Senior Staff Software Engineer - EISS

Zendesk is seeking an innovative and motivated Senior Staff Software Engineer to join our growing Engineering & Integration Shared Services team. We are looking for an experienced engineer with a track record of designing, building, and maintaining RESTful APIs, middleware, and event-driven microservices architectures, including asynchronous communication using APIs, events, and messaging systems. 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.

What you get to do everyday:

• Work with a team of intelligent and humble engineers who own their products and share a vision for what they build
• Lead global initiatives and shape the vision to bring our API ecosystem to the next level
• Develop global tools to enable consistent documentation, contract testing, and uplift API related experiences
• Influence architectural decisions. Champion standards, tools, and strategies across Zendesk middleware, orchestration services and APIs.
• Work across a broad range of technologies including Go, Ruby, and AWS cloud services
• Collaborate on ambitious and impactful programs with multiple global teams
• Maintain observability, stability and lead data-driven decisions
• Mentor other members of the team and advocate for engineering excellence
• Proactively contribute to improve our infrastructure, code, and processes
• Explore and implement next-generation solutions leveraging AI and machine learning to enhance productivity and efficiency across Zendesk.

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.

The Poland annualized base salary range for this position is zł341,000.00-zł511,000.00. Please note that while the salary range represents the minimum and maximum base salary rate for this position, the actual compensation offered will be based on job related capabilities, applicable experience, and other relevant factors. This position may also be eligible for bonus, benefits, or related incentives that will be communicated during the offer stage.

• An experienced engineer with a track record of delivering large-scale, high quality, and resilient web systems
• Knowledge and hands-on experience with back-end development.
• Experience in building microservices, orchestration services and APIs with an understanding of API design and best practices. Familiarity with API specifications (OpenAPI, Swagger, RAML, API Blueprint) is nice to have.
• Ability to understand and present sophisticated concepts in a relevant and considerate manner. Explain and reason your technical decisions clearly and effectively.
• Great collaboration and communication skills. Effectively work with cross-functional teams and departments.
• Ability to influence without authority, inspire and mentor others.
• Care deeply about elegant, performant, and scalable code. A learning mentality and a desire to continuously expand your skills.

Qualifications:

• Experience: 10+ 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.
• 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).