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    Job · 11371742

    PUNE · FULLTIME

    Site Reliability Engineer (GCP DevOps)

    66degrees logo

    66degrees

    Pune · onsite · Posted 69d ago

    Sourced fromNaukri
    Undisclosed3–7 yrsfulltimePune

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    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.
    Overview of Role
    66degrees is looking for smart, energetic, and personable technology business professionals for a Data Engineer position. We are looking for someone with a broad range of skill sets with 4+ years of relevant experience.
    As a Cloud Data 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.
    Responsibilities
    • System Reliability & Automation: Ensure near-zero downtime by building monitoring, alerting, and self-healing automation. Create automated, available, and scalable systems using modern software and infrastructure principles.
    • Architecture & Documentation: Deliver comprehensive Cloud Architecture reviews, technical network diagrams, and thorough system documentation for internal tools.
    • Process Standardization: Actively aiming to eliminate operational toil and reduce manual administrative effort.
    • Client Operations & DevOps Advisory: Advise clients on deployment pipelines, high availability (HA), service reliability and best practices..
    • Cross-Functional Collaboration: Partner closely with clients, internal engineering, and Google engineers to rapidly investigate and resolve complex infrastructure issues.
    Qualifications
    • 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.
    Please note, we cannot sponsor or transfer any visas, of any kind, at this time.
    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.


    Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

    Sourced from naukri

    Section · 02

    Skills

    AutomationAgileData EngineerCraftcloud certificationsCatalystamazon web servicesCloud Dataautonomous systemsClient OperationscloudAI ToolsCommunication SkillsArchitectureMicrosoft AzureCloud ArchitectureArtificial Intelligence

    Section · Company

    About 66degrees

    66degrees logo

    66degrees

    IT Services & Consulting

    501-1000

    employees

    Bangalore / Bengaluru, Karnataka

    India

    ₹21.5L PA avg

    Avg at 66degrees

    About

    66degrees is a consulting firm focusing on AI and cloud technology, transforming business challenges into innovative solutions for major global brands.

    Industries

    IT Services & Consulting

    Employee ratings

    10 reviews

    2.9/ 5

    Culture

    2.2

    Career growth

    2.4

    Work-life

    2.6

    Employees rate it well for

    Compensation & Benefits33Work-Life Balance33

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