Senior Operations Engineer
Confirmed live in the last 24 hours
Sysco
Job Description
JOB DESCRIPTION
Senior Operations Engineer - Data Platforms
The Big Picture
Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 56th in the Fortune 500 list and is the global leader in the trillion-dollar foodservice industry.
Sysco employs over 75,000 associates, has 337 smart distribution facilities worldwide, and over 14,000 IoT-enabled trucks serving 730,000 customer locations. For fiscal year 2025 that ended June 29, 2025, the company generated sales of more than $81.4 billion.
Sysco LABS Sri Lanka delivers the technology that powers Sysco’s end-to-end operations. Everything we do at Sysco LABS supports Sysco’s Purpose of “Connecting the world to share food and care for one another”, and our work directly impacts millions of food consumers in a trillion-dollar, global industry.
For more information visit: www.syscolabs.lk
THE OPPORTUNITY
We are looking for a Senior Operations Engineer - Data Platforms to join our team.
RESPONSIBILITIES
- Monitor & Maintain: Oversee data pipelines and cloud infrastructure, ensuring optimal performance, availability, and reliability.
- Proactive Issue Detection: Implement monitoring and logging solutions to detect and minimize ETL failures and service disruptions.
- Reactive Support & Troubleshooting: Provide production support, validate data integrity, and resolve technical issues within SLA commitments.
- Collaboration & Incident Management: Work closely with data engineering and incident response teams for seamless issue resolution.
- Incident Analysis & Proactive Problem Management: Perform post-mortem analysis, document troubleshooting best practices, and improve knowledge-sharing processes.
- Automation & Scripting: Develop and maintain Python and Shell scripts to automate operational workflows, reduce manual effort, and improve system reliability.
- Cloud Optimization & Scaling: Optimize and scale cloud-based data platforms across AWS, Azure, and GCP, ensuring cost efficiency, high availability, and improved system performance.
- Work on a 24/7 support roster, ensuring continuous availability for business-critical operations.
REQUIREMENTS
- Bachelor's degree in information technology, Data Engineering, Computer Science, or related field.
- 3 –4 years of experience in production support, platform reliability preferably in a Data Centric environment.
- Strong analytical and problem-solving mindset with a passion for improving reliability and automation.
- Ability to work effectively in high-pressure operational environments, balancing incident responses with long-term reliability improvements.
- Excellent communication and collaboration skills when working across engineering, operations, and support teams.
- Strong proficiency in SQL, Shell scripting, and Python.
- Hands-on experience with ELT/ETL processes, Apache Airflow, Informatica is a plus.
- Experience with cloud-based data technologies, including AWS (EC2, S3, Lambda, RDS, Glue, Redshift, Athena, EMR, DynamoDB) & GCP ( BigQuery , Cloud Composer, Cloud Storage, DataStreams )
- Experience monitoring and troubleshooting data pipelines and cloud infrastructure within GCP environments is highly desirable.
- Knowledge of DevOps & DataOps best practices, including CI/CD pipelines (Jenkins, GitHub Actions), Infrastructure as Code (Terraform), Monitoring & observability tools (Datadog), Experience in Containerization (Docker , Kubernetes)
- Experience in network infrastructure and system administration on Windows Server and UNIX/Linux environments.
BENEFITS
- US dollar-linked compensation
- Performance-based annual bonus
- Performance rewards and recognition
- Agile Benefits - special allowances for Health, Wellness & Academic purposes
- Paid birthday leave
- Team engagement allowance
- Comprehensive Health & Life Insurance Cover - extendable to parents and in-laws
- Overseas travel opportunities and exposure to client environments
- Hybrid work arrangement
Sysco LABS is an Equal Opportunity Employer.
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