lknix
Joined 13 years ago
Joined 13 years ago
Our entire team is distributed around the world and works remotely. We daily collect huge amounts of data about mobile apps and their usage and turn it into valuable metrics. Our customers are ranging from investors to mobile phone manufacturers and startups. We love analyzing data, building distributed systems, and helping people understand complicated market dynamics through our data.
We're looking for an experienced distributed systems/big data software engineer to join our team. You'll take ownership of our crawl and data pipeline, architecting and implementing new solutions, keeping them running with high uptime and scaling them up to handle load.
Our current tech-stack is mostly Python running on AWS (EC2, S3, EMR, ELB, etc.) with Redis, Apache Spark and a bit of MongoDB. We have a large distributed infrastructure, consisting of hundreds of systems ranging from crawlers, data processing clusters, database and API servers, etc.
Feel free to ping me at [email protected] or read more at https://appmonsta.com/jobs/
AppMonsta - REMOTE
AppMonsta collects massive amounts of data about mobile apps and turns it into actionable metrics for a wide variety of business customers ranging from investors to health care companies to startups. We really love data, building distributed systems, and helping people understand complicated market dynamics through our data.
We're looking for a distributed systems/big data software engineer to join our distributed team. You'll take ownership of our crawl & data pipeline, keeping them running with high uptime, scaling them up to handle load, and adding new data sources and new features to help our customers make even better decisions. Experience with distributed systems and/or big data is a huge bonus - we're looking for people that have a good intuition about what good architecture looks like, and who can grow into leadership roles.
Our current tech stack is mostly Python, Linux, AWS (EC2, S3, & EMR mostly), MongoDB, Celery and Redis. If you haven't worked with individual pieces of this before it's fine - we like working with smart people that are comfortable working in a distributed systems/big data/cloud environment. We're happy to help you get up to speed with anything you haven't seen before. We practice peer code review and continuous deployment on all our code and systems.
Our entire team works remotely. We're very flexible about where and when you work, as long as you ship code, keep systems online, and are reachable by other team members for part of the day. We stay in touch via a team chatroom and weekly team video chats, with impromptu 1-on-1 video chats whenever there's a detailed issue to discuss. To make this work, you'll need to be in a compatible timezone (between PDT(UTC-08) and CET(UTC+1)), and be very fluent writing and speaking English. Like getting out of the house to work? Ask about our mobile Internet subsidy:)
This is a full time, longterm opportunity. If this sounds exciting, send us an email at [email protected], and we can get the conversation started.
AppMonsta - Palo Alto - REMOTE
AppMonsta collects massive amounts of data about mobile apps and turns it into actionable metrics for a wide variety of business customers ranging from investors to health care companies to startups. We really love data, building distributed systems, and helping people understand complicated market dynamics through our data.
We're looking for a distributed systems/big data software engineer to join our distributed team. You'll take ownership of our crawl & data pipeline, keeping them running with high uptime, scaling them up to handle load, and adding new data sources and new features to help our customers make even better decisions. Experience with distributed systems and/or big data is a huge bonus - we're looking for people that have a good intuition about what good architecture looks like, and who can grow into leadership roles.
Our current tech stack is mostly Python, Linux, AWS (EC2, S3, & EMR mostly), MongoDB, Celery and Redis. If you haven't worked with individual pieces of this before it's fine - we like working with smart people that are comfortable working in a distributed systems/big data/cloud environment. We're happy to help you get up to speed with anything you haven't seen before. We practice peer code review and continuous deployment on all our code and systems.
Our entire team works remotely. We're very flexible about where and when you work, as long as you ship code, keep systems online, and are reachable by other team members for part of the day. We stay in touch via a team chatroom and weekly team video chats, with impromptu 1-on-1 video chats whenever there's a detailed issue to discuss. To make this work, you'll need to be in a compatible timezone (between PDT(UTC-08) and CET(UTC+1)), and be very fluent writing and speaking English. Like getting out of the house to work? Ask about our mobile Internet subsidy:)
This is a full time, longterm opportunity. If this sounds exciting, send me an email at [email protected], and we can get the conversation started.
