Roles Responsibilities: As a Staff Engineer, you will tackle complex challenges, analyzing situations and data with a keen eye for detail. Your role involves leading the team in designing and implementing significant functional changes to existing or new software systems. You will exercise sound judgment to determine when to build novel solutions and when to extend existing ones. This role combines technical expertise, leadership, and mentorship, making you a pivotal part of the team s success. Your ability to communicate complex ideas simply and drive high-quality software will be instrumental in achieving project goals.
Key Responsibilities:
- Technical Leadership: Take a leading role within the team, providing technical guidance and expertise.
- Collaborate with other engineers, sharing knowledge and fostering a collaborative environment.
- Model data driven decision making.
- Simplify complicated concepts for effective communication.
- Exemplary Work: Set the bar high by delivering exemplary software contributions in production.
- Model highly available, low-latency, and efficient software solutions.
- Document code, technical designs, and operational processes to ensure clarity for fellow engineers.
Set and uphold high bars for engineering and operational excellence.
Coach and mentor junior engineers up to Senior Software Engineer level.
Provide input to leadership on development needs and growth opportunities for team members.
Drive best practices within the team, setting the standards for quality.
Mentorship and Coaching:
Quality Standards:
Drive best practices within the team, setting the standards for quality.
Ensure that software meets rigorous quality criteria
Strategic Input:
Collaborate with leadership to shape development strategies.
Identify growth opportunities and contribute to the team s success
What to Bring:
- Bachelor s degree with 9 - 13 years of experience as a software developer. Proficient in Java (Spring Boot or Vert.x framework is a plus) or other JVM languages.
- Strong CS fundamentals; strong technical understanding of Kubernetes-based microservice architectures, messaging services, DB services, API gateways, service mesh, and infrastructure-as-code technologies/processes.
- Direct experience with at least one cloud provider (AWS, GCP, Azure, or other).
- Experience in building and operating global-scale large platform services in non-prod and prod environments.
- Experience in large volume transaction systems, data migration workflows, with a focus on quality, precision, and accuracy metrics.
- Data Science and Machine Learning skills, Python, SQL, Data Wrangling, Statistical Modeling skills is a plus
- Knack for operationalizing workflows into a self-serve system with appropriate guardrails.
- Experience establishing and improving data-driven infrastructure and service KPIs such as performance, scale, availability, reliability, security.
- A strong understanding of security best practices and a high bar for protecting customer data.
- Operational experience (i.e., on-call rotation, incident response, playbooks)
- Ability to collaborate effectively with remote peers across disparate geographies and time zones.
- Excellent written and verbal communication skills with emphasis on technical documentation
What We Offer:
A Great Place to work. Equal opportunity employer Fast-track growth opportunities.
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