PWC - Automation/Devops Engineer-Associate

Role: Automation/Devops Engineer What youll do Build & deploy Build agent components tools, MCP servers, prompts, orchestration logic to specification. Develop deterministic automations (e.g., ServiceNow flows, integrations, scripts) that remove manual effort often the fastest, lowest-risk path to takeout. Write clean, tested Python and use agentic SDLC tooling (e.g., Claude Code, Cursor) to move quickly. Integrate solutions with client systems APIs, ITSM, data sources and deploy through team CI/CD. Operate & observe Monitor the health of deployed agents and automations; run evaluations and help triage issues. Build and maintain dashboards, telemetry, and runbooks. Help tune alerting and reduce noise; automate routine remediation. Across the role Document what you build so it can be operated and handed off cleanly. Surface improvement and automation opportunities you notice feeding the teams innovation cadence. Work within client data-handling, security, and gated-autonomy rules at all times. Collaborate closely with client engineers and your PwC pod. Your toolkit Exposure to several of the following, with developing depth in at least one: Languages: Python (primary), plus SQL and Bash. Agentic: LLM application patterns (agents, RAG, prompting), MCP, an agent framework. Automation: ServiceNow (Flow Designer, IntegrationHub) or a comparable iPaaS. Cloud & delivery: one of AWS / Azure / GCP, Git, CI/CD, containers. Observability: a monitoring or tracing tool such as Datadog, Grafana/Prometheus, Splunk, Langfuse, or LangSmith. What youll bring ~3+ years in software, automation, SRE, or related engineering (strong recent graduates with demonstrable project work considered). Solid Python and core engineering fundamentals version control, testing, APIs. Exposure to building or operating LLM/agentic applications, and genuine enthusiasm to go deep. Ability to work embedded with a client team, with a bias to ship and comfort with ambiguity. Bachelors in CS/engineering or equivalent practical experience. Nice to have ServiceNow certification, a cloud certification, or relevant agentic/ML coursework. Experience in a client-facing, consulting, or managed services setting. Public technical work open source, writing, or projects. What success looks like (first 612 months) Youve shipped production code or automations the client relies on. Youve chosen and started going deep in a discipline: Build & Deploy, Operations, or Observability & SRE. Client engineers seek you out as a dependable pair of hands. Youll thrive here if you like building things that go live, youd rather own an outcome than a queue, and you want to be at the frontier of agents in production. Working at PwC You will work within PwCs quality, risk, and independence standards, alongside a team that invests in your growth and a practice that is building the future of intelligent operations. PwC is an equal opportunity employer. Role: Automation/Devops Engineer What youll do Build & deploy Build agent components tools, MCP servers, prompts, orchestration logic to specification. Develop deterministic automations (e.g., ServiceNow flows, integrations, scripts) that remove manual effort often the fastest, lowest-risk path to takeout. Write clean, tested Python and use agentic SDLC tooling (e.g., Claude Code, Cursor) to move quickly. Integrate solutions with client systems APIs, ITSM, data sources and deploy through team CI/CD. Operate & observe Monitor the health of deployed agents and automations; run evaluations and help triage issues. Build and maintain dashboards, telemetry, and runbooks. Help tune alerting and reduce noise; automate routine remediation. Across the role Document what you build so it can be operated and handed off cleanly. Surface improvement and automation opportunities you notice feeding the teams innovation cadence. Work within client data-handling, security, and gated-autonomy rules at all times. Collaborate closely with client engineers and your PwC pod. Your toolkit Exposure to several of the following, with developing depth in at least one: Languages: Python (primary), plus SQL and Bash. Agentic: LLM application patterns (agents, RAG, prompting), MCP, an agent framework. Automation: ServiceNow (Flow Designer, IntegrationHub) or a comparable iPaaS. Cloud & delivery: one of AWS / Azure / GCP, Git, CI/CD, containers. Observability: a monitoring or tracing tool such as Datadog, Grafana/Prometheus, Splunk, Langfuse, or LangSmith. What youll bring ~3+ years in software, automation, SRE, or related engineering (strong recent graduates with demonstrable project work considered). Solid Python and core engineering fundamentals version control, testing, APIs. Exposure to building or operating LLM/agentic applications, and genuine enthusiasm to go deep. Ability to work embedded with a client team, with a bias to ship and comfort with ambiguity. Bachelors in CS/engineering or equi