Senior Backend Engineer – Typescript (.Nodejs) / AWS

Remote from
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Mexico
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Employment type
Full Time,
Job posted
Apply before
15 Jul 2026
Experience level
Senior
Views / Applies
52 / 7

About Varicent

Own Your Revenue Growth

Actively Hiring
Verified job posting
This job post has been manually reviewed for authenticity and compliance.

AI Summary

Varicent, a leader in Sales Performance Management, seeks a Senior Backend Engineer to build and scale GenAI-powered features on AWS. The role involves developing production-grade AI systems, from prototype to deployment, with a focus on TypeScript/Node.js and cloud-native services. You'll work autonomously in a collaborative team, owning the full lifecycle of backend components including quality, release, and operational reliability. Ideal for an experienced individual contributor passionate about AI, distributed systems, and delivering high-quality SaaS solutions.

Role DNA

Job Complexity
Easy Hard
Pace & Pressure
Relaxed Fast-paced
Autonomy Level
Guided Full Ownership
Communication Load
Independent Highly Collaborative
AI Insight The role demands 5+ years of backend experience with deep expertise in TypeScript/Node.js, AWS, and GenAI, plus the ability to own end-to-end systems, making it suitable for highly skilled engineers.

Salary Analysis

Median Highly Competitive
$165,000
US Market
$120k – 200k
0 $220k
AI Insight The salary is not specified in the listing, but based on market data for Senior Backend Engineers with GenAI focus in the US, the median is around $165,000. This is competitive for the required skill set and experience level.

Key Skills

TypeScript Node.js AWS GenAI Backend Engineering SaaS Distributed Systems CI/CD Docker Kubernetes

Dear Hiring Team,

I am excited to apply for the Senior Backend Engineer position at Varicent. With over 5 years of backend development experience specializing in TypeScript, Node.js, and AWS, I have a strong track record of building scalable, production-grade systems. My recent work on GenAI features, including prompt engineering and integration with large language models, aligns perfectly with the role’s focus on AI-enabled product capabilities.

In my current role, I have led the development of cloud-native microservices, implemented CI/CD pipelines, and ensured high reliability through automated testing. I thrive in environments that balance rapid prototyping with robust productionization, and I am eager to bring my expertise to Varicent’s innovative SPM platform.

Thank you for considering my application. I look forward to the opportunity to discuss how I can contribute to your team.

Sincerely, [Your Name]

Describe a time you built a production-grade AI feature from prototype. What challenges did you face and how did you ensure scalability?
I worked on a GenAI-powered document summarization feature. We started with a fast prototype using a pre-trained model, then optimized for latency and cost by implementing caching and batch processing on AWS Lambda and Step Functions. Challenges included handling large payloads and ensuring consistent output quality; we addressed these with chunking strategies and automated evaluation pipelines.
How do you design a backend service to handle high-throughput data streams in AWS?
I would use a combination of Kinesis for data ingestion, Lambda or ECS for processing, and DynamoDB or S3 for storage. For stateful processing, I'd leverage Step Functions or KCL. I ensure idempotency and in-order processing through partitioning, and monitor using CloudWatch and X-Ray for tracing.
Explain your approach to measuring output quality for an AI feature without a dedicated QA team.
I implement automated evaluation metrics such as BLEU or ROUGE scores for text generation, and integrate structured human review through a feedback loop. For each release, we run regression tests on a curated dataset and track quality KPIs over time. I also set up logging to capture real-world inputs for continuous improvement.
Walk me through your experience with TypeScript and Node.js. How do you structure a large backend codebase for maintainability?
I use a modular architecture with clear separation of concerns (e.g., services, controllers, middleware). I enforce type safety with strict TypeScript config and use dependency injection to decouple components. I also implement comprehensive unit and integration tests, and follow consistent patterns like repository or DDD for business logic.
Describe a time you had to balance rapid prototyping with the need for production quality. How did you manage that trade-off?
In a recent project, we needed to quickly validate a GenAI feature. I built a minimal viable prototype with limited error handling to prove the concept, but I also set up basic monitoring and logging from day one. Once the concept was validated, we refactored the code to add robust error handling, retries, and performance optimizations before moving to production. I communicated the trade-offs clearly with stakeholders to set expectations.
At Varicent, we’re not just transforming the Sales Performance Management (SPM) market—we’re redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. Varicent stands at the forefront of innovation, celebrated as a market leader in the 2025 Forrester Wave Report for SPM2023 Ventana Research Revenue Performance Management (RPM) Value IndexGartner Peer Insights2024 Gartner SPM Market Guide, and G2. Our solutions are trusted by a diverse range of global industry leaders like T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody’s, Stryker and hundreds more. Here’s why you’ll thrive at Varicent:
  • Innovate with Purpose: Build impactful solutions for customers worldwide.
  • Join Excellence: Work in a diverse, collaborative, and innovative team.
  • Shape the Future: Lead in redefining revenue optimization.
  • Grow Together: Unlock your potential in a supportive environment.
Join us at Varicent—where your talent and ambition meet limitless opportunities for success!

