Sr. Software Engineer - Data Platform

What You Will Do (Essential Responsibilities):

Design, develop, and maintain production-ready data pipelines, platform services, and integrations

Build scalable cloud-native data platform solutions that ingest, process, transform, and deliver data at scale

Build platform solutions using microservices and containerized architectures

Write and maintain unit, integration, and performance tests

Develop and maintain technical documentation for platform services, data integrations, and APIs

Collaborate with engineering, product, and operations teams across the full development lifecycle

Participate in Agile/Scrum ceremonies (stand-ups, planning, refinement, retrospectives)

Support deployment, monitoring, and operational readiness of data platform services in production

Who You Are (Soft Skills):

Collaborative and team-oriented , working effectively with Software Engineers, Data Engineers, CloudOps/DevOps, and Product Managers to deliver high-quality cloud solutions.

Clear and proactive communicator , able to explain technical concepts, raise risks early, and keep stakeholders aligned across the development lifecycle.

Product-minded and customer-focused , balancing engineering excellence with real-world usability, reliability, and business impact.

Ownership-driven , taking accountability for building production-ready services and supporting them through deployment, monitoring, and operational readiness.

Comfortable in fast-moving environments , adapting quickly to evolving requirements while maintaining strong delivery discipline.

Strong problem-solver , able to debug complex distributed systems issues and make sound technical decisions under ambiguity.

Quality-focused , with a mindset of building maintainable, well-tested software through automation, unit/integration testing, and performance validation.

Agile and delivery-oriented , actively contributing in Scrum ceremonies and continuously improving team execution and technical outcomes.

Documentation-conscious , valuing well-structured internal and external API documentation to enable smooth adoption and long-term maintainability.

Operationally aware , understanding that “done” means stable in production, observable, and ready to support at scale.

What You Need (Qualifications)

Bachelor’s degree in Computer Science, Computer Engineering, or related field with a formal software engineering background, or equivalent experience

5+ years of professional software development experience

Strong experience with Python and/or Golang

Experience developing and deploying solutions on AWS or comparable cloud platforms

Experience building cloud and/or standalone APIs

Experience with distributed systems, microservices, and/or data-intensive architectures

Experience with CI/CD pipelines and continuous delivery practices

Experience deploying applications using Docker

Solid understanding of Agile development methodologies

Experience writing automated unit and integration tests

Strong collaboration and communication skills; ability to work with evolving requirements

What would be nice (preferred skills & experience):

1+ year of production experience in Golang

Experience with Apache Airflow or other orchestration tools

Database experience, preferably PostgreSQL

Experience with AWS services such as:

EC2, RDS , S3, VPC, PubSub, API Gateway, KMS

Experience with Infrastructure as Code (Terraform, CloudFormation, AWS CDK )

Experience with gRPC and Protocol Buffers

Familiarity with event-driven architectures

Experience with image processing or machine learning systems

Front-end experience with React/Redux

Experience with additional languages such as Java, Bash, Groovy or C++