Senior Software Engineering Manager

Job Title : Senior Manager, Software Engineering, Back End

Location : Texas, United States (Remote)

Job Type : Full Time

Job Summary:

Our client, a leading innovator in the financial services and technology space, is searching for a Senior Manager of Software Engineering to help drive the next generation of digital products. This role offers the chance to work alongside forward-thinking engineering, product, and design leaders who continuously push boundaries and challenge traditional approaches. You’ll play a critical role in shaping new platforms, guiding high-impact initiatives, and helping bring transformative solutions to market.

Key Responsibilities

• Oversee multiple engineering initiatives and guide a team of skilled developers specializing in microservices, distributed systems, and modern full-stack technologies.
• Foster a culture of technical curiosity—exploring emerging tools, contributing to engineering communities, mentoring peers, and periodically engaging in hands-on code reviews or development.
• Partner closely with digital product teams to deliver resilient, scalable cloud-native applications that empower millions of customers.
• Work with a diverse technical stack including Java, Python, SQL, Node.js, Go, Scala, modern relational and NoSQL databases, Kubernetes, Docker, and a wide range of AWS cloud services.

Minimum Qualifications

• Bachelor’s degree.
• 6+ years of professional software engineering experience (excluding internships).
• 1+ year of experience working with major cloud platforms (AWS, Azure, or GCP).
• 4+ years of experience managing and leading engineering teams.

Preferred Qualifications

• Master’s degree.
• 9+ years of hands-on experience with one or more core languages: Java, Scala, Python, Go, or Node.js.
• 3+ years working with big-data ecosystems and large-scale distributed computing technologies (e.g., Hadoop, Hive, EMR, Kafka, Spark, MapReduce).
• Experience leveraging machine learning frameworks such as TensorFlow, PyTorch, Spark ML, Dask, or scikit-learn.
• Proven background building production-grade data pipelines and architecting ML systems for scale and performance.
• 2+ years leading teams focused on ML-driven solutions.
• 3+ years working within cloud environments (AWS, Azure, GCP, etc.).
• Extensive experience using open-source development frameworks.
• 7+ years of engineering leadership experience.
• Familiarity with Agile methodologies.