Staff Software Engineer , Backend

What You'll Bring

• Education & Experience

• BS/MS in Computer Science or related field (or equivalent industry experience)

• 7+ years

  of experience delivering large-scale enterprise-class applications

• Technical Proficiency

• Proficiency in

  Java

  or other mid-tier programming languages
• Strong understanding of

  microservices architecture

  ,

  container technologies

  (e.g.,

  Kubernetes

  ,

  Docker

  ,

  Mesos

  )
• Hands-on experience with

  CI/CD pipelines

  ,

  automated testing (TDD, unit/integration)

  , and

  instrumentation

• Solid foundation in

  algorithms, design patterns

  , and

  data structures

• Expertise in

  Relational (SQL)

  and

  NoSQL databases

  with scalable design and optimization
• Experience building

  cloud-native applications

  (AWS, GCP, or Azure)
• Strong understanding of

  cross-platform and cross-browser design considerations

• AI Integration & Application

• Proficient in integrating

  AI models

  into production applications, using techniques such as

  LLM prompting

  ,

  AutoML

  , or other

  ML/AI APIs

• Skilled in evaluating and tuning AI/ML performance in real-world environments
• Ability to

  lead AI integration efforts

  , including guiding junior engineers and cross-functional teams on AI best practices
• Familiarity with

  AI-native architecture principles

  and GenAI technologies

• Leadership & Communication

• Excellent verbal and written communication skills
• Strong collaboration skills to work across

  engineering, product, AI/data science, and design

  teams
• Demonstrated ability to

  mentor engineers

  and foster a high-performance, inclusive team environment

How You Will Lead

• Architect, Design, and Deliver

• Lead the

  design and development of scalable

  , secure, and maintainable software systems
• Own full-stack components or platform layers from ideation to production launch
• Design AI-integrated services with

  real-time performance and accuracy considerations

• Drive Innovation with AI

• Integrate AI/ML models into new or existing applications
• Work closely with data science and ML teams to

  operationalize AI solutions

• Continuously evaluate emerging technologies and

  apply AI-native thinking

  to build intelligent systems
• Propose and lead

  AI-driven product features

  or internal efficiency solutions

• Lead Through Influence

• Be a go-to technical leader for the team
• Mentor junior developers and contribute to engineering best practices
• Advocate for high engineering standards, including

  code reviews

  ,

  observability

  , and

  security-by-design

• Collaborate Across Boundaries

• Partner with

  global teams

  across time zones and business units
• Work cross-functionally with

  product managers

  ,

  UX designers

  ,

  AI/ML engineers

  , and

  DevOps teams

• Influence key decisions through clear, concise technical and business communication

• Deliver with Excellence

• Ensure high quality through test automation and a commitment to

  operational excellence

• Monitor performance, identify bottlenecks, and proactively resolve production issues
• Deliver measurable improvements in

  user experience

  ,

  application performance

  , and

  system reliability

Preferred Skills (Bonus)

• Experience with

  GraphQL, gRPC, or event-driven architectures

• Familiarity with

  observability tools

  (e.g., Datadog, Prometheus, Splunk)
• Contributions to

  open-source AI or DevOps tooling

• Published research, blog posts, or patents related to AI or scalable systems