Design, implement, and operate Azure-based infrastructure and CI/CD pipelines. Apply SRE practices (SLOs/SLIs, instrumentation), build Datadog observability, lead incident response and post-mortems, automate with Terraform/Docker/scripting, administer Linux/Windows servers, and collaborate using Atlassian and ITSM/ITIL frameworks to ensure high availability and business reporting.
Our client is a leader in sustainable packaging solutions, leveraging cutting-edge cloud technologies to enhance production, operational excellence, and innovation. Join our team and contribute to eco-friendly advances with state-of-the-art technology and DevOps practices.
Responsibilities
- Cloud Infrastructure: Architect, implement, and manage Microsoft Azure resources including App Services, Virtual Machines, Container Instances, AKS, SQL Server/Instance, and Azure SQL.
- DevOps Automation: Design and maintain CI/CD workflows using Git, Github Actions, SonarQube Cloud, Terraform, and Docker.
- SRE Practices: Develop and monitor SLOs, SLIs, and golden signals; instrument applications and infrastructure; build Datadog dashboards for real-time business and incident reporting.
- Incident Management: Lead incident response, root cause analysis, and post-mortem documentation. Maintain high availability and rapid recovery for business-critical systems.
- Monitoring & Observability: Extensive use of Datadog for monitoring, logging, and performance analytics.
- Configuration Management: Work with Shell, YAML, JSON, and Python for scripting, automation, and configuration.
- System Administration: Administer Ubuntu, RHEL, CentOS, and (entry-level) Windows Server environments.
- Collaboration: Utilize Atlassian Suite (Jira, Confluence) for documentation, ticketing, and project tracking; contribute to ITSM/ITIL frameworks.
- AI & Productivity Tools: Integrate and leverage tools like Claude, Github CoPilot, and other AI productivity solutions.
- Reporting: Create dashboards and business reports to provide actionable insights and drive continuous improvement.
Technical Skills:
- Microsoft Azure (App Services, VM, Container Instances, AKS, SQL Server, Azure SQL).
- Git, Github, Github Actions.
- SonarQube Cloud, Terraform, Docker.
- Datadog (extensive), SRE concepts (SLOs, SLIs, golden signals, instrumentation).
- Incident management, dashboard development, business reporting.
- Shell scripting, YAML/JSON configs, Python.
- Ubuntu, RHEL, CentOS, Windows/Server (entry).
Process & Frameworks:
- Atlassian Suite (Jira/Confluence).
- ITSM / ITIL familiarity.
- AI tools (Claude, Github CoPilot, etc.).
- Microsoft Azure: App Insights, IoT Hub, Azure DevOps, API Management.
- DevOps: Ansible, Argo CD, CodeRabbit, Artifactory.
- SRE Practices: Capacity planning, cost optimization.
- Programming Languages: JavaScript, PowerShell.
- Other Tools: Snowflake, PagerDuty, Salesforce MuleSoft Anypoint.
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 5+ years demonstrated experience in DevOps, SRE, or cloud engineering roles.
- Analytical thinker, problem solver, and proactive communicator.
- Strong collaboration skills, especially across cross-functional and remote teams.
- Ability to thrive in a fast-paced, innovative business environment.
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Similar Jobs
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The Pre-Sales Solutions Engineer leads technical discovery, designs and executes POCs, advises on architectural needs, triages issues, and collaborates with teams to ensure customer success and continuous engagement throughout the project lifecycle.
Top Skills:
DockerHTTPJavaScriptKubernetesPythonSipTypescriptWebrtc
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The Solutions Architect will lead enterprise deployments, ensure technical success for customers, and contribute to product improvements. Responsibilities include architecture design, post-sales support, technical problem-solving, and customer engagement.
Top Skills:
DockerJavaScriptKubernetesPythonRust
Gaming • Software
Responsible for overseeing regulatory compliance, drafting and negotiating commercial agreements, advising on corporate governance, and collaborating with leadership on legal strategies.
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

