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Help Desk Tier 1 AI · at-risk hybrid
MSP / Consulting Healthcare Education Finance
Queue opens at 8 AM. Check overnight tickets. First hour: password resets (40% of daily tickets), unlock accounts, printer drivers. 9:30 AM standup — report sev-1 escalations from night shift. Spend 4–5 hours cycling through 20–40 tickets: 'can't connect to VPN', 'Outlook not syncing', 'monitor won't wake'. Most resolve in 2–5 minutes. Escalate 2–3 per day to Tier 2. Afternoon: documentation, knowledge-base articles, helping new hires. Friday chaos worse than Monday.
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Junior Sysadmin / Cloud Engineer AI · mixed remote
Tech / SaaS Finance Government
Morning monitoring check (Datadog / CloudWatch / Prometheus). Triage overnight alerts. 9 AM standup. 2–3 hours on assigned tickets — server builds, AD changes, GPO updates, M365 config. Lunch. Afternoon: project work — automating something, building Terraform modules, writing PowerShell, patching test environments. End-of-day: handoff, doc updates. On-call rotation 1 week in 4. Friday change windows are real.
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Junior Network Engineer AI · at-risk hybrid
Telco Tech / SaaS Finance
Morning: review monitoring (LibreNMS / SolarWinds / PRTG). Address P2/P3 tickets — VPN issue, switch port flap, wireless complaint. Mid-morning: prep for change window — script config, get peer review, schedule maintenance. Afternoon: implement small change, document, update CMDB. Lab time on Fridays — Cisco Modeling Labs / GNS3. Late afternoons quiet enough for studying CCNP material.
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Junior Developer (Bootcamp / Self-Taught / New Grad) AI · at-risk hybrid
Tech / SaaS Fintech Startups
Open IDE 9 AM, check Slack and PR queue. Standup 9:30. 1–2 hours coding on assigned ticket. Coffee. Code review on a teammate's PR. Lunch. Afternoon deep work — 2–3 hours uninterrupted coding (if you're lucky). Push commit, ask for review, address comments. Late afternoon: pair-program with senior on something tricky. Friday: tech debt or learning time at most healthy companies.
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SOC Analyst Tier 1 AI · at-risk hybrid
Finance Healthcare Government MSSP
Shift starts: handover from previous shift. Open SIEM (Splunk / Sentinel / QRadar). 6+ hours staring at alerts — phishing reports, EDR triggers, brute-force attempts. Close 80% as false-positives. Document 5–10 real investigations per shift. Escalate 1–2 to L2/L3. Hourly check on dashboards. Snacks help. Burnout factor: high. Most leave after 18–24 months.
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Junior Data Analyst AI · mixed hybrid
Finance Healthcare Tech / SaaS
Morning: refresh dashboards, check pipeline runs (dbt / Airflow). 1–2 hours on ad-hoc requests — 'can you pull X for the marketing team'. Lunch. Afternoon: deeper analysis project — SQL queries, Python notebook, visualization. Stakeholder meeting at 3 PM to walk through findings. End-of-day: doc and Slack updates. Most weeks 50% requests / 30% recurring / 20% exploration.
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Junior DevOps Engineer AI · mixed remote
Tech / SaaS Fintech Manufacturing
9 AM: check overnight pipeline runs, fix any flaky tests. Standup. 2–3 hours improving CI/CD — adding test stages, optimizing build times, fixing deploy issues. Lunch. Afternoon: Terraform module work, Kubernetes manifest tweaks, monitoring alert tuning. Late afternoon: pair with senior on something Kubernetes-y. On-call: occasional 2 AM page. Friday: run a chaos experiment in non-prod.
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Salesforce Administrator AI · mixed hybrid
All sectors using Salesforce — SaaS, Finance, Healthcare, Nonprofit
Morning: triage Salesforce ticket queue (custom fields, validation rules, layout changes, user access). 9:30 standup with delivery team. 2 hours: configuration work in dev sandbox, deploy via change sets / DevOps. Lunch. Afternoon: stakeholder meeting on next quarter's roadmap. Build new Flow automation for an opportunity-stage trigger. End of day: report tweaks, dashboard refreshes.
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ServiceNow Administrator AI · mixed hybrid
Finance Healthcare Government Large enterprise
Open queue: incident ticket form changes, new SLA rules, role permissions. Morning: 1–2 hours of small config tasks in dev instance. 9:30 standup. Stakeholder call about a new Customer Service Module rollout. Lunch. Afternoon: build a flow in Flow Designer, debug a Glide script someone else wrote, write an integration to a third-party tool. Late afternoon: knowledge-base updates, ticket close-out.
