ShyftLabs Announces Official OpenAI Partnership
ShyftLabs
ShyftLabs announced that it became an official OpenAI partner as it expands enterprise AI solutions and production deployments.
Read articleAbout ShyftLabs
ShyftLabs is a fast-growing data and technology company that partners with Fortune 500 and enterprise organizations to solve complex business challenges through cloud, AI, data engineering, and modern software solutions. We foster a collaborative, innovation-driven culture where talented professionals work on impactful initiatives that drive measurable business outcomes.
The Opportunity
We're looking for a Senior DevOps Engineer who is deeply hands-on and ready to lead from the front. You'll own complex infrastructure across multiple internal projects, set the technical direction for DevOps, and be the person the team leans on to get things working in production. This is a role for a doer who leads by building, someone equally comfortable with their hands in Terraform, a broken deploy at 2 a.m., or guiding a small team toward the right technical call. You set the standard through your own work and lift the people around you while doing it.
Personally design, build, and operate the cloud infrastructure, CI/CD pipelines, and underlying platform that our production, QA, and development environments run on.
Write the automation, IaC, and tooling yourself, including Terraform modules, deployment scripts, and glue code that removes manual work for the whole team.
Own reliability directly. Troubleshoot and resolve scalability, availability, and performance issues in live systems, catching and fixing problems before they reach customers.
Build and maintain CI/CD pipelines, keeping them fast, stable, and efficient, and integrate automated testing into them.
Stand up monitoring, dashboards, alerting, and log aggregation, then act on what they tell you.
Get hands-on with application developers to make deployments seamless, pairing on issues rather than just handing off runbooks.
Set technical direction for DevOps and drive it to adoption, making the architectural calls and defending them with working systems.
Mentor and grow the engineers around you by reviewing work, unblocking teammates, and raising the bar through hands-on guidance rather than distance.
Help shape team structure and priorities, and coordinate closely across engineering and with customers to keep delivery on track.
Evaluate and roll out new tools, technologies, and processes, proving them out in real systems rather than in slide decks.
5+ years of hands-on DevOps engineering, with a track record of things you personally built and shipped.
Experience leading or mentoring engineers, or owning the technical direction of a team or major project.
Deep, practical expertise in AWS EKS, GitLab CI/CD, and Terraform. You've operated these in production, not just touched them.
Extensive hands-on AWS experience across Lambda, API Gateway, CloudWatch, ECS, Kinesis, and Kafka.
Fluent on the command line (Bash, Python) and comfortable writing your own automation and tooling.
Strong grasp of microservices architecture, container orchestration (Docker, Kubernetes/EKS), and IaC methodology.
Proven ability to architect and scale infrastructure across multiple cloud platforms.
Working knowledge of Elasticsearch and log aggregation.
Excellent at documenting your own work clearly, and communicating decisions to both engineers and customers.
A self-starter and closer, someone who takes ambiguous problems and returns working, shipped solutions, and brings a team along with them.
This Senior DevOps Engineer role focuses on building and operating cloud infrastructure, deployment pipelines, and production platforms. It combines hands-on implementation with technical direction, reliability work, and mentorship across engineering projects.
ShyftLabs builds enterprise data and AI systems for organizations in retail, healthcare, financial services, energy, government, manufacturing and supply chain. Its work spans applied intelligence, data infrastructure and engineering, activation and analytics, and governance and security. The company also develops Continuum, an agentic AI platform comprising an open-source agent runtime, Aura for intelligent model routing, and Provenance for governance and observability. ShyftLabs says it has launched more than 50 enterprise solutions and employs more than 250 data and AI specialists across locations including Toronto, New York, Dubai and India.
ShyftLabs offers candidates exposure to enterprise AI, data engineering and agentic AI projects used by major retailers, healthcare organizations and public-sector clients. The company says it has more than 250 data and AI specialists and has launched over 50 enterprise solutions. Its Continuum platform includes an open-source agent runtime, intelligent model routing and AI governance, creating work across agents, distributed systems, data infrastructure and security. Current roles reference Python, Databricks, Spark, AWS, Azure, GCP, Terraform and Kubernetes. Job postings also highlight technical ownership, mentoring, professional development, employer-paid health benefits in Canada and hybrid flexibility for applicable roles.
Programming Language
Backend Framework
Frontend Framework
Database
Database
Data and AI Platform
Data Processing
Data Processing
Data Platform
Cloud Data Platform
Data Transformation
Data Orchestration
Cloud Infrastructure
Cloud Infrastructure
Cloud Infrastructure
Infrastructure as Code
Containers
Container Orchestration
Workflow Orchestration
Vector Database
Vector Database
AI Observability
Machine Learning Platform
Cloud Data Warehouse
Founder and CEO of ShyftLabs with a background in analytics, product and retail technology. Before founding ShyftLabs, Khandelwal worked at companies including Jet.com, Citi and Evernote and co-founded Minoan. He holds an MS in Operations Research from Columbia University and a BE in Computer Science from Panjab University.
Leads security and privacy initiatives at ShyftLabs and contributes to the company's enterprise AI governance work. His background includes software engineering, application security, penetration testing and cloud security, with prior cybersecurity experience at KPMG and professional certifications across AWS and Google Cloud.
Leads consulting and services at ShyftLabs, helping translate enterprise business requirements into data, AI and digital transformation programs. His background includes product management, consulting and entrepreneurship, including co-founding healthcare technology venture InsightHx.
ShyftLabs
ShyftLabs announced that it became an official OpenAI partner as it expands enterprise AI solutions and production deployments.
Read articleShyftLabs
ShyftLabs introduced Aura, a model-routing layer within Continuum that can route AI requests across more than 250 models and 45 providers according to quality, latency, cost and policy requirements.
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ShyftLabs disclosed its work on the data foundation supporting MAC Cosmetics' Shopify storefront, including real-time activation, consent and privacy enforcement and unified customer profiles.
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ShyftLabs hosted AgentShyft during Toronto Tech Week, where developers built production-oriented agentic AI applications using the company's Continuum framework.
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