Senior DevOps Engineer (Contract)

The opportunity

We're seeking a Senior DevOps Engineer who views infrastructure as a product and operational excellence as an engineering discipline. You'll help own and continuously evolve the cloud platforms, deployment systems, observability, automation, and infrastructure that enable TechnologyAdvice engineers to deliver reliable software quickly and safely.

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.

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 validate solutions 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.

The best candidates are naturally curious, highly autonomous, calm during incidents, and dissatisfied with solving the same operational problem twice. They enjoy understanding complex systems, eliminating repetitive work, and creating platforms that allow other engineers to move faster with confidence.

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 investigation during complex production incidents, drive issues through resolution, and ensure meaningful incidents result in systemic improvements rather than temporary fixes.
• 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.
• 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.
• Ability to use AI to accelerate investigation and implementation without outsourcing responsibility for security, reliability, correctness, or production outcomes.
• 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.
• 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.

Technical Expertise

• Strong experience operating production workloads in AWS or a comparable cloud platform.
• Strong experience with Kubernetes and container technologies such as Docker.
• Strong experience with Infrastructure as Code and automated configuration management.
• Experience building and maintaining CI/CD and GitOps workflows using technologies such as GitHub Actions, ArgoCD, or similar platforms.
• Experience with observability and monitoring platforms such as Datadog or similar technologies.
• Strong scripting or programming ability using Python, Bash, or another appropriate language for infrastructure automation and tooling.
• Working knowledge of networking, DNS, CDN/WAF technologies, load balancing, TLS, and modern application-delivery architecture.
• Experience supporting data stores and stateful systems such as MySQL, Redis, Redshift, or similar 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.