Senior DevOps Engineer, Infrastructure Job at Airwallex (Singapore)

Senior DevOps Engineer, Cloud Infrastructure

The Senior DevOps Engineer, Cloud Infrastructure, leads a team dedicated to deve...

Location

United States , Atlanta

Salary:

Not provided

SiriusXM

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field, or an equivalent combination of education and experience
5 years in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles
3+ years of experience with AWS services (EC2, S3, ELB, VPC, IAM) or equivalent cloud environments, with a strong understanding of AWS best practices
3+ years of experience running Linux-based production systems, with in-depth knowledge of Linux operating systems
Hands-on experience managing, deploying, and troubleshooting Kubernetes clusters
Proficiency in Bash, Python, or other scripting languages, used for automation and infrastructure management
Expertise with tools like Ansible, Terraform, or CloudFormation to deploy and manage infrastructure at scale
Experience with monitoring technologies such as Grafana, Prometheus, AlertManager, to maintain visibility into system health
Proficiency in Git and experience with platforms like GitLab or GitHub for collaborative code management
Curiosity and Initiative: You’re curious, unafraid to ask “why,” and proactive in exploring solutions and innovative ideas

Job Responsibility

Infrastructure as Code: Design and implement infrastructure as code to build and deploy cloud solutions effectively
Full-Service Lifecycle Management: Improve service life cycles, from design through deployment, operation, and refinement, focusing on reliability and scalability
Monitor and Maintain Services: Ensure live services run smoothly by measuring and monitoring availability, latency, and overall system health, proactively identifying areas for improvement
Scale with Automation: Scale systems sustainably through automation and push for enhancements that improve reliability, performance, and operational efficiency
Optimize Infrastructure Costs: Drive initiatives to optimize infrastructure for cost-effectiveness without compromising performance or security
Incident Response and Postmortems: Lead sustainable incident response efforts and conduct blameless postmortems to ensure continuous improvement and resilience
Tool Selection and Evaluation: Have opinions on and experience with orchestration tools such as GitLab and ArgoCD, guiding best practices for the team
AWS Expertise: Leverage and enhance Amazon Cloud environments to support current and future infrastructure needs, staying informed on new services and practices.

Fulltime

Senior DevOps / Voice Infrastructure Engineer

As we grow and take on exciting new challenges, we’re on the lookout for excepti...

Location

Salary:

Not provided

Mad Devs

Expiration Date

Until further notice

Requirements

3+ years of hands-on experience with Asterisk or FreeSWITCH
Deep knowledge of SIP, RTP, SRTP protocols
Experience with SIP proxies — Kamailio or OpenSIPS
WebRTC integrations
Trunk configuration, dialplan design, codec negotiation
GCP and/or AWS hands-on experience (2+ years)
Kubernetes (GKE or EKS) in production environments
Terraform — custom modules, multi-environment setups
Docker, Docker Compose
CI/CD: GitHub Actions, ArgoCD / Flux

Job Responsibility

Design, deploy, and maintain SIP/VoIP infrastructure (Asterisk, FreeSWITCH, Kamailio) for AI Agents
Integrate voice platforms with cloud services (GCP, AWS) and internal AI pipelines
Ensure high availability and low latency of voice services (HA, load balancing, failover)
Manage cloud infrastructure via IaC (Terraform) and container orchestration in Kubernetes
Set up call quality monitoring (MOS, jitter, packet loss) and alerting with Grafana / Victoria Metrics
Build and optimize CI/CD pipelines (GitHub Actions, ArgoCD) for voice services
Harden voice infrastructure security: encryption (SRTP, TLS), toll fraud prevention, DoS protection
Integrate with PSTN/SIP trunk providers, manage DID numbers and call routing

What we offer

Flexible working hours
Remote-first culture
Long-term projects
Salary in dollars
Professional communities
Onsite business trips
Training budget
Paid conferences

Fulltime

Senior AWS DevOps Engineer (Test & Infrastructure Resilience)

A top-tier consultancy firm is looking for an experienced AWS DevOps Engineer wi...

