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Senior Manager, Software Engineering (Data & Storage Services)

Posted about 2 months agoViewed

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💎 Seniority level: Manager, 10+ years

📍 Location: USA

💸 Salary: 232000 - 310000 USD per year

🔍 Industry: Financial technology

🏢 Company: Affirm👥 1001-5000💰 Post-IPO Equity about 4 years ago🫂 Last layoff almost 2 years agoLendingFinancial ServicesPaymentsFinTech

🗣️ Languages: English

⏳ Experience: 10+ years

🪄 Skills: AWSLeadershipKafkaKubernetesStrategySparkCommunication SkillsStakeholder management

Requirements:
  • Solid leadership and interpersonal skills.
  • 10+ years of experience managing diverse and inclusive teams.
  • Proven track record in stakeholder management and successful delivery.
  • Expertise in large-scale, distributed compute and data processing systems.
  • Familiarity with frameworks like Spark, Flink, and Kafka on cloud providers.
  • Capable of mentorship and cross-functional project execution.
  • Strong communication skills with a growth mindset.
  • Experience in data infrastructure and passion for leading technical teams.
Responsibilities:
  • Lead a team of engineers and managers to develop frameworks and tools for new products.
  • Oversee teams managing various storage services and infrastructure.
  • Drive business metrics and promote a culture of reliability and productivity.
  • Collaborate with tech leads and product managers on project planning and delivery.
  • Provide leadership and mentorship to team members and manage recruitment.
  • Lead technical projects and shape the strategy for orchestration workloads.
  • Collaborate with platform and product engineering stakeholders.
  • Develop a multi-year roadmap for new frameworks and services.
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Related Jobs

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📍 USA

🧭 Full-Time

💸 232000.0 - 310000.0 USD per year

🔍 Financial Technology

  • Solid leadership and interpersonal skills.
  • 10+ years of experience in managing diverse teams and delivering large cross-functional technical programs.
  • Proven track record in stakeholder management, ownership, and successful delivery.
  • Expertise in managing large-scale, globally distributed compute and data processing systems.
  • Expertise in scaling frameworks like Spark, Flink, and Kafka on Kubernetes.
  • Strong interpersonal, written, and verbal communication skills.
  • Experience in the data infrastructure domain and passion for leading technical teams.
  • Lead a team of engineers and managers with empathy while fostering a high-performance, ownership-driven & inclusive culture.
  • Oversee teams managing storage services including relational, key-value, and analytics storage infrastructure.
  • Understand and drive business and engineering metrics, promoting a culture of reliability and productivity.
  • Collaborate with tech leads, program managers, and product managers on various projects.
  • Provide leadership and growth opportunities to team members, mentor engineers, recruit, and represent Affirm.
  • Lead technical decisions and projects, shaping strategy for managing and serving orchestration workloads.

AWSKafkaKubernetesData engineeringSpark

Posted 3 days ago
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