
Staff Engineer, Software
Posted 6 days ago

Posted 6 days ago
This is a fully remote position, open to applicants in India.
β’ Establish technical direction, make decisions regarding build vs. buy, define architecture, and manage the technical roadmap in collaboration with product leadership.
β’ Transform vague challenges into actionable plans by scoping projects, identifying risks, breaking down initiatives, and fostering alignment across teams.
β’ Create and implement scalable pipelines, resilient services, and high-performance production systems.
β’ Utilize AI-assisted development tools such as Claude Code, Cursor, and Copilot.
β’ Assess and incorporate AI/ML capabilities, including LLMs, embeddings, and classification models, into production environments.
β’ Lead cross-team technical projects, spearhead RFCs, conduct architectural reviews, and build consensus.
β’ Manage systems from requirements gathering through to release and operational deployment.
β’ Oversee SLOs/SLIs, resolve production issues, and enhance system reliability.
β’ Elevate engineering standards through code reviews, mentorship, technical documentation, and exemplary role modeling.
β’ Proficiency in Python, which serves as the primary backend language.
β’ Hands-on experience in at least two programming languages in production settings.
β’ Designed and managed production systems catering to real users at scale.
β’ Made significant architectural decisions and taken ownership of the results.
β’ Led technical initiatives across teams without formal authority.
β’ Strong instincts in system design, including understanding failure modes, data flow, scalability, and operational costs.
β’ In-depth DevOps and operational experience with Kubernetes, cloud infrastructures (AWS/Azure/GCP), CI/CD, and observability practices.
β’ Proven record of mentoring engineers and enhancing team standards.
β’ Conducted hands-on sessions in a real development environment as part of the technical interview process.
β’ Ability to navigate unfamiliar code, effectively utilize AI tools, decompose problems, make incremental progress, and communicate trade-offs.
β’ Experience leading large-scale migrations or platform rewrites.
β’ Practical AI/ML experience in production settings with LLMs, BERT, NLP pipelines, or document understanding systems.
β’ Experience with large-scale content processing, enrichment, or search systems.
β’ Familiarity with Java.
β’ Experience with GitOps, ArgoCD, or Infrastructure as Code methodologies.
β’ Active engagement in AI-assisted development practices (AIDLC).
β’ AlphaSense does not require candidates to pay for job applications, equipment, or training.
β’ We are an equal-opportunity employer dedicated to fostering a supportive, inspiring, and respectful work environment.
β’ Reasonable accommodations for qualified employees with protected disabilities will be provided as mandated by applicable laws.
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