• Evolve our cloud infrastructure (AWS & GCP) using infrastructure-as-code tools like Terraform or Ansible. • Implement systems that support the compute-heavy and storage-intensive needs of machine learning and data processing pipelines. • Manage scalable, secure, and cost-efficient environments across dev, staging, and production. • Participate in an on-call rotation. • Collaborate with ML engineers to productionize models and manage workflows across training, testing, and deployment stages. • Implement infrastructure to support versioning, orchestration, and monitoring of ML models in production (e.g. using tools like Kubeflow, SageMaker, VertexAI, or custom pipelines). • Optimize data pipelines and model serving infrastructure for low-latency and high-throughput performance. • Drive the strategy for observability, logging, and alerting across distributed systems. • Lead incident response, root cause analysis, and system hardening for long-term resiliency. • Implement best practices for infrastructure security, container hardening, and network architecture. • Partner with engineering teams to bake DevOps best practices into the development lifecycle. • Build tooling and automation that improves developer velocity, release stability, and system transparency.

• Manage projects and tasks, as assigned, including: Tool replacement and upgrades, Maintain accurate data set in tools, Deploying new networks, Integrating tools and authentication methods, Hardware upgrades and replacements, Creating and updating documentation • Perform network/systems support in a Managed Services Center environment • Troubleshoot, isolate, and diagnose common problems network/systems problems, either alone or as part of a team • Resolve and manage problems effectively and immediately • Work in a team environment 7x24x365 with the ability to function independently and discretely during rotating shift work • Provide systems support functions for client end systems, including design, development, troubleshooting, diagnosis, and problem resolution. Follow-through until problems are resolved. • Focus on building your own high-level technical skills including building a strength in coding and automation techniques • Ability to work overnight shifts on a weekly rotating schedule • Ability to work remotely and still provide a professional communication experience

• Ensure Darktrace is deployed, integrated, and optimized to the highest standards • Assist customers with deploying Darktrace technology within network, cloud, OT, and email environments • Lead and become a trusted advisor to key customers in their security infrastructure design and planning • Complete deployment projects on or before expected Service Level Objectives (SLOs) • Integrate new systems into existing network architecture • Manage customer support tickets to assist with technical issues • Proactively engage with customers to help maintain a healthy deployment • Maintain and enhance communication between all go-to-market teams, including sales, customer success, and operations

• Become the first hire in a new Platform team and build the infrastructure function from scratch - from strategy to execution, with full ownership and impact across the business; • Transform infrastructure that has grown alongside the product into a mature, well-structured platform — with clear service maps, dependencies, and ownership areas; • Take Terraform and Kubernetes to the next level of maturity: modular IaC architecture, standardized deployments, autoscaling — ensuring every release is predictable and reliable; • Build a full observability system: metrics, logs, traces, alerting — so the team can proactively monitor system health instead of reacting after issues occur; • Strengthen security practices: access management, secrets handling, protection from external threats — and make security an integral part of the engineering culture; • Optimize data infrastructure — ensuring stable and efficient pipelines for analytics and business decision-making; • Create platform templates for new services — so product teams can focus on features instead of infrastructure; • Work across three core business domains — Product, Growth/Marketing, and Payments — building solutions that scale the entire business, not just отдельных команд.