Cint

Full-stack Engineer

• Design, implement, scale, and maintain backend systems processing large volumes of data
• Work on event-driven and API-based integrations
• Contribute to migration efforts toward a more domain-based and scalable architecture
• Build and optimize software for performance-sensitive workflows
• Investigate technical problems and propose solutions with the team
• Collaborate with data science and engineering colleagues on technical solutions
• Work independently with no supervision while ensuring timely, high-quality delivery
• Influence junior and mid-level engineers for approximately 20% of the time
• Communicate and work closely across the Outcomes, Methodology, and Recruitment teams and related product and data science areas
• Help build the next generation of Cint products and support world-class research

Staff Software Engineer – DSM Team

Salesforce Administrator

• Lead and develop the Salesforce team, setting priorities, standards and expectations
• Act as the senior escalation point during incidents, complex delivery decisions and stakeholder conflicts
• Shape the team operating model, including capacity planning, work allocation, skills development, recruitment support and specialist-partner use
• Own the health and evolution of Sales Cloud, Service Cloud and Experience Cloud
• Set and enforce platform standards for configuration, automation, data models, naming, documentation, testing and technical debt
• Perform complex Salesforce administration, including Flow automation, permissions, validation rules, objects, page layouts, Lightning pages, reports, dashboards, analytics and troubleshooting
• Manage users, joiner/mover/leaver processing, delegated administration and platform hygiene
• Configure and maintain Experience Cloud portals and external access
• Manage platform roadmap, seasonal releases, feature adoption, deprecations, sandboxes and environments
• Evaluate and deploy AppExchange packages
• Oversee Salesforce integrations with Slack and other enterprise applications
• Establish Slack API monitoring and integration alerting standards
• Govern connected apps, OAuth scopes, named credentials, integration users, event-driven services and API consumption
• Lead incident response and problem management
• Own Salesforce security posture, sharing architecture, access controls, audits and compliance activities
• Manage licences, certificates, connected-app and OAuth lifecycles
• Own delivery backlog, release management, GitHub workflows, testing, rollback planning and release communications
• Maintain configuration and change-management documentation
• Improve platform support through service measures, triage, knowledge articles, problem records and trend analysis
• Champion Salesforce data quality and provide reporting on adoption, failures, API consumption, incidents, release quality, access risk and technical debt
• Evaluate and safely adopt Agentforce, Salesforce AI and adjacent enterprise AI tools
• Work closely with Sales, Revenue Operations, Customer Service, Finance, Security, Enterprise Architecture, IT Operations, Data, Integration teams and implementation partners

Manager, Salesforce Administration

People Operations

• Work with engineering and product leaders to rethink organizational structures, team topology, and ways of working in an AI-accelerated world
• Translate AI-related changes into decisions about roles, skills, productivity, and team composition
• Rebuild and improve People processes including performance, hiring, onboarding, merit, and talent systems
• Define strategic direction and ensure execution in practice
• Identify future capabilities and build talent pipelines proactively
• Help leaders operate in ambiguity, make faster decisions, and build sustainable teams
• Protect and strengthen judgment, creativity, trust, and collaboration as AI scales
• Use data and insights to inform decisions while applying sound judgment

