Roles And Responsibilities

Job Description — Sr. Backend Engineer (Java, Hadoop)

Adobe Pass is a well-established product suite serving the TV Everywhere industry, powering authentication and access experiences for major North American media and entertainment providers. We operate our systems at massive scale, supporting major live sports, business, and lifestyle events across millions of viewers.

We are now expanding our team with a Senior Backend Engineer who thrives in a fast-paced, customer-focused environment and is passionate about building scalable, secure, and high-performance systems. The ideal candidate has strong technical depth across frontend and backend technologies, a keen eye for system design, and a proven ability to mentor others while delivering high-quality, production-ready software in an agile setup.

Responsibilities

Design and develop end-to-end web applications using modern frontend and backend technologies.
Architect and implement scalable RESTful APIs using Java, Spring Boot, and microservices.
Lead design discussions and make architectural decisions that ensure scalability, reliability, and performance.
Drive observability, monitoring, and reliability through effective instrumentation and alerting practices.
Own the performance and resiliency of SLA-critical APIs, ensuring optimal response times and uptime.
Implement and enforce best practices for security, including authentication, authorization, and data protection at all layers.
Collaborate with cross-functional teams — including product managers, designers, and engineers — to deliver intuitive, high-impact solutions.
Contribute to shared frameworks, libraries, and engineering standards that enhance code quality and reusability.
Conduct code reviews, design reviews, and provide technical mentorship to junior engineers.
Continuously evaluate emerging technologies, tools, and frameworks to drive innovation and efficiency within the team.

What You Need To Succeed

Bachelor's or Master's degree in Computer Science or a related field, with 10+ years of experience building and operating full-stack, production-grade web applications.
Strong fundamentals in computer science, data structures, algorithms, and large-scale system design.
Deep expertise in Java, Spring Boot, RESTful web services, and microservices architecture.
Deep expertise with cloud-native development and deployment (Docker, Kubernetes, CI/CD).
Ensure high availability, scalability, and resilience of production systems, with a focus on observability and cost optimization.
Expertise in distributed systems - Hadoop, HBase, Spark, Apache Ignite, DynamoDB or other SQL/NoSQL databases — including schema design and query optimization.
Strong experience in observability and monitoring tools (Grafana, Prometheus, Elastic Stack, Splunk, New Relic, or Datadog).
Demonstrated success in performance tuning, capacity planning, and SLA adherence for mission-critical APIs.
In-depth knowledge of web security, including OAuth2, JWT, SAML, and secure coding practices.
Run and optimize Spark jobs to process and analyse large datasets that support application features or reporting.
Knowledge of load testing and performance benchmarking tools (JMeter, Gatling).
Experience with event-driven systems and message queues (Kafka, RabbitMQ).
Excellent problem-solving, debugging, and analytical skills.
Strong communication and collaboration abilities, with a track record of mentoring and technical leadership within teams.

Bonus Points

Experience in JavaScript, TypeScript, React, HTML, and CSS for creating responsive, modern UIs.
Experience with testing frameworks such as JUnit, Mockito, Jest, or Cypress.
Exposure to DevSecOps practices and automated security scanning.
Contributions to open-source projects or active engagement in developer communities.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [HIDDEN TEXT] or call +1 408-536-3015.

AI Use Guidelines for Interviews:

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

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