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Anaconda

Senior Software Engineer

Posted 3 Days Ago
Remote
Hiring Remotely in United States
142K-191K Annually
Senior level
Remote
Hiring Remotely in United States
142K-191K Annually
Senior level
Own full-stack development of Anaconda’s Enkrypt AI platform, building React/Next.js and Python/FastAPI features, secure APIs, asynchronous workflows, and Kubernetes-based deployments. Improve reliability, observability, CI/CD, testing, and supply-chain security while productionizing AI research capabilities. Lead US-hours customer issue response, participate in on-call support, make architectural decisions, and collaborate with distributed teams across India and the United States.
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About AnacondaBe at the center of AI


Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com.

Summary:


We're building the Enkrypt Platform (guardrails, red teaming, and policy enforcement for AI applications) and integrating it into Anaconda's broader AI enablement platform. Our development and research team is based in India, and we need our first US based senior engineer to bridge time zones, lead customer issue response during US business hours, and turn cutting edge research capabilities into reliable, enterprise grade product features. You'll own full stack delivery, shape architecture, and build the engineering foundations that scale our platform for Anaconda's growing customer base.


What You'll Do:
  • Design and ship full stack features across our Next.js/React/TypeScript dashboard and Python/FastAPI backend services.
  • Build secure, versioned APIs and extend our Kong API gateway with custom plugins for authorization (OpenFGA, OAuth 2.x) and rate limiting
  • Develop async workloads on Argo Workflows and NATS JetStream, owning GitOps deployments through ArgoCD, Helm, and Kubernetes
  • Improve reliability, latency, and observability for production services using OpenTelemetry, Prometheus, and Grafana, joining the on call rotation to support enterprise customers
  • Productionize research team capabilities (guardrails and red teaming features built on LiteLLM and vLLM) into backward compatible, testable product code
  • Use AI coding agents daily (Kilo) to design, build, and review faster, and help the team adopt effective AI assisted workflows
  • Strengthen CI/CD pipelines, increase test coverage, and improve supply chain security with image signing, SBOMs, and vulnerability scanning
  • Lead US business hours customer issue response, writing clear handoffs to the India team and collaborating with product, customer success, and platform teams across Anaconda
Your impact will be measured through:
  • Platform uptime, error rates, and guardrail response times improve, demonstrating increased reliability and performance for enterprise customers
  • Lead time to production decreases and change failure rate drops as CI/CD maturity and test coverage increase
  • Time to resolve customer issues during US business hours decreases, reducing overnight wait times and improving customer satisfaction
  • Adoption of Enkrypt capabilities across Anaconda's customer base grows as research features become production ready and integrated into the broader platform


What You Need:
  • 5+ years of software engineering experience with demonstrated full stack ownership (frontend and backend) in production environments
  • Experience owning production services end to end, including responding to incidents, maintaining backward compatibility, and improving reliability over time
  • Proficiency building and deploying web applications and APIs using modern frameworks (React, Next.js, FastAPI, or similar)
  • Ability to make autonomous technical decisions, write clear documentation and handoffs, and operate as the senior engineer online during US hours
  • Willingness to travel for department meetings 2 to 3 times per year and to India 1 to 2 times per year, and to participate in an on call rotation


What Will Make You Stand Out:
  • You've worked at a fast paced startup where you wore multiple hats, built foundations from scratch, and shipped features under ambiguity
  • You have experience at an open source, AI, or data science company and understand the unique demands of supporting developer facing enterprise platforms
  • You're fluent with Kubernetes, GitOps tooling (ArgoCD, Helm), infrastructure as code (Terraform), and cloud platforms (AWS, EKS), and you've built or extended API gateways
  • You've productionized machine learning or AI research, turning experimental code into reliable, testable services that enterprise customers depend on
  • You're an effective communicator across time zones and cultures, experienced collaborating with geographically distributed teams and writing handoffs that reduce friction
  • You embody our values: 'Curious by Default', 'Build Together', 'Own It', and 'Lead with Guts and Heart', and our behaviors: Clarity, Care and Candor
  • You care deeply about fostering an environment where people of all backgrounds and experiences can flourish


Why You'll Like Working Here:
  • You'll thrive in a high-performance environment where results are recognized and rewarded
  • Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise.
  • You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor.
  • You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth.

The application deadline for this role is 01/12/2027; applicants will be reviewed on an ongoing basis until the role is filled.



The base salary range for this role is $141,500 - $190,500, along with annual bonus potential, equity participation, and benefits.


Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.


In addition to base salary, we offer a comprehensive benefits package that includes:

  • Flexible Vacation Policy
  • Medical, Dental, and Vision Insurance
  • Short Term and Long Term Disability
  • Paid Parental Leave
  • Monthly Wellness Stipend
  • Employee Assistance Program and Mental Health Resources

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.


Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes.


By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated.  For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Vanessa Macilwaine.


Anaconda is an EEO/AA employer M/F/V/D.





HQ

Anaconda Austin, Texas, USA Office

901 East 6th Street, Austin, TX, United States, 78702

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