Senior People Partner, Technology & Product

• Lead and develop the Salesforce team, setting priorities, standards and expectations
• Act as senior escalation point during incidents, complex delivery decisions and stakeholder conflicts
• Shape team capacity planning, work allocation, skills development, recruitment support and specialist-partner usage
• Own the health and evolution of Sales Cloud, Service Cloud and Experience Cloud
• Set and enforce platform standards for configuration, automation, data models, documentation, testing and technical debt
• Perform hands-on Salesforce administration, including Flow automation, permissions, validation rules, objects, page layouts, Lightning pages, reports, dashboards, analytics and troubleshooting
• Administer users and joiner/mover/leaver processes
• Configure and maintain Experience Cloud portals and external access
• Maintain the platform roadmap and manage seasonal releases, feature adoption, deprecations, sandboxes and environments
• Evaluate and deploy AppExchange packages
• Oversee Salesforce integrations with Slack and other enterprise applications
• Establish Slack API monitoring and integration alerting standards
• Lead incident response and problem management
• Own Salesforce security architecture, access controls, audits and compliance activities
• Manage licences, certificates, connected apps and OAuth lifecycles
• Own delivery backlog, release management, GitHub-based deployments, testing, rollback planning and release communications
• Improve platform support through service measures, triage, knowledge articles, problem records and trend analysis
• Champion Salesforce data quality and provide reporting on adoption, failures, API consumption, incidents, release quality, access risk and technical debt
• Evaluate and safely adopt Agentforce, Salesforce AI and related enterprise AI tools
• Work closely with Sales, Revenue Operations, Customer Service, Finance, Security, Enterprise Architecture, IT Operations, Data, Integration teams and external partners

• Work with engineering and product leaders to rethink organizational structures, team topology, and ways of working
• Translate AI-driven changes into decisions about roles, skills, productivity, and team composition
• Rebuild performance, hiring, onboarding, merit, and talent processes for technology teams
• Define strategic direction and ensure execution
• Identify future capabilities and align talent accordingly
• Help leaders operate in ambiguity, make faster decisions, and build sustainable teams
• Protect judgment, creativity, trust, and collaboration as AI scales
• Use data and insights to inform people and organizational decisions

Senior People Partner, Technology – Product

• Work with engineering and product leaders to rethink organizational structures, team topology, and ways of working
• Translate AI developments into decisions about roles, skills, productivity, and team composition
• Rebuild performance, hiring, onboarding, merit, and talent processes for technology teams
• Define strategic direction and ensure execution
• Identify future capabilities and align talent accordingly
• Help leaders operate in ambiguity, make faster decisions, and build sustainable teams
• Reinforce judgment, creativity, trust, and collaboration as AI scales
• Use data-driven insights to inform decisions while applying judgment

• Design, implement, scale, and maintain backend systems that process large volumes of data
• Work on event-driven and API-based integrations
• Contribute to migration efforts toward a more domain-based and scalable architecture
• Build and optimize software for performance-sensitive workflows
• Investigate technical problems and propose solutions with the team
• Collaborate closely with data science and engineering colleagues on technical solutions
• Influence junior and mid-level engineers for approximately 20% of the time
• Focus on complex technical problems for approximately 80% of the time
• Work independently with no supervision while ensuring timely, high-quality delivery
• Communicate and work closely across the Outcomes, Methodology, and Recruitment teams and with product and data science

Staff Software Engineer – DSM

• Design, implement, scale, and maintain backend systems processing large volumes of data
• Work on event-driven and API-based integrations
• Contribute to migration toward a more domain-based and scalable architecture
• Build and optimize software for performance-sensitive workflows
• Investigate technical problems and propose solutions with the team
• Collaborate with data science and engineering colleagues
• Work autonomously to ensure timely, high-quality delivery
• Influence junior and mid-level engineers for approximately 20% of the role
• Collaborate across Outcomes, Methodology & Recruitment teams and with product and data science
• Help build the next generation of Cint research technology products

• Design, implement, scale, and maintain backend systems processing large volumes of data
• Work on event-driven and API-based integrations
• Contribute to migration toward a more domain-based and scalable architecture
• Build and optimize software for performance-sensitive workflows
• Investigate technical problems and propose solutions with the team
• Collaborate with data science and engineering colleagues
• Work independently with no supervision while ensuring timely, high-quality delivery
• Influence junior and mid-level engineers for approximately 20% of the time
• Collaborate across the Outcomes, Methodology, and Recruitment teams and with product and data science

