Job Description
Senior Cloud Development Engineer, Cloud Backing Services
Job Category: Product Engineering
Location: US - Massachusetts - Waltham
Meet Our Team:
Cloud Backing Services builds and evolves the foundational cloud services used across Pega Cloud. Our team focuses on the engineering behind these services: defining supported architectures and configurations, automating provisioning, improving self-service capabilities, and helping teams use cloud backing services safely and efficiently at scale.
For Kafka, we provideplatformengineeringexpertisethat makes the service consistent, scalable, secure, observable, andappropriate fordifferent workload patterns. We partner closely with Cloud Operations, application engineering, security, and infrastructure teams. Routine day-to-day production operations are owned by a dedicated operations team; Cloud Backing Services becomes directly involved when a case requires deeper platformexpertise, non-standard analysis, or a systemic engineering improvement.
We are a globally distributed engineering team that values ownership, curiosity, pragmatic problem solving, automation, knowledge sharing, and continuous improvement.
Picture Yourself at Pega:
You will be one of the engineers shaping how Kafka is delivered and consumed across Pega Cloud. You will work on problems that sit at the intersection of distributed systems, cloud infrastructure, automation, performance, reliability, and cost - from choosing the right service patterns and sizing guidance to investigating difficultbehaviorsthat cannot be solved through standard operational procedures.
You will turn recurring problems into durable engineering solutions: better provisioning, clearer guardrails, stronger diagnostics, improved documentation, and safer platform capabilities. You will also use modern AI-assisted engineering tools as a practical multiplier for investigation, analysis, automation, prototyping, documentation, and knowledge discovery - while applying sound engineering judgement andvalidatingthe results.
What You'll Do at Pega:
+ Design and evolve Kafka-based cloud capabilities offered to engineering teams.
+ Partner with application teams on architecture, sizing, rightsizing, capacity planning, partitioning, storage, retention, replication, and expected workload growth.
+ Perform root-cause analysis and turn difficult or recurring cases into improvements in automation, diagnostics, platform standards, and documentation.
+ Use AI-assisted engineering tools to accelerate log and configuration analysis, hypothesis exploration, code and automation development, documentation, and prototyping - and critically validate generated output.
+ Identify opportunities to apply AI and automation to reduce repetitive work, shorten feedback loops, improve developer experience, and increase engineering leverage.
+ Collaborate with cloud infrastructure, security, platform, and application engineering teams on cross-cutting technical challenges and architectural decisions.
+ Share knowledge, mentor other engineers, and help raise engineering standards across Cloud Backing Services.
Who You Are:
+ You are a systems thinker who enjoys understanding how distributed components interact and where failures, bottlenecks, or hidden constraints can emerge.
+ You take ownership of ambiguous technical problems and can drive them from investigation through design, implementation, and measurable improvement.
+ You collaborate effectively across engineering and operations, communicate clearly, and can explain complex technical trade-offs to different audiences.
+ You are not constrained by organizational hierarchy. When faced with a task, you proactively engage with anyone who can provide relevant context - regardless of their role or seniority - to understand different use cases and identify the best path forward for everyone involved.
+ You are pragmatic: you balance reliability, scalability, performance, complexity, security, and cost rather than optimizing a single dimension in isolation.
+ You naturally look for ways to replace repetitive manual work with automation, self-service capabilities, better tooling, or clearer platform patterns.
+ You are curious about new technologies - including AI-assisted engineering - and know how to experiment quickly while keeping engineering judgement, validation, security, and accountability with the human engineer.
What You've Accomplished:
+ Strong hands-on experience with Apache Kafka in large-scale environments.
+ Solid understanding of Kafka architecture and behavior, including brokers/controllers, topics, partitions, replication, consumer groups, shared groups, offsets, rebalancing, retention, and failure modes.
+ Experience diagnosing complex problems in Kafka or other distributed systems and identifying underlying technical causes.
+ Experience with at least one major public cloud platform, preferably AWS or Google Cloud.
+ Experience with Infrastructure as Code and automated platform delivery, such as Terraform and CI/CD or GitOps workflows.
