Staff Software Engineer - Platform Engineering & SRE

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