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66degrees is seeking a Site Reliability Engineer to join our data management and engineering projects within GCP environments. You will migrate, analyze, and manage data structures, work with the GCP Security Team, and ensure datastores are protected. 4+ years of relevant experience and strong automation skills are required.
Responsibilities include building monitoring, creating scalable systems, and collaborating with clients and Google engineers to resolve complex infrastructure issues.
66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential. At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
66degrees is looking for smart, energetic, and personable technology business professionals for a Site Reliability Engineer position. We are looking for someone with a broad range of skill sets with 4+ years of relevant experience. As a Site Reliability Engineer you will be a part of data management and engineering projects within GCP environments, including migrating, analyzing, and managing data structures within GCP. Assist in the design, definition, development, and testing of GCP data solution components. Capable of quickly adapting and building plans around migrating data from legacy applications. Work closely with the GCP Security Team and other SME roles to ensure datastores are protected. Liaise between clients and developers to ensure that all data requirements are met.
Experience: Minimum 3+ years of cloud and infrastructure experience, featuring demonstrated expertise with Linux, Windows, Kubernetes (k8s), databases, and networking services. Cloud Expertise: 2+ years of dedicated Google Cloud Platform (GCP) experience is highly preferred. Additional full-time experience with AWS and/or Azure is a strong plus. Relevant cloud certifications are preferred. Automation & Provisioning: Strong proficiency with Python is required (other programming languages are a plus). Proven hands-on infrastructure provisioning and configuration experience using Terraform. SRE Principles: Strong background in determining and negotiating Error budgets, SLIs, SLOs, and SLAs. Proven experience balancing service reliability metrics against operational toil. Methodologies & Tools: Experience working within Agile Scrum and Kanban frameworks inside the SDLC. Familiarity with 24x7x365 monitoring, incident response, and troubleshooting across systems, networks, and code. Communication: Exceptional written and verbal communication skills, with a proven track record in heavily customer-facing environments. Education: Bachelor’s degree in Computer Science, Electrical Engineering, or an equivalent technical field. Shift Flexibility: Ability to work designated shift hours on weekdays during UK business hours.
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
AI Transparency & Disclosure As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights. These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.