The companyAt Invert, we are on a mission to dramatically reduce the dollar and time cost of using biology to manufacture…everything. Our customers use bioprocessing to invent new therapies to combat disease, make new biomaterials to solve the environmental crisis, produce essential chemicals in an environmentally-safe way, and many more. We provide them with tools to automate the design, execution, and analysis of all that amazing work!
The Invert team is comprised of creative and talented engineers, data scientists, biologists, and more. We are supported by amazing investors including Y Combinator and CEOs from industry.
We value diversity and welcome individuals from all backgrounds to join our remote-first, collaborative environment. Joining Invert means making a significant impact on a critical problem space.
The teamYou will be joining Invert's Integrations Engineering Team. This team is responsible for the software that moves and transforms data from the data sources in our customer's laboratories to the Invert database, and currently has four engineers.
Invert's data sources include: SaaS cloud software, desktop applications, programmable logic controllers (PLCs), sensors attached to bioreactors, and others. We maintain a streaming data pipeline for near-realtime data and a file ingestion pipeline for batch uploads. This is true "fuller stack engineering" and involves code that runs on-premise at our customers' labs, in the cloud, and in the browser.
Nearly all the code in our backend and data pipelines is Python. Some other tools we build with are:
Data pipelines: Kinesis, Eventbridge, Lambda, Batch, Greengrass. You will help further define this list!
Backend: FastAPI, PostgreSQL
Infrastructure: Terraform IaC hosted on AWS
Frontend: Next.js with TypeScript hosted on Vercel
Collaboration tools: GitHub, Linear, Slack, Notion, Google Suite
The roleMissionAs Senior Software Engineer on the Integrations Team, you will help scale Invert's data ingestion to meet the needs of our growing user base. The primary axes we are working on are the size of the list of supported data sources, and orders-of-magnitude growth of data volume. You will be part of designing, building, and operating the code and infrastructure that addresses this growth through automation, standardization, and operational excellence. Because this is a senior role, you will deliver on this mission through both hands-on delivery and mentorship of colleagues.
CompetenciesRequired technical skills
Writing concise Python code using modern packages and frameworks.
Building data pipelines: Integration with data sources, parsers, orchestration, data modeling
Building or maintaining infrastructure using IaC and CI/CD practices.
Nice to have technical skills (not required)
Architecting and implementing production systems in AWS.
Streaming data, for example Kinesis, Kafka, Red Panda.
Effective use of logging, tracing, metrics, alerting, dashboards to continuously improve systems.
Interfacing with industrial hardware and software, for example historians, OPC servers, PLCs, IoT devices.
How you work
Operations mindset: Takes responsibility for uptime and correct operation of production services.
Takes ownership: Thinks beyond their current assigned task. Cares about the success of the entire company in the long term.
Communicates effectively: Ensures that the right information gets to the right people at the right time. Prior experience in distributed teams is a plus.
Mentors and collaborates: Educates and empowers, prioritizes team productivity.
The packageHigh-growth startup with impactful work
Fully remote, distributed across US and European timezones
Competitive salary, equity, and benefits
New laptop, monitor, and accessories of your choice
Frequent team offsites
Unlimited PTO
The interview processThe interview process consists of the four stages described below. Candidates are assessed between each of these stages. The hiring manager is responsible for communicating decisions and next steps throughout the process. We aim to complete all stages within two weeks.
Discovery: A 30-minute conversation with the hiring manager to determine whether there is mutual interest in moving forward.
Non-Technical Competencies: Two 60-minute interviews with two different employees to assess non-technical competencies.
Technical Competencies: A 90-minute working session with two employees to assess technical competencies.
References and Founder Chat: Three 15-minute conversations between the hiring manager and previous colleagues to gather external input. Simultaneously, a 30-minute meet-and-greet with one or both of the founders (depending on whether they have already participated in previous interviews).