[Hiring] Platform Engineer @System Soft Technologies

Role Description

• Collaborate proactively with internal support teams, vendors, and customers for enhancements and break/fix support.
• Complete key project work and support activities, prioritizing features and requirements based on business value and impact.
• Establish and follow best practices in the implementation and execution of support processes.
• Design and develop modern, API-based and event-driven integrations between enterprise applications, leveraging RESTful principles and Confluent Kafka to build robust, scalable solutions that support both synchronous and asynchronous data flows.
• Build and support Kafka-based integrations in Python, including:
  • Developing and maintaining producer and consumer clients (Python) for event publishing and stream consumption.
  • Designing event payloads and enforcing contracts using schemas (e.g., Avro/JSON Schema) and Confluent Schema Registry.
  • Working with Kafka topics (naming conventions, partitions, retention, compaction where applicable) in partnership with platform operations.
  • Implementing reliability patterns (idempotency, retries, dead-letter/error topics, replay/backfill strategies).
• Actively participate in code reviews and design discussions.
• Stay informed about new applications, features, and APIs to leverage them to solve business problems efficiently.

Qualifications

• 6-8+ years of software engineering experience with proficiency in at least two programming languages; strong Python proficiency required (Java or C# a plus).
• Hands-on experience developing event-driven integrations using Kafka, with preference for Confluent Kafka.
• Experience building/maintaining Kafka producer/consumer applications, including message serialization and schema evolution practices.

Requirements

• Extensive experience with integration technologies, including APIs, microservices, ETL, message brokers, and event-driven architecture, as well as standard formats and protocols (e.g., Avro, SOAP, REST, JSON, XML) to support both synchronous and asynchronous workflows.
• Strong Confluent Kafka development experience, including:
  • Designing event models and managing topic strategy (throughput, partitions, ordering constraints, retention).
  • Using Confluent Schema Registry (compatibility modes, schema evolution, versioning).
  • Building robust producer/consumer patterns (delivery semantics, consumer groups, rebalancing considerations, error handling).
• Familiarity with Kafka tooling/observability (lag monitoring, metrics, logs, tracing) and troubleshooting production issues.
• Proven expertise with cloud platforms like AWS, hands-on experience with CI/CD pipeline tools (e.g., Jenkins, GitLab CI), and infrastructure as code (IaC) practices using tools like Terraform, applying DevOps practices within secure software development life cycles.
• Extensive experience with Kubernetes, Argo CD, Kafka, and Helm for containerization and orchestration, as well as monitoring tools (e.g., Grafana, Mimir) to ensure observability and operational efficiency.
• Strong understanding of API management (e.g., API Gateway, Apigee) with demonstrated experience in designing and implementing API gateways.
• Proficiency in relational and NoSQL databases (e.g., PostgreSQL, MongoDB) to support robust integration workflows.
• Deep understanding of event-driven architecture and experience in designing systems that use canonical data models and business objects for consistent and scalable data flows across enterprise applications.
• Knowledge of data security best practices and compliance standards (e.g., GDPR, HIPAA), as well as familiarity with role-based access control (RBAC) and identity and access management (IAM) practices.
• Experience working in Agile or Scrum environments with a strong emphasis on collaboration with cross-functional teams for effective and collaborative project delivery.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to prioritize and manage multiple tasks and projects in a fast-paced, dynamic environment.