DevSecOps & Platform Engineer
Indexed description
How You'll Make an Impact
The SRE team operates the backbone of a multi-cloud, AI-driven fintech platform — running Kubernetes clusters, CI/CD pipelines, cloud infrastructure, and security tooling across GCP, AWS, and Azure at real production scale. As a DevSecOps & Platform Engineer, you own significant slices of the security, platform, and automation layers that development and AI/ML teams depend on every day. You operate independently on well-scoped problems, take end-to-end ownership of your domains, and are trusted to design and ship changes to production systems.
What You'll Do
Security & DevSecOps Operations
- Own security tooling end-to-end: design, deploy, configure, and validate WAF rules, GitHub Advanced Security scans, and CI/CD security gates — verifying they catch what they’re meant to catch, then tuning them to reduce noise.
- Drive vulnerability management across applications, infrastructure, and containers; triage CVEs by real risk, track them to closure, and improve the process so nothing slips.
- Build and maintain log collection and normalization from multiple sources (applications, infrastructure, security tools) and design alerting for SOC/SRE/DevSecOps..
- Operate and improve Kubernetes workloads: deploy applications, diagnose pod and service issues, and go beyond the runbook — extending and authoring runbooks as you resolve novel failures.
- Design and maintain Infrastructure as Code (Terraform) for real cloud resources across AWS, GCP, and Azure, holding DevSecOps/SRE standards as the baseline and raising it where it’s weak.
- Support and harden the AI Platform: ensure the resources, tooling, and environments AI/ML teams need for experiments, training, and inference are provisioned, secure, and reliable.
- Build and own automation in Python, Golang, TypeScript, or Bash that removes manual work across provisioning, health checks, security checks, billing data collection, and asset inventory — owning the outcome, not just the code.
- Improve CI/CD pipelines on GitHub Actions: add and maintain lint, SAST, and dependency-scan stages, ensuring the gates actually block bad changes rather than merely running.
- Own monitoring for your systems through Prometheus, Grafana, and Datadog; act on alerts, surface patterns, and cut false positives.
- Take a defined role in incident response: drive log/data collection, write accurate timelines, contribute to root-cause analysis, and update runbooks so the team learns from every event.
Experience & Background
- 2+ years of hands-on experience in Cloud (AWS, GCP, or Azure), DevOps, SRE, Security, or Automation — or equivalent depth demonstrated through substantial personal projects and open-source contributions.
- Degree in Computer Science, Information Technology, Computer Engineering, Cybersecurity, or a related field, or equivalent practical experience.
- You use AI tools actively — crafting clear prompts, evaluating outputs critically, and applying AI to move faster and cover more ground across security analysis, script generation, and documentation.
- You take initiative without being directed: when you identify a gap in a pipeline, a missing alert, or an undocumented process, you raise it and propose a fix rather than waiting for someone to assign it.
- You connect knowledge across domains — security principles, infrastructure thinking, and scripting fluency work together in how you approach a problem, not in separate silos.
- You invest in your own growth as a daily practice: you read documentation to answer your own questions first, test in sandboxes before asking, and bring what you learn back into the work.
- You communicate with precision and awareness of downstream impact — in runbooks, incident notes, and async channels where clarity is not optional.
- Domain Expert — Builds repeatable, documented processes for security and platform tasks; doesn't leave a task "done" if the next person couldn't reproduce it.
- AI Operator — Monitors the quality of configurations, scripts, and pipelines under their ownership; catches drift early rather than waiting for an alert to fire.
- Platform Guardian — Treats guardrails and audit trails as part of the deliverable, not an afterthought; security checks go into the pipeline before deployment.
- Linux command line proficiency: SSH, filesystem, basic networking commands.
- Containerization: Docker (build, run, optimize images; docker-compose is a plus).
- Basic scripting in at least one language: Python, Golang, or TypeScript/JavaScript (Bash is a plus).
- Basic understanding of at least one cloud platform: AWS, GCP, or Azure.
- Familiarity with Kubernetes (pods, deployments, services), CI/CD tools (GitHub Actions, GitLab CI), and Git workflows is a plus; Terraform or SAST/DAST tool experience is an advantage.
- Strong English communication skills (spoken and written — professional fluency required).
- High adaptability and comfort operating in fast-paced, ambiguous environments.
- Opportunity to work and learn from one of the best and brightest technology teams in Vietnam
- Be part of a winning team with exponential growth regionally, experience recruiting world-class talents
- Competitive compensation package, including 13th-month salary and performance bonuses
- Comprehensive health care coverage for you and your dependents
- Generous leave policies, including annual leave, sick leave, and flexible work hours
- Convenient central district 1 office location, next to a future metro station
- On-site lunch with multiple options, including vegetarian
- Grab for work allowance and fully equipped workstations
- Fun and engaging team-building activities, sponsored sports clubs, and happy hour every Thursday
- Unlimited free coffee, tea, snacks, and fruit to keep you energized
- An opportunity to make a social impact by helping to democratize credit access in emerging markets
Learn More About Us
https://trustingsocial.com
https://www.youtube.com/watch?v=inAEDGvOcL8&t=29s
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