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 & Compliance: Understanding of security best practices, governance, data compliance, and privacy standards.
Data Management: Experience with ETL/ELT processes and cloud databases (e.g., DynamoDB, Snowflake, BigQuery, SQL).
Data Orchestration: Knowledge of orchestration and data transformation tools (e.g., Apache Airflow, Astronomer, dbt, Fivetran).
Change Management: Proven ability to drive adoption of new processes and technologies.
AI/ML: Exposure to automation using AI, machine learning, or natural language processing. Awareness of Model Context Protocol (MCP).

Please note that anyone hired into this position must be physically located in and plan to work from Mexico City (CDMX) or Mexico State (Estado de Mexico).

📌 Senior Software Engineer (Ciudad de México)
🏢 Zendesk
📍 Ciudad de México