“Remote DevOps Engineer Job in India | Flexiple Full-Time Opportunity”

November 3, 2025
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Job Description

“Remote DevOps Engineer Job in India | Flexiple Full-Time Opportunity”

Teragonia, a leader in tech-enabled value creation solutions, is on a mission to create an ecosystem of connected data and actionable intelligence that solves strategic business challenges with purposeful innovation that is secure, quick, and scalable. The company translates value creation strategies into analytics and AI assets that operationalize business insights, leading to higher multiples of invested capital for company founders, investors, and private equity firms

.Teragonia’s Decision Intelligence Solution contains three pillars including Business Operations Solutions, the Astradis co-developable analytics and AI platform, and Customer Success for analytics operationalization throughout an enterprise. Together, they empower Teragonia’s clients with data-driven business intelligence recommendations that drive decision making through a robust AI-driven technology

.Teragonia solutions are custom created by its team of technologists, data scientists, and business experts with first-hand private equity experience as investors, management teams, and M&A advisors

.
Job Roles & Responsibiliti

es
As a Senior DevOps Engineer at Teragonia, you will design, implement, and manage scalable, reliable, and high-performing infrastructure for our analytics and AI platforms. You will collaborate with engineering teams to optimize workflows, automate deployment processes, monitor system performance, and ensure the seamless operation of enterprise-grade systems. Your contributions will directly impact the robustness, efficiency, and scalability of Teragonia’s technology solutio

ns.
About the

role
We are seeking an experienced Senior DevOps Engineer to join our team. You will manage Kubernetes environments, automate infrastructure tasks, collaborate with backend developers, and ensure system reliability and scalability. This role demands proactive problem-solving, a deep understanding of cloud infrastructure and DevOps best practices, and a passion for optimizing engineering workf

lows.
Ideal candidate p

rofile
Key responsib

ilities
Manage Kubernetes clusters to ensure high availability, scalability, and optimal perf
ormance.Automate infrastructure provisioning, deployment, and monitoring pr
ocesses.Collaborate with backend developers to design and implement robust system archit
ectures.Optimize operational workflows to increase system reliability and reduce d
owntime.Monitor system performance metrics to proactively address issues and escalate to relevan
t teams.Develop scripts and tools for efficient system maintenance, troubleshooting, and aut
omation.Participate in architecture reviews and recommend improvements for infrastructure and DevOps pr
actices.Mentor junior engineers and promote DevOps best practices acros

s teams.
Quali

fications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a rela
ted field.Proven experience with Kubernetes, Docker, and container orchestration in production env
ironments.Strong experience with infrastructure automation tools such as Terraform, Ansible, o
r similar.Proficiency in scripting languages (Python, Bash, or Go) for automation and system m
anagement.Hands-on experience with CI/CD pipelines and monitoring tools (Jenkins, GitLab CI, Prometheus,
Grafana).Solid understanding of cloud platforms (AWS, GCP, Azure) and cloud-native arch
itectures.Excellent problem-solving and troubleshooting skills in complex system env
ironments.Ability to work in a fast-paced, dynamic environment and drive immedia

te impact.
Wh

at we offer
Opportunity to work on cutting-edge AI and analytics platforms for enterpr
ise clients.Collaborative and innovative work environment with growth and learning op
portunities.Competitive salary and benef
its package.Exposure to high-impact projects in private equity, M&A, and enterpris
e analytics.Be part of a mission-driven company delivering intelligent, data-driven solutio

ns at scale.… more

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