Job Title

About Our Client:Our client is a premier technology leader specializing in high-performance software solutions for complex, regulated industries. Known for driving operational excellence through precision-engineered platforms, they build mission-critical systems that optimize data integrity, security, and compliance. Their engineering teams operate at the forefront of large-scale system integration, leveraging advanced computing methodologies to enhance scalability, resilience, and interoperability across distributed environments.The Role: Seeking a Senior Solution Engineer / Integrations Engineer with deep expertise in designing and implementing high-throughput, enterprise-grade integrations. This role demands strong proficiency in API development, distributed architectures, and containerized environments. Candidates must demonstrate a robust understanding of protocols, authentication mechanisms, and data transformation techniques within large-scale infrastructures.Core Responsibilities:Architect, build, and optimize high-performance integration frameworks for distributed systems.Develop and maintain scalable APIs, event-driven architectures, and data pipelines for seamless interoperability.Implement fault-tolerant, secure, and low-latency data exchange solutions across heterogeneous environments.Design high-availability integration patterns that support real-time and batch processing workloads.Engineer and maintain internal tooling and automation frameworks to enhance system efficiency.Debug, profile, and optimize integration layers for latency reduction, throughput enhancement, and resource optimization.Secure integrations using OAuth, JWT, TLS, and modern cryptographic protocols.Ensure compliance with enterprise security and data protection standards while handling structured and unstructured data.Lead technical deep-dives, code reviews, and performance tuning initiatives.Deploy and manage integrations in containerized and cloud-native ecosystems.Implement and monitor observability frameworks for real-time analytics, tracing, and logging.Required Technical Expertise:3+ years of hands-on development with JavaScript, TypeScript, Java, Python, or similar languages.Strong expertise in API lifecycle management, RESTful services, and asynchronous messaging architectures.In-depth knowledge of protocols (HTTP, WebSockets, gRPC, AMQP, MQTT, Kafka, RabbitMQ).Experience with cloud platforms (AWS, Azure, GCP) and managed integration services.Solid grasp of containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, Helm, CloudFormation).Proficiency in data serialization and transformation (JSON, XML, Avro, Protocol Buffers).Experience in distributed logging, monitoring, and tracing (ELK, Prometheus, Grafana, OpenTelemetry).Strong understanding of CI/CD pipelines, Git workflows, and automated deployment strategies.Working knowledge of SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, DynamoDB).Experience handling data consistency, transaction management, and eventual consistency models.Preferred Technical Strengths:Experience with edge computing architectures and federated integration models.Knowledge of real-time stream processing frameworks (Apache Flink, Spark Streaming, Kinesis, Pub/Sub).Understanding of service mesh frameworks (Istio, Linkerd) for traffic management and security.Exposure to high-frequency data processing, AI-assisted development pipelines, and multi-cloud strategies.This is a deeply technical, execution-driven role requiring expertise in high-performance integration design and complex system orchestration. Ideal candidates should have a strong foundation in modern computing paradigms, security, and scalable architecture patterns.