+ Experience using Go, Python, Java, or another programming/scripting language to build automation, tooling, or platform capabilities.
+ Good understanding of cloud networking, DNS, TLS, identity and access management, and observability concepts relevant to distributed services.
+ Professional experience working with cross-functional engineering teams and communicating effectively in English.
Pega Offers You:
+ Gartner Analyst acclaimed technology leadership across our categories of products
+ Continuous learning and development opportunities
+ An innovative, inclusive, agile, flexible, and fun work environment
+ Competitive global benefits program inclusive ofpay + 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.
#LI-CL1
Job ID: 23962
AI in Action – Responsible Use of AI in Recruitment
Pega embraces the responsible use of artificial intelligence (AI) to improve efficiency, consistency, and fairness across our business. We encourage thoughtful and ethical adoption of AI technologies that support people—not replace them. We may use AI‑enabled tools in our recruitment process. These tools are designed to assist us by providing insights and operational support.
All hiring decisions are made based on human review and judgment. You may have the right to request human review, provide additional information, or raise questions about how such tools are used.
Culture
At Pegasystems, we foster an environment where people feel valued and empowered to contribute their best. With global clients across industries and regions, we know our success depends on the unique perspectives, experiences, and talents of our people. Ours is a workplace where everyone can grow, collaborate, and deliver meaningful outcomes.
We encourage candidates from all backgrounds and experiences and focus on the core competencies and mindset needed to thrive in a role.
As an Equal Opportunity employer, Pegasystems will not discriminate in its employment practices due to an applicant's race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran or disability status, or any other category protected by law.
This same mindset shapes how we work, encouraging curiosity, continuous learning, and smarter ways of working with AI. At Pegasystems, we believe the best ideas come from curious people who embrace change, learn continuously, and use AI to work smarter and move faster. Guided by our values, we bring a growth mindset to every challenge and create lasting impact together.
Export Compliance
For positions requiring access to technical data subject to export control regulations such as this, Pegasystems may need to obtain export license approval from the U.S. Government and EU Authorities for certain individuals.
Accommodations
If you require reasonable accommodations under the Americans with Disabilities Act (US only) or comparable regional regulations in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process,or contact (US only) 1-888-PEGA-NOW and/or 225 Wyman Street Waltham, MA 02451 ATTN: Benefits.
Privacy Notices
Ready to build a Blueprint?
Choose the reinvention engine for your needs.
For workflows & app design
Reimagine your processes and turn any workflow into a build-ready
application with confidence.
For marketing & CX strategy design
Visualize customer journeys and engagement strategies across all
touchpoints and activate them.
It is Pega's policy to engage, recruit, hire, promote, train, discipline, and compensate in all job classifications, without regard to race, color, sex, religion, national origin, age, disability, sexual orientation, gender identity, veteran status, or any other category protected by law.
https://www.pega.com/about/careers/equal-employment-opportunity
Job Category: Product Engineering
Location: US - Massachusetts - Waltham
Meet Our Team:
Cloud Backing Services builds and evolves the foundational cloud services used across Pega Cloud. Our team focuses on the engineering behind these services: defining supported architectures and configurations, automating provisioning, improving self-service capabilities, and helping teams use cloud backing services safely and efficiently at scale.
For Kafka, we provideplatformengineeringexpertisethat makes the service consistent, scalable, secure, observable, andappropriate fordifferent workload patterns. We partner closely with Cloud Operations, application engineering, security, and infrastructure teams. Routine day-to-day production operations are owned by a dedicated operations team; Cloud Backing Services becomes directly involved when a case requires deeper platformexpertise, non-standard analysis, or a systemic engineering improvement.
We are a globally distributed engineering team that values ownership, curiosity, pragmatic problem solving, automation, knowledge sharing, and continuous improvement.
Picture Yourself at Pega:
You will be one of the engineers shaping how Kafka is delivered and consumed across Pega Cloud. You will work on problems that sit at the intersection of distributed systems, cloud infrastructure, automation, performance, reliability, and cost - from choosing the right service patterns and sizing guidance to investigating difficultbehaviorsthat cannot be solved through standard operational procedures.
