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 San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