At Varicent, we’re driven by the belief that great people power great companies. As our Senior Software Developer, GenAI, you’ll contribute to building and scaling production-grade AI systems that directly impact how our customers use and experience our products.

You’ll contribute to the delivery of GenAI-powered features, collaborate closely with technical leads, and play a key role in maintaining technical quality, reliability, and scalability across a core product area. This role is ideal for a strong individual contributor who enjoys hands-on development, learning new technologies, and turning ideas into high-quality production systems.

Overview
• Build and improve AI-enabled product features from prototype to production. You’ll work within an end-to-end engineering team that owns build quality, release readiness, and ongoing improvements.

What You’ll Do:
• Build and maintain product features and supporting backend components, including services, integrations, and internal workflows.
• Write production-ready code and lightweight prototypes to validate ideas quickly.
• Create automated tests and proactively fix issues to keep releases stable, as engineers own quality without a dedicated QA function.
• Support proof-of-concepts and experiments by setting up test cases, reviewing results, and improving areas where quality is weak.
• Document systems and workflows so others can run, maintain, and extend what you build.

GenAI Competencies You’ll Practice:
• Translate business problems into clear AI tasks and implement end-to-end solutions with guidance from technical leads.
• Prepare and maintain data and test cases used to measure output quality.
• Apply common AI application patterns such as prompting, using internal knowledge sources, and calling external tools or APIs.
• Measure quality using repeatable evaluation methods, including automated checks and structured human review when required.
• Contribute to production readiness through versioning, monitoring, basic performance and cost awareness, and usage tracking.
• Follow privacy, security, and compliance requirements in collaboration with Legal and Security teams.

How We Work:
• We balance exploration with delivery — test ideas quickly, then productionize what works.
• “Done” means quality goals are met, followed by continuous improvement in accuracy, cost, and performance.
• The team owns systems end-to-end, including build, release, and operational reliability.

What You Bring:

  • 5+ years of backend or full-stack engineering experience with a strong backend focus.
  • 4+ years working with Typescript / Node.js / C#.
  • Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
  • Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
  • Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

in ambiguous problem spaces.
• Strong interest in learning and applying GenAI technologies in practical, production environments.

Nice to Have:
• Hands-on experience with GenAI/LLMs, including prompt engineering, retrieval/RAG, embeddings, tool or function calling, fine-tuning, or evaluation pipelines.
• Familiarity with LLMOps practices such as experiment tracking, version control for prompts or models, and cost or latency optimization.
• Experience with tools such as LangChain/LangGraph, OpenAI, Anthropic, Azure OpenAI, and vector databases like Pinecone, FAISS, or Milvus.
• Contributions to open source, technical blogs, or conference talks.

Education:
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

 Note: 

  • This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
  • This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you’re working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

  • Market Leading Compensation Package.
  • Wellness Programs to Support Health and Wellbeing.
  • Working with the latest tools and technologies in a fast-paced environment.
  • Remote Work Flexibility.
  • Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
  • Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
  • Global Connected Culture: Hubs in Romania, UK, US, Canada.
  • Dynamic Work Culture: Thrive in our innovative and multicultural environment.
  • Grow with Us: Continuous development opportunities.
Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email [email protected]
 
Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our Job Applicant Privacy Notice and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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