Staff Engineer, Software
New
A
AlphaSenseMarket intelligence
Remote - IndiaFull-TimeStaff
Salary not disclosed
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Job Details
- Required Skills
- AWSPythonGCPKubernetesAzureCI/CD
Requirements
- Strong in Python, the primary backend language.
- Production code shipped in at least two programming languages.
- Designed and owned production systems serving users at scale, making consequential architectural decisions.
- Led cross-team technical initiatives without formal authority, such as migrations, platform changes, or architectural shifts.
- Strong system design instincts, including failure modes, data flow, scalability, and operational cost.
- Deep DevOps and operational experience with Kubernetes, cloud infrastructure (AWS, Azure, or GCP), CI/CD, and observability.
- Track record of mentoring engineers and raising team standards through pairing, reviews, RFCs, or leading by example.
- Hands-on AI/ML experience in production, including LLMs, BERT, NLP pipelines, or document understanding systems, is preferred.
- Experience with large-scale migrations or platform rewrites, content processing, enrichment, or search systems is preferred.
- Familiarity with Java, GitOps, ArgoCD, or Infrastructure as Code is preferred.
- Experience using AI-assisted development tools in the engineering workflow is preferred.
Responsibilities
- Set technical direction, make build-versus-buy decisions, define architecture, and own the technical roadmap with product leadership.
- Scope ambiguous problems, identify risks, break large initiatives into deliverable increments, and align teams.
- Design and deliver scalable pipelines, robust services, and high-performance production systems.
- Use AI-assisted development tools, including Claude Code, Cursor, and Copilot, in the engineering workflow.
- Evaluate and integrate AI/ML capabilities such as LLMs, embeddings, or classification models when appropriate.
- Lead cross-team technical initiatives, RFCs, and architectural reviews, and build consensus on technical decisions.
- Own systems from requirements through release and production; monitor SLOs/SLIs, troubleshoot issues, and improve reliability.
- Raise engineering standards through code reviews, mentorship, and technical documentation.
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