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Pegasystems

Senior Cloud Operations Engineer, Deployments

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Job Description

Senior Cloud Operations Engineer, Deployments Job Category:
Engineering & Cloud Location:

US

  • Massachusetts
  • Waltham | US
  • Virginia
  • Sterling
  • Meet Our Team:
  • As a member of Cloud Operations team, you will be a key member responsible for the reliability and availability of Pegasystems cloud service offerings.

We operate as a global follow the sun 24x7 team with locations in Bangalore, Sydney, and the East Coast of the United States. We encourage a culture of diversity, openness, intellectual curiosity, problem solving, and consistently strive to create an environment that provides the support and mentorship needed to learn and grow.

  • _Due to contractual obligations with the US Government and FedRamp, US Citizenship is required_
  • _
Shift Description:

_

  • The standard work week will be five days per week, Monday-Friday. Shift hours are fixed and do not rotate day-to-day, rather on a monthly or quarterly basis (shifts of 8am-4pm or 3pm-12am.) This approach allows for stability in scheduling while ensuring coverage across our global teams.
  • Picture Yourself at
Pega:
  • You will have the opportunity to work on diverse problems and apply your expertise and experience to improve reliability of Pega Cloud Platform.

You will take personal ownership of the systems you manage and possess the tenacity to delve to the root of the problem quickly, understand why it happened, and prevent it from recurring. By collaborating and communicating with customers and internal stake holders, you will deliver best in class support.

  • What You'll Do at
Pega:
  • + Perform provisioning of new environments and upgrade of the infrastructure components and product application + Perform decommission of existing environments + Troubleshoot and resolve customers environment issues along with root cause analysis + Create and maintain operational runbooks + Identify and document Standard operating procedures for daily tasks + Participate in testing of pre-release product enhancement testing with engineering + Identify opportunities for automation of repeated tasks and reduce toil + Write scripts to automate repetitive tasks + Work with team on scheduling upgrade tasks / hotfixes and patches + Manage / execute deployment of system updates / patches and hotfixes + Monitor the teams ticket queue and work with team to distribute tickets in timely manner + Monitor teams email distribution list for escalation / communication + Prepare handoff documentation to work with other global teams + Willing to be on-call to support customers on a rotational basis •
Who You Are:
  • + Proven professional and technical experience in an enterprise cloud environment supporting SaaS applications with a focus on operational delivery excellence and customer service + You are self-motivated, inquisitive, and creative, with a passion for continuous improvement and excellent people skills + Works well with cross-functional global and remote teams + Demonstrated ability to learn new technologies, techniques, and tools quickly to meet our business requirements + Comfortable working in a fast-paced, enterprise environment + Possess customer obsession and proven empathy towards customers •
What You've Accomplished:
  • + 5+ years of hands-on cloud operational or engineering experience + Current, direct experience deploying and managing applications on Kubernetes in a production environment + 5+ years of experience with enterprise scale Linux Administration + Hands-on operational experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP) + Deep understanding of cloud-based infrastructure, platform, and application operational administration•including product and platform upgrades, installations, backup, and recovery, monitoring and observability, etc.

+ Experience with microservices architecture with Kubernetes is a plus

+ Basic network troubleshooting skills including

TCP/IP, DNS, VPN

is a plus

+ Experience in Bash/Shell, Python, or similar scripting languages to automate common tasks, a plus

+ Bachelor's degree in Computer Science/Engineering or equivalent

+ AWS / GCP Certification, a plus

+ Certified Kubernetes Administrator, a plus

  • 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 of pay + bonus incentive, employee equity in the company\#LI-KH2
  • 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.

Job ID:

24091

  • 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
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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

Benefits

  • Bonuses/Stipends
  • Dental Insurance