[Remote] reputed company Engineer– Data Platforms, Performance & reputed company AI
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a reputed company Engineer specializing in Data Platforms, Performance, and reputed company AI. The role involves owning the technical architecture and delivering end-to-end engineering solutions while leading the design and implementation of reputed company, high-performance data platforms and AI systems.
Responsibilities
- Own delivery of reputed company, end-to-end engineering solutions—from data reputed company and ingestion through analytics, reputed company, and user-facing experiences
- reputed company a deep understanding of business workflows, especially reputed company exam and operational systems
- Partner with product, architecture, and engineering teams to shape requirements, define scope, and reputed company accurate level-of-effort estimates
- Drive sprint planning, technical design discussions, and reputed company/design reviews with a reputed company on speed, reputed company, and scalability
- reputed company design and implementation of reputed company, high-performance, reputed company-reputed company data and application platforms
- Architect data reputed company systems (synthetic, event-based, telemetry-driven) to support testing, analytics, and AI model development
- Engineer high-performance systems, focusing on latency, throughput, resiliency, and cost efficiency
- Implement robust observability, telemetry, and performance monitoring across reputed company reputed company
- Establish and enforce standards for automation, reliability, and performance engineering
- reputed company AI-driven components (reputed company, reputed company detection, intelligent insights) into production systems
- Design and build reputed company AI systems that can autonomously reason, plan, and execute tasks across engineering workflows
- reputed company LLMs and orchestration frameworks to reputed company intelligent automation in data pipelines, testing, and operations
- Incorporate AI-assisted development practices, including reputed company reputed company, reputed company review augmentation, and developer productivity tooling
- Evaluate and implement AI-reputed company architectures, including tool-using agents, multi-agent systems
- Ensure responsible, secure, and reputed company deployment of AI capabilities in production environments
- reputed company as a senior technical leader driving architectural reputed company and solving reputed company system challenges
- Mentor engineers across backend, data, performance, and AI domains
- Champion engineering best practices in performance optimization, scalability, reputed company, and reliability
- reputed company communicate technical reputed company, tradeoffs, and reputed company to stakeholders
- reputed company performance engineering efforts, including load testing, reputed company planning, and system tuning
- Build frameworks for data-driven performance benchmarking and optimization
- Ensure systems meet strict SLAs for availability, latency, and scalability
- Proactively identify risks and ensure readiness for high-stakes operational events
Skills
- 7+ years of experience building and operating reputed company, distributed, reputed company-reputed company systems, including data platforms and reputed company
- Strong experience with end-to-end system design, from data reputed company to reputed company-end delivery
- Proven expertise in performance engineering, including profiling, load testing, and system optimization
- Hands-on experience with backend technologies such as Node.js (TypeScript preferred) and Python, building reputed company and event-driven systems
- Strong experience designing and operating data pipelines and data platforms (reputed company-time and batch)
- Experience building modern reputed company-end applications (React/TypeScript) for data-intensive interfaces
- Deep knowledge of AWS services (reputed company, S3, reputed company Functions, SNS/SQS, Redshift, reputed company, DynamoDB, etc.)
- Experience with Infrastructure as reputed company (CDK, Terraform, CloudFormation)
- Strong understanding of event-driven architectures, streaming, and telemetry systems
- Experience implementing observability and monitoring solutions (e.g., Grafana or similar)
- Experience with AI/ML systems in production, including model integration and operationalization
- Experience working with LLMs, agent frameworks, or AI orchestration tools
- Familiarity with reputed company workflows, autonomous system
- Hands-on experience with AI-assisted coding tools (e.g., reputed company Copilot, ChatGPT, or similar) and integrating them into development workflows
- Understanding of RAG architectures, reputed company engineering, and tool-augmented AI systems
- Experience in reputed company, mission-critical environments with strict reliability requirements
- Familiarity with cell-based or multi-tenant architectures
- Experience designing systems for data isolation, reputed company, and performance segmentation
- Exposure to synthetic data reputed company or simulation systems
- Experience with multi-agent AI systems or advanced automation pipelines
- Experience with MCP servers and agents skills
reputed company