Senior Engineer, Applications & Platforms - R01570286
- Posted 14 days ago
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Job Description
Senior Engineer, Applications & Platforms
Job requirements
Experience Range: With at least 7 + years of hands-on experience in integration middleware engineering, specifically working with platforms such as Mulesoft, Boomi, Workato, and similar tools in product environments. Key Responsibilities:
Job requirements
Experience Range: With at least 7 + years of hands-on experience in integration middleware engineering, specifically working with platforms such as Mulesoft, Boomi, Workato, and similar tools in product environments. Key Responsibilities:
- Architect and implement foundational control plane services for enterprise integration and API management platforms, ensuring scalability and reliability.
- Develop and maintain comprehensive catalogs for integrations, connectors, APIs, and policies, driving platform extensibility.
- Manage API lifecycle processes including creation, publishing, versioning, and deprecation, delivering seamless platform updates.
- Enforce robust API authentication, authorization, OAuth2/OIDC, API keys, quotas, throttling, and rate limiting to ensure secure access control.
- Integrate with API Gateways such as Kong, APISIX, or equivalents, optimizing for performance and security.
- Configure and optimize load balancers and runtime managers to maximize platform uptime and efficiency.
- Establish and manage DEV, TEST, UAT, and PROD environments, implementing automated promotion and rollback procedures.
- Define and uphold CI/CD and infrastructure-as-code standards, ensuring consistent and high-quality deployments.
- Mulesoft Anypoint Platform
- Boomi or Workato platform expertise
- API Gateway integration (Kong, APISIX)
- OAuth2/OIDC implementation
- RBAC and multi-tenant architecture
- PostgreSQL database management
- CI/CD pipeline development
- Infrastructure-as-code (e.g., Terraform, CloudFormation)
- Secrets management integration
- Enterprise identity provider integration
- Experience with Celigo or other iPaaS platforms
- Policy engine integration (e.g., OPA)
- Event-driven architecture and messaging systems
- API/developer portal implementation
- Audit and observability foundations
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field
- MuleSoft Certified Developer or equivalent integration platform certification
- Certification in API management or cloud-native architectures (such as AWS Certified Solutions Architect or Google Professional Cloud Developer)
More Info
Key Skills
PostgreSQL database management
Secrets management integration
RBAC and multi-tenant architecture
Boomi or Workato platform expertise
API Gateway integration Kong APISIX
Infrastructure-as-code e.g. Terraform CloudFormation
CI CD pipeline development
OAuth2 OIDC implementation
Enterprise identity provider integration
Mulesoft Anypoint Platform
About Company
Skills:
Java, Oauth2, Boomi, Workato, Typescript, Distributed Systems, Python, Dedicated Load Balancer, Anypoint Exchange, API Manager, Access Management, Monitoring and Runtime Manager, API architecture, Mulesoft Anypoint Platform, OIDC
Skills:
Api Development, Soap, Devops, Json, AWS, Distributed Systems, Redis, Xml, JDBC, REST, API lifecycle management, MuleSoft Anypoint Platform, Relational Databases, performance optimization, API strategy, integration patterns, microservices architecture, API monitoring
Skills:
oracle linux , Yaml, Maven, PowerShell, Ant, Red Hat Enterprise Linux, Groovy, UNIX, Jenkins, Git, Shell scripting, Azure DevOps, Azure OpenAI, Azure AI Foundry, GitHub Copilot, Installshield, CI CD pipeline development, Bicep, Linux platforms
Skills:
snowflake , S3, Github, ELT, Apache Airflow, Lambda, Ec2, Kinesis, Aws Cloud, Python, Data Modelling, Hadoop, Scala, Dynamodb, Emr, Redshift, Sql, Erwin, Hive, Cloudwatch, Spark, Linux Unix, Etl, Slowly Changing Dimensions, HDFS, CI CD pipeline development, Glue, Athena, AI tools technologies
Skills:
containerisation with Docker, secrets management, pipeline automation with Azure DevOps, networking and load balancing, relational and non-relational databases, developing production-grade backend services using Python, asynchronous programming frameworks, cloud provisioning frameworks such as Terraform or CloudFormation, infrastructure-as-code, LLM API gateway technologies, container orchestration such as ECS Fargate, identity and access management technologies, observability and monitoring tools, multi-provider integration across major cloud AI platforms