Senior DevOps Engineer at GeoComply

Confirmed open

Operate and modernize GeoComply’s high-availability geolocation infrastructure across AWS and GCP, including cloud migration, cost control and incident response.

GeoComply

Location: Ho Chi Minh, Vietnam
Employment: Full-time
Work arrangement: hybrid
Technologies: AWS, GCP, Kubernetes, SQL

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Role overview

Interested in joining our team? Send us your resume and a cover letter. We can’t wait to meet you!

Commitment to Diversity and Equity.

If you don't tick every box in this job description, please don't rule yourself out. Research suggests that women and other people in underrepresented groups tend to only apply if they meet every requirement. We focus on hiring people who value inclusion, collaboration, adaptability, courage, and integrity rather than ticking boxes, so if this resonates with you, please apply.

Search Firm Representatives Please Read Carefully

We do not accept unsolicited assistance from search firms for employment opportunities. All CVs or resumes submitted by search firms to any employee at our company without a valid written agreement in place for this position will be considered the sole property of our company. No fee will be paid if a candidate is hired by GeoComply due to an agency referral where no existing agreement exists with the GeoComply Talent Acquisition Team. Where agency agreements are in place, introductions must be through engagement by the GeoComply Talent Acquisition Team.

Joining the GeoComply team means you’ll be part of an award-winning company to work, learn and grow. We are fast-paced, high-impact, and have a can-do team culture.

To be successful in our organization, you need an eager attitude, professionalism, and the confidence to willingly work to prove yourself and your ideas, and earn the trust of the organization.

Here’s why we think you’d love working with us.

We’re working towards something big

We’ve built a reputation as the global market leader for geolocation compliance solutions for over 10 years. We’re trusted by customers from all over the world, and the next few years will be particularly exciting as we continue to scale across new markets.

Our values aren’t just a buzzword

Our values are the foundation for what we as a company care about most. They signify the commitment we make to each other around how we act and what we stand for. They are our north star as we work together to build a company we’re all proud to be a part of. Learn more, here.

Responsibilities

Cloud Infrastructure & FinOps: Support and maintain our AWS and GCP infrastructure for high availability, identify capability gaps within your scope and propose practical improvements, and treat cost as a first-class design constraint through FinOps practices.
Multi-Cloud Delivery & Migration: Own and deliver workstreams across AWS and GCP, including our AWS to GCP migration using GCP-managed services (e.g. GKE, Cloud SQL, Spanner, Pub/Sub, BigQuery), while continuing to operate the AWS workloads that remain business-critical, with cost, performance, and interoperability front of mind.
Multi-Region Architecture: Implement and operate multi-region infrastructure across AWS and GCP for low-latency traffic management (shadowing, shifting) and disaster recovery, in partnership with development and data teams.
Modernization & System Design: Support the transition from monoliths to microservices and align infrastructure with evolving application needs, promoting automation, scalability, and maintainability.
Security & Compliance: Embed security best practices across the infrastructure (IAM, least privilege, secrets management, network policies, data protection) and ensure compliance with industry standards and internal governance.
Engineering Platform & Operational Excellence: Improve CI/CD, observability (e.g. LGTM stack, GCP Monitoring), SLIs/SLOs, on-call and incident response, and post-mortems that reach systemic root cause; build reusable patterns and self-service tooling that shift DevOps from "Serve" to "Enable."
Knowledge Sharing & Mentorship: Mentor teammates through code and architecture reviews, and support development teams via reusable patterns, documentation, and self-service capabilities rather than by fielding their questions directly.
AI-Assisted Engineering: Leverage GenAI tools and AI agents to accelerate common development and operational work so your time goes to the highest-impact engineering, reviewing and verifying output against production standards for reliability, security, cost, and maintainability, and coach teammates to do the same.

Qualifications

5+ years in DevOps, cloud infrastructure, SRE, or platform engineering, with demonstrated experience taking medium-to-large infrastructure projects.
Strong analytical mindset to define complex problems, evaluate technical trade-offs, and independently navigate ambiguity to drive cross-system solutions to completion.
Production expertise with containerization especially in Kubernetes environment, including deep familiarity with cluster lifecycle management, scaling strategies, resource optimization, and troubleshooting cluster and workload issues.
Proven experience designing modular Infrastructure as Code (e.g. Terraform) and building secure, automated CI/CD pipelines (e.g. GitHub Actions).
Proven track record of architecting and operating production environments on GCP and/or AWS, specifically leveraging managed services (e.g. GKE/EKS, Cloud SQL/RDS, Pub/Sub/SQS). Experience with multi-cloud/multi-region is a plus.
Direct ownership of highly available systems, including on-call, incident response, and post-incident improvement.
Proven experience with pillars of telemetry (metrics, logs, traces) and modern observability stacks (e.g LGTM stack, Datadog). Practical experience with SRE concepts and managing cardinality, retention, and cost at scale.
Familiar and hands-on practice using AI coding assistants and agentic tools (e.g. Claude Code, OpenCode) on real DevOps work (IaC, debugging, incident triage, post-mortems).
Communication: Professional working proficiency in English, written and verbal. Must be able to explain technical decisions clearly in English, in writing, in design documents, and in live discussion.
Experience operating Service Mesh solutions (e.g. Istio, Linkerd) in complex microservices environments. Proven track record of tracing packet flow and optimizing end-to-end latency across multi-cluster, multi-region network topologies and cloud-managed service boundaries.
ML Infrastructure Engineering: Hands-on experience architecting and operating production ML platforms.
☘ Hybrid working mode & Modern office at a prime location in District 1
☘ Professional development budget to support your growth
☘ 20 annual leave days, 5 sick leave days
☘ Premium health insurance (Bao Viet or Liberty)
☘ Social, unemployment, and health insurance contributions based on full salary

Technology in this role

AWS: Cloud Infrastructure & FinOps: Support and maintain our AWS and GCP infrastructure for high availability, identify capability gaps within your scope and propose practical improvements, and treat cost as a first-class design constraint through FinOps .
GCP: Cloud Infrastructure & FinOps: Support and maintain our AWS and GCP infrastructure for high availability, identify capability gaps within your scope and propose practical improvements, and treat cost as a first-class design constraint through FinOps .
Kubernetes: Production expertise with containerization especially in Kubernetes environment, including deep familiarity with cluster lifecycle management, scaling strategies, resource optimization, and troubleshooting cluster and workload .
SQL: GKE, Cloud SQL, Spanner, Pub/Sub, BigQuery), while continuing to operate the AWS workloads that remain business-critical, with cost, performance, and interoperability front of .
Terraform: Terraform) and building secure, automated CI/CD pipelines .
GitHub Actions: Listed by the employer as part of the role’s technical requirements.
CI/CD: Engineering Platform & Operational Excellence: Improve CI/CD, observability .
CAN: We can’t wait to meet you! Commitment to Diversity and .
BigQuery: GKE, Cloud SQL, Spanner, Pub/Sub, BigQuery), while continuing to operate the AWS workloads that remain business-critical, with cost, performance, and interoperability front of .
Istio: Istio, Linkerd) in complex microservices .
Datadog: Proven experience with pillars of telemetry (metrics, logs, traces) and modern observability stacks (e.g LGTM stack, .

Benefits

The posting lists 20 annual-leave days, five sick-leave days, premium health insurance, full probation salary and performance-related bonuses.
GeoComply describes a hybrid schedule with three office days per week, a development budget and annual performance reviews.