Platform Engineer- Skylar AI Platform

ScienceLogic; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

ScienceLogic is seeking a passionate Full Stack Engineer for the Skylar AI Platform team to maintain monthly software updates and ensure the lab environment is available for engineering.

You will drive end-to-end testing, automate pipelines, and collaborate with product, data science, quality, and engineering to verify and test the platform.

The role emphasizes AI-assisted problem solving, ticket resolution, and clear status updates across teams.

Qualifications

• Experience building lab environments for development, testing, and staging.
• Knowledge of CI/CD pipelines and automation.
• Experience with API testing and end-to-end validation.
• Familiarity with Docker and Kubernetes basics.
• Understanding telemetry data and observability.

Responsibilities

• Create and maintain a scalable lab environment for multi-environment testing.
• Develop automated tests triggered by commits to validate builds.
• Test cross-system data flows from ingestion to dashboards.
• Simulate end-to-end user journeys and identify breaks before users do.
• Maintain regression test suites to prevent feature regressions.
• Benchmark performance and monitor resource usage.
• Integrate third-party APIs and services for end-to-end testing.
• Validate rollback procedures and safe deployment healing.
• Keep Skylar data sources current and synchronized.
• Generate telemetry data for testing scenarios.
• Document environments, processes, and usage.

Skills

API integration

Node.js

Python

Frontend debugging

TypeScript

Full-stack debugging

REST/GraphQL

CI/CD automation

Playwright

Load testing

Docker

Kubernetes

Monitoring

OpenTelemetry

ServiceNow

LLM API

Prompt engineering

Documentation

Cross-functional collaboration

Tools

GitHub

GitOps

Prometheus

Grafana

K6

JMeter

SQL

OpenTelemetry SDKs

Job description

Role Overview

We are seeking a passionate and capable Full Stack Engineer to be part of our Skylar AI Platform team - our next-generation AI-powered observability platform. This role is key to ensuring we maintain regular software updates on a monthly cadence to our Skylar AI platform. You will ensure that the lab environment is always available to the engineering team. You will be the go‑to person in Product Engineering for end‑to‑end testing on Skylar AI, using AI to help solve problems, resolve tickets, and provide clear status updates. You’ll enable Product Management, Data Science, Quality, and Engineering teams to use the platform to verify and test as much as possible.

Responsibilities

• Lab Creation: Deploy and maintain a lab environment which will be used for development, testing, and staging. This will build on existing lab work that has been done and will support multiple environment types.
• Deployment pipelines: Automated tests trigger on every commit, validate builds, and confirm staging matches production.
• Cross-system workflows: Test data flowing from ingestion, Skylar AI processing, telemetry capture, and reporting dashboards.
• User journeys: Simulate real platform usage end-to-end and catch breaks before users do.
• Regression prevention: Maintain test suites that catch when new features break existing functionality.
• Performance gates: Automated testing validates response times, throughput, and resource consumption.
• Integration testing: Verify third-party APIs, databases, and services work correctly together.
• Rollback validation: Tests confirm systems safely recover after failed deployments.
• Keeping versions current: Setting up and keeping Skylar One/Advisor/Analytics (Dev + Stable) and other data sources current, operating, and in sync.
• Data generation: Set up and maintain telemetry generation from existing sources such as SkylarOne or workload simulations.
• Documentation: Ensure that documentation of the environment, processes, and uses is kept up to date.

Skills

Core Programming & API

• API use and integration, REST/GraphQL principles.
• Node.js and/or Python with a focus on automation development.
• Full-stack debugging and troubleshooting.
• JavaScript/TypeScript frontend development to be able to work with our front-end teams.

Testing & QA

• Test data generation and management.
• CI/CD pipeline automation (GitHub, GitOps, etc.).
• Test automation frameworks (Playwright).
• Load/performance testing tools (k6, JMeter, etc.).

Infrastructure & DevOps

• Docker and Kubernetes fundamentals.
• Monitoring and observability tools (SkylarOne, Prometheus, Grafana, etc.).
• Database optimization and query performance to help resolve issues found in testing.

Telemetry & ServiceNow

• Event logging and metrics collection.
• Trace aggregation and analytics platforms (OpenTelemetry).
• Management of ServiceNow.
• ServiceNow incident/change management workflows.
• ITSM best practices and ticketing.
• AI platform knowledge.
• LLM API consumption and integration.
• Prompt engineering basics.
• AI system debugging and validation.

Collaboration

• Cross-functional partnership with engineering, product, and data science.
• Proactive issue identification and escalation.
• Technical documentation and knowledge sharing.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or any other applicable legally protected characteristics in the location in which you are applying.