Staff Engineer, Software

AlphaSense

. Set technical direction, make build-vs-buy decisions, define architecture, and own the technical roadmap with product leadership .

Posted 9/29/2026full-timeRemote • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python and production system design, with a strong focus on AI/ML integration and DevOps practices. Proven ability to lead cross-team initiatives, mentor engineers, and enhance engineering standards through effective communication and technical direction.

Highest-signal resume keywords

Python ProgrammingAI/ML Production ExperienceKubernetes and Cloud InfrastructureSystem Design and ArchitectureCross-Team Technical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonAI/ML IntegrationSystem DesignKubernetesAWSAzureGCPCI/CDGitOpsJava

Soft Skills

MentorshipCommunicationProblem DecompositionConsensus BuildingTechnical Documentation

Tools & Technologies

Claude CodeCursorCopilotArgoCDObservability Tools

Industry Keywords

Production SystemsScalabilityOperational CostNLP PipelinesContent Processing

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaKubernetesPython

About the role

Key responsibilities & impact

Set technical direction, make build-vs-buy decisions, define architecture, and own the technical roadmap with product leadership
Turn ambiguous problems into concrete plans by scoping work, identifying risks, breaking down initiatives, and driving cross-team alignment
Design and deliver scalable pipelines, robust services, and high-performance production systems
Use AI-assisted development tools such as Claude Code, Cursor, and Copilot
Evaluate and integrate AI/ML capabilities including LLMs, embeddings, and classification models into production systems
Drive cross-team technical initiatives, lead RFCs, architectural reviews, and consensus-building
Own systems from requirements through release and production operation
Monitor SLOs/SLIs, troubleshoot production issues, and improve reliability
Raise engineering standards through code reviews, mentorship, technical documentation, and role modeling

Requirements

What you’ll need

Strong in Python, the primary backend language
Production experience in at least two programming languages
Designed and owned production systems serving real users at scale
Made consequential architectural decisions and owned outcomes
Led cross-team technical initiatives without formal authority
Strong system design instincts covering failure modes, data flow, scalability, and operational cost
Deep DevOps and operational experience with Kubernetes, cloud infrastructure (AWS/Azure/GCP), CI/CD, and observability
Track record of mentoring engineers and raising team standards
Hands-on session in a real development environment as part of the technical interview
Ability to navigate unfamiliar code, leverage AI tools critically, decompose problems, make incremental progress, and communicate trade-offs
Experience leading large-scale migrations or platform rewrites
Hands-on AI/ML production experience with LLMs, BERT, NLP pipelines, or document understanding systems
Experience with content processing, enrichment, or search systems at scale
Familiarity with Java
Experience with GitOps, ArgoCD, or Infrastructure as Code
Active practice of AI-assisted development (AIDLC)

Benefits

Comp & perks

AlphaSense never asks candidates to pay for job applications, equipment, or training
Equal-opportunity employer committed to a supportive, inspiring, and respectful work environment
Reasonable accommodation for qualified employees with protected disabilities, as required by applicable laws