backend engineer

Bark
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

A/B testing
API
Artificial Intelligence
Amazon Web Services (AWS)
Databases
Elasticsearch
Python
MongoDB
NoSQL
SQL Databases
Cloud Monitoring
Backend
Kubernetes
Amazon Web Services (AWS)
Docker

Job description

up (EMK Capital), Bark offers the best of both worlds: the agility and innovation of a fast moving business combined with financial stability and resources for growth. We recently launched our new marketplace model in Australia (Q4 2025) and are preparing for rollout to the UK and US markets in 2026. You'll have genuine ownership, responsibility, and the opportunity to shape our commercial strategy during a pivotal transformation phase with the chance to make your own contribution to our journey.About the Role We are looking for a Senior Backend Engineer to join our growing team. You'll become a core part of our small, highly agile team which is responsible for transforming our product. AB testing and test-measure-learn approaches are close to our heart and you will work equally across figuring out solutions to user problems and how we will scale our technical systems.You'll be someone who loves innovating and problem solving, and gets a kick out of working fast to develop prototypes and iterating to find the optimal result. You'll work across our tech stack to solve a variety of challenges from our back-end processes, to our APIs and to our front-end product. We are in the middle of transforming and modernising our technology stack so you will have the opportunity and be encouraged to contribute to new technology decisions, helping to shape our technology strategy, adapting our architecture as we grow.*Please note you must be based in Spain to be considered for this fully remote role.ResponsibilitiesWork with development teams and product managers to conceptualise and implement software solutionsBuild elegant and performant APIs and handlersDevelop and manage well-functioning datastores and servicesProactively propose and implement improvements to the codebaseMentor other engineers to support their growthDesign and code solutions for systems with a high volume of transactions a secondWork with other high performing departments to revolutionise the, interview (30 mins)Diversity Statement At Bark, we are a platform for people, revolutionising the way professionals and individuals connect since 2014. Our culture is defined by excitement, ambition, and a commitment to raising the bar. We value diversity, equity, inclusion, and belonging (DEIB) and are dedicated to embedding these principles into everything we do. We are committed to fostering an inclusive environment where everyone can thrive, and our focus is on hiring, retaining and developing a globally diverse workforce that is passionate about excelling our platform and supporting our customers succeed. Be part of our dynamic team, where bold ideas thrive, and create a future worth shouting about.", "employmentType": "FULL_TIME", "industry": "Senior Backend", "jobLocation" : { "@type": "Place", "address": { "@type": "PostalAddress", "streetAddress": "Zaragoza", "addressLocality": "Zaragoza", "addressRegion": "Zaragoza", "addressCountry": "ES"

Requirements

productRequired Skills and ExperienceExpertise and extensive experience using Python in a production environment (Minimum 5+ years)Defining, implementing and testing:APIsEvent HandlersBusiness logicIntegrations with 3rd party systemsProduction SQL and No SQL database experienceUsing Docker in production, ideally with Kubernetes or Fargate/ECS/EKSExperience building, maintaining, testing and documenting features to be used by other developers both internally and externallyStrong organisational skillsAbility to achieve goals in a highly innovative and fast paced environmentDesired skills and experienceFamiliarity with the AWS ecosystem.Experience with cloud monitoring systems, such as DatadogExperience with Elastic Search, Mongo DB or similarInterest in AI as a tool for increasing developer efficiencyInterview ProcessScreening Call with Talent Partner (30 mins)1st Stage - Hiring Manager Stage (30 mins)2nd Stage - Technical Task (60 mins)3rd Stage - Values

About the company

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