Position: Lead Python Developer
Company: Akvelon
Experience required: 5y
English level: upper

Hi!
We are looking for a Lead Python Engineer. 
We're building a revenue intelligence and automation platform. Our mission is to transform business operations through insights and intelligent automation. Our target customer is revenue growth teams (sales, marketing and customer success). Our capabilities help them understand their prospect and customer behavior, so they can market and sell more effectively to those customers. By combining data analytics with data science, our platform provides powerful tools to solve use cases like:
✔️ Understanding what rep behaviors are truly making a difference to the sales pipeline
✔️ Understanding what marketing/sales tactics are working and what are not
✔️ Understanding what content is leading to activated, converted and engaged customers
✔️ Targeting the most likely candidate customers for deal expansion
✔️ Setup workflows and automations to find new prospects, connect with them and hand off the most engaged candidates to the sales team for follow-ups
✔️ Leverage generative AI to automate manual steps in go-to-market workflows so humans can spend their time on being creative with messaging and content.

Our team consists of product, engineering and data-science veterans from Microsoft, Amazon, Dropbox, Google Amperity and Zulily and others.

**We are looking for a results-oriented Lead backend/product engineer who can design, develop and scale the internal systems that power our product.** This includes:
🔹 building the server-side components of new product features
🔹 building high-performance data ingestion and processing pipelines
🔹 build infrastructure components to quickly process and transform terabytes of data
🔹 collaborate with our data-science teams to bring new models to production, including leveraging the latest in generative AI.
🔹 work on our segmentation engine that allows for lightning-fast drill-down across thousands of fields and hundreds of millions of rows
🔹 improve the performance of large data processing tasks

**Our backend infrastructure is extremely modern and fully containerized on top of Kubernetes. We're big fans of ELT and use tools like DBT and Airflow to power our data pipelines.**

**What you will do**
🔹 Architect and shape our backend infrastructure
🔹 Design and build new services, systems, and features that process hundreds of gigabytes of data daily
🔹 Write lots of modern Python.
🔹 Lead, mentor, coach and interview engineers

**What you will need to succeed**
🔹 Strong proficiency in Python
🔹 Strong proficiency in SQL
🔹 Leadership and team management experience (3-7 developers)
🔹 Experience with common design patterns and workloads for both high-performance transactional databases and data warehouses.
🔹 Experience working with a fully-containerized service architecture on top of Kubernetes.
🔹 5+ years of experience building and/or deploying large-scale distributed systems.
🔹 Ability to operate with autonomy in highly ambiguous situations.
🔹 Solid computer science fundamentals.
🔹 Prior startup experience (so you understand how a startup is different from a big-company job)

**Nice-to-have:**
🔹 Prior experience working with data from CRMs and marketing platforms (like Salesforce, HubSpot, and Marketo)
🔹 Prior work experience at a B2B SaaS company.

**Interview process (1 hour calls):**
🔸 30 minutes pre-screen interview with a recruiter;
🔸 Technical interview;
🔸 Manager interview;
🔸 Meeting with a client.

**Working conditions:**
Remote job. Overlap at least till 11.30 am PST

**Benefits:**
- Paid vacation, sick leave (without sickness list)
- Official state holidays — 11 days considered public holidays
- Professional growth while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
- Flexible working schedule: 8 hours per day, 40 hours per week.
- Personal Career Development Plan (CDP)
- Employee support program (Discount, Care, Heals, Legal compensation)
- Paid external training, conferences, and professional certification that meets the company’s business goals
- Internal workshops & seminars
- Corporate library (Paper/E-books) and internal English classes