Middle Backend Engineer (Go)
Salário Estimado
R$ 12.375,00 - R$ 18.563,00
Descrição da Vaga
the position Want to build backend systems that people actually depend on every day - not just ship features that disappear into a backlog? This is not a typical backend role where you maintain legacy services and close tickets in a vacuum.
You’ll join a lean, high-ownership team building data-driven products used by millions of users.
About BlueThrone BlueThrone acquires and scales profitable mobile apps.
We don’t build from zero; we buy apps with strong potential and turn them into category leaders through better product decisions, smarter monetization, and disciplined user acquisition.
Today, our portfolio serves millions of monthly active users across multiple verticals.
We’re profitable, independent, and growing through disciplined bets - not hype.
We operate without layers or slow approvals.
We are a lean team of A-players where execution matters more than fancy titles.
And we care about one thing: building things that move the needle.
The role We’re looking for a Product-Minded Backend Engineer to join a high-stakes team.
Your primary focus will be a platform helping users track complex government processes in real-time - but as a multi-product company, you should expect to move across domains as the business evolves.
We're looking for someone who's excited by that, not intimidated.
This isn’t "glue code." You’ll tackle real challenges: unreliable external data sources, event-driven pipelines, analytics at scale, and keeping a high-dependency system reliable.
We need someone who thinks beyond the ticket - you should care about why a feature exists, not just how to implement it.
Responsibilities • Build & Scale Go Services: Develop high-performance REST APIs for mobile clients and gRPC for internal communication.
Requirements • 2 - 4 years of commercial Go experience: You’ve built production systems that handle real traffic.
NOT just side projects. • Strong PostgreSQL skills: You understand indexing strategies, transaction isolation, and can read a query plan.
We treat automation as a default, not an experiment. • Infrastructure Comfort: Hands-on with Docker, CI/CD, and deploying what you write.
Nice-to-haves • Experience building or working with analytics engines - computing aggregations, time-series data, or serving analytical queries at scale.
Benefits • Zero "Corporate Architecture": We don’t have layers of middle management or 4-hour "alignment" meetings.
You’ll have a direct line to product impact and the freedom to build things the right way. • High-Intensity Growth: We’ve achieved more in 25 months than most companies do in a decade.
If you want to move from "Middle" to "Senior Product Engineer," there is no faster vehicle than BlueThrone. • AI-First Culture: We don’t just tolerate AI; we demand it.
You’ll be encouraged (and expected) to use the latest tools to automate the boring stuff so you can focus on hard engineering. • Ownership is Reality: You aren't just a cog.
You’ll own entire product domains, propose your own solutions, and see your code used by millions of people in real-time. • Extreme Flexibility: We are remote-first and results-oriented.
We don't care about your hours; we care about your output and your ability to ship reliable systems • Equal opportunities for everyone 💖
Requisitos
- We're looking for someone who's excited by that, not intimidated
- This isn’t "glue code." You’ll tackle real challenges: unreliable external data sources, event-driven pipelines, analytics at scale, and keeping a high-dependency system reliable
- 2 - 4 years of commercial Go experience: You’ve built production systems that handle real traffic
- NOT just side projects
- Strong PostgreSQL skills: You understand indexing strategies, transaction isolation, and can read a query plan
- Event-Driven Expertise: Hands-on experience with Kafka, NATS, or RabbitMQ
- Python Proficiency: Experience with (or a genuine willingness to learn) Python for our internal tooling and services
- AI Tooling Mastery: Active use of AI tools in your workflow is a must
- We treat automation as a default, not an experiment
- Infrastructure Comfort: Hands-on with Docker, CI/CD, and deploying what you write
- The "Product Mindset": You ask "what problem are we solving?" before "how do I implement this?"
- Autonomy: Ability to navigate and contribute to a large codebase without hand-holding
- Communication: English sufficient for daily standups, pair debugging, and technical syncs
- Experience building or working with analytics engines - computing aggregations, time-series data, or serving analytical queries at scale
- Familiarity with A/B testing frameworks and experiment-driven development
- Kubernetes experience (we run K8s clusters)
- Familiarity with ClickHouse or similar OLAP databases
- gRPC and protobuf
Responsabilidades
- Want to build backend systems that people actually depend on every day - not just ship features that disappear into a backlog?
- This is not a typical backend role where you maintain legacy services and close tickets in a vacuum
- Build & Scale Go Services: Develop high-performance REST APIs for mobile clients and gRPC for internal communication
- Master the Data: Design and optimize PostgreSQL schemas and queries for datasets that grow by the millions daily
- Event-Driven Pipelines: Own Kafka-based systems - publishing, consuming, and handling complex retry/failure scenarios
- AI-First Workflow: Actively integrate AI tools (code gen, debugging, automation) into your daily work to move 10x faster
- Think Product-First: Propose solutions, challenge requirements, own outcomes and take responsibility for system reliability (including on-call rotation)
- Improve Observability: Mature our metrics, logging, and alerting so problems surface before users notice
- Collaborate: Work directly with mobile developers on API contracts, performance, and data consistency
- Evolution: Over time, take ownership of entire product domains and processes, not just features
- GitOps workflows (ArgoCD, Helm)
Benefícios
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