You will turn recurring problems into durable engineering solutions: better provisioning, clearer guardrails, stronger diagnostics, improved documentation, and safer platform capabilities. You will also use modern AI-assisted engineering tools as a practical multiplier for investigation, analysis, automation, prototyping, documentation, and knowledge discovery - while applying sound engineering judgement andvalidatingthe results.
What You'll Do at Pega:
+ Design and evolve Kafka-based cloud capabilities offered to engineering teams.
+ Partner with application teams on architecture, sizing, rightsizing, capacity planning, partitioning, storage, retention, replication, and expected workload growth.
+ Perform root-cause analysis and turn difficult or recurring cases into improvements in automation, diagnostics, platform standards, and documentation.
+ Use AI-assisted engineering tools to accelerate log and configuration analysis, hypothesis exploration, code and automation development, documentation, and prototyping - and critically validate generated output.
+ Identify opportunities to apply AI and automation to reduce repetitive work, shorten feedback loops, improve developer experience, and increase engineering leverage.
+ Collaborate with cloud infrastructure, security, platform, and application engineering teams on cross-cutting technical challenges and architectural decisions.
+ Share knowledge, mentor other engineers, and help raise engineering standards across Cloud Backing Services.
Who You Are:
+ You are a systems thinker who enjoys understanding how distributed components interact and where failures, bottlenecks, or hidden constraints can emerge.
+ You take ownership of ambiguous technical problems and can drive them from investigation through design, implementation, and measurable improvement.
+ You collaborate effectively across engineering and operations, communicate clearly, and can explain complex technical trade-offs to different audiences.
+ You are not constrained by organizational hierarchy. When faced with a task, you proactively engage with anyone who can provide relevant context - regardless of their role or seniority - to understand different use cases and identify the best path forward for everyone involved.
+ You are pragmatic: you balance reliability, scalability, performance, complexity, security, and cost rather than optimizing a single dimension in isolation.
+ You naturally look for ways to replace repetitive manual work with automation, self-service capabilities, better tooling, or clearer platform patterns.
+ You are curious about new technologies - including AI-assisted engineering - and know how to experiment quickly while keeping engineering judgement, validation, security, and accountability with the human engineer.
What You've Accomplished:
+ Strong hands-on experience with Apache Kafka in large-scale environments.
+ Solid understanding of Kafka architecture and behavior, including brokers/controllers, topics, partitions, replication, consumer groups, shared groups, offsets, rebalancing, retention, and failure modes.
+ Experience diagnosing complex problems in Kafka or other distributed systems and identifying underlying technical causes.
+ Experience with at least one major public cloud platform, preferably AWS or Google Cloud.
+ Experience with Infrastructure as Code and automated platform delivery, such as Terraform and CI/CD or GitOps workflows.
+ Experience using Go, Python, Java, or another programming/scripting language to build automation, tooling, or platform capabilities.
+ Good understanding of cloud networking, DNS, TLS, identity and access management, and observability concepts relevant to distributed services.
+ Professional experience working with cross-functional engineering teams and communicating effectively in English.
Pega Offers You:
+ Gartner Analyst acclaimed technology leadership across our categories of products
+ Continuous learning and development opportunities
+ An innovative, inclusive, agile, flexible, and fun work environment
+ Competitive global benefits program inclusive ofpay + 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.
#LI-CL1
Job ID: 23962
AI in Action – Responsible Use of AI in Recruitment
Pega embraces the responsible use of artificial intelligence (AI) to improve efficiency, consistency, and fairness across our business. We encourage thoughtful and ethical adoption of AI technologies that support people—not replace them. We may use AI‑enabled tools in our recruitment process. These tools are designed to assist us by providing insights and operational support.
All hiring decisions are made based on human review and judgment. You may have the right to request human review, provide additional information, or raise questions about how such tools are used.
Culture
At Pegasystems, we foster an environment where people feel valued and empowered to contribute their best. With global clients across industries and regions, we know our success depends on the unique perspectives, experiences, and talents of our people. Ours is a workplace where everyone can grow, collaborate, and deliver meaningful outcomes.
