Senior Software Engineer
Zendesk
- Location
- Mexico City, Mexico
- Work model
- On-Site
- Level
- Senior
- Posted
- Jul 15, 2026
Skills
About this role
Job Description
Who We're Looking For: Zendesk is seeking an innovative and motivated Senior Software Engineer to join our growing Engineering & Integration Shared Services team. This role is essential for driving productivity and efficiency across the organization by leveraging cutting-edge tools and processes to address technical business challenges. As part of this team, you will develop software solutions using best-in-class tools and platforms, integrate data across SaaS systems, and enhance the employee and customer experience with Zendesk products.
Responsibilities
Development & Implementation : Design, develop, document, test, and deploy standardized solutions using integration, automation, and middleware tools. Integrate Zendesk products, third-party SaaS systems, and data platforms using appropriate tools and methodologies. Testing & Quality Assurance: Develop and facilitate unit tests, conduct system integration testing, and support user acceptance testing (UAT) to validate solutions before deployment. Maintain high-quality standards throughout development. Backlog Refinement, Sprint Planning & Daily Stand-ups: Participate in backlog grooming and sprint planning to prioritize requirements, define tasks, and identify potential issues. Join daily stand-ups to share progress, discuss challenges, and collaborate with the team within a 2-week Agile Scrum sprint. AI and Innovation: Explore and implement next-generation solutions leveraging AI and machine learning to enhance productivity and efficiency across Zendesk. Collaborate with business teams to identify automation, intelligent workflows, and integration opportunities that drive innovation. Collaboration & Communication: Work closely with developers, IT application owners, solution architects, and business system analysts to deliver high-quality solutions. Communicate technical designs and status updates effectively. Retrospectives & Continuous Improvement: Contribute to sprint retrospectives to evaluate performance and identify process improvements.
Qualifications
Experience : 5+ years in backend or integration engineering, designing and developing scalable microservices, distributed systems, and cloud-based solutions. Programming : Advanced proficiency in Java (required); experience with Node.js or Python is a plus. API, Middleware & Architecture: Demonstrated experience designing, building, and maintaining RESTful APIs, middleware, and event-driven microservices architectures, including asynchronous communication using APIs, events, and messaging systems. Cloud : Fluency with AWS serverless technologies (Lambda, Step Functions, EventBridge, API Gateway, SNS, SQS, SAM, Serverless Framework) or equivalent experience with Azure or GCP. SaaS Integration: Expertise integrating SaaS applications (e.g., Salesforce, Zuora, NetSuite, Workday, Coupa) and ensuring seamless data flow across distributed systems. Testing & Quality: Strong background in unit, integration, and user acceptance testing; experience with code reviews and enforcing coding standards. DevOps Collaboration: Experience collaborating with DevOps teams for deployment, monitoring, and scaling. Agile: Proficient in Agile Scrum methodologies, with experience using Jira and Confluence. Documentation : Ability to document APIs, database schemas, and backend processes for maintainability. Education : BA/BS in Computer Science, IT, or related field, or equivalent industry experience; fluent in English.
Preferred Skills
Programming : Experience with Node.js, Python, or Bash scripting. Leadership: Experience with leading 1-3 person feature teams and mentoring peers Low-code/No-code & iPaaS: Familiarity with iPaaS and low-code platforms (e.g., Workato, Boomi, Mulesoft). CI/CD: Experience implementing and managing CI/CD pipelines (e.g., GitHub Actions, Jenkins, Travis CI). Observability & Monitoring: Familiarity with observability, logging, and monitoring tools (e.g., Datadog, Splunk, CloudWatch). Security &