We’re looking for a Medior Backend Software Engineer to design, build, and operate scalable backend services in a cloud‑native environment. In this role, you’ll work on distributed systems, data processing workflows, and integrations with external services, taking features end‑to‑end from design through deployment and production support on AWS.
Responsibilities
Design, develop, and maintain backend services and APIs in a cloud-native environment
Work on distributed systems handling data processing, orchestration, and integrations with external services
Implement and maintain production-grade solutions running on AWS (ECS, Glue, S3, RDS, etc.)
Collaborate closely with other engineers, data engineers, and stakeholders to deliver reliable features
Participate in code reviews, architectural discussions, and technical decision-making
Troubleshoot, debug, and optimize existing systems in development and production environments
Contribute to CI/CD pipelines, infrastructure automation, and deployment processes
Take ownership of features end-to-end, from design through implementation and production support
Experience
3+ years of professional software development experience
Strong experience building backend applications (preferably in Go, Java, or Python)
Experience working with relational databases (MySQL or similar) and writing efficient queries
Hands-on experience with cloud platforms, preferably AWS
Familiarity with containerization and orchestration (Docker, ECS, Kubernetes, or similar)
Experience working in agile development teams
Production experience: operating, monitoring, and debugging live systems
Knowledge & Skills
Solid understanding of software engineering fundamentals (clean code, design patterns, testing)
Experience with RESTful APIs and service-to-service communication
Understanding of CI/CD concepts and modern deployment workflows
Familiarity with data-driven or ML-adjacent systems is a plus (data pipelines, model training, ML lifecycle)
Comfortable working with Linux environments and basic shell scripting
Strong problem-solving skills and ability to work independently
Good communication skills and a collaborative mindset
Ability to balance speed and quality in a production environment
Nice to have
Experience with AWS Glue, Snowflake, or large-scale data platforms
Experience with Infrastructure as Code (CloudFormation, CDK, Terraform)
Experience with distributed systems or high-throughput data processing
Familiarity with ML/analytics workflows or data science tooling
What Dynata Can Offer You
A high-impact role with autonomy and responsibility.
Opportunities to lead initiatives and influence technical direction.
A culture that encourages exploring and adopting AI-driven development practices.
Competitive compensation, benefits, and professional development support.
About Us
Dynata is the world’s largest first-party data and insights platform. With a reach that encompasses 62 million consumers and business professionals globally, and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data. The company has built innovative data services and solutions around its robust first-party data offering to bring the voice of the customer to the entire marketing continuum – from strategy, innovation, and branding to advertising, measurement, and optimization. Dynata serves nearly 6,000 market research, media and advertising agencies, publishers, consulting and investment firms and corporate customers in North America, South America, Europe, and Asia-Pacific. Learn more at www.dynata.com.
At Dynata, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. Dynata welcomes and encourages applications from people with disabilities. We are committed to an inclusive work culture for all our employees. Accommodations by request can be made for all aspects of the selection process.
For administrative purposes your personal data will be kept on record and will be disclosed and transferred both within and outside the European Economic Area, including the United States of America. We shall take all reasonable steps to prevent any unauthorized access to your personal data.
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