Senior Software Engineer
- Location
- Chicago, IL
- Work type
- Full Time · Hybrid
- Posted
- 2026-09-09
Job description
Join a team of passionate engineers building the next generation of a high-performing digital marketing platform! As a Senior Software Engineer, you'll play a key role in designing, developing, and automating the release process of our software applications. This is a fantastic opportunity to leverage your expertise in Java, Agile methodologies, and DevOps practices to drive innovation and deliver exceptional user experiences.
This role will report to the Engineering Manager and collaborate closely with product engineers, product managers and solution architects, participating in design reviews and code reviews.
Responsibilities
Be at the forefront of innovation: Contribute to the development of a cutting-edge digital marketing platform, utilizing the latest technologies like AWS, Micronaut Framework, and potentially even exciting new tools like Databricks.
Make a real difference: Your work will directly impact millions of users and contribute to the success of our platform.
Grow your skills: Gain valuable experience in managing production support and release processes, deepening your knowledge of DevOps and cloud technologies.
Live our values: Join a company that prioritizes Trust, Innovation, and Excellence, fostering a collaborative and rewarding work environment.
Accelerate your career: This role offers a clear path for growth within the engineering organization, with opportunities to take on increasing responsibility and leadership.
Become a well-rounded engineer: Develop a diverse skillset encompassing software design, development, automation, deployment, and production support.
Qualifications
What you’ll bring with you:
Bachelor’s degree in computer science or a related field and 5+ years of professional software development experience
Strong Java skills and object-oriented programming experience
Experience with Agile methodologies
Experience with production support and release management
Familiarity with AWS or other cloud platforms
Experience with AWS serverless applications development
Experience with Micronaut or Spring Frameworks
Experience with Apache Spark
Knowledge of DevOps tools like Jenkins and GoCD
Exposure to infrastructure automation tools like Terraform
Familiarity with AI-assisted development tools such as Cursor, GitHub Copilot, or Claude — using them to accelerate coding, code review, debugging, and documentation
Working knowledge of LLM/AI integration patterns — prompt engineering, tool/function calling, RAG (retrieval-augmented generation), or building agentic workflows using frameworks such as LangChain, LangGraph, Spring AI, or AWS Bedrock
Experience or interest in responsible AI practices — understanding model limitations, hallucination risks, and applying human-in-the-loop review patterns in production systems
Why you might stand out from other talent:
Experience with UI technologies like Angular
Experience with GCP or Azure
Experience with Scala & Databricks
Experience with Docker, or Kubernetes
Hands-on experience building or shipping AI-powered features (chatbots, intelligent search, classification, summarization, or recommendation systems)
Experience with AWS Bedrock, OpenAI, Anthropic Claude, or Vertex AI APIs
Familiarity with vector databases (Pinecone, pgvector, OpenSearch) for semantic search or RAG pipelines
Experience evaluating and fine-tuning LLM outputs for accuracy, safety, and cost efficiency