
Engineering Manager
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in United States.
• Oversee the financial product development lifecycle of the Working Capital team.
• Directly contribute to the codebase for significant initiatives.
• Enhance team delivery timelines by strategically implementing AI and effective engineering practices.
• Ensure the successful delivery of key initiatives for the Working Capital team.
• Maintain operational excellence and develop products that align with business goals.
• Cultivate a self-sufficient, multidisciplinary team through contemporary software development methodologies.
• Elevate execution standards and technical quality within the Engineering department.
• Collaborate on solutions with multidisciplinary and cross-functional teams.
• Lead incident management and address inefficiencies proactively before they escalate.
• Minimum of 5 years of combined experience in software engineering.
• At least 2 to 3 years in formal technical leadership roles or as a hands-on Engineering Manager.
• Background in fintech startups, B2B SaaS, or digital product development.
• Proven hands-on technical leadership with the capability to comprehend complex transactional architectures.
• Proficient in designing technical specifications and prototyping with the team.
• Ability to autonomously coordinate solutions across multidisciplinary and cross-functional teams.
• Skilled in balancing trade-offs and effectively communicating the overarching product roadmap vision.
• Experience in building self-managing, multidisciplinary teams.
• Familiarity with iterative and incremental development approaches.
• Strategic application of AI, including automated testing, latency management, fallbacks, cost management, and observability.
• Experience in leading incidents and achieving results in highly ambiguous environments.
• Proficiency in TypeScript, Node.js, React, Next.js or Vite, and occasional Python.
• Knowledge of monorepos and modular architectures or similar frameworks.
• Experience with PostgreSQL.
• Understanding of event sourcing, KurrentDB/EventStore.
• Familiarity with Apache Pulsar and Temporal or similar technologies.
• Experience with GCP and Kubernetes/GKE.
• Knowledge of Dapr, KrakenD, and Istio or comparable tools.
• Proficient in GitHub Actions and Argo CD.
• Familiarity with SigNoz, Grafana, and Sentry or similar tools.
• Experience with LiteLLM and integration with OpenAI/Gemini models.
• Experience in data extraction or similar processes.
• Opportunity for remote work.
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