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Senior Rust Remote Jobs in Tampa, FL (NOW HIRING)

Bond-Pro Inc

Senior Software Engineer (Remote)

Tampa, FL · Remote

$125K - $165K/yr

SENIOR SOFTWARE ENGINEER Overview We're looking for a Senior Software Engineer who can operate ... Rust, TypeScript/Node.js or C# with the versatility to pick up new languages as project needs ...

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$23.6K

$75.9K

$154.5K

How much do senior rust remote jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior rust remote in Tampa, FL is $75,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,200.00 and $97,300.00 per year, depending on experience, location, and employer.

What is a senior Rust remote job?

Senior Rust Remote jobs are advanced software engineering positions that focus on developing applications using the Rust programming language, typically for companies that support remote work. These roles generally require several years of experience with Rust and a strong understanding of systems programming concepts, performance optimization, and safe concurrent programming. Senior Rust developers often lead projects, mentor junior team members, and design complex software architectures. Working remotely allows professionals in these roles to collaborate with global teams and contribute to open-source or proprietary projects from anywhere in the world.

What are the key skills and qualifications needed to thrive as a senior Rust developer working remotely?

To thrive as a Senior Rust Developer, you need advanced programming skills in Rust, a strong understanding of systems architecture, and several years of software development experience. Familiarity with tools like Cargo, Git, CI/CD pipelines, and experience integrating Rust with other technologies are typically required, along with a proven track record of delivering production-ready code. Strong problem-solving abilities, excellent communication, and self-motivation are essential soft skills for remote collaboration and project ownership. These skills ensure you can build robust, high-performance software while effectively contributing to distributed teams and complex projects.

What are some common challenges faced by senior Rust developers working remotely, and how can they be addressed?

Senior Rust developers working remotely often face challenges such as coordinating complex projects across distributed teams and maintaining code quality in asynchronous environments. Effective communication using collaboration tools, thorough documentation, and regular code reviews are essential strategies to mitigate these challenges. Additionally, proactively engaging in architecture discussions and staying updated on evolving Rust best practices help ensure alignment and project success. Building strong relationships with team members through virtual meetings also fosters a sense of connection and shared purpose.

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Senior Software Engineer (Remote)

Bond-Pro Inc

Tampa, FL • Remote

$125K - $165K/yr

Full-time

Posted 13 days ago

Job description

SENIOR SOFTWARE ENGINEER


Overview 

We're looking for a Senior Software Engineer who can operate independently within an Agile team, take ambiguous requirements from concept to production, and bring architectural judgment to how we structure and process data at scale. This is not a developer from a particular tech stack, but rather a true software engineer who can and will work with any number of languages without restriction. 

We are only accepting candidates currently residing in the state of Florida, Georgia or Texas at this time.


Responsibilities 

  • Work within a Scrum/Agile team through the full sprint cycle backlog refinement, sprint planning, capacity estimation, daily standups, sprint review, and retrospectives. 
  • Participate in requirement refinement sessions with product owners and stakeholders, turning ambiguous asks into well-scoped, estimable stories. 
  • Apply modern software design patterns and enforce separation of concerns across the codebase, ensuring components remain loosely coupled and independently testable. 
  • Design and build proofs of concept (POCs) to validate new approaches before committing to full implementation. 
  • Integrate AI/ML and/or NLP components into production systems. 
  • Design and implement systems that handle structured (CSV, relational), semi-structured (JSON), unstructured, and schema-bound formats like Avro, including the tradeoffs between them for storage, processing and schema evolution. 
  • Contribute to big data architecture and design patterns batch and/or streaming pipelines, data partitioning, and scalable processing approaches. 
  • Collaborate with UI/UX on interface design decisions, ensuring frontend implementation aligns with usability and design intent. 
  • Mentor junior developers through code review, pairing, and design discussions. 

Required Qualifications 

  • Proven experience working in Scrum/Agile teams, including sprint planning, capacity estimation, and iterative delivery. 
  • Strong grasp of modern design patterns (e.g., strategy, factory, repository, observer) and the "separation of concerns" principle able to explain not just what it is, but why it matters for maintainability and testability. 
  • Experience with UI/UX collaboration and requirement refinement. 
  • Hands-on experience with structured, semi-structured, unstructured, and schema-based data formats (CSV, JSON, Avro). 
  • Big data technology experience (e.g., Spark, Kafka, Hadoop ecosystem or equivalent) and associated design patterns. 
  • Demonstrated experience building and validating POCs. 
  • Experience designing and building microservices architectures service decomposition, inter-service communication (REST/gRPC/event-driven messaging), API contracts and independent deployability. 
  • Strong understanding of data layer and persistence design patterns repository pattern, unit of work, CQRS, data access layer abstraction, ORM vs. raw query tradeoffs, caching strategies and both relational (SQL) and NoSQL database design. 
  • Experience with cloud platforms AWS, Azure or Google Cloud Platform (GCP) including core compute, storage, and managed data services on at least one major provider. 
  • Experience with Machine Learning, NLP or AI applied experience integrating AI/ML components into production systems. 

Desirable 

  • Proficiency in one or more modern languages beyond your primary stack Python, Scala, Go, Java, Kotlin, Rust, TypeScript/Node.js or C# with the versatility to pick up new languages as project needs evolve. 
  • Multi-cloud exposure across AWS, Azure, and GCP, and familiarity with cloud-native patterns (containers, Kubernetes, serverless, managed data/streaming services).