Golang Quantum Metric Jobs

Job Description

🐲Quantum Metric

We are obsessed with helping businesses deliver better digital products and experiences for their customers. Quantum Metric is paving the way for Continuous Product Design, a brand new methodology that is helping enterprises embrace digital transformation. Major enterprises across industries ranging from quick service restaurants to airlines and everything in between are reaping the benefits. The result: Teams agree on priorities, build products customers love, and innovate with speed and confidence.

😎Our Culture

Our number one goal at QM is happy people, happy culture. We offer numerous committees and resource groups, including the Women’s Resource Group, Parent’s ERG, and our DEI committee, to name a few. We bring the culture of a small knit startup to a rapidly expanding company, which has tripled its size in just 2 years. Our executives and managers come from an impressive range of backgrounds and are passionate about enabling their team to find their passion. Many of our employees work remotely, though we also have satellite offices in Chicago, Denver, and Colorado Springs.

🚀 Who are we?

Quantum Metric helps organizations build better digital products faster. Our platform for Continuous Product Design gives business and technical teams a single version of truth that’s fast, quantified, and grounded on what customers actually experience. The result: Teams agree on priorities, build products customers love, and innovate with speed and confidence.

🔧 What will you do?

The Platform Services team is responsible for creating and managing the platforms that power our products. For us, that means providing our teams with reliable, resilient, and performant data ingestion / data access systems. We ingest massive amounts of data, process it, and make it available for further use as quickly as possible. As a member of our team, you will have an opportunity to work on all aspects of these systems, typically using a combination of Go, Kubernetes, and hosted Google Cloud Services for your daily tasks.

While you'll occasionally work on the APIs and data pipelines that power our user-facing systems, you'll spend most of your time building the platforms that make the API and data pipeline work possible for other teams without our direct involvement. You'll work regularly with operations and other platform teams to continually enhance the stability of our systems, and you'll also work alongside our feature and data science teams to enhance our service offerings.

🐉 Who are you?

You love developing software and your passion for building with code is palpable. You love spending time creating efficient, performant, and reliable data processing systems. You are particularly fond of building and using distributed systems to solve problems at scale. You love building applications and tooling on top of Go and Kubernetes, and you are familiar with how to make your applications observable for production operations.

While you’re a developer with a passion for writing good code, you also enjoy brainstorming sessions with your peers and product owners to discover the best solution to a problem. You see the importance of providing input and considering the points-of-view of those around you. At the end of the day, you enjoy being part of a healthy team culture that practices mutual respect.

🏅 Skills

• You are skilled with Go and have some experience with JavaScript, Python, or C++.
• You subscribe to the DevOps mindset and are comfortable with observability tooling.
• You have built applications on top of Kubernetes.
• You have familiarity with databases (relational and/or NoSQL).
• Proficiency with JavaScript is another plus, as part of our current stack is still powered by Node.js.
• You’re curious and self-motivated, so you’re probably really familiar with a variety of different tech. We understand the value of learning continuously and expanding out of your comfort zone.

💡 Requirements

• Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Code School Certification or equivalent
• Experience with Go and Kubernetes.
• Familiarity with JavaScript.
• Experience working in a cloud environment.
• Compensation: $125,000-$165,000

⭐️ Bonus

• Experience with Google Cloud, specifically GKE and BigQuery
• Experience with message queues (Kafka, Puslar, or Google Cloud PubSub) for building event-driven systems
• Experience with NoSQL and/or relational databases

🏆 Perks and Benefits

This will be the best group that you ever work with! We support one another through challenges and win as a team. Your hard work will be well rewarded. Most importantly, you'll be strapped to a technology rocket ship bound for greatness! Your success at Quantum Metric will be a milestone in your career.

• Group benefits
• Medical, Dental, Vision Insurance (99% Medical base plan paid by the Company)
• Employee Assistance Programs (EAP)
• Telehealth options
• Voluntary Life & AD&D, STD, LTD
• Healthy Rewards – Discount Programs
• 401k and Options / Equity
• Time off (Paid Vacation, 9 Sick days, Holidays)
• 11 company holidays
• 3 weeks (120 hours) accrued vacation
• Sick leave (according to state mandated allocation)
• Parental/Adoption Leave
• In addition to our more traditional benefits, we also offer generous perks, a flexible work environment, and numerous resources for professional development and team building.
• Promotional opportunities
• Rewards and recognitions programs
• Robust onboarding and training program
• One-time stipend for work at home employees
• Flexible work environments
• Employee Discount Program (Perks at Work)
• Employee Referral Program
• Lead Referral Program
• Latest MacBook Pro and awesome swag delivered to your door
• Supportive and collaborative culture
• RECHARGE PROGRAM (after 3 years, disconnect for 3 weeks, no email/slack)

About Quantum Metric

As the pioneer in Continuous Product Design, Quantum Metric helps organizations put customers at the heart of everything they do. The Quantum Metric platform empowers a customer-centric culture, using quantified empathy to align business and technical teams to effectively prioritize customers needs based on business impact.

