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Jobgether is seeking a Senior Software Engineer to develop scalable, data-intensive applications in a remote-first environment. The role involves designing ETL pipelines and robust APIs, requiring proficiency in backend development and strong problem-solving skills. Ideal candidates will have 5+ years experience and a passion for performance and scalability.
About Jobgether:
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
One of our companies is currently looking for a Senior Software Engineer in US / Canada.
We are looking for a Senior Software Engineer to help build scalable, data-intensive applications that power mission-critical systems. In this role, you will work on designing ETL pipelines, building high-performance APIs, and transforming large volumes of raw data into impactful products. You’ll collaborate with cross-functional teams including data science, product, and engineering, and contribute to backend infrastructure and data platform initiatives. This role is ideal for engineers with strong backend and data engineering experience, a passion for performance and scalability, and a hands-on approach to building systems from the ground up.
Accountabilities:
· Design and implement ETL pipelines capable of processing large-scale datasets efficiently.
· Build and maintain robust APIs for data retrieval, including support for complex query types.
· Architect scalable data storage and retrieval systems using SQL/NoSQL technologies.
· Transform raw data into structured, high-value data products to support business and operational decisions.
· Collaborate with internal stakeholders to align data architecture with product and customer needs.
· Document technical processes and mentor junior team members.
· Ensure performance, security, and scalability across the data platform.
Requirements
· 5+ years of experience building scalable backend applications and APIs.
· Proficiency in Go, Python, or Java, with a strong grasp of SQL and NoSQL databases (e.g., Bigtable, BigQuery, DynamoDB).
· Experience working with cloud infrastructure, preferably AWS or GCP, and CI/CD pipelines.
· Familiarity with containerization technologies such as Docker and Kubernetes.
· Strong problem-solving and analytical skills, with the ability to communicate complex concepts clearly.
· Understanding of credit, financial data, or regulated data environments is a plus.
· Bonus: Experience with tools like Apache Beam, Spark, Flink, Airflow, and schema management in distributed systems.
Benefits
· Competitive salary range: $140,000 – $160,000 plus equity with significant upside potential
· Remote-first culture — work from anywhere in the US or Canada
· Flexible paid time off, self-care days, and a year-end company-wide break
· Health, dental, and vision coverage for employees and dependents (US/Canada)
· 4% 401(k)/RRSP matching program
· One-time home office setup stipend and ongoing monthly meal & wellness stipends
· MacBook Pro provided
· Annual learning and development budget
· Monthly social stipend and access to expert financial advisory
Jobgether hiring process disclaimer
This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.
Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.
Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.
If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.
Thank you for your interest!
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