Software Engineer II
TASC
full-time
Posted on:
Location Type: Office
Location: Gurgaon • India
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About the role
- Serve as a data engineering (and MLOps) subject matter expert at Mastercard, responsible for end-to-end ownership of data pipelines, model deployment, and productionization of approved AI solutions.
- Design and maintain robust, scalable, and secure data architectures ensuring compliance with Mastercard’s standards for data governance, privacy, and regulatory requirements across ingestion, storage, access, and retention.
- Translate complex technical requirements into clear, actionable solutions that align with business objectives and stakeholder needs.
- Collaborate with global teams to understand business problems, ensuring data and infrastructure readiness for AI/ML initiatives.
- Build and optimize data pipelines, feature stores, and model serving frameworks to enable efficient training, fine-tuning, and continuous improvement of AI models.
- Implement CI/CD workflows for data and models, including automated testing, monitoring, and rollback strategies to ensure reliability and resilience in production environments.
- Identify opportunities for reusable components and standardized templates, enabling a microservice approach to scaling AI solutions across Mastercard.
- Leverage open-source and enterprise-grade technologies for data engineering, orchestration, and deployment to deliver high-performance solutions.
- Work cross-functionally with data scientists, architects, and product teams to operationalize AI models and integrate them seamlessly into Mastercard’s ecosystem.
- Champion a learning and innovation culture, continuously advancing AIDE capabilities and best practices for data engineering.
Requirements
- Proven ability to deliver production-grade AI data engineering solutions in complex, matrix environments.
- 6+ years in data engineering/MLOps, building pipelines and deploying models at scale.
- Core expertise:
- Java (primary) for high-performance services and microservices.
- Kubernetes for container orchestration, Helm, autoscaling, secure deployments.
- Cloudera (CML/CDE) for Spark/HDFS workloads and governance.
- Apache NiFi for secure, auditable data flows.
- Strong skills in data pipelines, feature stores, Spark, Kafka, Hive, SQL, and model lifecycle (packaging, serving, monitoring, rollback).
- Hands-on with CI/CD, infra-as-code, observability, and enterprise security (RBAC, PKI, compliance logging).
- Familiarity with Python for ML workflows; partner effectively with data scientists.
- Experience with collaboration tools (Confluence, Bitbucket) and SAFe or similar frameworks.
- Knowledge of payments industry and regulatory context is a plus.
Benefits
- Corporate Security Responsibility
- All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
- Abide by Mastercard’s security policies and practices
- Ensure the confidentiality and integrity of the information being accessed
- Report any suspected information security violation or breach
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringMLOpsJavaKubernetesClouderaApache NiFiSparkKafkaHiveSQL
Soft skills
collaborationproblem-solvingcommunicationinnovationstakeholder management