Distyl

8 months ago

Software Engineer - Back End

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Design, build, and optimize Distillery, an AI-native platform, by developing scalable backend services, cloud-native microservices, and reliable AI infrastructure. Collaborate with cross-functional teams to translate real-world enterprise needs into platform capabilities, balancing performance, security, and DevOps practices in a hybrid, multi-location setting.

Location: New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build & Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows.
•Develop Cloud-Native Microservices & Scalable AI Systems: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure.
•Optimize System Performance & Reliability: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.
•Collaborate with Cross-Functional Teams: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.

Pay and Benefits

Salary: USD 130,000 - 250,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquityCommuter Benefits

Key Requirements

•3-10+ years of software engineering experience across backend & systems engineering
•Proficiency in Python, Java, Golang, or C++ for building scalable, high-performance systems
•Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code
•Strong interest in AI-native development and leveraging tools in engineering workflows
•Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus

Experience:AIEnterprise softwareCloud

Skills:CommunicationCollaborationProblem-solvingAdaptability

Languages:English

Tech Stack:PythonFastAPISQLAlchemyAlembicKubernetesCI/CDAWSGCPAzureInfrastructure as code

Company Brief

Distyl

Builds enterprise-grade AI systems and integration services (Distillery) to help Fortune 500 companies become AI-native, delivering measurable operational impact across healthcare, telecom, manufacturing, and finance.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2022

Website LinkedIn Glassdoor

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Distyl

8 months ago

Software Engineer - Back End

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build & Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows.
•Develop Cloud-Native Microservices & Scalable AI Systems: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure.
•Optimize System Performance & Reliability: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.
•Collaborate with Cross-Functional Teams: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.

Pay and Benefits

Salary: USD 130,000 - 250,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquityCommuter Benefits

Key Requirements

•3-10+ years of software engineering experience across backend & systems engineering
•Proficiency in Python, Java, Golang, or C++ for building scalable, high-performance systems
•Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code
•Strong interest in AI-native development and leveraging tools in engineering workflows
•Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus

Experience:AIEnterprise softwareCloud

Skills:CommunicationCollaborationProblem-solvingAdaptability

Languages:English

Tech Stack:PythonFastAPISQLAlchemyAlembicKubernetesCI/CDAWSGCPAzureInfrastructure as code

Company Brief

Distyl

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2022

Website LinkedIn Glassdoor