Jumpcloud4mo ago

Software Engineer - SaaS Platform & Asset Management - Türkiye

AnkaraRemoteFull Timemid

EngineeringSoftware Engineer

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Quick Summary

Overview

All roles at JumpCloud are Remote unless otherwise specified in the Job Description.

Technical Tools

EngineeringSoftware Engineer

All roles at JumpCloud are Remote unless otherwise specified in the Job Description.

About JumpCloud

JumpCloud® delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. With JumpCloud, IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud is IT Simplified.

About the Role

As a Software Engineer on the SaaS Platform team, you will be an individual contributor delivering on product and technical roadmaps, reporting to the Engineering Manager. This role focuses on building and scaling the core Asset & SaaS Management services that allow our customers to track, secure, and optimize their resources at scale.

You will be hands-on with our development, focusing on designing new high-performance APIs, solving complex concurrency challenges, and optimizing data layers for our high-traffic environment. You will be responsible for the architectural integrity of our Go-based micro services, ensuring they communicate efficiently via gRPC and can handle massive spikes in data ingestion. You will not only contribute high-quality code but also participate heavily in design discussions, mentor other engineers, and take ownership of complex performance tuning and system observability initiatives.

Design, develop, and implement highly scalable backend services for our Asset & SaaS Management platform using Go (Golang).

Architect and build high-throughput microservices using gRPC and Protobuf, ensuring low-latency communication in a high-traffic distributed system.

Take ownership of the database layer using PostgreSQL; design efficient schemas, write complex optimized queries, and perform deep performance analysis to prevent bottlenecks.

Implement and maintain comprehensive observability pipelines using tools like Datadog, Prometheus, or Grafana to monitor system health, trace requests, and proactively identify performance degradation.

Design and implement asynchronous processing workflows for asset data synchronization using message brokers (e.g., Kafka, RabbitMQ, or AWS SQS).

Manage and deploy containerized applications using Kubernetes, ensuring high availability and zero-downtime deployments.

Collaborate with product managers to translate complex asset & saas management logic (lifecycle tracking, depreciation, audit trails) into robust technical solutions.

Write clean, maintainable, and well-documented code, adhering to Go best practices and effective error handling.

Participate in code reviews, providing constructive feedback and ensuring code quality, specifically looking for race conditions and memory leaks.

Troubleshoot and debug production issues in a complex microservices architecture, utilizing distributed tracing and log analysis.

4-6+ years of professional experience in software development, with a strong focus on backend systems and infrastructure engineering.

Strong proficiency in Go (Golang), with a deep understanding of goroutines, channels, and interface-based design patterns.

Proven experience working on high-traffic, large-scale SaaS applications where performance and concurrency are critical.

Deep expertise in PostgreSQL, including the ability to diagnose slow queries, optimize execution plans, and manage connection pools effectively.

Strong experience implementing gRPC services and defining rigid contracts using Protocol Buffers.

Hands-on experience with observability and APM tools (specifically Datadog, New Relic, or OpenTelemetry) to set up dashboards, alerts, and conduct root cause analysis.

Extensive experience with the complete DevOps lifecycle, including Git version control, CI/CD pipelines (e.g., Github, GitLab CI, Jenkins), and infrastructure-as-code.

Strong hands-on experience with Docker and Kubernetes for orchestrating services in a production environment.

Familiarity with distributed caching strategies (e.g., Redis) to offload database pressure.

Excellent problem-solving skills and the ability to work independently and as part of a team.

Strong communication and interpersonal skills.

Bachelor's degree in Computer Science, Software Engineering, or a related field.

Experience in API development and API integrations

Experience with cloud platforms (AWS or GCP)

Experience with CDC (Kafka, Debezium etc)

Experience with AI-assisted development tools (e.g., GitHub Copilot, Cursor).

Contributions to open-source Go projects or libraries.