United Layer
Automation Scripting Expert
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
9 August 2026
What they need
Technical Implementation Specialist
Experience Required
4 - 6 Years
Bangalore
About UnityOne.AI
UnityOne.AI is an intelligent cloud and operations management platform that unifies monitoring, automation, and AI-driven decisioning. Our mission is to help enterprises and service providers modernize IT operations through AIOps, hybrid observability, and agentic automation
We are seeking a Technical Implementation Specialist who combines deep technical expertise with a strong ability to implement solutions and ensure customer success. This role is ideal for someone who excels in solution deployment, integration, automation, and then driving customer adoption and value realization.
Role Overview
As a Technical Implementation Specialist at UnityOne.AI, you will lead technical onboarding, configuration, and integration for customer environments, followed by driving successful product adoption and ongoing value delivery.
Your mission: Lead technical implementation as the core responsibility, followed by ensuring customers achieve measurable success, adoption, retention, and expansion through UnityOne.AI.
Key Responsibilities
Technical Implementation, Onboarding Integration
Lead end-to-end technical deployment and go-live for new customers
Integrate customer hybrid environments (on-prem/cloud) with the platform
Configure monitoring sources, APIs, collectors, and data pipelines
Build and test automation scripts, workflows, and agentic AI use cases
Customer Success Enablement
Define success metrics, deployment plans, and customer KPIs
Drive training and enablement sessions on AI-powered operations
Monitor adoption, usage, and automation performance
Partner with support/product teams to resolve technical issues
AI Automation Use-Case Design
Identify automation opportunities and build agentic workflows
Create proof-of-value use cases and ROI demos
Document reusable automation patterns and technical best practices
Product Feedback Continuous Improvement
Capture customer insights and share with engineering
Identify expansion opportunities tied to automation maturity
Develop customer success stories and references
Customer Engagement Value Realization
Conduct QBRs and showcase measurable outcomes
Act as the technical-customer advocate
Build strong relationships with both business and technical stakeholders
Must-Have Skills Qualifications
Technical Expertise
4 8 years in Implementation, Technical Consulting, Customer Success, or IT Operations
Experience with monitoring / AIOps platforms (Datadog, Dynatrace, LogicMonitor, New Relic, OpsRamp)
Strong understanding of infra: Compute, Storage, Network, Cloud (AWS/Azure/GCP), Kubernetes
Hands-on integration using APIs, Webhooks, Event Streams, ITSM (ServiceNow/BMC)
Docker Kubernetes familiarity
Automation Scripting
Proficiency in Python, PowerShell, Bash (automation remediation workflows)
Automation frameworks / self-healing routines
Terraform / Ansible experience is a plus
AI Observability Knowledge
Exposure to LLM-based automation agentic systems
Observability pipelines: metrics/logs/traces, anomaly detection
Alert correlation automation use cases
Customer Problem-Solving Skills
Strong analytical and debugging skills
Excellent communication stakeholder management
Ability to manage multiple customer journeys simultaneously
Education
Bachelor s in Computer Science, Information Systems, or related field
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Nice to Have
Experience with Django/Flask web frameworks.
Exposure to NLP, OCR, image processing, or large language models (LLMs).
Familiarity with data engineering tools like Airflow, Spark, or Kafka.
Containerization (Docker) and orchestration (Kubernetes) experience.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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