Principal Member Technical Staff

Responsible for driving Technology & good practices in Engineering in their respective teams. Partner with the Product team to translate vague business requirements into concrete, feasible technical roadmaps. Actively participate in development along with team members for as much as 60% of their time, creating modules & systems that can then be treated as a working reflection of the best practices. Cross-System Integration ensuring data flow seamlessly & consistently across ingestion, processing and data deliveries to end customers. Work closely with Data Science, DevOps, and Frontend architects to ensure our backend infrastructure supports emerging needs. Being responsible for Scaling, Performance & Quality. Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create. Implementation of long-term technology vision for your teams. Creating architectures & designs for new solutions around existing and new problem spaces. Responsible for the architecture of your platform; ensuring it is aligned to the long term requirements and the platform vision. Drive technology & tool choices for your team & be responsible for them. Drive technology forums & rhythms in the team to drive best practices. Establish organization-wide engineering standards (coding guidelines, API contracts, security protocols, design standards) to ensure consistency across different teams. Mentor and guide Senior engineers, fostering a culture of learning and collaboration within the team. Going beyond your role and contributing to make the organization & business better.

Responsibilities

Responsible for driving Technology & good practices in Engineering in their respective teams; Partner with the Product team to translate vague business requirements into concrete, feasible technical roadmaps; Actively participate in development along with team members for as much as 60% of their time, creating modules & systems that can then be treated as a working reflection of the best practices; Cross-System Integration ensuring data flow seamlessly & consistently across ingestion, processing and data deliveries to end customers; Work closely with Data Science, DevOps, and Frontend architects to ensure our backend infrastructure supports emerging needs; Being responsible for Scaling, Performance & Quality; Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create; Implementation of long-term technology vision for your teams; Creating architectures & designs for new solutions around existing and new problem spaces; Responsible for the architecture of your platform; ensuring it is aligned to the long term requirements and the platform vision; Drive technology & tool choices for your team & be responsible for them; Drive technology forums & rhythms in the team to drive best practices; Establish organization-wide engineering standards (coding guidelines, API contracts, security protocols, design standards) to ensure consistency across different teams; Mentor and guide Senior engineers, fostering a culture of learning and collaboration within the team; Going beyond your role and contributing to make the organization & business better

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field; 15+ years of professional experience in software engineering, with a proven track record of designing, developing, and scaling complex, enterprise-grade applications from scratch; Advanced proficiency in Java, Scala, or Python ecosystems optimized for high-throughput, low-latency workloads; Deep expertise in microservices architecture, RESTful API design, Domain-Driven Design (DDD), and building highly available, fault-tolerant, resilient systems; In-depth knowledge of asynchronous communication, messaging queues, and event-driven architectures; Strong command of distributed data architectures, data engineering constructs, and building scalable data pipelines, including expertise in both real-time streaming and batch processing paradigms (e.g., Lambda or Kappa architectures); Deep understanding of designing, scaling, and optimizing a variety of datastores across both SQL and NoSQL; Working knowledge of machine learning and data science concepts to effectively integrate ML models and data workflows; Extensive hands-on experience designing for cloud environments (primarily AWS), leveraging cloud-native platform constructs, and driving cost-efficient architecture (FinOps); Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes); Deep understanding of system observability, distributed tracing, telemetry, and establishing robust monitoring for large-scale production systems; Strong knowledge of CI/CD tools and practices; Proven experience with Test-Driven Development (TDD) and automated testing frameworks to ensure system reliability; Standard-bearer for modern SDLC practices, understanding of software development methodologies (Agile, Scrum, etc.), and infrastructure management; Exceptional problem-solving skills with the ability to navigate architectural ambiguity, work highly independently, and elevate a team environment; Excellent communication and interpersonal skills to mentor senior engineers, collaborate with cross-functional stakeholders, and drive technical alignment

Nice to have

Familiarity with languages like Rust, Golang for performance critical components & services is a strong plus; Familiarity with front-end technologies (e.g., HTML, CSS, JavaScript) is preferred