Software Engineer Manager, Managed Kafka - New York, NY, USA
21 hours ago
Job description
Minimum qualifications:
- Bachelor's degree, or equivalent practical experience.
- 8 years of experience in software development.
- 3 years of experience in a technical leadership role.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage or hardware architecture.
- 2 years of experience in a people management or team leadership role.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 3 years of experience working in a cross-functional organization.
- Experience with Kafka or messaging systems.
- Experience with Cloud.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
In this role, you will help shape the future of a new team and influence the direction of this critical and expanding product. You will manage a team of back-end engineers who are passionate about messaging and distributed systems, and who support a product already utilized by hundreds of GCP customers. Managed Kafka operates within the broader Messaging team, which also oversees key infrastructure and Google cloud platform (GCP) offerings.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
- Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
- Lead and mentor Managed Kafka engineers, providing technical guidance, and career development opportunities.
- Manage the execution of projects from design to deployment, ensuring high-quality deliverables and timely completion.
- Collaborate closely with Managed Kafka leads and stakeholders to define product roadmaps, technical designs, and quarterly plans for building Managed Kafka.
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