Software Engineer – Data Streaming Platforms

About the role

The successful candidate will be responsible for designing, developing, and maintaining data streaming platforms that process large volumes of data in real-time.

Responsibilities

• Design and implement scalable data streaming solutions using modern technologies.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Write high-quality, maintainable code following best practices and coding standards.
• Participate in code reviews and mentoring junior engineers.
• Contribute to the continuous improvement of development processes and tools.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field.
• Minimum 5 years of relevant software engineering experience.
• Experience with data streaming platforms such as Apache Kafka, Flink, or Spark.
• Strong understanding of distributed systems, concurrency, and performance optimization.
• Proficiency in at least one programming language commonly used in data streaming (e.g., Java, Python).
• Excellent problem-solving skills and ability to work independently and as part of a team.

Qualifications

• Experience with cloud platforms like AWS, Google Cloud, or Azure.
• Knowledge of database systems and SQL.
• Experience with DevOps practices and tools (e.g., Docker, Kubernetes).
• Ability to learn new technologies quickly and adapt to changing environments.

Skills

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Passion for technology and a desire to stay current with industry trends.

Benefits

• Competitive salary commensurate with experience.
• Flexible working hours and remote work options.
• Health insurance, dental, and vision plans.
• 401(k) retirement plan with company match.
• Annual performance-based bonuses.
• Professional development opportunities and training programs.

Pay

Salary is competitive and commensurate with experience.

Schedule

Full-time position with flexible working hours.