What you’ll do
- Lead the design, implementation, and ongoing improvement of reliable, scalable, performant, and secure production platforms and services.
- Work closely with cross-functional teams to build and maintain resilient infrastructure and deployment patterns.
- Provide technical leadership and mentorship to engineers across the organisation, promoting strong engineering standards and operational best practice.
- Participate in a 24x7 on-call rotation to support critical services and ensure platform availability.
- Drive standardisation, automation, and documentation to improve consistency, reduce operational overhead, and support knowledge sharing.
- Contribute across the full lifecycle of platform and service delivery, from design and build through to operation and optimisation.
Essential skills and experience
- 5+ years of experience in DevOps, SRE, platform engineering, or software engineering roles.
- Strong Kubernetes experience at scale, with deep understanding of containers and container orchestration.
- Hands-on experience with infrastructure as code tools such as Terraform, Ansible, or Puppet.
- Strong programming skills in at least one object-oriented language, along with effective scripting and automation capability.
- Strong understanding of security principles and best practices across infrastructure, platforms, and services.
- Significant hands-on experience in at least one major cloud platform, with broad exposure across AWS, GCP, or OCI.
- Strong monitoring, alerting, and observability experience using tools such as Prometheus, Grafana, or similar platforms.
- Solid understanding of networking fundamentals and distributed systems.
- Strong Linux and/or Windows systems administration experience.
- Experience with software delivery automation, CI/CD pipelines, and secure SDLC practices, including exposure to static and dynamic security testing.
- Good understanding of SRE concepts such as SLIs, SLOs, SLAs, toil reduction, availability, and observability.
- Experience managing and scaling Elasticsearch in production is strongly preferred.
Preferred skills
- Kafka
- MySQL and/or PostgreSQL
- Redis
- Networking
Skills Required
- 5+ years in DevOps, SRE, or software engineering roles
- Strong Kubernetes experience
- Hands-on experience with infrastructure as code tools
- Proficiency in at least one object-oriented programming language
- Significant experience in one major cloud platform
- Experience in monitoring and alerting tools
- Strong Linux and/or Windows systems administration experience
- Experience with CI/CD pipelines
- Understanding of SRE concepts
Brandwatch Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brandwatch and has not been reviewed or approved by Brandwatch.
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Flexible Benefits — Work is remote-optimized with hybrid options, flexible core hours, and a home-office stipend that support varied working styles. Feedback suggests this flexibility is a notable strength relative to other elements of the package.
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Leave & Time Off Breadth — Unlimited PTO plus additional wellness days and paid holidays/volunteer time provide generous time-away policies. Feedback suggests these policies are attractive on paper, with usage shaped by team norms.
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Wellbeing & Lifestyle Benefits — Medical, dental, vision, FSA, mental-health resources (EAP, Headspace), and learning access/stipends indicate a broad wellbeing offering. Feedback suggests these benefits can help offset cash-pay concerns for some roles.
Brandwatch Insights
What We Do
Brandwatch is the world’s leading digital consumer intelligence company, allowing users to analyze and utilize conversations from across the web and social media. It is the perfect platform to make sense of your consumers, their needs, wants, and interests. With official access to Twitter, Reddit, and Tumblr's firehose, plus data coming from 100 million other sites, our historical archive includes over a trillion conversations, with 501 million new ones added every day. Our platform then combines queries and AI to help you parse and analyze the data that's useful to you. From there it can be chopped, sliced, and combined to find insights you can put into action.









