Software Engineer - Market Data

Jobgether; Brasil; Presencial; BRL 180 000 - 260 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Stock options

Health benefits

One-time USD 500 home-office setup

USD 150 monthly Brex stipend

Resumo da oferta

Jobgether in Brazil is hiring a Software Engineer - Market Data to design, build, and scale backend services that power market data products across stocks, options, crypto, and FX. You will work in a globally distributed team, contributing to APIs, streaming and historical data endpoints, and DevOps practices.

The role emphasizes strong engineering fundamentals, scalability, and operational excellence, using Go, Python, Kubernetes, Docker, Google Cloud, gRPC, WebSockets, and observability tools.

Qualificações

• 3+ years of professional backend software development experience.
• Strong software engineering fundamentals and scalable backend systems.
• Hands-on experience with Docker and/or Kubernetes.
• A strong DevOps mindset and understanding of infrastructure, deployment, reliability, and operational practices.
• Familiarity with Agile/Scrum methodologies and collaborative software development practices.
• Experience with large datasets is a plus.
• Experience with Kubernetes, CKAD/CKA certification considered an advantage.
• Experience with SQL, IP networking, Linux, shell scripting, and Docker is beneficial.

Responsabilidades

• Design, develop, and scale highly available, mission-critical services supporting market data products across multiple financial asset classes.
• Contribute to the architecture and evolution of market data systems, APIs, services, and libraries designed for scalability and reliability.
• Help maintain cohesive developer-focused APIs covering streaming and historical market data endpoints.
• Participate in technical planning, ideation, experimentation, and production implementation of new services and solutions to complex engineering challenges.
• Build and maintain high-quality software with strong test coverage, clean architecture, and maintainable code.
• Participate actively in peer code reviews and contribute to consistent engineering standards across the codebase.
• Troubleshoot production incidents, investigate reported bugs, and implement effective solutions to improve system reliability.
• Apply modern infrastructure, containerization, orchestration, and DevOps practices to support resilient services.
• Collaborate with engineering peers in an Agile/Scrum environment to deliver reliable solutions and continuously improve development practices.
• Help evaluate technical trade-offs and challenge existing conventions when better approaches can improve scalability, performance, or maintainability.

Conhecimentos

Backend development

Distributed systems

Go

Python

DevOps mindset

Agile/Scrum

Problem solving

Formação académica

Bachelor's or Master's in CS or related

Ferramentas

Docker

Kubernetes

SQL

Linux

Shell scripting

gRPC

WebSockets

Prometheus

Grafana

ELK

Descrição da oferta de emprego

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer - Market Data based in Brazil.

This role offers the opportunity to build and scale mission-critical systems that power sophisticated financial market data products.
You will contribute to backend services supporting data across stocks, options, crypto, and foreign exchange markets.
The position combines software engineering, distributed systems, cloud infrastructure, and developer-focused API design.
You will help architect highly scalable services and APIs across streaming and historical market data experiences.
Working within a globally distributed engineering environment, you will collaborate on challenging technical problems and influence architectural decisions.
The role is suited to an experienced engineer who values software quality, strong engineering fundamentals, and operational excellence.
You will work with modern technologies including Go, Python, Kubernetes, Docker, Google Cloud, gRPC, WebSockets, and observability platforms.

Accountabilities

• Design, develop, and scale highly available, mission-critical services supporting market data products across multiple financial asset classes.
• Contribute to the architecture and evolution of market data systems, APIs, services, and libraries designed for scalability and reliability.
• Help maintain cohesive developer-focused APIs covering streaming and historical market data endpoints.
• Participate in technical planning, ideation, experimentation, and production implementation of new services and solutions to complex engineering challenges.
• Build and maintain high-quality software with strong test coverage, clean architecture, and maintainable code.
• Participate actively in peer code reviews and contribute to consistent engineering standards across the codebase.
• Troubleshoot production incidents, investigate reported bugs, and implement effective solutions to improve system reliability.
• Apply modern infrastructure, containerization, orchestration, and DevOps practices to support resilient services.
• Collaborate with engineering peers in an Agile/Scrum environment to deliver reliable solutions and continuously improve development practices.
• Help evaluate technical trade-offs and challenge existing conventions when better approaches can improve scalability, performance, or maintainability.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
• 3+ years of professional backend software development experience.
• Strong software engineering fundamentals and experience building scalable backend systems.
• Hands-on experience with Docker and/or Kubernetes, with the ability to work comfortably with modern containerized environments.
• A strong DevOps mindset and understanding of infrastructure, deployment, reliability, and operational practices.
• Familiarity with Agile/Scrum methodologies and collaborative software development practices.
• Experience working with large datasets is a plus.
• Experience with Kubernetes, with CKA or CKAD certification considered an advantage.
• Experience with SQL, IP networking, Linux, shell scripting, and Docker is beneficial.
• Familiarity with microservice architectures and clean code principles.
• Experience with AWS, Google Cloud, Azure, or another major cloud platform is an advantage.
• Understanding of financial markets and market data concepts is a plus.
• Strong problem-solving, troubleshooting, communication, and collaboration skills.
• Ability to work effectively in a globally distributed engineering environment with a high degree of technical ownership.

Benefits

• Competitive salary and stock options.
• Health benefits.
• One-time USD $500 home-office setup allowance for new hires.
• USD $150 monthly stipend provided through a Brex Card.
• Opportunity to work on high-scale financial infrastructure and market data systems.
• Exposure to modern technologies including Go, Python, Kubernetes, Docker, Google Cloud, Bigtable, gRPC, WebSockets, SSE, Prometheus, Grafana, and ELK.
• Opportunity to collaborate with a globally distributed team of experienced engineers, traders, and financial technology professionals.
• High-impact engineering environment focused on scalability, reliability, developer experience, and continuous innovation.

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.