnerability scanning, and reporting, assist in product demo creation, adhere to QA practices and contribute to process improvement.
Compensation
Nokia maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role.
Responsibilities
Analyze feature specifications and develop test cases
Leverage AI for improving test capabilities
Set up, configure, and maintain lab/test environments
Execute and automate test plans using scripting tools (e.g., Python)
Diagnose and reproduce complex system issues
Requirements
Bachelor’s or master’s degree in computer science, Computer Engineering, Electrical Engineering, or a related field at an accredited university in the U.S.
Creates and communicates technical solutions to address business problems, working with IT and Business Leadership to promote innovative solutions across the SDLC.
AI Software Development Specialist focused on implementing AI functionalities (LLMs, RAG, agents), building supporting microservices, and managing production aspects.
Responsibilities
Implement AI functionalities in products: integrations with LLMs, RAG, agents, semantic search, classification, and data extraction from documents.
Build the services that support these functionalities: APIs, microservices, queues, ingestion and indexing pipelines, integration with vector databases.
Address production aspects: error handling and fallbacks between models, caching, cost and latency control, observability, and security (sensitive data, prompt injection).
Create tests and evaluations (evals) to measure response quality and avoid regressions.
Develop automations and agents for internal processes, integrated with existing systems.
Seeking a Full-stack Software Engineer to join the Navigator Platform Team to revolutionize the fintech landscape by enhancing Auto Navigator and Lead Navigator platforms using cutting-edge open source frameworks.
Compensation
Plano, TX: $209,000 - $238,500 for Full-stack Engineer 5
Responsibilities
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
Provide technical leadership across multiple teams, shaping system architecture and long-term technology direction.
Requirements
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Contribute to the design, development, and maintenance of backend services and APIs that power WHOOP’s core product experiences.
Compensation
The U.S. base salary range for this full-time position is $105,000 - 145,000.
Responsibilities
Contribute to the development and maintenance of backend services and APIs that power WHOOP’s member-facing features using technologies such as Java, Kafka, Postgres, and AWS.
Collaborate with cross-functional partners across Product, Design, Data Science, and Engineering to translate requirements into well-scoped technical solutions.
Write clean, maintainable, and well-tested code while participating in code reviews to continuously improve engineering quality and standards.
Support the operation and monitoring of production systems, helping to troubleshoot issues and ensure reliability, scalability, and performance.
Break down feature requirements into actionable tasks, identify risks early, and iterate quickly to deliver value to members.
Develops and executes automated and manual tests for all aspects of Ignition, validating and verifying new features across desktop, web, API, and mobile platforms.
Responsibilities
Validating low to medium complexity bugs and features
Occasionally working on higher complexity issues with guidance from Senior Quality Assurance Engineers
Contributing fixes and new tests to automated test suites
Performing PR reviews of automated tests submitted by other team members
Assisting with the monitoring of nightly automation run reports
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