Company Name: VARITE India Private Limited

About The Client:

A global IT services and consulting company, multinational information technology (IT), headquartered in Tokyo, Japan. The Client offers a wide array of IT services, including application development, infrastructure management, and business process outsourcing. Their consulting services span business and technology, while their digital solutions focus on transformation and user experience design.

It excels in data and intelligence services, emphasizing analytics, AI, and machine learning. Additionally, their cybersecurity, cloud, and application services round out a comprehensive portfolio designed to meet the diverse needs of businesses worldwide.

Essential Job Functions:

- Build and operate the orchestration and runtime capabilities that allow agentic applications to move reliably from development into production.

- Integrate agent workflows with existing cloud, security, policy, CI/CD, and observability capabilities.

- Support multi-step execution, model routing, state management, resiliency, evaluation, and production operations without rebuilding the client's established platform foundations.

- Design and implement orchestration patterns for multi-step agents, multi-agent collaboration, deterministic workflows, long-running tasks, approvals, and event-driven execution.

- Implement durable state, checkpoints, queues, retries, backoff, idempotency, timeouts, compensation, dead-letter handling, and recovery for agent workflows.

- Integrate model gateways and routing logic to select models based on capability, sensitivity, latency, cost, availability, and policy requirements.

- Build deployment and release patterns for agent services, orchestration components, prompts, tool definitions, configurations, and evaluation assets.

- Integrate with existing CI/CD, Infrastructure-as-Code, Policy-as-Code, secrets, identity, container, and cloud runtime capabilities.

- Create observability for agent traces, model calls, tool calls, workflow state, token usage, cost, latency, errors, quality signals, and dependency health.

- Implement automated quality and security gates,



including unit and integration testing, evaluation suites, policy checks, vulnerability scans, and rollback criteria.

- Optimize runtime performance, concurrency, throughput, caching, context usage, model selection, and infrastructure cost.

- Support production incidents, root cause analysis, capacity planning, resiliency testing, disaster recovery, and operational runbooks.

- Develop reusable platform templates, SDKs, reference pipelines, dashboards, and onboarding guidance for agent development teams.

Qualifications:

Mandatory Skills

- Platform Engineering / DevOps / SRE / Distributed Systems – Expert

- Production experience with AI/ML, LLM, Agentic, Workflow, or High-Scale Distributed Platforms – Expert

- Containers, Kubernetes, or Equivalent Runtime Platforms – Expert

- CI/CD Pipelines – Expert

- Infrastructure as Code (IaC) – Expert

- Configuration Management & Secrets Management – Expert

- Automated Deployment – Expert

- Agent Orchestration (State, Checkpoints, Retries, Timeouts, Queues, Long-Running Tasks, Human Approvals, Failure Recovery) – Expert

- Logging, Metrics, Distributed Tracing, OpenTelemetry, Alerting & Dashboards – Expert

- Python / Go / Java / TypeScript or Comparable Programming Language – Expert

- Security, Identity, Policy, Data & Network Integration – Good

- Performance, Reliability, Scalability & Cost Optimization – Expert

Desired Skills

- Model Gateways, Multi-Model Routing, Provider Abstraction, Fallback, Quotas & AI Cost Controls – Valuable

- LangGraph, Temporal, Airflow, Argo Workflows, Durable Functions, Step Functions, Kubernetes Operators – Good

- AI Tracing & Evaluation Platforms, Prompt/Model Registries, Feature Flags, Canary Releases & Regression Gates – Good

- Terraform, Pulumi, Helm, GitOps,



Policy Engines, Service Mesh, Event Streaming & API Gateways – Good

- AWS, Azure, GCP, Hybrid & Private Cloud Platforms – Good

- Experience in Regulated Enterprise Environments – Good

Indicative Technology Exposure

- Kubernetes, Docker, Serverless or Managed Container Platforms

- Terraform, Pulumi, Helm, GitOps

- GitHub Actions, GitLab, Jenkins, Azure DevOps

- LangGraph, Temporal, Airflow, Argo, Step Functions, Durable Functions

- Model Gateways & Provider APIs

- Queues & Event Streaming

- OpenTelemetry, Prometheus, Grafana, Cloud Monitoring

- AI Tracing & Evaluation Tools

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

Unlock Rewards: Refer Candidates and Earn.

If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral:

0-2 years

INR 5,000

2-6 years

INR 7,500

6+ years

INR 10,000

About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Opportunity Employer:

VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status

📌 AI Orchestration / Platform Engineer (Hyderabad)
🏢 VARITE
📍 Hyderabad