
Staff Software Engineer, Full Stack
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants in India.
β’ Design and develop high-quality, efficient, and scalable software systems encompassing both backend and frontend.
β’ Take ownership of the technical architecture and reliability of backend services while managing frontend microapplications.
β’ Lead discussions on technical design, clarify project requirements, and deliver effective and maintainable solutions.
β’ Oversee full-stack development initiatives, ranging from backend APIs in Python or Java to frontend integration.
β’ Act as a central architectural figure across various domains.
β’ Implement DevOps, CI/CD, and best practices in cloud-native engineering.
β’ Mentor and guide engineers, enhancing the technical proficiency of the team.
β’ Collaborate with teams located globally and engage with cross-functional stakeholders.
β’ Assess and incorporate emerging technologies into the development process.
β’ Develop and integrate intelligent features utilizing LLMs, agents, and AI frameworks.
β’ Work alongside other teams to integrate and optimize intelligent features and workflows.
β’ Bachelor's or Master's Degree in Computer Science or a related field.
β’ At least 8 years of experience in software development, focusing on building scalable, high-performing, and robust applications.
β’ Strong expertise in JavaScript with substantial experience in full-stack development.
β’ Proficiency in modern web frameworks, including React, TypeScript, and GraphQL.
β’ Experience with at least one backend language or framework, such as Node.js, Java, or Python.
β’ Solid understanding of computer science fundamentals: data structures, algorithms, multithreading, and distributed systems.
β’ Familiarity with SQL/NoSQL databases, including DynamoDB, MySQL, Redis, Elasticsearch, Solr, Vespa, or Lucene.
β’ Experience in cloud-native development using AWS or GCP.
β’ Proficient in Kubernetes, Docker, and Helm.
β’ Knowledge of observability tools and platforms for monitoring, logging, and tracing.
β’ Experience with service reliability, on-call responsibilities, and incident management for production systems.
β’ Capability to lead technically within distributed and cross-functional teams.
β’ Practical experience with AI-assisted development tools like Claude Code or Copilot.
β’ A proven history of promoting AI adoption within engineering teams is highly advantageous.
β’ AlphaSense never requires candidates to pay for job applications, equipment, or training.
β’ Commitment to equal-opportunity employment and reasonable accommodation.
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