Senior Staff Software Engineer

Stack

Responsibilities

• ▹Architect, build, and own full-stack software platforms supporting enterprise infrastructure and operations teams
• ▹Lead the technical design of systems that ingest, process, analyze, and expose infrastructure and operational data at scale
• ▹Develop backend services and APIs for data collection, enrichment, and querying
• ▹Build and maintain web interfaces with advanced search and filtering for technical users
• ▹Design and implement ETL and data processing pipelines for structured and semi-structured data sources
• ▹Ensure applications are fully containerized and production-ready using Docker and Kubernetes
• ▹Act as a technical authority on system design, performance, reliability, and maintainability
• ▹Collaborate with platform, infrastructure, security, and product stakeholders on long-term platform strategy
• ▹Set and uphold engineering best practices around testing, code quality, documentation, and operational readiness
• ▹Review designs and code across the team, raising the overall technical bar
• ▹Identify systemic issues, reduce technical debt, and improve platform scalability and developer experience

Requirements

• ▹Experience as a Staff or Senior Full Stack Software Engineer on complex, production systems
• ▹Proven ability to operate independently in ambiguous, loosely defined problem spaces
• ▹Strong backend engineering experience, including API design and data-intensive services
• ▹Experience building data-driven applications (ingestion, transformation, analysis)
• ▹Proficiency in at least one backend language: C#, Python, Go, or Java
• ▹Strong SQL skills and experience with relational databases
• ▹Hands-on experience with Docker and containerized application delivery
• ▹Solid understanding of distributed systems fundamentals and cloud-native application design

Soft skills

About the company

Cision builds software that supports large-scale, global enterprise infrastructure, giving platform, operations, and engineering teams better visibility, reliability, automation, and decision-making across complex systems.