Engineer - Data Engineering (MLOps)
The Big Picture
Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 55th in the Fortune 500 list and is the global leader in the trillion-dollar foodservice industry.
Sysco operates 333 distribution centers across 10 countries, with 75,000 colleagues serving approximately 670,000 customer locations, including restaurants, healthcare and educational facilities, lodging establishments, entertainment venues and more. For fiscal year 2026, which ended June 27, 2026, the company generated sales of more than $84 billion.
Sysco LABS Sri Lanka delivers the technology that powers Sysco’s end-to-end operations.
Sysco LABS’ enterprise technology is present in the end-to-end foodservice journey, enabling the sourcing of food products, merchandising, storage and warehouse operations, order placement and pricing algorithms, the delivery of food and supplies to Sysco’s global network and the in-restaurant dining experience of the end-customer.
The Opportunity
We are currently on the lookout for a Data Engineer - MLOps to join our team.
Responsibilities:
- Designing and developing data solutions for one of the world’s largest corporations involved in the marketing and distribution of food products
- Implementing distributed and highly available data processing applications that scale for enterprise demands on Cloud Services such as GCP
- Design, develop and maintain data pipelines integrating multiple source systems and targets.
- Evaluates ML model feasibility for optimal solution and convert model prototypes into production-ready machine learning models
- Manage production ready models for batch and real-time inference
- Implement CI/CD and CT workflows for ML systems
- Ensuring high code quality by following software engineering best practices
- Working collaboratively in a cross-functional team in an Agile delivery environment
- Adhering to DevOps principles and being involved in projects throughout their full software lifecycle: from development, QA, and deployment to post-production support
Requirements:
- A Bachelor’s Degree in Computer Science or equivalent, and 1-2 years of experience in developing enterprise grade data processing applications
- A strong programming background in data ops (Python, Shell, SQL)
- Experience in processing large volumes of data
- Hands-on experience working with relational/NoSQL databases and distributed storage engines
- Hands-on experience in ETL/ELT design and development using ETL/ELT tools such as but not limited to Airflow, Google Cloud Services such as Cloud Composer, Cloud Dataflow, Cloud Dataproc and Amazon Web Services such as Data Pipelines, Glue, Lambda, EMR, Spark, Hive
- Experience in working with streaming data (using tools such as Pub/Sub, Kafka, Storm, Spark) will be an added advantage
- Hands-on experience with Google Cloud Platform (GCP): Experience with services & serverless functions (e.g., BigQuery, Datastream, DataFlow, Pub/Sub, Cloud Functions, Cloud Run, Cloud composer, etc.) for data processing and orchestration will be an added advantage
- Strong understanding of Machine Learning and MLOps lifecycle with hands-on expertise in supervised and unsupervised learning, data preprocessing, and performance optimization
- Experience building production-ready ML solutions using containerization and orchestration technologies in Cloud platforms (AWS, GCP), hands-on experience in Gemini Enterprise Agent Platform (GEAP) will be an added advantage
- Experience working in a Scrum Agile delivery environment and DevOps practices
- Experience in code management and CI/CD tools such as Github, Gitlab and Jenkins
- A strong desire to continue to grow your skillset
- Strong communication skills that are influential and convincing
- Experience with application monitoring (Datadog, or equivalent) will be an added advantage
- A passion for building and maintaining data solutions (data warehousing, data marts, data lakes, data mesh) will be an added advantage
Benefits:
- 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.
Skills Required
- Bachelor’s degree in Computer Science or equivalent
- 1–2 years of experience developing enterprise-grade data processing applications
- Strong programming skills in Python, Shell, and SQL
- Experience processing large volumes of data
- Experience with relational or NoSQL databases and distributed storage engines
- Experience designing and developing ETL/ELT pipelines
- Experience with ETL/ELT tools such as Airflow, Cloud Composer, Cloud Dataflow, Cloud Dataproc, AWS Glue, AWS Lambda, EMR, Spark, or Hive
- Understanding of machine learning and the MLOps lifecycle
- Hands-on experience with supervised and unsupervised learning, data preprocessing, and performance optimization
- Experience building production-ready machine learning solutions using cloud containerization and orchestration technologies
- Experience working in Scrum Agile and DevOps environments
- Experience with code management and CI/CD tools such as GitHub, GitLab, or Jenkins
- Strong communication skills
- Experience with streaming data tools such as Pub/Sub, Kafka, Storm, or Spark
- Hands-on experience with Google Cloud Platform data processing and orchestration services
- Experience with Gemini Enterprise Agent Platform
- Experience with application monitoring tools such as Datadog
- Experience with data warehouses, data marts, data lakes, or data mesh
Sysco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sysco and has not been reviewed or approved by Sysco.
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Healthcare Strength — Multiple national medical plan options with telehealth, behavioral health resources, and targeted programs indicate broad coverage and support. Preventive care access and ancillary offerings (dental, vision, Rx advocacy) further reinforce the package.
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Retirement Support — A 401(k) with automatic company contributions plus a match, alongside an employee stock purchase plan, underscores solid retirement support. At union locations, enhanced pension terms add to perceived long‑term value.
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Pay Growth & Progression — Recent collective bargaining outcomes with substantial wage increases demonstrate meaningful pay progression where contracts apply. In high‑volume markets, incentive structures can amplify earnings beyond base rates.
Sysco Insights
What We Do
Sysco is the global leader in selling, marketing and distributing food and related products to customers who prepare meals away from home. This includes restaurants, healthcare and educational facilities, lodging establishments, entertainment venues, and more. Sysco operates almost 340 distribution centers, in over 10 countries, with 76,000 colleagues serving approximately 730,000 customer locations. The company generated sales of more than $81 billion in fiscal year 2025 that ended June 28, 2025. As the world’s largest food-away-from-home distributor, Sysco offers customized supply chain solutions, bespoke specialty product offerings, and culinary support to drive customers to innovate and optimize their operations. We act as a trusted business partner to our customers, helping them grow through our industry-leading portfolio that includes fresh produce, premium proteins, specialty products, sustainably focused items, equipment and supplies, and innovative culinary solutions. For more information, visit www.sysco.com. For important news and key information for Sysco investors, visit the Investor Relations section of the company’s website at investors.sysco.com.
