Staff Software Engineer - Platform Engineering & SRE
- Equinix
- 2 - 7 years
- Bengaluru
- 3 months ago
- Email to a friend
- Report this job
Job Description
Who are we
Job Summary
We are looking for a highly skilled and motivated Platform Engineering SRE Staff Engineer to join our team. As a Platform Engineering SRE, you will play a critical role in developing, maintaining and improving the reliability, scalability, and performance of our systems, ensuring seamless user experiences. This position blends software engineering and systems engineering expertise to create automated solutions for operational challenges.
Responsibilities
Reliability and Performance
- Ensure the high availability, reliability, and performance of production systems and services
- Implement and maintain disaster recovery plans and procedures
- Monitor and manage system health using metrics, logs, and tracing to proactively identify and resolve issues
Automation and Infrastructure
- Automate repetitive tasks, including deployment, scaling, monitoring, and remediation of systems
- Build and maintain infrastructure as code ( IaC ) using tools like Terraform, CloudFormation, or similar
Incident Management
- Participate in incident response and troubleshooting efforts to minimize downtime and resolve issues quickly
- Conduct root cause analysis for system failures and implement preventive measures to avoid future incidents
- Respond to incidents, perform root cause analysis, and implement solutions to prevent recurrence
- Maintain incident response playbooks and ensure efficient on-call rotations
Observability and Monitoring
- Design and implement monitoring solutions using tools like Prometheus, Grafana, Datadog, or similar
Collaboration
- Work closely with development, QA, and operations teams to ensure smooth delivery of applications
- Act as a bridge between software engineering and operations, advocating for DevOps best practices
- Document system configurations, processes, and procedures to ensure knowledge sharing and maintain system integrity
Capacity and Scalability
- Conduct capacity planning and optimize system scalability to meet future demands
- Implement strategies for horizontal and vertical scaling of applications
Security and Compliance
- Ensure infrastructure security by implementing best practices and addressing vulnerabilities
- Collaborate with the security team to meet compliance standards and audits
Data Engineering Automation
- Develop and maintain scalable and efficient data pipelines
- Automate data workflows for ETL/ELT processes, integrating data from various sources into data warehouses and other storage solutions
- Develop and maintain solutions for data transformation, data modelling, and automate the orchestration of data processing
Data Warehouse Management
- Implement and maintain modern data warehouse architectures, ensuring effective data storage, retrieval, and accessibility
- Work with cloud-based data warehouses (e.g., BigQuery , Snowflake, Redshift) and optimize data models for analytics and reporting
- Develop and manage dimensional models, star/snowflake schemas, and data marts for operational and analytical use cases
Real-time and Batch Data Processing
- Build and manage real-time and batch data pipelines for high-volume data ingestion, processing, and analytics
- Leverage technologies such as Apache Kafka, Apache Beam, Apache Spark, and Google Cloud Dataflow for streaming and batch processing
Qualifications
Experience
- 5+ years of experience in a Data Platform including Site Reliability Engineering, DevOps, or Systems Engineering role
Technical Skills
- Strong programming skills in languages such as Python, Java, or similar
- Experience in developing Data ingestion pipelines, Governance, Quality and automation
- Experience in cloud platforms such as Google Cloud / AWS / Azure
- Hands-on experience with CI/CD pipelines using tools like GitHub Actions, Jenkins
- Exposer to containerization and orchestration technologies like Docker and Kubernetes
- Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK Stack)
Methodologies
- Knowledge of Software Engineering, Data Modelling and SDLC
- Understanding of SRE principles, including SLIs, SLOs, and error budgets
- Knowledge of incident management frameworks and root cause analysis techniques
Soft Skills
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
Preferred Qualifications
- Familiarity with configuration management tools (e.g., Ansible, Puppet, Chef)
- Background in performance testing and load testing
Tools Technologies
- Google Cloud Platform
- Python, Java, SQL
- Apache Beam/Spark/Google Cloud Dataflow
- Apache Airflow
- Prometheus, Grafana, ELK Stack, Terraform, Ansible, Puppet , Github Actions, Kafka, Docker, Kubernetes
Job Classification
Industry: InternetFunctional Area / Department: Engineering - Software & QA,
Role Category: Software Development
Role: Software Development - Other
Employement Type: Full time
Contact Details:
Company: EquinixLocation(s): Bengaluru
+ View Contact
Keyskills: Automation Analytical Performance testing Data processing Incident management Troubleshooting Operations Analytics SDLC SQL
Fraud Alert to job seekers!
₹ Not Disclosed
Similar positions
Equinix
Amazon.com strives to be Earth\'s most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerc...
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in