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Hyperworks Imaging is a cutting-edge technology company based out of Bengaluru, India since 2016. We are seeking an ambitious junior ML researcher who wants to do more than fine-tune off-the-shelf models. In this role, you will build, train and deploy new LLMs, SLMs, VLMs and AI agents from the ground up — designing architectures, running training experiments, and shipping models into production systems that power the AI assistants of the future.
We are seeking a high-ownership DevOps & MLOps Engineer with 2–3 years of hands-on experience to own and manage our hybrid cloud infrastructure across Azure (Primary Preference) and AWS (Secondary). In this role, you will be responsible for multi-environment cloud provisioning (Dev, Staging, Production), automated wildcard subdomain routing, API Gateways, centralized logging stacks, database reliability, cloud cost governance, and text-to-speech (TTS) AI pipelines across multiple internal applications.
KEY RESPONSIBILITIES
1. Cloud Infrastructure & Automation (IaC)
- Manage secure multi-environment (Dev/Staging/Prod) provisioning on Azure and AWS using Terraform modules.
- Standardize container build workflows and infrastructure state management.
2. Networking, Subdomain Routing & Gateways
- Automate wildcard subdomains, CNAME mappings, and ingress routing.
- Manage API Gateways (Azure APIM, AWS API Gateway, NGINX, Traefik, Kong).
- Handle SSL/TLS lifecycles via Cloudflare, Azure Key Vault, or AWS ACM.
3. AI, Speech & Storage Pipelines
- Maintain low-latency TTS integration pipelines (AWS Polly, Azure Speech Services).
- Optimize AWS S3/Azure Blob Storage lifecycle rules, access controls, and CDN delivery.
4. Database Administration & Performance
- Manage, tune, and scale PostgreSQL and Redis databases.
- Configure PgBouncer, read-replicas, automated snapshots, and point-in-time recovery.
5. Cost Governance & Observability
- Audit/optimize Azure/AWS spending (Savings Plans, Reserved Instances, rightsizing).
- Maintain centralized logging (ELK, Loki, CloudWatch) and metrics dashboards (Prometheus, Grafana).
6. Security, CI/CD & MLOps
- Enforce Zero-Trust IAM, secrets management (Azure Key Vault, AWS Secrets Manager), and OAuth/JWT auth.
- Manage CI/CD pipelines (GitHub Actions, Azure DevOps) for Node.js/Python microservices.
- Deploy ML inference endpoints (MLflow, BentoML, SageMaker, Azure ML).
CANDIDATE REQUIREMENTS
- Experience Level: 2–3 Years
- Educational Requirement: B.Tech / B.E. / B.S. in Computer Science, IT, or related technical field
Must Have Skills:
- Experience: 2–3 years of proven hands-on experience in DevOps, Cloud Platform, or Systems Engineering in a fast-paced environment.
- Hybrid Cloud: Direct experience managing workloads on AWS (Primary) and exposure to Azure as well.
- Infrastructure as Code: High proficiency in writing declarative, modular Terraform code.
- Database Management: Practical experience with PostgreSQL and Redis administration, query tuning, and automated backup strategies.
- Networking & Gateways: Hands-on setup of API Gateways, wildcard DNS routing, and SSL certificate management.
- Audio & Cloud Storage: Experience integrating cloud Speech/TTS APIs (AWS Polly / Azure Speech) and handling cloud object storage (S3 / Azure Blob).
- Cost Optimization: Demonstrated track record of auditing and reducing cloud expenditure across AWS or Azure.
- Logging & Monitoring: Setup and management of centralized logging (Loki, ELK, or CloudWatch) and metrics collection (Prometheus + Grafana).
- Containers & CI/CD: Hands-on expertise with Docker and automated pipeline creation via GitHub Actions or Azure DevOps.
PREFERRED QUALIFICATIONS (Nice-To-Have)
- Certifications: Azure Administrator Associate (AZ-104), AWS Certified Solutions Architect – Associate, or HashiCorp Certified: Terraform Associate.
- MLOps Frameworks: Prior exposure to model deployment frameworks (MLflow, BentoML, TorchServe, Azure ML, or AWS SageMaker).
- Backend Debugging: Ability to read and debug Node.js or Python backend code.
Please note that we will reach out to ONLY those applicants who satisfy the criteria listed above.
SALARY DETAILS: commensurate with experience
JOINING DATE: Immediate
JOB TYPE: full time
CONTACT:naveen@hyperworksimaging.com
Click on Apply to know more.