Senior Kotlin/Spring Boot Engineer

SolutionIT, Inc.

Phoenix, AZ, United States

26 days ago

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Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$141,440.0 - $162,240.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Software Debugging Distributed Systems Fault Tolerance Gradle Hibernate (Java) Java Persistence API Python (Programming Language) PostgreSQL OAuth Large Language Models

+9 more

Grafana Spring-boot Backend Fastapi Kotlin Integration Tests Codebase Api Design Docker

Job description

Design and harden the Kotlin/Spring Boot runtime that executes workflow graphs reliably in production.
Implement and improve Temporal.io workflows, activities, signals, queries, retries, and recovery paths.
Strengthen contract-first APIs and shared contracts.
Own failure-mode thinking across distributed execution retries, idempotency, partial failure, replay safety, pause/resume, and graceful degradation.
Work across node types, including HTTP, agentic tool-calling, LLM, and human-in-the-loop review nodes.
Improve integration coverage using Test containers and layered Docker Compose profiles.
Collaborate closely with Composer and AI/KB teams on execution semantics and runtime behavior.

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Requirements

Strong production Kotlin backend experience.
Strong Spring Boot experience in distributed systems or platform services.
Hands-on Temporal experience in production.
Strong understanding of workflow durability, retries, idempotency, and recovery design.
Experience with multi-module Gradle codebases and contract-first API design.
Experience with JPA/Hibernate and PostgreSQL.
Experience with Docker Compose/Test containers integration testing.
Comfort debugging multi-service systems with mixed Kotlin and Python components.
Experience with observability tools like micrometer
Experience with contract first development

Strong Pluses:

Experience with DAG/workflow/orchestration engines.
Experience with AI/LLM/agent runtimes or other non-deterministic execution systems.
Familiarity with FastAPI-based workers and cross-language integration.
Experience with auth/token provider abstractions, OAuth2/JWT, or cached token acquisition.
Experience writing operational docs, runbooks, and reliability guidance.