AppMonsta collects massive amounts of data about mobile apps and turns it into actionable metrics for a wide variety of business customers ranging from investors to health care companies to startups. We really love data, building distributed systems, and helping people understand complicated market dynamics through our data.
We're looking for a distributed systems/big data software engineers to join our distributed team. You'll take ownership of our crawl & data pipeline, keeping them running with high uptime, scaling them up to handle load, and adding new data sources and new features to help our customers make even better decisions. Experience with distributed systems and/or big data is a huge bonus - we're looking for people that have a good intuition about what good architecture looks like, and who can grow into leadership roles.
Our current tech stack is mostly python, linux, aws (ec2, s3, & emr mostly), mongodb, and redis. If you haven't worked with individual pieces of this before it's fine - we like working with smart people that are comfortable working in a distributed systems/big data/cloud environment. We're happy to help you get up to speed with anything you haven't seen before. We practice peer code review and continuous deployment on all our code and systems.
Our entire team works remotely. We're very flexible about where and when you work, as long as you ship code, keep systems online, and are reachable by other team members for part of the day. We stay in touch via a team chatroom and weekly team video chats, with impromptu 1-on-1 video chats whenever there's a detailed issue to discuss. To make this work, you'll need to be in a compatible timezone (between PDT(UTC-08) and CET(UTC+1)), and be very fluent writing and speaking english. Like getting out of the house to work? Ask about our mobile internet subsidy:)
This is a full time, longterm opportunity. If this sounds exciting, please send us your resume and a couple hundred lines of some code you've written (preferably python), so we can get a sense for your coding style.
Contact: luka [at] appmonsta.com
Big Data/Distributed Systems Software Engineer
AppMonsta collects massive amounts of data about mobile apps and turns it into actionable metrics for a wide variety of business customers ranging from investors to health care companies to startups. We really love data, building distributed systems, and helping people understand complicated market dynamics through our data.
We're looking for a distributed systems/big data software engineers to join our distributed team. You'll take ownership of our crawl & data pipeline, keeping them running with high uptime, scaling them up to handle load, and adding new data sources and new features to help our customers make even better decisions. Experience with distributed systems and/or big data is a huge bonus - we're looking for people that have a good intuition about what good architecture looks like, and who can grow into leadership roles.
Our current tech stack is mostly python, linux, aws (ec2, s3, & emr mostly), mongodb, and redis. If you haven't worked with individual pieces of this before it's fine - we like working with smart people that are comfortable working in a distributed systems/big data/cloud environment. We're happy to help you get up to speed with anything you haven't seen before. We practice peer code review and continuous deployment on all our code and systems.
Our entire team works remotely. We're very flexible about where and when you work, as long as you ship code, keep systems online, and are reachable by other team members for part of the day. We stay in touch via a team chatroom and weekly team video chats, with impromptu 1-on-1 video chats whenever there's a detailed issue to discuss. To make this work, you'll need to be in a compatible timezone (between PDT(UTC-08) and CET(UTC+1)), and be very fluent writing and speaking english. Like getting out of the house to work? Ask about our mobile internet subsidy:)
This is a full time, longterm opportunity. If this sounds exciting, please send us your resume and a couple hundred lines of some code you've written (preferably python), so we can get a sense for your coding style.
Contact: luka [at] appmonsta.com
Everyone building with AI is crowded into the digital world: dev tools, copilots, agents for software people. Meanwhile the largest asset class on earth, the built world, runs on records scattered across 20,000+ US jurisdictions, and most of those have no online portal at all. The only way in is a relationship and a public-records request, and you cannot download a relationship. We turned that into the intelligence layer for the built world: permits, contractors, parcels, government decisions. Customers pay for it today.
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Try the door even if you don't plan to apply, I promise it's fun!
Receipts on how we build: we published the working notes from planning our newest API, rival architectures and refuted claims included: https://shovelsai.github.io/team-notes/2026-07-07-a9e2-how-w...
Do you want to make software cheaper to build, or build the thing that stays valuable when software is cheap? :)