Golang Engineer (Senior) ID30347

Job Description

AgileEngine is one of the Inc. 5000 fastest-growing companies in the U and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! :)

What you will do

• Design, build, and maintain scalable, high-performance backend services using Go (Golang) and Python for data pipeline automation;

• Optimize real-time market data processing pipelines for accuracy, speed, and reliability;

• Work with Kafka, Redis, MongoDB, and SQL to manage and process large-scale financial datasets;

• Implement and enhance gRPC-based services to support low-latency data exchange;

• Collaborate with data engineers and product teams to ensure seamless data ingestion and API performance;

• Contribute to infrastructure improvements, leveraging cloud platforms (AWS, Google Cloud, or Azure) and container orchestration tools like Docker and Kubernetes;

• Develop and maintain CI/CD pipelines to streamline deployments;

• Ensure data quality and integrity across all systems, implementing monitoring and logging tools;

• Participate in code reviews, technical discussions, and architectural decisions;

• Troubleshoot and debug complex backend issues, ensuring system stability;

• Provide on-call technical support, as needed.

Must haves 

• 3+ years of experience in backend development with Go (Golang) and Python;

• Strong understanding of distributed systems and event-driven architectures;

• Experience with Kafka, Redis, MongoDB, and SQL for real-time data processing;

• Proficiency in gRPC for efficient API communication, including streaming (gRPC Stream);

• Ability to optimize high-throughput, low-latency systems;

• Experience with cloud platforms (AWS, Google Cloud, or Azure);

• Familiarity with containerization (Docker, Kubernetes) and microservices architectures;

• Strong problem-solving skills and ability to work in a fast-paced, data-driven environment;

• Good communication skills, with experience working in cross-functional teams;

• Upper-Intermediate English level.

Nice to haves

• Experience working with real-time financial market data and understanding of data quality principles;

• Experience with C++;

• Knowledge of other programming languages such as JavaScript, or Rust;

• Familiarity with crypto ecosystems (CeFi/DeFi), blockchain analytics, or digital asset trading;

• Knowledge of time-series databases and efficient data storage techniques;

• Exposure to high-frequency trading (HFT), algo trading, or market surveillance tools;

• Understanding of security best practices in API development and data handling.

The benefits of joining us

• Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

• Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

• A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

• Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Next Steps After You Apply

The next steps of your journey will be shared via email within a few hours. Please check your inbox regularly and watch for updates from our Internal Applicant site, LaunchPod, which will guide you through the process.

Requirements
3+ years of experience in backend development with Go (Golang) and Python; Strong understanding of distributed systems and event-driven architectures; Experience with Kafka, Redis, MongoDB, and SQL for real-time data processing; Proficiency in gRPC for efficient API communication, including streaming (gRPC Stream); Ability to optimize high-throughput, low-latency systems; Experience with cloud platforms (AWS, Google Cloud, or Azure); Familiarity with containerization (Docker, Kubernetes) and microservices architectures; Strong problem-solving skills and ability to work in a fast-paced, data-driven environment; Good communication skills, with experience working in cross-functional teams; Upper-Intermediate English level.