Today, Quantum Metric captures insights from 20 percent of the world’s internet users, supporting nationally recognized brands in ecommerce and retail, travel, financial services and telecommunications. 6 of our customers come from the top 25 Fortune 500 Companies. Our customer retention rate is 97%.

In January of 2021, Quantum Metric secured its place as the first tech unicorn of the year with an above $1 billion valuation and a $200 million Series B funding round, and we are using those funds to accelerate our product and people growth. Quantum Metric has been recognized as an excellent place to work by the Inc 5000 and the Deloitte 500.

If your background matches the above role and you’re interested in joining a team of people with exceptional potential from diverse backgrounds, perspectives, and life experiences, we want to hear from you.

Job Description

Back is a young software company from Berlin with the mission to enable companies to focus on what they do best. We’re building a collaboration and automation platform to untangle repetitive questions and workflows around the workplace.

You will join our experienced engineering team to build our machine learning pipeline and develop some of our first machine learning supported features. If you are excited about building highly scalable solutions built on a modern stack using best practices then this role is perfect for you.

This position is based in our growing HQ in Berlin.

🔨 What you will do

• You will take ownership of automation features from the beginning - understanding the problem - to the end - deploying the model on production -.
• You will setup the environment to speed up our machine learning development.
• You will implement and tune state-of-the-art ML models to get the best results given the available data.
• You will effectively communicate and document your approach, progress, results and challenges with the team.
• You will help us grow the machine learning team: enforce best practices, interview candidate, etc.

👩‍🔬 Who are we looking for

• You can quickly grasp the business context of the problem and using your knowledge of how the model is going to be used, you can choose the right evaluation metric.
• You can dig deep into the data to choose the right dataset split and identify pitfalls arising from non-iid samples.
• You can combining both your practical and theoretical ML knowledge to set the right priorities when choosing which idea or approach to try next.
• You find the simplest solution to solve complex problems programmatically.
• You find joy in delivering features to your customer rather than doing academic research.
• You like to work in a team and challenge your choices with your peers.

🦾 What challenges will you face

• You'll work on complex NLP problems touching multiple domains: multiple language understanding and feature extraction.
• You'll work on unbalanced datasets, not all our customers are the same size.
• Our customers have different processes, different vocabulary. You will face dual-domain adaptation problems.
• The good news: our application generates labeled data and we capture all the signals of our users' interactions, so you'll focus on training models, not labelling data. Yeah!

🏅Our engineering values

Radical honesty

• We discuss problems and mistakes in the open, with the team, to share our knowledge, opinion, and find the best solutions to make sure they do not happen again.
• We discuss behavioral or personal problems in private, only with the people being involved.
• Our discussions focus on the problem, not on people. People are rarely the problem and we always assume good faith.

Radical transparency

• We do not hide anything inside and outside the team. We voluntarily and constantly share our successes, our mistakes, and our progress.

Radical open-mindedness

• We share our knowledge and experience to find the best solutions as a team, never to be right or the smartest in the room.
• We share our opinion only when we have the willingness to change it.

Radical pragmatism

• We design strategic solutions with a growth mindset. We seek for solutions driving progress at the fastest pace and lowest cost to create progressive long-lasting impact.
• We refuse dogma. We make the best decision for ourselves, in our context.

Customer-first

• We consider success as having a high customer impact and satisfaction.
• Each decision we make must have sooner or later a positive impact on our customers.
• We privilege customer satisfaction over our comfort.
• We refuse to compromise the quality of our product and customer experience.

Camaraderie

• There is no place for competition or ego.
• We thrive at helping each other and sharing knowledge to contribute to everyone’s growth.

🚀 Why Back?

• You’ll join a company that believes in a strong engineering culture. We use modern technologies, best practices, within a team of smart people who want to change the way people work.
• You’ll have the opportunity to build great infrastructure. You can be as creative as you want as long as it creates a better product.
• You'll work on a modern and robust stack: Go, gRPC, Protobuf, Python, GraphQL, Typescript and React.
• You will team up with the founders to create a great product with your signature on it.
• We love open-source and will support you in the process of contributing to libraries we use or open-sourcing some of our work.
• You’ll join a company at an early stage and you will receive an attractive package containing salary and shares.
• You'll join an amazing team who loves food. Want to know who could be your future colleagues? Have a look here.

Job Description

PubNative is a mobile publisher platform that serves native ads via a scalable and flexible API for mobile apps and web. Our publisher-first approach focuses on the specific needs of each publisher across all verticals. Our ad serving technology is used by developers and publishers around the world.

Our system consists of a myriad of high load Golang-based APIs, iOS SDKs, Ruby/Rails 5 dashboard, Scala and Spark data- and ML pipelines, Druid OLAP system, running on a Mesos and Kubernetes cluster.

We're always on call to keep our networks up and running, ensuring our users have the best and fastest experience possible. We follow “Infrastructure as Code” model and immutable deployment strategies.

We are looking for a Site Reliability Engineer (m/f) to help us build and operate infrastructure platforms, and provide technical consultancy to engineering teams on how to build reliable, scalable and efficient services.

