Timely
Senior Software Engineer, Platform
USA (Remote) · Senior
Sponsorship not specifiedDetected 301 days ago
PythonFull-Stack DevelopmentCode ReviewGitMongoDBAWSCloud PlatformsTerraformCI/CDPlatform EngineeringCybersecurityJestpytestCommunicationCollaborationMentoringPublic Speaking
About the role
- This role is a Senior Software Engineer position with a strong focus on platform and infrastructure development.
- In addition to identifying and delivering on projects that have the highest benefit for engineering team productivity and quality, you will help to up-level and onboard the entire team to best practices and establish a strong technology culture at Timely.
Responsibilities
- Identify, prioritize, design and deliver technical platform solutions spanning areas like cloud infrastructure, test infrastructure & patterns, shared product libraries, security practices, authentication platform and CI/CD tooling.
- Engage with engineering stakeholders to understand pain points and opportunities to enable Timely to deliver value quickly while maintaining quality.
- Drive the investigation and decisioning on key technology decisions impacting how Timely builds and maintains software.
- Own production availability by implementing observability and recovery practices for Timely applications while providing periodic on-call support.
- Uplevel the Timely engineering team on platform technologies and engineering patterns by maintaining documentation, presenting in different venues, providing cross-team design/code reviews, and mentoring team members.
- Own the delivery of critical projects by defining scope, creating tickets, and managing delivery timelines.
- Mentor and support junior engineers, promoting a culture of collaboration, knowledge-sharing, and continuous improvement.
- We started Timely to build the tool we wish we had when we were in schools.
- Timely delivers optimized master schedules that are more efficient, accommodate diverse educator needs, and enable student access to courses and pathways that impact their lives.
Requirements
- 3-5+ years of experience in infrastructure and platform engineering and comfort with the following (or equivalent) technologies: AWS, Terraform, MongoDB, Python, CI/CD via Github Actions.
- Experience and comfort operating in a fast startup environment and all that entails: strong ownership, self direction, prompt delivery of value to the customer & learnings for the business.
- 3-5+ years of experience in infrastructure and platform engineering and comfort with the following (or equivalent)
Skills
- AWS, Terraform, MongoDB, Python, CI/CD via Github Actions.
- Strong communication and collaboration skills, especially in cross-functional environments.
- Commitment to continuous improvement: seeking out and welcoming code reviews, pairing, and collaborative problem-solving.
- Experience working in agile environments and familiarity with testing frameworks (e.g., Jest, Pytest).
- Scaling and cyber security experience is preferable.
- Prior experience in EdTech is a plus but not required.
Benefits
- Work with an exceptional team tackling meaningful challenges in education.
- Enjoy comprehensive benefits, including health, dental, vision and life insurance, unlimited PTO, and professional development opportunities including free access to online learning programs
Company info
- School scheduling is a hard problem, one that technology was meant to solve. Yet for decades, the master schedule has been built by hand, consuming educators' valuable time while delivering a sub-optimal result for students. We started Timely to build the tool we wish we had when we were in schools. And today, we are changing how schools create high quality schedules for teachers and students. Timely combines groundbreaking AI technology with support from a team of expert school schedulers: saving schedulers' time, and surfacing opportunities for leaders to unlock staff potential. Timely delivers optimized master schedules that are more efficient, accommodate diverse educator needs, and enable student access to courses and pathways that impact their lives.
- Our district and school partners agree: scheduling is a key opportunity for educational innovation, and that Timely is the indispensable partner in addressing the challenge. We're experiencing exciting growth as a company, while doubling down on our mission and people-centered approach to leveraging powerful technology. We serve districts and charter school organizations across 15+ states, growing (and renewing) at rates that lead the education technology industry. This growth has been driven by our strong product-market fit, deep understanding of education, and commitment to customer success.
- School scheduling is a hard problem, one that technology was meant to solve.
- Yet for decades, the master schedule has been built by hand, consuming educators' valuable time while delivering a sub-optimal result for students.
- And today, we are changing how schools create high quality schedules for teachers and students.
- Timely combines groundbreaking AI technology with support from a team of expert school schedulers: saving schedulers' time, and surfacing opportunities for leaders to unlock staff potential.
- Our district and school partners agree: scheduling is a key opportunity for educational innovation, and that Timely is the indispensable partner in addressing the challenge.
- We're experiencing exciting growth as a company, while doubling down on our mission and people-centered approach to leveraging powerful technology.
- We serve districts and charter school organizations across 15+ states, growing (and renewing) at rates that lead the education technology industry.
- This growth has been driven by our strong product-market fit, deep understanding of education, and commitment to customer success.
- scheduling is a key opportunity for educational innovation, and that Timely is the indispensable partner in addressing the challenge.
- Be part of a growing, financially healthy company with a proven product.
This listing is sourced directly from Timely's careers page and normalized into a canonical job model.