Software Engineer, Cloud Engineer - Software
Listed on 2026-02-16
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Software Development
Cloud Engineer - Software, Software Engineer
NOT AVAILABLE FOR C2C or VISA SPONSORSHIP
Lead Big Data / Backend Software EngineerLocation: Dublin, OH (Hybrid )
Type: Direct Hire
As a Lead Software Engineer in our Data Services Division, you will design, build, and scale backend data systems that power critical products used globally. This is a hands‑on technical leadership role for an experienced backend engineer who can take ownership of complex systems—from inception through delivery—while guiding teams through architecture, execution, and best practices.
This role is ideal for someone who enjoys leading from a technical perspective, setting direction, reviewing designs and code, preventing scalability and concurrency issues, and helping teams move faster and smarter. While you’ll remain technically strong, over time the role can evolve toward more strategic system design and technical oversight, rather than day‑to‑day coding.
There is no front‑end work in this role—this position is 100% backend and data‑focused.
We leverage modern AI tools (including Cursor) to streamline development and improve productivity. You won’t be building AI tools, but comfort using them as part of your workflow is a strong plus.
What You’ll Do Technical Leadership & Delivery- Own and drive end‑to‑end delivery of medium to large‑scale backend and Big Data initiatives.
- Design systems that are scalable, resilient, and concurrency‑safe, identifying risks early and addressing them through strong architecture.
- Evaluate, select, and influence technology stacks and solution approaches in partnership with Architecture teams.
- Lead teams through technical planning, execution, and refinement—ensuring progress, accountability, and clear communication.
- Review designs and code to ensure quality, performance, maintainability, and alignment with best practices.
- Design, develop, and maintain backend services using Java, Spring Boot, Python, and microservices‑based architectures.
- Build and evolve Big Data solutions using technologies such as Hadoop, Spark, Kafka, and Scala.
- Implement data pipelines and services that scale reliably under load.
- Ensure high‑quality delivery through unit, integration, and performance testing.
- Support CI/CD pipelines and production deployments in cloud environments.
- Serve as a technical mentor—providing guidance on system design, coding practices, and problem‑solving approaches.
- Lead and participate in code reviews, helping raise the bar for quality and consistency.
- Model strong written and verbal communication, especially around technical decisions, timelines, and risks.
- Help teams adopt better ways of working, including effective use of modern tooling and AI‑assisted development.
- Translate business and customer needs into well‑architected technical solutions.
- Identify opportunities to improve platform scalability, reliability, and developer efficiency.
- Present complex technical concepts clearly to engineers, architects, and leadership.
- Solve cross‑team technical challenges that have broad organizational impact.
- Bachelor’s degree in Computer Science or a related field, or equivalent professional experience.
- 7+ years of software development experience, including 5+ years of strong Java development.
- Deep expertise in:
- Java and object‑oriented design (design patterns, UML)
- Spring (IoC, Spring Boot), Maven
- REST and SOAP web services
- Backend system design and scalability
- Experience with Big Data technologies (Hadoop ecosystem required; Scala strongly preferred).
- Proficiency with Python.
- Experience working in cloud environments (AWS; Snowflake a plus).
- CI/CD pipeline experience.
- Strong communication skills with a proven ability to move work forward and meet commitments.
- Comfortable working in Linux/UNIX and Windows environments.
- Microservices architecture experience at scale.
- Proven ability to lead technically without direct people management responsibility.
- Experience reviewing and improving large, complex systems.
- Familiarity with using AI‑assisted development tools (e.g., Cursor, copilots) to improve productivity and quality.
- Someone with depth of experience who can go beyond surface‑level solutions.
- A technical leader who drives execution, communicates clearly, and keeps teams aligned.
- A strategic thinker who can design systems today that won’t break tomorrow.
- A mentor who raises the technical bar and helps others grow.
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