Senior Software Engineer (m/f/d)

Accountabilities • Design, develop, deploy, and maintain highly scalable software components and data pipeline architectures capable of processing large-scale data volumes.

• Build and improve complex distributed systems, exploring low-level system behavior and optimizing interactions between services and components.

• Develop and maintain data pipelines that meet functional and non-functional business requirements.

• Create efficient data extraction, transformation, and loading (ETL) processes using SQL and big data technologies.

• Build data tools and infrastructure that help data scientists and analysts improve analytics capabilities and optimize product performance.

• Contribute to the development and maintenance of real-time bidding systems, real-time budget management, event-processing platforms, and other distributed components.

• Apply AI-powered development tools and agentic coding techniques to streamline everyday engineering workflows and improve development efficiency.

• Collaborate with data science, analytics, product, and business stakeholders to deliver reliable, high-impact technical solutions.

• Share technical knowledge, support engineering best practices, and mentor junior software engineers.

Requirements:

• At least 5 years of professional software engineering experience, including coding and implementing complex projects in distributed systems.

• Strong proficiency in Java, which is essential for this role.

• Deep understanding of multithreading, the Java Virtual Machine (JVM), garbage collection (GC), and performance profiling tools.

• Solid knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals.

• Practical experience with relational SQL databases and NoSQL databases.

• Strong working knowledge of Unix/Linux environments.

• Hands-on experience with AI-assisted development tools such as Claude Code or GitHub Copilot, including practical adoption of AI-driven and agentic coding workflows.

• Ability to investigate complex technical problems, design robust architectures, and optimize performance at scale.

• Strong collaboration and communication skills, with the ability to work effectively in an agile, cross-functional environment.

• Curiosity, adaptability, and enthusiasm for continuous learning and technical innovation.

• A degree in Computer Science or a related discipline.

• Nice to have: Experience with C++ or Golang.

• Nice to have: Previous experience in machine learning (ML) or data science (DS).

• Nice to have: Background in advertising technology (AdTech) or marketing technology (MarTech).

Benefits:

• Flexible, fully remote working arrangement in India, with access to an office in Bangalore if desired.

• Competitive career development and learning opportunities within a team of experienced engineers and industry professionals.

• Direct, day-to-day collaboration with senior management.

• An international, multicultural team working across several countries.

• A $500 home-office setup budget.

• A $1,000 annual learning and development budget for professional growth.

• Regular company events and opportunities to connect with colleagues.

• The opportunity to work on technically challenging, large-scale systems and contribute to innovation in the advertising technology sector.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

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.

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