Senior Software Engineer

Meet Our Team:

The Platform Security team is deeply involved in designing and delivering core security capabilities that power the Pega platform architecture. Security is foundational to building robust, end-to-end enterprise applications, and this team leads the way in ensuring that foundation is strong. We focus on building platform that is secure, leveraging industry-leading security practices and technology advancements, so that clients can build and operate their applications in a secure, trusted environment.

Picture Yourself at Pega:

In this role, you will engage deeply in building core security features of the Pega platform architecture. You will own and deliver critical security enhancements that make a significant positive impact on client applications. This is an opportunity to be part of a team that excels in building software that is secure, scalable, observable, seamlessly upgradable, and highly performant.

What You'll Do at Pega:

• Take ownership of designing and implementing enhancements, driving them through to completion.
• Review design proposals and code changes, providing timely and constructive feedback.
• Actively participate in technical discussions and proactively manage dependencies to meet objectives.
• Follow established DevOps practices and effectively execute assigned tasks.
• Develop strong expertise in application security features, including encryption, authentication, and authorization.
• Effectively leverage GenAI in day‑to‑day work, aligning with the organization’s direction toward agentic engineering.
• Deliver high‑quality enhancements through well‑structured code and robust automation.
• Adopt evolving SDLC process changes as AI matures, to improve engineering efficiency and effectiveness
• Continuously seek opportunities to learn, improve skills, and grow technical depth.

Who You Are:

You are a high-energy software engineer that can envision innovative solutions for new feature development, implement efficient testing for the variety of platforms Pega supports and can work effectively as an individual, paired with another engineer and as a team member. You must have a strong Java development background and come prepared to learn and explore Pegasystems’ technology. You are expected to think independently, but also value teamwork as you design and develop first-rate software in a collaborative setting. Previous experience with data access technologies is preferred.

What You've Accomplished:

• 4-7 years of software development experience, preferably in a product development company.
• Bachelor’s degree in computer science or similar field.
• Hands-on development experience with latest technologies
• Passionate to explore and hands-on learning of new technologies
• Hands on experience in writing and understanding algorithms and data structures.
• Solid understanding of, and practical experience with DevOps and Software Development Life Cycle (SDLC)
• Practical Knowledge of and/or willingness to work as per Agile/Scrum methodologies.
• Ability to work collaboratively in a team to brainstorm, plan and develop new features.

Pega Offers You:

• Gartner Analyst acclaimed technology leadership across our suite of products 
• Continuous learning and development opportunities 
• An innovative, inclusive, agile, flexible, and fun work environment 
• Competitive global benefits program inclusive of pay + bonus incentive, employee equity in the company

Additional Information

Base salary range for this role is 102,400 - 153,200 USD annually. This role may also be eligible for annual bonus OR commission, as well as benefits and other incentives.

The final compensation will be determined during the offer process based on the candidate's education, experience, skills, and qualifications, as well as market conditions and may vary from the posted range. We will share an information on benefits, bonus/commission, and other pay components for this role at the relevant recruitment stage.

At Pega, we actively explore and embrace emerging AI capabilities with curiosity, responsibility, and a drive for meaningful innovation. You will work in an environment where AI-enabled tools are used to enhance learning, improve engineering efficiency and support better decision-making across the cloud platform.

We expect engineers to apply critical thinking to all AI-generated outputs, validating accuracy, quality, and relevance before applying them in production environments. We view AI maturity as a spectrum, progressing from foundational adoption toward more strategic, advocacy-driven integration, and you will play an active role in that journey.

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