Senior Software Engineer in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer in United States.

This role offers the opportunity to build and scale high-performance backend systems and data-intensive platforms powering advanced AI-driven marketing and revenue technologies. You will work on complex, distributed systems that process large-scale data and enable intelligent, real-time decision-making for enterprise customers. The environment is highly collaborative, bringing together engineers, data scientists, and product teams to deliver impactful, production-grade solutions. You will contribute across the full development lifecycle, from system architecture and design to deployment and optimization. A strong emphasis is placed on performance, scalability, and engineering excellence in a fast-paced, innovation-driven setting. This position is ideal for a senior engineer who thrives at the intersection of backend engineering, data systems, and applied machine learning. You will also play a key role in shaping technical direction and elevating engineering practices across the team.

In this role, you will design, build, and optimize scalable backend systems and data pipelines while contributing to machine learning-driven features and cross-functional product development.

• Design and implement scalable backend systems focused on performance, resilience, and maintainability.
• Build and optimize large-scale data pipelines using technologies such as Apache Spark and SQL.
• Collaborate with data scientists to develop, refine, and deploy machine learning models into production environments.
• Apply statistical, mathematical, and optimization techniques to improve data models and system performance.
• Develop features using multiple programming languages, including Scala, Python, and Java.
• Work closely with product managers and cross-functional teams to deliver impactful software solutions.
• Contribute to system architecture design, code reviews, and engineering best practices.
• Mentor other engineers and support continuous improvement of development processes and technical standards.

The ideal candidate is a highly experienced software engineer with strong expertise in backend systems, data engineering, and applied machine learning in distributed environments.

• Bachelor’s degree (or equivalent) in Computer Engineering, Information Systems, Applied Mathematics, or related field.
• 5+ years of progressive experience in software engineering or a related role.
• Strong proficiency in Scala, Java, and Python.
• Experience with applied machine learning and generative AI techniques.
• Hands-on experience with big data technologies such as Spark, Hadoop, and AWS EMR.
• Familiarity with databases including Iceberg, DynamoDB, and PostgreSQL.
• Experience with infrastructure and DevOps tools such as Docker, Linux, Airflow, Terraform, and AWS.
• Strong understanding of scalable system design and distributed computing principles.
• Ability to collaborate effectively with data science and product teams.
• Experience working in progressively responsible engineering roles with increasing technical ownership.

• Competitive annual salary of $249,000
• Remote work flexibility (telecommuting allowed)
• Opportunity to work on large-scale AI and data-driven systems
• Highly collaborative and innovative engineering environment
• Strong focus on professional growth and technical ownership
• Exposure to cutting-edge technologies in AI, ML, and distributed systems
• Inclusive workplace culture with strong commitment to diversity and equity
• Opportunity to influence architecture and engineering best practices at scale