Platform Engineer - Skylar AI Platform
- Role
- DevOps
- Experience
- Senior
- Employment
- Full-time
Open to IN only. Set where you work from to check your eligibility.
No BS summary
Platform Engineer with 5–8 years of experience for a remote India role on an AI-powered observability platform. Needs automation, CI/CD, testing, DevOps, APIs, Kubernetes/Docker, monitoring, telemetry, ServiceNow, and LLM API basics.
Core skills
Required skills
About ScienceLogic…
ScienceLogic is redefining IT operations for the modern enterprise. Our AIOps platform empowers organizations to achieve Autonomic IT — where systems are self-healing, self-optimizing, and seamlessly aligned with business outcomes. We help enterprises and service providers gain unified visibility across hybrid and multi-cloud environments, automate workflows, and unlock performance at scale.
We’re accelerating digital transformation through the power of automation, AI, and analytics — giving IT and business leaders the tools to deliver superior customer experiences, drive efficiency, and innovate with confidence.
Role Overview-
We are seeking a passionate and capable Platform Engineer with experience of 5- 8 years 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 & 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 → confirm staging matches production
- Cross-system workflows: Test data flowing from ingestion → Skylar AI processing → telemetry capture → reporting dashboards
- User journeys: Simulate real platform usage end-to-end; 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: Setup and maintain telemetry generation whether from existing sources such as SkylarOne or workload simulations
- Documentation: Ensure that documentation of the environment, processes, and uses are 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
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
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.
About ScienceLogic
ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation.
What you'll do
- Deploy and maintain a lab environment for development, testing, and staging, supporting multiple environment types.
- Maintain automated deployment pipelines where tests trigger on every commit, validate builds, and confirm staging matches production.
- Test cross-system workflows from ingestion through Skylar AI processing, telemetry capture, and reporting dashboards.
- Simulate real platform usage end-to-end to catch breaks before users do.
- Maintain regression test suites that catch when new features break existing functionality.
- Validate response times, throughput, and resource consumption through automated performance gates.
- Verify third-party APIs, databases, and services work correctly together through integration testing.
- Validate rollback behavior so systems safely recover after failed deployments.
- Set up and keep Skylar One, Advisor, Analytics Dev and Stable, and other data sources current, operating, and in sync.
- Set up and maintain telemetry generation from existing sources such as SkylarOne or workload simulations.
- Keep documentation of the environment, processes, and uses up to date.
- Use AI to help solve problems, resolve tickets, and provide clear status updates.
- Enable Product Management, Data Science, Quality, and Engineering teams to use the platform to verify and test as much as possible.
What they require
- 5–8 years of experience as a Platform Engineer.
- Experience with API use and integration, REST/GraphQL principles.
- Experience with Node.js and/or Python focused on automation development.
- Full-stack debugging and troubleshooting ability.
- JavaScript/TypeScript frontend development ability to work with frontend teams.
- Test data generation and management experience.
- CI/CD pipeline automation experience.
- Experience with test automation frameworks.
- Experience with load/performance testing tools.
- Docker and Kubernetes fundamentals.
- Experience with monitoring and observability tools.
- Database optimization and query performance experience to help resolve issues found in testing.
- Event logging and metrics collection experience.
- Experience with trace aggregation and analytics platforms.
- Management of ServiceNow.
- ServiceNow incident/change management workflow experience.
- ITSM best practices and ticketing experience.
- LLM API consumption and integration experience.
- Prompt engineering basics.
- AI system debugging and validation experience.
- Cross-functional partnership with engineering, product, and data science.
- Proactive issue identification and escalation.
- Technical documentation and knowledge sharing.
Benefits
- Diverse, inclusive, and authentic workplace.
ScienceLogic is redefining IT operations for the modern enterprise. Its AIOps platform helps enterprises and service providers gain unified visibility across hybrid and multi-cloud environments, automate workflows, and improve performance at scale.