As an individual contributor on our distributed team, you'll independently identify opportunities to improve reliability, scalability, security, cost efficiency, developer experience, and operational effectiveness. You'll own initiatives from problem discovery and architecture through implementation, rollout, measurement, documentation, and ongoing improvement. You'll make sound technical decisions with minimal direction, even when problems are ambiguous or established solutions don't exist.
This is not a role focused solely on responding to tickets or keeping existing infrastructure running. We expect our Senior DevOps Engineers to understand where operational friction exists, identify recurring problems that should be engineered away, challenge unnecessary complexity, and proactively improve how TechnologyAdvice builds and operates software.
AI-assisted engineering is an expected part of how we work. You'll use modern AI tools to accelerate infrastructure development, troubleshooting, automation, documentation, incident investigation, and operational analysis while applying the systems judgment necessary to evaluate technical correctness, security, and operational risks before they affect production.
Success in this role isn't measured by the number of infrastructure tickets completed or alerts resolved. It's measured by improvements in system reliability, engineering velocity, operational efficiency, security, cost effectiveness, and your ability to independently identify and deliver high-value platform improvements.
Employment Level: Pro 4 - Senior
Employment Type: Contract
Location: India (Remote)
Working hours: 1:30 PM to 10:30 PM IST
What you'll do
Own and continuously improve the cloud infrastructure and platform capabilities that support TechnologyAdvice's applications, data systems, and engineering teams.
Independently identify opportunities to improve system reliability, scalability, security, performance, cost efficiency, developer experience, and operational effectiveness.
Design, build, and maintain secure, scalable cloud infrastructure using modern infrastructure-as-code and cloud-native engineering practices.
Engineer away repetitive operational work by building automation, self-service capabilities, reusable infrastructure patterns, and platform tooling.
Improve Kubernetes and container-based infrastructure to make application deployment, scaling, recovery, and operations increasingly standardized and reliable.
Own and evolve CI/CD and GitOps workflows that allow engineers to ship changes quickly, consistently, and safely.
Partner directly with Software Engineers, Product Engineers, Analytics Engineers, and other Technology teams to understand operational friction and build platform solutions that increase engineering leverage.
Improve observability across applications and infrastructure through effective monitoring, logging, tracing, alerting, dashboards, and actionable service health indicators.
Lead technical investigations during complex production incidents, diagnose root causes across interconnected systems, restore services safely, and implement preventive improvements.
Continuously identify opportunities to improve resilience, disaster recovery, backup strategies, security controls, access management, and infrastructure risk.
Evaluate cloud infrastructure and architecture for cost efficiency and proactively identify opportunities to reduce unnecessary spend without compromising reliability or engineering effectiveness.
Apply AI-assisted engineering practices to accelerate infrastructure development, troubleshooting, root-cause analysis, automation, documentation, and operational workflows while maintaining rigorous standards for production safety.
Contribute to architectural decisions and long-term platform strategy, balancing immediate business needs with reliability, security, scalability, simplicity, and maintainability.
Define, document, and champion engineering standards, operational practices, reusable patterns, and platform capabilities that improve how TechnologyAdvice Engineering operates.
Mentor other engineers and help raise the organization's standards for infrastructure ownership, automation, reliability, and operational excellence.
Who you are
Ownership & Engineering Impact
Demonstrated ability to independently identify infrastructure and operational problems, determine their root causes, design solutions, and drive improvements through implementation and measurable results.
Proven track record of owning business-critical production infrastructure and complex platform initiatives with minimal oversight, including responsibility for major technical decisions and production outcomes.
Strong bias toward eliminating recurring operational work through automation, platform improvements, and systemic fixes rather than repeated manual intervention.
Strong judgment in balancing reliability, security, engineering velocity, cost, complexity, and business needs when making infrastructure decisions.
Demonstrated ability to improve the effectiveness of other engineers through better platforms, tooling, automation, documentation, and self-service capabilities.
Ability to operate effectively during production incidents while maintaining clear communication, disciplined investigation, and ownership through resolution and follow-up.
AI-Native DevOps Engineering
Demonstrated ability to effectively leverage AI-assisted engineering tools to improve infrastructure development, troubleshooting, automation, documentation, incident analysis, and engineering productivity.
Strong systems and architectural judgment to critically evaluate AI-generated infrastructure, scripts, configurations, troubleshooting recommendations, and operational changes before applying them to production environments.
Curiosity about emerging AI capabilities and how they can improve infrastructure operations, observability, incident response, developer experience, and engineering leverage.
DevOps & Platform Engineering Excellence
Deep experience designing, operating, troubleshooting, and improving highly available production systems in cloud environments.
