Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Mid-level DevOps Engineer (Remote) – Brazil
- Remote from
- Brazil
- Salary
- Undisclosed
- Department
- DevOps & Infrastructure
- Employment
- Contract
- Experience
- Midweight
- Published
- Apply before
- 10 Dec 2026
- Listing views
- 30
- Application actions
- 0
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About this role.
The role:
AlphaSights‘ Platform Engineers work hard to make sure we’re performant, highly available and resilient to failures. As a DevOps Engineer, you will be responsible for planning, building and maintaining our core AWS infrastructure and our CI/CD pipelines and toolset.
We’re looking for people who are interested in designing and executing solutions to a very high standard, comfortable working across multiple technologies, and learn quickly when new ones are introduced. We care more about your engineering skill versus your deep knowledge of a particular tool, provider or technology.
What you’ll do:
- Create solutions that enable our engineering teams to deploy code quickly, reliably and securely
- Ensure the availability, scalability, performance and security of our cloud infrastructure
- Diagnose and troubleshoot application and infrastructure related issues quickly and effectively
- Provision cloud resources based on capacity, computing and security requirements
- Always have best security practices top of mind, employing zero trust and principle of least privilege across all critical systems and resources
- Work in tandem with development teams to manage and execute DevOps and Infrastructure initiatives
- Regularly evaluate and research alternative solutions to improve internal DevOps processes
- Continuously evaluate and refine the monitoring of our critical infrastructure and applications
Who you are:
- You probably have a degree in a STEM subject, but we’re happy to work with people who perfected their craft via a different route.
- 3+ years experience in demonstrating competency and positive results in a DevOps, SRE or Infrastructure Engineering role.
- 3+ years experience managing and demonstrating competency with AWS infrastructure, including EKS, RDS, S3, and others as well as professional experience with CI/CD tooling and concepts.
- Experience working at a similar level in an Engineering team, and looking to take your career to the next level. We’re looking for people who have incredible potential.
- Proven track record – You’ve made a demonstrable impact in your previous roles, standing out from your peers.
- Highly driven and proactive – you relentlessly and independently push through hurdles and drive towards excellent outcomes.
- Meticulous – you hold high standards and have an obsessive attention to detail.
Learn more about our tech organisation here.
Don’t worry if your experience or background doesn’t match all of these areas, we believe a broad spectrum of experience provides great perspective on solving problems in new and innovative ways and we’d love to hear from you.
AlphaSights is an equal opportunity employer.
*THIS IS A REMOTE POSITION EXCLUSIVELY FOR CURRENT BRAZILIAN RESIDENTS.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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Sample interview questions
I would use version-controlled pipeline definitions, automated tests, image scanning, and immutable container images stored in a trusted registry. Deployments would use controlled promotion between environments, least-privilege IAM roles, secrets management, deployment health checks, and a rollback strategy such as canary or blue-green releases.
I would first assess user impact and review dashboards for latency, error rate, saturation, and recent deployment changes. I would correlate application logs, distributed traces, EKS metrics, database performance, load-balancer behavior, and network indicators, then mitigate the immediate issue and document the root cause and preventive actions.
I would define narrowly scoped IAM roles by workload and environment, avoid long-lived credentials, use role assumption and short-lived tokens, and regularly review access through logs and access-analysis tools. I would also separate duties, enforce MFA for human access, and automate policy validation in infrastructure delivery workflows.
I start with workload resource requests, historical utilization, traffic patterns, and service-level objectives. I configure appropriate pod and node autoscaling, set sensible limits, test expected peaks, and monitor CPU, memory, queue depth, latency, and cluster headroom to identify scaling risks before they affect users.
I would assess the current delivery path and operational pain points with engineering teams, then prioritize an improvement with measurable impact, such as standardized pipeline templates, stronger deployment observability, or automated infrastructure checks. I would pilot the change with one service, collect feedback and metrics, and iterate before scaling it across teams.
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