Staff Software Engineer, Full Stack

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AlphaSenseMarket Intelligence
Remote - IndiaFull-TimeStaff
Salary not disclosed
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Job Details

Experience
Minimum 8 years
Required Skills
AWSGraphQLNode.jsPythonSQLJavaJavascriptKubernetesTypeScriptReact

Requirements

  • Bachelor's or Master's Degree in Computer Science or related discipline.
  • Minimum 8 years of software development experience building scalable, high-performing, and robust applications.
  • Strong proficiency in JavaScript with solid experience in full-stack development.
  • Expertise in modern web frameworks such as React, TypeScript, and GraphQL.
  • Experience with at least one backend language/framework (e.g., Node.js, Java, Python).
  • Strong computer science fundamentals (data structures, algorithms, multithreading, distributed systems).
  • Experience with SQL/NoSQL databases (e.g., DynamoDB, MySQL, Redis, Elasticsearch).
  • Cloud-native development experience with AWS or GCP.
  • Skilled with containerization and orchestration tools (Kubernetes, Docker, Helm).
  • Familiarity with observability tools and platforms (monitoring, logging, tracing).
  • Experience with service reliability, on-call ownership, and incident triage.
  • Demonstrated ability to lead technically within distributed, cross-functional teams.

Responsibilities

  • Design and build high-quality, performant, and scalable software systems across backend and frontend.
  • Own the technical architecture and reliability of backend services alongside frontend microapps.
  • Lead technical design discussions, clarify requirements, and deliver effective and maintainable solutions.
  • Take ownership of full-stack development projects, from backend APIs to front-end integration.
  • Apply best practices in DevOps, CI/CD, and cloud-native engineering to improve delivery efficiency.
  • Mentor and coach engineers, raising the technical bar across the team.
  • Collaborate with globally distributed teams and cross-functional stakeholders.
  • Build and integrate intelligent features into the platform, leveraging LLMs, agents, and AI frameworks.
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