Strong experience with Kubernetes, containerization, and modern cloud-native infrastructure, including troubleshooting production issues involving workloads, nodes, networking, and resource constraints.
Strong experience designing and managing infrastructure through Infrastructure as Code using Terraform, OpenTofu, or similar technologies.
Strong understanding of CI/CD, GitOps, automated deployment practices, and modern software delivery workflows.
Demonstrated experience improving production observability through monitoring, logging, tracing, alerting, and incident-management practices.
Strong understanding of reliability engineering, including failure modes, resilience, capacity, recovery, and operational risk.
Experience implementing secure infrastructure patterns, access controls, secrets management, system hardening, and other cloud security practices.
Strong Linux and systems troubleshooting skills with the ability to diagnose complex problems across applications, containers, networks, infrastructure, and cloud services.
Technology Stack
Our environment includes AWS, Cloudflare, Kubernetes/EKS, Docker, Terraform/OpenTofu, GitHub Actions, ArgoCD, Datadog, Linux, Python/Bash, networking and application-delivery technologies (DNS, CDN/WAF, load balancing, TLS), and data systems such as MySQL, Redis, and Redshift.
Exact experience with every tool isn't required. We prioritize production ownership, engineering fundamentals, systems judgment, and the ability to learn unfamiliar technologies.
Collaboration & Communication
Strong communication skills with the ability to explain infrastructure risks, incidents, architectural decisions, and technical trade-offs clearly to both technical and non-technical stakeholders.
Demonstrated ability to collaborate effectively with Software Engineering, Analytics Engineering, Product, Security, and other teams while maintaining clear ownership of platform outcomes.
Self-driven, highly autonomous, and comfortable operating in a remote-first environment while managing competing priorities and consistently delivering results.
Ability to challenge existing approaches constructively, influence technical direction, and advocate for improvements based on business impact rather than technology preference.
Demonstrated ability to mentor engineers, share knowledge, and raise engineering standards across a team.
Our DevOps Engineering Philosophy at TechnologyAdvice
We engineer away toil — Repetitive operational work is a signal that something can be improved. We automate recurring tasks, build reusable capabilities, and continuously reduce the amount of manual intervention required to operate our systems.
We own reliability — Reliability isn't someone else's responsibility, and incident resolution isn't complete when the alert stops. We understand root causes, improve the system, and reduce the likelihood and impact of future failures.
We build platforms, not bottlenecks — DevOps should make engineers more capable, not create another queue they have to wait in. We invest in self-service capabilities, reusable patterns, automation, and guardrails that allow teams to move quickly and safely.
We embrace AI — We expect thoughtful use of AI-powered tools to accelerate infrastructure development, troubleshooting, automation, documentation, incident analysis, and operational work while maintaining rigorous standards for security, reliability, and production safety.
We automate with judgment — Automation isn't valuable simply because something can be automated. We prioritize the problems where automation creates meaningful improvements in reliability, engineering velocity, cost, or operational efficiency.
We optimize for outcomes — We measure success by healthier systems and more effective engineering teams—not infrastructure tickets completed. Reliability, deployment speed, recovery time, operational toil, security, cost, and developer experience are all outcomes we can improve.
We design for failure — Production systems will eventually fail. We build observable, resilient systems with appropriate redundancy, recovery strategies, backups, and operational practices so failures are detected quickly and have limited impact.
We continuously improve — Infrastructure is never finished. We challenge unnecessary complexity, modernize systems thoughtfully, reduce technical debt, evaluate emerging capabilities, and leave the platform better than we found it.
#LI-Remote
Please note that, as this is a contract position, no perks or benefits are included with this role.
Work authorization
Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in India at hire and must maintain authorization to work in India throughout their employment with our company.
Salary Range We seek to hire top-tier individuals and intend for our compensation to be at a rate that allows us to recruit and retain individuals who align with our core values, purpose, mission, and vision. Final total compensation is based on a multitude of factors including, but not limited to, skill level, relevant experience to the position, and cost of labor.
Hourly pay range
₹1,500—₹2,000 INR
EOE statement
We believe that our differences make us stronger, and thus foster a diverse and inclusive culture where people feel safe being themselves. TechnologyAdvice is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.
Pre-employment screening required.
TechnologyAdvice does not engage with external staffing agencies. Any candidates introduced by such firms will not be eligible for compensation. TechnologyAdvice communicates only through @technologyadvice.com emails and official recruiting platforms. We never recruit via Teams, WhatsApp, or similar apps, and we will never request money, gift cards, or personal financial details during hiring.
Any AI-generated or incomplete application answers will be auto-rejected.
