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Staff Engineer, Software

2 hours, 55 minutes ago
India
Full-time
Lead
Technical Lead
Software Development
Argo CD AWS Azure BERT CI/CD GitOps Java Kubernetes Python System Design
Apply Now
Alphasense

Alphasense

Alphasense is a global leader in providing high-quality gas sensors and air quality monitors to industrial OEMs. With over 25 years of experience, the company offers a wide range of innovative gas sensor technologies for various applications, including...

Industrial Conglomerates
51-250
Founded 1996
View All Jobs 76

Description

  • Set technical direction, define architecture, make build-versus-buy decisions, and own the technical roadmap with product leadership.
  • Turn ambiguous business problems into scoped initiatives with clear risks, milestones, and deliverables.
  • Design, build, and operate scalable pipelines, backend services, and high-performance production systems.
  • Use AI-assisted development tools such as Claude Code, Cursor, and Copilot effectively in daily engineering work.
  • Evaluate and integrate AI/ML capabilities, including LLMs, embeddings, and classification models, into production systems.
  • Lead cross-team technical initiatives, RFCs, architectural reviews, migrations, and platform changes without formal authority.
  • Own systems from requirements through production, including monitoring SLOs and SLIs, troubleshooting incidents, and improving reliability.
  • Raise engineering standards through code reviews, mentorship, technical documentation, and leading by example.

Requirements

  • Strong Python skills and production experience in at least one additional programming language.
  • Experience designing and owning production systems serving real users at scale, including consequential architectural decisions.
  • Experience leading cross-team technical initiatives without formal authority.
  • Strong system design skills covering failure modes, data flow, scalability, and operational cost.
  • Deep operational and DevOps experience with Kubernetes, cloud infrastructure such as AWS, Azure, or GCP, CI/CD, and observability.
  • Track record of mentoring engineers and improving team standards through pairing, reviews, RFCs, or technical leadership.
  • Experience with large-scale migrations or platform rewrites (preferred).
  • Hands-on production experience with AI/ML, such as LLMs, BERT, NLP pipelines, or document understanding systems (preferred).
  • Experience with content processing, enrichment, or search systems at scale; familiarity with Java, GitOps, ArgoCD, or Infrastructure as Code is preferred.
  • Active use of AI-assisted development tools in an engineering workflow (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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