Information Technology USA - USA Developer

Senior Engineer/Developer - Kotlin / Spring Boot Workflow Runtime Backend & Runtime Engineering Design, develop and maintain scalable Kotlin/Spring Boot backend services and workflow runtime components. Build APIs and platform services that support long-running, asynchronous and distributed business workflows. Implement reliable execution patterns including idempotency, retries, timeout handling, compensation, failure recovery and safe reprocessing. Develop event-driven integrations using Kafka and REST APIs. Temporal / Workflow Orchestration Design and implement durable workflows using Temporal.io, including Workflows, Activities, Signals and Queries. Ensure workflow code is deterministic and replay-safe, and design versioning strategies for workflows running across software releases. Build reusable workflow components, execution controls, state management and operational tooling for production environments. Diagnose workflow failures and improve runtime resiliency, observability and recoverability. Platform, Data & Cloud Integrate workflow services with PostgreSQL, NoSQL stores and enterprise APIs. Containerize and deploy services using Docker and Kubernetes on cloud platforms. Build and maintain CI/CD pipelines, automated tests, quality gates and deployment controls. Implement logging, metrics, tracing, dashboards and alerts for production runtime services. Engineering Leadership Own software delivery from design through production support. Participate in architecture and design reviews, code reviews and technical decision making. Mentor engineers and promote clean code, testing, security, reliability and operational excellence. Collaborate with product, architecture, QA, DevOps and platform teams to translate requirements into maintainable technical solutions. AI Enablement - Preferred Support integration of LLM/agent workloads with durable workflow execution where applicable, including tool invocation, human-in-the-loop steps and reliable orchestration. Generic Managerial Skills, If any Strong communication and collaboration skills. Ability to lead technical discussions, mentor engineers, work independently, troubleshoot complex distributed-system issues, and drive end-to-end delivery in an Agile environment. Essential Skills 8+ years of software engineering experience with strong hands-on backend development. Strong production experience with Kotlin/JVM and Spring Boot. Experience building distributed workflow/orchestration platforms and production-grade runtime services. Kotlin / JVM Strong hands-on Kotlin development, including coroutines, null safety, collections, functional programming, and Java interoperability. Strong Java fundamentals and experience with modern JVM applications. Spring Boot & Backend Engineering Spring Boot, Spring Framework, Spring Data JPA/Hibernate and REST APIs. Microservices and distributed systems design with API-first architecture. Strong understanding of concurrency, asynchronous processing, idempotency, retries, timeouts, failure handling, and resilient service design. Workflow Runtime / Orchestration Strong production experience with Temporal.io is highly preferred. Hands-on knowledge of durable workflows, Activities, Signals, Queries, retries, workflow state, replay-safe/deterministic execution, long-running processes, and failure recovery. Messaging & Data Kafka or equivalent event-driven messaging platform. PostgreSQL and strong SQL skills; exposure to MongoDB/Redis or other NoSQL technologies. Experience designing transaction-safe, idempotent and auditable distributed processing. Cloud, Containers & DevOps Docker, Kubernetes and CI/CD pipelines. AWS / GCP / Azure cloud experience. GitHub Actions / Jenkins; Terraform is preferred. Observability using Splunk, Grafana, Prometheus, ELK or equivalent. Testing & Engineering Quality JUnit, Mockito and integration testing. Testcontainers or equivalent container-based integration testing is preferred. Contract-first API development and contract testing experience is preferred. AI / Modern Engineering - Preferred Exposure to AI/LLM application runtimes, AI agents, RAG, tool calling, LangChain/LangGraph or similar frameworks is a plus. Ability to integrate AI-driven workloads into secure, reliable enterprise backend platforms. Real Soft