Location

United Kingdom , City of London

Salary:

Not provided

Randstad

Expiration Date

Until further notice

Requirements

Strong background in testing (including APIs)
Self-motivated and results-driven
Capable of thriving in an Agile team
Comfortable with Confluence for documentation and Jira for project tracking and story management
Must be eligible for SC Clearance
Experience with AWS services (Compute, Identity)
Experience with Vault, Consul, Kubernetes, Prometheus, ELK, Jenkins, Python, Ansible, and/or Bash
Networking advantage with proxies and firewalls including Fortinet and Palo Alto

Job Responsibility

Develop and structure a comprehensive test framework
Create approaches and plans, gain approval for those approaches
Deliver a complex set of functional and performance tests for software components running within an AWS multi-account model
Work alongside client teams and support in a 3rd line capacity as required

Fulltime

Senior DevOps Engineer (AI & Cloud Infrastructure)

We are seeking a Senior DevOps Engineer to design, deploy, and operate the next ...

Location

United States , Palo Alto

Salary:

175000.00 - 250000.00 USD / Year

Inflection AI

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in DevOps, Site Reliability Engineering, or ML Infrastructure supporting high-scale, production systems
Deep expertise in Azure and AWS, including storage, compute, networking, databases, and cloud-native monitoring services
Strong Kubernetes administration experience, including GPU scheduling, operator deployment, and management of core infrastructure components
experience with Slurm is highly desirable
Proven experience deploying, scaling, and operating Large Language Models (LLMs) and inference engines such as vLLM, TGI, or Triton
Strong experience with modern DevOps tooling: Terraform, Helm, Kustomize, ArgoCD, GitHub Actions or GitLab CI, Prometheus, Grafana, and Clickhouse
Advanced scripting and automation skills in Python and Bash, with the ability to debug complex distributed systems and optimize performance at scale
Demonstrated ability to troubleshoot LLM servers, Kubernetes workloads, GPU utilization, and cloud infrastructure bottlenecks
Have a bachelor’s degree or equivalent in a related field to the offered position requirements.

Job Responsibility

Architect, deploy, and operate large-scale LLM inference servers and AI applications with a focus on low latency, high availability, and production reliability
Design, provision, and maintain complex cloud architectures across Azure and AWS, including storage, compute, networking, databases, and native LLM services
Manage GPU-enabled Kubernetes clusters and Slurm-based HPC environments, optimizing resource allocation for AI training and inference workloads
Deploy and operate core Kubernetes infrastructure components and operators (GPU operators, ingress controllers, service meshes, CNIs, CSIs, and storage drivers)
Build scalable infrastructure-as-code and deployment workflows using Terraform, Helm, Kustomize, ArgoCD, and GitOps best practices
Design and maintain centralized observability systems using Prometheus, Grafana, Clickhouse, and cloud-native monitoring tools
Participate in on-call rotations, lead incident response, perform post-mortems, and continuously improve system reliability and SLAs.

What we offer

Diverse medical, dental and vision options
401k matching program
Unlimited paid time off
Parental leave and flexibility for all parents and caregivers
Support of country-specific visa needs for international employees living in the Bay Area
Meaningful equity component.

Fulltime

Senior Devops Engineer, Alpaca Engineer (US Federal)

This role will support one or more direct or indirect contracts with the U.S. Fe...

Location

United States , Reston

Salary:

163800.00 - 245800.00 USD / Year

Workday

Expiration Date

Until further notice

Requirements

A minimum of 8 years software development or DevOps experience
A minimum of 5 years experience with internet protocols TCP/IP, HTTP, SSL/TLS etc
A minimum of 3 years experience with Linux and container technologies (K8s, Docker)
A minimum of 3 years using, deploying, and applying: AWS, Google Cloud Platform
Bachelor’s Degree in Computer Science or related field (or equivalent experience)
This role may require a security clearance at the TS/SCI w/CI Poly level
Applicants must have the ability to obtain and maintain a U.S. government issued security clearance
An active TS/SCI w/CI Poly is preferred
Experience automating infrastructure in at least one modern programming language such as Python, Go, Ruby, Java
Experience running databases (SQL and NoSQL)

Job Responsibility

develop, build, deploy, and support the security specific solutions and infrastructure to help protect Workday customers data
operate and maintain our critical production system as well as building massively scalable digital security systems
regular after-hours production support, in the event of critical service outages

What we offer

may be eligible for the Workday Bonus Plan or a role-specific commission/bonus
annual refresh stock grants

Fulltime