Automation Specialist

Job Description

Role : Automation Specialists

Location : Offshore/India

Who are we looking for?

We are looking for 8+ years experience in Automation Specialists, who would design, implements, and maintains automated systems and process to improve efficiency and productivity.

Technical Skills :

- Five or more years of experience with Python, Java, automation tools (Ex.RPA, CI/CD tools) and testing frameworks.

- Exposure in General AI tools

- Experience with ML, deep learning, TensorFlow, NLP

- Experience in Full stack observability with Splunk (preferred) / Datadog, Infra monitoring, App onboarding and APM

- SRE focused on Splunk experience

- Communication skills, especially for explaining technical concepts to nontechnical business leaders

- Experience in building or maintaining ETL processes

- Experience in insurance domain

- Professional certification.

- Strong understanding of distributed systems: They need to understand the complexities of modern architecture, including microservices, cloud-native environments, and hybrid infrastructure.

- Proficiency in observability tools: They are familiar with tools for logging, metrics, and tracing, such as ELK Stack, Prometheus, Grafana, and distributed tracing systems.

- Data analysis and visualization skills: They can analyze telemetry data to identify trends and patterns and create visualizations to communicate insights.

- Scripting and automation: They can automate tasks and create scripts to manage observability infrastructure.

- Should have experience with cloud platforms like AWS, Azure, and GCP

Key Responsibilities and Skill :

- Understand infra monitoring and App onboarding

- Create a factory model to onboard applications to Splunk

- Understand the application of architecture to instrument them for observability. Need to automate the onboarding of applications in a factory model.

- Use agile software development processes to make iterative improvements to our back end systems

- Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis

- Build data pipelines that clean, transform, and aggregate data from disparate sources

- Develop and expand PubSub models and scaling event/messaging architectures

- Establish and extrapolate Ontological/Semantic standards

- Designing and Implementing Observability Pipelines: Observability engineers create robust pipelines to collect, aggregate, and analyze data from various sources.

- Monitoring and ing: They establish monitoring systems and s to detect anomalies and performance issues in real-time.

- Metric & Instrumentation Standards: Defining common metric standards for every stage of the Application Lifecycle process and Instrumentation standards and scripting including

OTel standards alignment

Data Analysis and Visualization: They analyze telemetry data (logs, metrics, traces) to gain insights into system behavior and identify trends.

Incident Response: They investigate and troubleshoot incidents, using observability data to understand the root cause and implement solutions.

- Collaboration and Communication: They collaborate with development, SRE, and other teams to ensure observability practices are integrated into workflows and to share insights.

- Staying Up-to-Date: They stay current with the latest trends in observability, logging, monitoring, and cloud technologies.

- Documentation and Knowledge Sharing: They create comprehensive documentation for observability systems and processes and share knowledge with other teams .