Senior Software Engineer - Bruin Platform Full Stack

• Must be a strong full-stack engineer with the fundamentals and judgment to work effectively alongside AI tooling and to operate with high autonomy.
• 7+ years of professional software engineering, with significant time spent shipping production full-stack applications.
• Strong proficiency in at least two modern programming languages, with .NET and TypeScript/JavaScript (Node.js) preferred, plus working knowledge of multiple language ecosystems (e.g., Python, Go, Java).
• Solid React + TypeScript experience building complex, data-driven web applications; comfort with modern front-end tooling.
• Production experience with a modern backend framework (e.g., ASP.NET Core, NestJS, FastAPI, or similar).
• Hands-on experience designing and operating microservices and event-driven architectures, including production work with Kafka and Redis (or similar messaging and caching infrastructure).
• Relational database experience and proficiency with ORM frameworks; familiarity with MSSQL a plus given Bruin's existing data layer.
• Hands-on experience with containerized deployment (Kubernetes, Docker), and comfort with CI/CD pipelines.
• Familiarity with cloud platforms (AWS, Azure, or GCP) as adjacent experience — many of the patterns transfer to our on-premise environment.
• Comfort reading and reasoning about systems you didn't build — legacy codebase analysis and modernization are central to this role.
• Demonstrated proficiency with AI-assisted development tools (Claude Code, Copilot, Cursor, or similar) as a core part of your engineering workflow.
• Strong communication skills; able to articulate technical decisions to engineering peers and non-technical stakeholders.

• Experience building AI-powered or AI-augmented application features — chat interfaces, agent integrations, tool-use surfaces, RAG patterns, or similar.
• Workflow / orchestration engine experience (Temporal.io, Dagster, or similar).
• Previous experience contributing to a brownfield modernization.
• Experience building data-intensive applications — large-scale data pipelines, real-time analytics, high-throughput event processing, or systems where data volume and consistency are first-class design concerns.
• Search and analytics infrastructure exposure (Solr, OpenSearch, StarRocks, ClickHouse, or similar).
• Telecom, managed services, or B2B platform domain experience.
• Certifications in AWS, Azure, GCP, or Kubernetes.

*The salary range reflected is a good faith estimate of base pay for the primary location of the position.

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets.

The U.S. pay for this position ranges from $150,000.00 to $180,000.00 annually.

Pay varies by work location and may also depend on job -related knowledge, skills, experience and abilities of the successful candidate.

Your recruiter can share more about the specific salary range for the job location during the hiring process.

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MetTel is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws.

To learn more about our company visit us at www.mettel.net