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Job Overview
Location
Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
November 6, 2025
Full Job Description
đź“‹ Description
- • Architect and own the end-to-end MLOps lifecycle for Simpplr’s AI-powered employee-experience platform, ensuring that every model—from recommendation engines to natural-language understanding services—can be trained, validated, deployed, monitored, and rolled back in minutes, not days.
- • Design cloud-native, Kubernetes-orchestrated pipelines that span data ingestion, feature engineering, distributed training, hyper-parameter tuning, model registry, A/B testing, and real-time inference at petabyte scale while keeping costs predictable and security airtight.
- • Champion infrastructure-as-code best practices using Terraform, Helm, and GitOps workflows so that environments (dev, staging, prod) are reproducible, version-controlled, and self-healing—freeing data scientists to focus on algorithms instead of YAML.
- • Build automated model-drift, data-drift, and performance-monitoring dashboards that surface anomalies before they impact 1M+ daily active users, triggering rollback or retraining jobs without human intervention.
- • Partner with product, data science, and customer-success teams to translate business KPIs (e.g., “increase intranet search relevance by 12%”) into measurable ML objectives, then deliver the observability stack that proves ROI to Fortune 500 executives.
- • Optimize GPU/TPU utilization and multi-region latency to ensure sub-100 ms inference for real-time personalization while keeping cloud spend under 5% of ARR through intelligent auto-scaling and spot-instance orchestration.
- • Create secure, privacy-compliant pipelines that satisfy SOC 2, GDPR, and HIPAA requirements—encrypting PII at rest and in transit, implementing role-based access control, and maintaining audit trails that make compliance reviews a breeze.
- • Mentor junior MLOps and platform engineers through pair programming, design reviews, and lunch-and-learn sessions, raising the bar for code quality, testing, and documentation across the entire R&D organization.
- • Evaluate emerging technologies (e.g., vector databases, LLM fine-tuning frameworks, feature stores) in quarterly spikes, then socialize findings via internal tech talks and proof-of-concept repos that accelerate innovation.
- • Own the 24×7 on-call rotation for production ML services once per quarter, using blameless post-mortems to turn incidents into durable system improvements and reducing MTTR by 30% year over year.
- • Collaborate with DevOps and Security to integrate ML pipelines into the broader CI/CD ecosystem, ensuring that every pull request triggers automated unit, integration, and load tests before promotion to staging.
- • Drive cost-allocation tagging and FinOps practices so that every experiment’s cloud bill is transparently attributed to the requesting team, enabling data-driven decisions about model complexity versus business value.
- • Establish SLIs/SLOs for model latency, throughput, and accuracy, then build canary and blue-green deployment strategies that let new models earn traffic gradually while protecting user experience.
- • Contribute to open-source MLOps projects (Kubeflow, MLflow, Feast) and represent Simpplr at meetups and conferences, strengthening our employer brand and attracting top-tier talent.
🎯 Requirements
- • 5+ years production-grade MLOps or platform engineering experience with Kubernetes, Docker, and at least one major cloud (AWS, GCP, or Azure)
- • Expert-level Python and proficiency in Infrastructure-as-Code (Terraform, CloudFormation, or Pulumi)
- • Hands-on experience with distributed training frameworks (Ray, Horovod, or PyTorch DDP) and model-serving stacks (KServe, TensorFlow Serving, or Triton)
- • Nice-to-have: advanced degree in Computer Science, Data Science, or related quantitative field
🏖️ Benefits
- • Fully remote-first culture with quarterly in-person retreats in destinations like Lisbon or Austin
- • Competitive salary plus equity in a fast-growing, profitable SaaS company
- • $2,000 annual learning stipend for courses, conferences, or certifications
- • Flexible PTO policy and company-wide mental-health days every quarter
Skills & Technologies
Senior
Remote
About Simpplr Inc.
Simpplr provides cloud-based intranet software that unifies employee communications, knowledge management, and engagement in one platform. The company’s AI-driven platform personalizes content delivery, consolidates corporate news and documents, and supports collaboration across distributed teams. Founded in 2014 and headquartered in Redwood City, California, Simpplr serves mid-market to Fortune 500 organizations, integrating with enterprise systems like Salesforce, Google Workspace, and Microsoft 365 to streamline internal communication and improve employee experience.
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