The Test Architect will design and own the end-to-end regression testing strategy and automation framework for a complex observability platform. They will define acceptance criteria, establish quality gates, and collaborate with engineering teams to ensure platform reliability across functional, performance, and security requirements.
Design, build, and execute automated regression test suites for complex observability and audit platforms. Collaborate with engineering teams to validate infrastructure, telemetry pipelines, and distributed system performance.
The engineer will take ownership of the entire application stack, including API, UI, and CI/CD pipelines. They will work closely with founders to modernize the platform architecture and ensure scalability as the user base grows.
You will take ownership of the entire application stack, including API, UI, CI/CD, and hosting while modernizing the platform architecture. You will collaborate closely with the founders to prioritize development, implement new features, and optimize system performance for scalability.
Develop and maintain modern, high-performance frontend applications using React while collaborating with cross-functional teams. Optimize user interfaces for speed, accessibility, and SEO while ensuring scalable architecture and code quality.
Analyze customer behavior and product performance to transform complex data into actionable business insights. Develop dashboards, reports, and data models to support strategic initiatives across cross-functional teams.
Own the reliability, availability, and operational excellence of business-critical production systems. This includes defining SLIs/SLOs, leading incident response, and driving observability strategies to improve system stability.
Design and develop a modern, scalable web-based chat application using React and Python. Integrate the frontend with AI-powered backend services via AWS Bedrock and REST APIs to deliver a conversational user experience.
Design and build enterprise-grade AI solutions and automation workflows using AWS Bedrock and modern cloud technologies. Integrate AI agents and RAG pipelines with enterprise systems like ServiceNow and SAP to automate complex business processes.
Design and develop AI-powered automation solutions and agents using AWS Bedrock to streamline IT help desk workflows. Implement serverless applications and integrate enterprise platforms like Okta and Azure AD via REST APIs.
Design and implement RAG architectures and AI-powered chatbot experiences using AWS Bedrock. Develop scalable data ingestion pipelines and optimize semantic search strategies for enterprise knowledge retrieval.
Lead paid social creative strategy and concept development for Meta advertising campaigns to drive customer acquisition. Collaborate with media buyers and content creators to analyze performance data and iterate on high-performing ad creatives.
Manage, optimize, and scale paid social advertising campaigns across Meta platforms to drive profitable growth for eCommerce brands. Collaborate with creative teams to execute testing strategies and provide data-driven reporting and actionable recommendations.
Design and maintain Azure-based cloud infrastructure and optimize CI/CD pipelines for multiple engineering squads. Focus on migrating legacy systems to cloud-native microservices while improving developer productivity and software delivery efficiency.
Design and develop full-stack applications using .NET and Angular to modernize legacy systems into cloud-native microservices. Collaborate with cross-functional teams to implement AI-assisted development workflows and ensure high-quality software delivery.
Build and maintain scalable full-stack applications and APIs using TypeScript, Node.js, and React for a mental healthcare platform. Own features from concept to production while collaborating with cross-functional teams to improve system performance and reliability.
Design, develop, and maintain scalable full-stack SaaS applications from early-stage concepts. Integrate AI tools and APIs to enhance product capabilities and overall user experience.
The role involves maintaining, optimizing, and scaling the infrastructure for an AI-focused SaaS startup, ensuring high availability, performance, and reliability. Responsibilities include improving deployment processes, monitoring systems, and proactively responding to incidents in collaboration with development and product teams.
The role involves defining and evolving scalable architecture, making high-impact technical decisions under uncertainty, and partnering directly with founders on product and technology strategy. Responsibilities also include leading and mentoring distributed engineering teams and establishing lean, high-velocity development processes.
The role involves designing, implementing, and optimizing ETL processes to enhance data flow and operational efficiency while monitoring workflows for reliability and performance. Key duties include developing scalable data pipelines using Python, managing Azure storage solutions, and supporting data architecture for AI initiatives.
