StrongSD

About the Role

We are looking for a Senior Software Engineer to design, build, and evolve a robust serverless backend infrastructure. You will take ownership of cloud engineering initiatives, ensure system reliability and scalability, and help shape an AI-first development culture. This role involves architecting distributed systems, scalable APIs, and secure payment and subscription integrations, all while maintaining enterprise-grade standards for performance and reliability.
 

Key Responsibilities
 

• Architect and build scalable, high-availability backend systems leveraging serverless cloud technologies.
• Collaborate closely with product, design, and operations teams to deliver seamless user experiences.
• Lead AI-driven engineering initiatives, ensuring long-term maintainability and scalability.
• Mentor and guide engineers, promoting a culture of technical excellence.
• Design, develop, and maintain backend services in Node.js and Python within AWS environments (Lambda, API Gateway, DynamoDB, SQS, SNS, etc.).
• Collaborate with front-end teams for efficient client-server integration (React.js).
• Implement best practices in monitoring, logging, and automated alerting.
• Conduct code reviews, troubleshoot production issues, and drive continuous improvement.
• Maintain clear and comprehensive technical documentation.
• Proactively identify architectural enhancements to improve system resilience and performance.
• Work autonomously with a strong sense of ownership and accountability.
   

Qualifications

• 10+ years of professional software development experience.
• Advanced proficiency in Node.js and Python with a strong grasp of asynchronous programming.
• Hands-on experience with AWS serverless technologies (Lambda, API Gateway, DynamoDB, S3, SQS, SNS).
• Strong knowledge of database design and optimization (SQL and NoSQL).
• Experience implementing CI/CD pipelines and automated testing frameworks.
• Demonstrated expertise in site reliability engineering (SRE), including monitoring and failover strategies.
• Excellent analytical and communication skills with the ability to work in distributed teams.
• Background in SaaS product development and familiarity with SaaS-specific scalability challenges.
• Experience working within Agile methodologies.
   

Nice to Have

• Familiarity with AWS security and compliance best practices.
• Experience in real-time analytics or event-driven architectures.
• Knowledge of C# or additional backend languages.
• Experience designing microservices architectures.
• Exposure to high-traffic consumer applications.
• Understanding of networking and URL routing logic (e.g., link shortening and redirection).

About the Role

We are seeking a Senior Data Engineer to architect, build, and own a complete data ecosystem in a fast-growing, cloud-native environment. This role offers the rare opportunity to design and implement data infrastructure from the ground up, with a focus on AWS technologies such as Redshift, DynamoDB, and RDS. You’ll also develop reverse ETL pipelines to operationalize insights across core systems, helping shape how data drives decision-making company-wide.

You will work remotely from Poland, collaborating cross-functionally with product, engineering, and growth teams. Your work will directly influence company strategy and empower every team to make informed, data-driven decisions.
 

Key Responsibilities
 

Data Ownership and Architecture

• Serve as the primary data engineer responsible for designing and maintaining the company’s end-to-end data infrastructure.
• Define and implement scalable, high-performance data systems capable of supporting millions of users.
• Make architectural decisions that set the foundation for long-term data strategy.
   

AWS Data Infrastructure

• Design and optimize AWS Redshift as the central analytics warehouse.
• Build ingestion pipelines from RDS, DynamoDB, and other NoSQL sources.
• Leverage AWS services (Lambda, Glue, Kinesis, S3) for a modern and efficient data stack.
• Manage query performance tuning, cluster scaling, and cost optimization.
   

Reverse ETL and Data Activation

• Build reverse ETL pipelines to operationalize analytics data.
• Sync enriched datasets to production systems, CRM, and customer engagement tools.
• Implement real-time data activation and feedback loops that improve user experience.
   

Scalability and Governance

• Rapidly prototype and deploy data solutions to support business growth.
• Develop self-service analytics capabilities for non-technical teams.
• Establish and maintain scalable data governance and data quality frameworks.
   

Technical Leadership

• Define and enforce best practices in data engineering and cloud infrastructure.
• Mentor engineers on AWS and data technologies.
• Translate complex business needs into technical solutions.
• Champion data quality, consistency, and reliability across all systems.
   

Requirements

• 5+ years of hands-on experience with AWS Redshift, including performance tuning and cluster management.
• 3+ years working with AWS RDS and DynamoDB, including NoSQL modeling.
• Proven experience implementing reverse ETL pipelines and data activation frameworks.
• Strong programming skills in Python or equivalent language for data pipelines.
• Experience independently leading data infrastructure projects or serving as a solo data engineer.
• Strong knowledge of modern data stack tools (e.g., dbt, Airflow, Fivetran, Census).
• Familiarity with streaming architectures, real-time analytics, and data warehousing principles.
• Proficiency with Infrastructure as Code (Terraform preferred).
• Excellent communication skills and ability to work effectively in remote, distributed teams.
• Experience working in SaaS or scale-up environments, including familiarity with SaaS metrics and data challenges.
   

Technical Competencies

• Advanced SQL and query optimization.
• Experience with CDC (Change Data Capture) and API-based data services.
• Knowledge of data quality frameworks and metadata management.
• Cost optimization for AWS data workloads.
• Understanding of SaaS data models, including multi-tenancy and subscription analytics.
   

Preferred Qualifications

• Experience with AWS Kinesis or other real-time streaming platforms.
• Exposure to ML pipelines or AWS SageMaker.
• Familiarity with customer data platforms (CDPs).
• Experience in product analytics and experimentation systems.
• Contributions to open-source data tools or frameworks.

We’re looking for a highly experienced Senior Software Engineer with a strong foundation in C#/.NET and production-ready experience in Python. You will design, build, and scale backend systems that power our core platform. This role is ideal for someone who enjoys solving complex architectural challenges, improving backend performance, and working in a fast-moving environment with a modern engineering culture.

You will collaborate with product, design, and platform teams, contribute to system architecture, and help us build a reliable, secure, and scalable infrastructure.
What You’ll Do

• Build and maintain backend services and APIs using C#/.NET (Core).
• Develop automation, internal tools, integrations, or microservices using Python.
• Design distributed systems with a focus on scalability, observability, and fault tolerance.
• Collaborate with product, design, and frontend teams to implement end-to-end functionality.
• Implement best practices in testing, CI/CD, instrumentation, and system monitoring.
• Own technical solutions from design to deployment and ongoing maintenance.
• Troubleshoot production issues and perform root-cause analysis.
• Participate in code reviews and contribute to engineering excellence.
• Document system components, architectural decisions, and internal standards.
• Mentor mid-level engineers and contribute to a culture of continuous improvement.
  
  What We’re Looking For
• 8–10+ years of professional software engineering experience.
• Deep expertise in C#/.NET Core.
• Strong experience with Python in production environments.
• Solid knowledge of distributed systems, asynchronous programming, and API design.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Understanding of SQL and NoSQL database design and optimization.
• Strong debugging and performance-tuning skills across backend services.
• Experience with CI/CD pipelines, containers, and infrastructure automation.
• Excellent communication skills and ability to work in global remote teams.
• Strong ownership mindset and ability to make autonomous technical decisions.
  
  Nice to Have
• Experience with microservices architecture.
• Familiarity with serverless components (Lambda, Azure Functions, API Gateway, etc.).
• Experience with event-driven systems (SQS/SNS, Kafka, Service Bus).
• Knowledge of Node.js (even at a basic level).
• Background in SaaS or high-load consumer systems.
• Security-minded engineering approach.