Staff Software Engineer | Core Platform
$170k - $220k • Cambridge, MA • Full-time
Posted 1mo ago
About the job
Manifold is seeking a Staff Software Engineer to join its Core Platform team, a senior group responsible for the foundational services powering the company's data, compute, and workflow capabilities. In this hands-on, individual contributor role, you will work on compute infrastructure, workflow orchestration, data pipelines, platform APIs, and MCP services. You will support enterprise users and their AI agents analyzing large-scale genomics and life sciences datasets. The role offers an opportunity to shape the longer-term product architecture and contribute to core services critical for accelerating the delivery of life-changing medicines to patients.
Responsibilities
- Design, build, and operate compute and workflow orchestration services, developing solutions for AMI management, autoscaling, custom runtime environments, and third-party tool support.
- Collaborate with the SRE team to enhance the reliability and observability of core services, establishing operational standards, alerting, and run-books.
- Act as a technical multiplier by mentoring engineers, driving technical decisions, and improving the team's collective output.
- Partner with Product, Forward Deployed Engineers, and account teams to translate enterprise requirements into durable platform capabilities.
- Contribute to the AI-native platform vision by identifying AI industry trends and their potential benefits for life sciences research.
Requirements
- 8+ years of enterprise software experience, with significant backend, infrastructure-adjacent, or distributed systems work.
- Mastery of Python and deep experience with infrastructure-as-code (Terraform).
- Experience managing compute environments on AWS (EC2, ECS, Batch, or equivalent), including autoscaling and cost/performance tradeoffs.
- Comfortable supporting a broad technical surface area and quickly orienting in unfamiliar codebases or systems.
- Operational ownership mindset, building for observability and implementing durable fixes for incidents.
- Demonstrated experience integrating AI tools into engineering workflows with concrete examples.
- Understanding of the mission to accelerate life sciences research and articulation of personal connection to it.
Benefits
- Opportunity to work at the frontier of AI in life sciences.
- High-autonomy, high-impact role with direct customer outcomes.
- Exposure to a wide range of technical and business challenges.
- Work with a collaborative team.
- Opportunity for rapid growth.
- Strong compensation packages.
- Excellent benefits.
- Equity
- 401K match
- Medical, dental, and vision insurance