[Job-32122] SRE - Senior DevOps Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 11h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 10d ago
The date the source published, not the day we noticed it (2026-10-22). Last seen at its source 3h ago.
We have tracked this listing since 22 Oct 2026 (10 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $6,125–7,250/mo
Middle 50% of 12 listings that do state pay — Engineering · Senior · Brazil · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Lever employer's own board first seen 10d ago · last seen 3h ago
The listing
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
Responsibilities
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Own the day-to-day operation of our Datadog platform, including dashboards, monitors, log pipelines, APM, synthetic tests, and Real User Monitoring, keeping coverage accurate as our services evolve.
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Proactively sift through Datadog logs, error tracking, traces, and metrics to find failures, regressions, and anomalies that have not triggered an alert, then triage, reproduce, and drive them to resolution with the owning team.
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Tune alert thresholds, monitor logic, and notification routing to cut noise and false positives, so real customer-impacting issues page the right people fast.
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Define, measure, and report on service level indicators and objectives for key customer-facing services.
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Collaborate with engineering teams on the monitoring, logging, and tracing setup their services need, and implement the configuration changes required.
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Write post-incident reviews, track follow-up actions to completion, and feed lessons back into monitors, runbooks, and processes.
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Improve the reliability, scalability, and cost efficiency of our cloud infrastructure, CI/CD pipelines, and release processes, automating repetitive operational work where it makes sense.
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Maintain runbooks, escalation paths, and operational documentation so the team can respond quickly and consistently.
- Work with client´s enterprise InfoSec team to implement the configuration changes needed to close security findings, including SSL/TLS cleanup, removal of exposed technology and version banners, security headers (HSTS, CSP, X-Frame-Options), and DNS hygiene (DNSSEC, SPF/DKIM/DMARC, dangling records), tracking each item through to verified closure.
What We're Looking For:
Bonus Points:
- Experience with Kubernetes or other container orchestration platforms.
- Exposure to Datadog-specific features such as Watchdog, Error Tracking, Continuous Profiler, SLO management, Workflow Automation, or the Datadog API and Terraform provider.
- Experience managing observability costs, including log indexing strategies, custom metric hygiene, and retention policies.
- Familiarity with application security practices and compliance requirements in a regulated industry such as insurance or financial services.
- Experience with chaos engineering, load testing, or capacity planning.