About us / Senior Full-Stack Engineer 8298 B

Senior Full-Stack Engineer 8298 B

LATAMHR

Join Akvelon — build products used by millions!


Akvelon is a global software engineering company with 20+ years of experience. We help leading tech companies like Microsoft, Meta, Dropbox, Airbnb, Pinterest and others,
turn complex ideas into real products.
Today, our team includes 1,200+ engineers working across 15+ locations worldwide.

Why grow with us?
  • Work on impactful projects for Fortune 500 companies and fast-growing startups
  • Remote-first culture with flexible working hours
  • Opportunity to grow in areas like AI/ML, Cloud, and Big Data
  • Strong engineering culture focused on real impact, not bureaucracy

About the role


Our client creates high-load systems for processing large volumes of data, which help make important business decisions.

As part of this effort, we’re looking for a Senior Full Stack Engineer who can take ownership of core system components and transform legacy synchronous workflows into highly concurrent, scalable architectures.

This is a hands-on role for someone who enjoys solving complex performance challenges, working close to the metal with concurrency, and designing systems that are both fast and reliable at scale.

You’ll be joining a global, engineering-driven environment focused on real-time data processing, distributed systems, and high-load applications, used by professionals who rely on speed and accuracy every day.

Requirements

  • Strong expertise in C#, including multi-threading and parallel processing
  • Deep understanding of concurrency models and synchronization
  • Proven experience with performance tuning and application profiling
  • Advanced SQL skills (query design, optimization, large-scale data operations)
  • Hands-on experience with Apache Spark
Nice to have
  • Experience working with AWS or other cloud platforms
  • Background in high-load or data-intensive systems

Responsibilities

  • Design and build highly concurrent, multi-threaded applications in C#
  • Re-architect legacy systems into scalable, thread-safe solutions
  • Identify and eliminate bottlenecks: improve throughput, latency, and system efficiency
  • Work with complex data pipelines: design and optimize SQL queries, data transformations, and staging processes
  • Use Apache Spark for large-scale distributed data processing
  • Deploy and operate systems in AWS, ensuring scalability and cost efficiency
  • Diagnose and resolve concurrency issues, perform profiling, and drive continuous performance improvements
  • Collaborate with engineering and product teams to deliver production-ready solutions
Availability expectations
  • Full-time engagement aligned with ET (Eastern Standard Time) business hours



Collaboration Benefits

  • Career Development

    Individual approach and career growth opportunities

  • Professional Certification

    External certification on various technologies by Microsoft, Google, Amazon, and other companies

  • Mentorship

  • Corporate Events

  • The flexibility to work

    Either in our collaborative office environment or remotely

Didn't find a match?

Just submit your CV through our Talent Pool form to allow us to discover your potential and stay in touch.


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