Senior Administrator - Social Network Development, Netwok Automation

Technology, Data & Digital · Software & Web Development · Software Engineering · DevOps

In short

We are looking for a Senior Administrator, Social Network Development, Network Automation with expert-level Python skills to build intelligent automation for IOQ, AMD Fleet Services. This role involves architecting and developing agentic workflows using Google ADK and delivering full-stack services for agentic operations.

Responsibilities

Architect and develop agentic workflows in Python using Google ADK, including agents, sub-agents, tool definitions, session management, callbacks, delegation, and artifact handling.
Build workflows for alert enrichment, Jira intake, classification, evidence collection, knowledge retrieval, recommended actions, handoff preparation, and operational reporting.
Integrate approved AI models and tools with monitoring, ticketing, documentation, inventory, and automation platforms through secure APIs.
Engineer deterministic orchestration, validation rules, confidence handling, human approval gates, stop conditions, rollback, and audit trails.
Design and build the full-stack surface for agentic services, including backend APIs (FastAPI) and the operator-facing web application.
Own the end-to-end path from data model and API contract through authentication, state management, front-end implementation, and deployment.
Develop evaluation suites to measure accuracy, completeness, repeatability, safety, and escalation quality of agentic services.
Implement telemetry for prompts, tool calls, latency, failures, costs, outcomes, user overrides, and operational impact.
Support production incidents involving agentic services and drive root-cause correction and reliability improvement.
Partner with L1/L2/L3 domain owners to codify SOPs and runbooks into reusable automation components.
Create version-controlled software, prompts, policies, schemas, tests, deployment pipelines, documentation, and operational support procedures.
Apply secure software development practices, least privilege, secrets management, input/output validation, dependency controls, and appropriate data retention.
Establish reusable patterns for agent design, tool integration, evaluation, front-end operator experience, and production readiness.

Requirements

Expert level Python with strong software engineering experience, including API development, type hints, asynchronous and concurrent systems, packaging, automated testing, and production support.
Demonstrated experience building and shipping agents with Google Agent Development Kit (ADK).
Working command of AI fundamentals: prompt and context construction, context-window and token budget management, embeddings and retrieval-augmented generation, tool/function calling, structured output and schema validation, temperature and sampling behavior, hallucination and model failure modes, and evaluation design.
End-to-end delivery of web applications: TypeScript/JavaScript with a modern front-end framework (React or equivalent), REST or GraphQL API design, authentication and authorization, relational and/or vector data stores, and deployment through CI/CD.
Experience integrating with platforms such as Jira, Confluence, Git, monitoring systems, automation controllers, or cloud services through authenticated APIs.
Strong understanding of secure AI application design, including prompt injection, privilege boundaries, secrets, data classification, auditability, model failure modes, and safe tool-execution patterns.

Desired Qualifications

A second production language among Go, Java, C++, or Rust.
Broader agent-framework exposure (LangGraph, Semantic Kernel, MCP-based tool servers) and the judgment to explain where each fits relative to ADK.
Google Cloud AI stack beyond ADK — Vertex AI, Gemini APIs, Agent Engine, or comparable managed agent runtimes.
Infrastructure automation and configuration tooling such as Ansible, Terraform, shell, or CI/CD systems.
SRE practices: incident management, observability, runbooks, SLIs/SLOs, and production change control.
Ability to influence architecture across teams and communicate tradeoffs to both technical and operational stakeholders.
GPU/HPC infrastructure, Azure AI services, or on-premises model deployment.
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field preferred; equivalent relevant experience considered.

Benefits

Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.
Global technology company, home to more than 223,000 people across 60 countries.
Delivering industry-leading capabilities centered around digital, engineering, cloud and AI.

Skills

PythonGoogle ADKFastAPITypeScriptJavaScriptReactRESTGraphQLJiraConfluenceGitGoJavaC++RustGoogle Cloud AIVertex AIGemini APIsAgent EngineAnsibleTerraformShellCI/CD

#Agentic Software Developer#IOQ#AMD Fleet Services#automation#alert intake#ticket triage#evidence collection#knowledge retrieval#procedure execution#operational reporting#remediation#compute#storage#networking#identity#cloud services#Python#Google ADK#AI#FastAPI#TypeScript#JavaScript#React#REST#GraphQL#Jira#Confluence#Git#Go#Java#C++#Rust#Google Cloud AI#Vertex AI#Gemini APIs#Agent Engine#Ansible#Terraform#Shell#CI/CD#SRE#GPU#HPC#Azure AI

About HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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