• Design, implement, scale, and maintain backend systems that process large volumes of data
• Work on event-driven and API-based integrations
• Contribute to migration efforts toward a more domain-based and scalable architecture
• Build and optimize software for performance-sensitive workflows
• Investigate technical problems and propose solutions with the team
• Collaborate closely with data science and engineering colleagues on technical solutions
• Work autonomously on complex problems and ensure timely, high-quality delivery
• Influence junior and mid-level engineers
• Communicate and work closely across Outcomes, Methodology, and Recruitment teams, as well as product and data science

Infrastructure Engineer

• Lead the modernization of continuous integration and delivery pipelines by transitioning from Jenkins to Harness
• Automate software builds and deployments to eliminate repetitive manual operational overhead across R&D
• Design, provision, and maintain high-availability AWS infrastructure including EKS, RDS, S3, and ElastiCache
• Use modular Terraform, Docker, and Kubernetes to maintain infrastructure
• Ensure 100% Infrastructure-as-Code compliance across all platforms
• Serve as an embedded infrastructure expert supporting application development teams
• Assist software engineers through the “Ask Infrastructure” channel
• Troubleshoot deployment issues and upgrade dependencies
• Embed DevOps culture across engineering scrums
• Enhance system telemetry and alerting across Grafana, Prometheus, and the ELK stack
• Participate in an on-call rotation to maintain platform availability

Senior Cloud Infrastructure Engineer

• Lead the migration of continuous integration and delivery pipelines from Jenkins to Harness
• Automate software builds and deployments to reduce manual operational overhead across R&D
• Design, provision, and maintain high-availability AWS infrastructure, including EKS, RDS, S3, and ElastiCache
• Build modular infrastructure using Terraform, Docker, and Kubernetes
• Ensure 100% Infrastructure-as-Code compliance across platforms
• Support application development teams as an embedded infrastructure expert
• Troubleshoot deployment issues and upgrade dependencies through the “Ask Infrastructure” channel
• Embed DevOps practices across engineering scrums
• Enhance telemetry and alerting across Grafana, Prometheus, and the ELK stack
• Participate in an on-call rotation to maintain platform availability

• Lead the migration of continuous integration and delivery pipelines from Jenkins to Harness
• Automate software builds and deployments across R&D
• Design, provision, and maintain high-availability AWS infrastructure using EKS, RDS, S3, ElastiCache, Terraform, Docker, and Kubernetes
• Ensure Infrastructure-as-Code compliance across platforms
• Support application development teams as an embedded infrastructure expert
• Troubleshoot deployment issues and upgrade dependencies through the Ask Infrastructure channel
• Embed DevOps practices across engineering scrums
• Enhance telemetry and alerting using Grafana, Prometheus, and the ELK stack
• Participate in an on-call rotation to maintain platform availability

• Lead the transition of continuous integration and delivery pipelines from Jenkins to Harness
• Automate software builds and deployments to reduce manual operational overhead across R&D
• Design, provision, and maintain high-availability AWS infrastructure including EKS, RDS, S3, and ElastiCache
• Use modular Terraform, Docker, and Kubernetes for infrastructure automation
• Ensure 100% Infrastructure-as-Code compliance across platforms
• Support application development teams as an embedded infrastructure expert
• Troubleshoot deployment issues and upgrade dependencies through the "Ask Infrastructure" channel
• Embed DevOps culture across engineering scrums
• Enhance telemetry and alerting across Grafana, Prometheus, and the ELK stack
• Participate in an on-call rotation to maintain platform availability after a structured 3-month onboarding runway

• Design and implement patterns for legacy displacement and move domains out of the monolith with zero downtime
• Own the architectural vision, patterns, standards, and trade-offs for legacy displacement across the domain
• Define technical direction for modernization from Go toward Java/Kotlin/Spring
• Mentor senior and mid-level engineers
• Raise engineering quality through design reviews
• Build new services and transition existing systems from Go to Spring
• Collaborate with product managers to shape requirements and roadmap
• Balance technical debt with new product value
• Communicate through written documentation and asynchronous collaboration across timezones
• Use Grafana and modern tracing to monitor system health and reliability
• Leverage agentic programming tools such as Claude Code to accelerate refactoring and development