Senior Software Engineer (US)

Lynx Analytics

$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong knowledge of Python for production-grade software development.
  • Experience in designing software architectures for scalability.
  • Hands-on experience with cloud environments (AWS, Azure, GCP).
  • Practical skills in Docker and Kubernetes container technologies.
  • Basic understanding of AI components and related technologies.
  • Experience in systems design within cloud-native or distributed systems.
  • Proven experience in project planning and team mentoring.

Responsibilities

  • Design, develop, and maintain high-quality software solutions using Python.
  • Contribute to scalable and maintainable software architecture design.
  • Deploy and monitor applications in cloud environments.
  • Build and manage applications using Docker and Kubernetes.
  • Support AI and analytics solution deployment with data scientists.
  • Collaborate with cross-functional teams for end-to-end solution delivery.
  • Engage in technical discussions and architectural reviews.

Benefits

  • Work on impactful AI and analytics solutions.
  • Collaborate with a diverse global team.
  • Exposure to cutting-edge AI technologies and cloud platforms.
  • Experience a culture of ownership and minimal micromanagement.
  • Access rapid learning opportunities and unique challenges.
  • Enjoy flexible work hours and a remote-friendly setup.
  • Benefit from a flat organizational structure with high visibility.
Full Job Description
About the Role:

We are looking for a Senior Software Engineer to join our growing engineering team. In this role, you will design, build, and operate scalable software platforms that support analytics and AI solutions. You will lead system architecture, cloud deployments, and modern containerized environments, while collaborating with multidisciplinary teams across regions.

What This Involves:
  • Design, develop, and maintain high-quality software solutions using Python.
  • Contribute to the design and evolution of scalable and maintainable software architectures.
  • Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP).
  • Build and manage containerized applications using Docker and Kubernetes.
  • Support the development and deployment of AI and analytics solutions, working closely with data scientists and data engineers.
  • Collaborate with cross-functional and client-facing teams to deliver end-to-end solutions.
  • Participate in technical discussions, architectural reviews, and continuous improvement initiatives.

Skills, Qualifications and Experience:
  • Strong Python knowledge with experience building production-grade software.
  • Experience designing software architectures for scalable applications.
  • Hands-on experience operating and deploying solutions in cloud environments (any major cloud provider).
  • Practical knowledge of container technologies and architectures, including Docker and Kubernetes.
  • Basic understanding of AI solution components and technologies, such as LLMs, vector databases, APIs/protocols, and supporting infrastructure.
  • Experience in systems design, particularly in cloud-native or distributed environments.
  • Experience creating project implementation plans, timelines, and effort estimations.
  • Experience leading or mentoring engineering teams and driving projects to completion.

Why You Will Love It Here:
  • Work on real-world AI and advanced analytics solutions with measurable business impact.
  • Collaborate with a global team of engineers and data scientists.
  • Exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.
  • A collaborative culture that values real outcomes
  • High ownership, zero micromanagement
  • Rapid learning opportunities and diverse challenges
  • Flexible work hours, remote-friendly setup
  • Flat organisational hierarchy with high visibility and accessibility to our leaders

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