We encourage candidates from all backgrounds and experiences and focus on the core competencies and mindset needed to thrive in a role.
As an Equal Opportunity employer, Pegasystems will not discriminate in its employment practices due to an applicant's race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran or disability status, or any other category protected by law.
This same mindset shapes how we work, encouraging curiosity, continuous learning, and smarter ways of working with AI. At Pegasystems, we believe the best ideas come from curious people who embrace change, learn continuously, and use AI to work smarter and move faster. Guided by our values, we bring a growth mindset to every challenge and create lasting impact together.
Export Compliance
For positions requiring access to technical data subject to export control regulations such as this, Pegasystems may need to obtain export license approval from the U.S. Government and EU Authorities for certain individuals.
Accommodations
If you require reasonable accommodations under the Americans with Disabilities Act (US only) or comparable regional regulations in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process,or contact (US only) 1-888-PEGA-NOW and/or 225 Wyman Street Waltham, MA 02451 ATTN: Benefits.
Privacy Notices
Ready to build a Blueprint?
Choose the reinvention engine for your needs.
For workflows & app design
Reimagine your processes and turn any workflow into a build-ready
application with confidence.
For marketing & CX strategy design
Visualize customer journeys and engagement strategies across all
touchpoints and activate them.
It is Pega's policy to engage, recruit, hire, promote, train, discipline, and compensate in all job classifications, without regard to race, color, sex, religion, national origin, age, disability, sexual orientation, gender identity, veteran status, or any other category protected by law.
https://www.pega.com/about/careers/equal-employment-opportunity
Numbers & Facts
| Location | Waltham, MA |
| Industry | Computer/IT Services |
| Salary | $102,400–$153,200 Per Year |
| Company Size | 500 to 999 employees |
| Year Founded | 1971 |
| Website | https://www.pesystems.com/ |
About Company
Since 1971, P E Systems has been providing professional systems engineering and acquisition management services. The firm has CONUS locations in Virginia, Maryland, Massachusetts, Oklahoma and Ohio, and overseas in Japan, Bahrain and Italy. The company provides a range of technical capabilities supporting many different clients. P E Systems practices a full service approach through its use of flexible, mission-oriented teams that bring the right resources together to meet all customer requirements. Our emphasis is on personnel both acquiring and retaining a staff of qualified engineering and technical professionals through selective recruiting and a comprehensive benefits program has contributed to our continued success in supporting a wide range of government organizations.
P E Systems has developed strong core capabilities in systems engineering, specialized acquisition support, and communications interface programs through provision of technical, program management and systems acquisition support as both a prime and subcontractor. We have established strategic relationships with our Partners.
P E Systems has a long history of providing superior technical support services in a cost-effective manner. Our Quality Policy further describes the focus on quality that helps us achieve this level of service.
- 2017 – Summit Research Corporation (SRC) merged into P E Systems on March 1, 2017, assuming all contract obligations
- 2016 – Jack Grady appointed to Vice-President of Operations and Dayton Division Manager
- 2007 – Opened new offices and San Antonio, TX
- 2006 – Graduated from 8(a) program
- 2003 – P E Systems achieves ISO 9001 certification
- 2000 – P E Systems acquired Atlantic Analysis Corporation to enhance IT offerings with Oracle database development capabilities
- 1998 – Acquired Bahan Dennis, Inc. (BDI), which has been integrated into the company operating structure, as the Dayton, OH Division. It provides program management and systems functional support to the Aeronautical Systems Center, AFMC, Material Systems Group (ESC) and the Air Force Reserve Command Detachments at Wright Patterson AFB, OH
- 1997 – Became an 8(a) certified small business and gained approval for a GSA Schedule for Information Technology Services
- 1996 – P E Systems acquired Summit Research Corporation (SRC) as a wholly owned subsidiary specializing in Exercise/Performance/Acoustic Analysis, Training, and Information Technology services, primarily for the U.S. Navy
- 1995 – Wes King acquired P E Systems
- 1971 – P E Systems founded
- 1971 – P E Systems was formed to provide technical, scientific, and programmatic management and systems acquisition support to the Department of Defense as well as other government and commercial organizations
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