Our Responsibilities: - You help us build a hybrid, poly-cloud-provider environment - You help to design, develop and operate monitoring, tracking platforms - You drive scalability and operability of supported systems/infrastructure - You participate in on-call rotation and be on-call for the services you build and support - You work with other teams to provide consultations in systems architecture support for new and existing production systems - You write code so that you can automate tasks, support SLA for Production Systems, you support other engineering teams on reliability, scalability and efficiency topics - You manage OS image/templates via Packer, provision infrastructure via Terraform - You support CI/CD and make new pipelines - You engage in and improve the whole lifecycle of services—from inception and design, through deployment, operation, and refinement - You support services before they go live through activities such as system design consulting - You maintain services once they are live by measuring and monitoring availability, latency, and overall system health

Our Requirements: - 3+ years of experience in a Site Reliability role/Full-stack developer - Experience with public cloud providers (AWS, Google Cloud, Digital Ocean, etc.) and Infrastructure as Code (Terraform) - Strong programming skills and familiarity with modern programming languages: Go, Ruby, Python, Shell etc. - Knowledge of managing docker containers and microservices via Kubernetes - Experience building and monitoring systems and metric collection pipelines - Track record of building automation and solving multi-datacenter/clouds infrastructure problems - Knowledge of algorithms, data structures, complexity analysis, software design and reverse engineering - Interest in designing, analyzing and troubleshooting large-scale distributed systems - Experience working with source control - Git - Experience with continuous integration platforms such as TeamCity, Jenkins, CircleCI etc. - Understanding of Agile, DevOps practices such as CI/CD, automated testing etc.

Job Description

At Geckoboard we help businesses use their data to align their teams on the metrics that matter most to them. We’ve been busy reimagining the way our customers get their data in Geckoboard and have a lot of interesting and creative work to do to shape their experiences. Right now, we’re looking for curious problem solvers to help us on this journey.

What are we working on?

We've completely rebuilt how data gets into Geckoboard from third-party APIs, thanks to a query planner that's written entirely in Go. Our query planner takes in the metrics that a customer would like to track, and produces a plan for how to fetch and transform those metrics from a third-party JSON API such as Zendesk, Intercom, Google Analytics, etc.

We’re now working on extending this platform and building various microservices for tracking our customers' rate limits and scheduling metric refreshes in the most efficient way possible. We’re also creating a caching engine that ensures we don't waste precious API calls on data that we know hasn't changed since last time.

The team are also in the middle of splitting up our existing REST APIs into gRPC microservices with segregated data stores. Which is a huge opportunity for us to rethink some of the fundamental assumptions about Geckoboard's data model and how we can re-architect our systems for greater reliability and to enable us to ship with more confidence.

We don’t expect you’ll have worked on all of these kinds of projects before, but if they take your fancy and you’re excited about working on distributed systems and database technologies at scale, we’d love to hear from you.

As one of our Backend Go Developers:

• You’ll be writing in Golang on a day-to-day basis.
• You will help architect, design, and build Geckoboard’s data pipeline.
• You’ll maintain and optimise our existing infrastructure and services.
• You will get involved in the prioritising and evaluation of our work.
• You’ll pair with team members and get involved in code reviews.

Joining us in our London office, you’ll be working alongside a growing team of empowered engineers, with a focus on building a high quality product our customers love, work life balance and personal development.

Keen to hear a bit more? Carlos, one of our Backend Go Developers has shared a little about what it's like working with the team, what an average day looks like and more in an interview on our Blog: https://medium.com/geckoboard-under-the-hood/working-at-geckoboard-as-a-go-developer-e73855bd0dd8

The Geckoboard Story

Thousands of businesses use Geckoboard to build live TV Dashboards that focus teams on what matters. We take the complexity out of connecting data and make it simple for anyone to understand key metrics at a glance. We have pre-built integrations with 60+ tools including Google Analytics, Salesforce, Zendesk, Intercom and Google Sheets and our customers include Marketo, Slack, and Skyscanner.

In our mission to make data useful, our growing team of 40+ is headquartered in London and span across eight time zones - from Mumbai to London, San Francisco to Hawaii and more. We're always looking for people with diverse backgrounds who bring unique perspectives and skills to join our team and in return we constantly strive to ensure that we offer the most encouraging, inclusive, and efficient environment possible.

We don't just pay lip service to work-life balance, we actively and strongly encourage it. Flexible working hours and the ability to regularly work from home lets you work in a way that fits you and your family. We see our contractual obligation to offer 25 days of paid holiday as a minimum for everyone in the organisation, not a limit.

We actively contribute to professional development, courses, conferences, and books. Our Engineering & Product team also run fortnightly "Innovation Wednesdays", where everyone has complete freedom to work on anything that interests them, from contributing to open source, to learning a new skill, or improving our internal tools and processes.

And, don’t take our word for it, see what the team say about the projects they work on: https://medium.com/geckoboard-under-the-hood and their experience of working with us on Glassdoor: https://www.glassdoor.co.uk/Reviews/Geckoboard-Reviews-E878996.htm. You can also read more about our values and benefits on our Careers page at https://www.geckoboard.com/careers/.