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 and mentor engineers while maintaining high engineering standards.

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/MLKubernetesAWSAzureGCPCI/CDGitOpsArgoCDJava

Soft Skills

MentorshipCommunicationProblem-SolvingConsensus-Building

Tools & Technologies

Claude CodeCursorCopilotObservability ToolsInfrastructure as Code

Industry Keywords

Production SystemsScalabilityOperational CostContent ProcessingNLP Pipelines

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
Scope ambiguous work, identify risks, break down initiatives into deliverable increments, and drive 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
Lead cross-team technical initiatives, RFCs, architectural reviews, and consensus-building on technical decisions
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 modeling best practices
Navigate unfamiliar code, decompose problems, make incremental progress, and communicate trade-offs during technical interviews

Requirements

What you’ll need

Strong in Python, the primary backend language
Production code shipped in at least two programming languages
Experience designing and owning production systems serving real users at scale
Experience making consequential architectural decisions
Experience leading 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
Experience with large-scale migrations or platform rewrites preferred
Hands-on AI/ML production experience with LLMs, BERT, NLP pipelines, or document understanding systems preferred
Experience with engineering-wide standards, practices, or tooling preferred
Experience with content processing, enrichment, or search systems at scale preferred
Familiarity with Java preferred
Experience with GitOps, ArgoCD, or Infrastructure as Code preferred
Active use of AI-assisted development tools in daily engineering workflow preferred

Benefits

Comp & perks

Equal-opportunity employer committed to a supportive, respectful work environment
Reasonable accommodation for qualified employees with protected disabilities, as required by applicable laws
AI tools available and pre-configured for the technical interview