Senior Backend Engineer (Cloud) (Accessibility Product House)

Posted Yesterday
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Hiring Remotely in Warsaw, Warszawa, Masovian
In-Office or Remote
Senior level
Software
The Role
Design and implement scalable backend solutions for a SaaS platform, focusing on accessibility compliance, performance, and integrating cutting-edge technologies.
Summary Generated by Built In
Company Description

Join a fast-growing leader in digital accessibility! Seeking a Backend Engineer to build scalable SaaS solutions using Go or JVM, cloud tech, and modern architectures. 

We’re looking for an experienced Backend Engineer to join our client's innovative team. In this role, you’ll be responsible for designing and implementing scalable, distributed backend solutions for a SaaS platform. 

CUSTOMER

Our Customer is a market-leading web and mobile accessibility software company focused on providing accessibility automation to enterprises. Their AI-enabled products save time and reduce risk via proprietary discovery and analysis algorithms that integrate directly into software development pipelines.

Job Description

  • Design and implement scalable, distributed backend solutions for a SaaS platform  

  • Architect and deliver complex systems focused on accessibility compliance  

  • Plan, execute, and maintain large-scale software delivery systems 

  • Monitor and optimize all aspects of product performance  

  • Research, evaluate, and integrate cutting-edge technologies into the backend architecture  

  • Troubleshoot issues across various backend services and infrastructure  

  • Collaborate on evolving the product's core architecture to meet performance and scale requirements  

  • Lead or contribute to hands-on technical architecture and SaaS infrastructure decisions 

Qualifications

  • 5+ years of experience with Golang or JVM languages 

  • Proficiency with at least one major cloud provider (GCP, AWS, or Azure), including serverless and container-based deployments. 

  • Expertise in modern software design practices 

  • Experience with multiple data stores/services (SQL, NoSQL, ElasticSearch, BigQuery, etc.) 

  • Knowledge of high-scale stream/batch processing systems (e.g., Flink, Spark, Kafka) 

  • Extensive experience in managing and maintaining production systems 

  • At least Upper-Intermediate level of English. 

 

WOULD BE A PLUS

  • Understanding of distributed systems and microservices architecture 

  • Familiarity with Kubernetes and container orchestration platforms. 

  • Experience with ClickHouse or other high-performance databases.  

Top Skills

AWS
Azure
BigQuery
Elasticsearch
Flink
GCP
Go
Jvm
Kafka
Kubernetes
NoSQL
Spark
SQL
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The Company
New York, New York
1,516 Employees

What We Do

Sigma Software Group, an award-winning and trusted IT partner, has been serving customers for over 21 years, providing comprehensive IT solutions to various businesses, ranging from startups to established software product houses. As one of Europe's substantial IT consultancies, it brings together a dedicated workforce of over 2,100 professionals in 40 offices across 19 countries. With a diverse client base, including more than 300 enterprises, including Fortune 500 stalwarts, Sigma Software Group is a preferred choice for developing solutions that help businesses create cutting-edge products while meeting their unique needs.

Sigma Software Group operates as a dynamic ecosystem of tech companies, offering 25 ready-to-implement innovative products and 40+ value-added services. Furthermore, Sigma Software Group is committed to fostering innovation through initiatives such as the Sigma Software Labs business incubator, Sigma Software University, the SID Venture Partners VC Fund, UA Tech Network, Techosystem, the European Business Association, and other collaborative efforts.

Since 2015, Sigma Software Group has consistently earned recognition on the IAOP's prestigious World's Top 100 Outsourcing list. The company's accomplishments have also been acknowledged by prominent global media outlets such as Forbes, CNBC, The Times, and Reuters

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