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# Senior Software Engineer

- **Company:** Marigold
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, C Sharp (Programming Language), Cloud Computing, Code Review, Databases, DevOps, Elasticsearch, NoSQL, Object-Oriented Software Development, Message Oriented Middleware, Software Engineering, Software Systems, SQL Databases, Amazon Relational Database Service, Containerization, Kubernetes, Deployment Automation, Performance Monitor, AWS Fargate, Apache Kafka, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines, Docker, Microservices
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/kslkh9oii6

## About the Role

* Mindset: Team-first, inquisitive problem-solver with real passion for continuous learning, comfortable pairing your own judgment with AI-assisted tooling rather than treating either as a replacement for the other.
 * Work Style: Thrives independently and collaboratively in a remote setting.
 * Communication: Skilled at turning complex ideas into actionable strategy, in writing and in conversation.
 * Team Enablement: A natural mentor who brings others along, not just someone who "helps when asked."

Ideal Qualifications

 * Experience: 9+ years in software development with proven OOP commercial expertise with Java and at least another language (C# preferred), experience with Kafka (other message bus systems considered too) and microservices.
 * Technical Skills: Deep acumen in system design, scalable architecture, cloud technologies (AWS preferred) and modern software practices. Strong background in infra, DevOps and tools like Docker, Terraform, Kubernetes.
 * Database Knowledge: Comfortable across both SQL and NoSQL systems.
 * AI-Augmented Engineering: Real, daily experience with AI coding/review assistants, and a track record of critically evaluating their output rather than accepting it blindly.

_Missing a few skills? That's fine. We value curiosity, growth and the drive to contribute.

## Description

We're looking for a highly experienced Senior Software Engineer to join our dynamic, fully remote team. You'll work alongside people who genuinely know their craft, in a flexible environment built around real work-life balance: no burnout culture, no pretending "flexible" means "always on." This role blends technically challenging work with the room to influence how we build and shape engineering practices.

What You'll Do

 * Develop, Own & Maintain: Build and own robust software solutions using strong Object-Oriented Programming principles, applying sound judgment about when to trust, verify, or override AI-assisted output as part of your daily workflow.
 * Architect & Modernise: Contribute to technical direction, facilitate architectural conversations and coach teammates through complexity. Design scalable systems and modernise legacy ones with an eye for maintainability and thoughtful abstraction, including spotting where AI-assisted automation (code review, triage, docs, skill-building) can responsibly cut manual toil.
 * Operate & Evolve: Own and evolve the messaging/event infrastructure that underpins our downstream systems, using Kafka and other message bus tools to keep it reliable and scalable.
 * Cloud Infrastructure: Collaborate on AWS services including Fargate, Bedrock, EC2, ECS, SNS/SQS, RDS, Elasticsearch and more.
 * DevOps Excellence: Work with containerization (Docker, Kubernetes), infrastructure as code (Terraform) and deployment automation.
 * Database Management: Apply SQL and NoSQL expertise to support scalable data solutions.
 * On-Call Support: Lead and participate in rotational on-call duties, driving reliability improvements and proactive monitoring.
 * Collaboration & Document: Work across disciplines to shape roadmap, improve developer experience and drive learning through code reviews, while championing documentation and design records that stand the test of time. Partner with our internal tooling teams, surfacing real-world feedback that shapes how AI-driven orchestration, review, and triage tools evolve across engineering.
 * Mentor & Motivate: Support other engineers through mentoring and example, building a collaborative, inquisitive team culture.