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QA Engineer (entry / manual) AI · at-risk hybrid
Tech / SaaS Fintech Healthcare
Morning: run smoke tests on overnight build. Triage failures. Standup. 2–3 hours executing test cases on new feature, raising bugs in JIRA with reproductions. Lunch. Afternoon: regression cycle on a release branch. Pair with dev to repro a tricky bug. Late afternoon: write new test cases for next sprint's tickets. Friday: retro + test plan review.
associate
Sysadmin AI · mixed hybrid
All sectors
Morning monitoring, ticket triage, standup. Mid-morning: project work — automation, doc, new service builds. Afternoon: change windows, vendor escalations, 1:1s with junior. Late: review PR / runbooks. Variable on-call.
professional
Site Reliability Engineer (SRE) AI · resilient remote
Tech / SaaS Media / Gaming Finance
Morning SLO check across services. Standup. Build something that removes toil (a runbook, an automation, a new alert). Lunch. Postmortem from yesterday's mini-incident — write it up blamelessly. Afternoon: capacity planning, error-budget conversations with product. Late: on-call rotation if it's your week.
expert
Cloud Solutions Architect AI · resilient remote
Tech / SaaS Finance Defense / Aerospace
Morning: review yesterday's design doc feedback. Customer / stakeholder call. Whiteboard a new system architecture. Lunch. Afternoon: write ADR, run a design review for another team, vendor evaluation. Late: read a paper or a competitor's architecture blog. Less coding, more writing.
expert
Security Architect AI · resilient remote
Finance Government Defense
Threat-model a new product feature. Review someone else's design doc for security holes. Vendor call about new SIEM contract. Architecture review board meeting. Read latest CVE advisory thread. Write security strategy doc for board reporting.
professional
ML Engineer AI · resilient remote
Tech / SaaS Healthcare Automotive
Check overnight training runs. Standup. 2–3 hours of feature engineering or model training. Lunch. Afternoon: review another engineer's PR, write evaluation harness, set up A/B test. Late: read latest paper / debug deployment issue. Half data engineering, half model dev, increasingly half ML ops.
professional
AI Engineer (LLM / RAG) AI · resilient remote
Tech / SaaS Finance Healthcare
Morning: check eval harness scores from last night's prompt change. Standup. Implement RAG improvement. Lunch. Afternoon: vector DB tuning, prompt regression test, vendor cost analysis. Pair with product on next feature. Late: read latest model release notes, test a new model.
expert
Engineering Manager AI · resilient hybrid
Tech / SaaS Finance Fintech
3–5 1:1s. Standup. Stakeholder meeting. Write a roadmap update. Performance review draft. Hire-screen interview. Coffee. Skip-level with VP. Read PR (less than before — credibility but not blocker). 1:1 cadence is everything.
expert
CISO AI · resilient hybrid
All sectors
Board prep. Risk register review. CFO meeting on insurance renewal. M&A security due diligence call. Crisis comms drill. 1:1 with deputy. Press inquiry response review. Reading time scarce. Tenure under 24 months is the median — burnout is real.
professional
Mainframe Sysprog (z/OS) AI · resilient on-site
Finance Government Insurance
Check batch jobs from overnight. Open IMS / DB2 / CICS console. Performance tuning. Code review on COBOL or PL/I changes. Vendor call about z/OS upgrade. Lunch in cafeteria. Afternoon: planned change, write JCL, document. Quiet, focused work. Pension + tenure beats grind.
associate
Datacenter Technician AI · mixed on-site
Hyperscalers Colocation providers Enterprise
Morning shift handover. Walk the floor. Replace failed drive in rack 47. Cable pull for new cage. Vendor RMA package. Lunch. Afternoon: power-and-cooling check, fire-suppression test, document everything in CMDB. Physical, hands-on, real-world tired at end of shift.
professional
Sales Engineer / Pre-Sales SA AI · mixed remote
Tech / SaaS Fintech Consulting
3 demos. Customer Q&A on technical objections. RFP response writing. Internal call with product about feature gaps. Lunch on the road or virtual. Afternoon: 1 more demo, opportunity prep with AE. Late: study new product release. Travel weeks vs office weeks alternate.
professional
Developer Advocate / DevRel AI · mixed remote
Tech / SaaS Devtool startups
Morning writing — blog post, sample app code. Twitter / X / Discord engagement. Internal call with product / marketing. Lunch. Afternoon: prep for upcoming conference talk. Q&A on community Slack. Late: code on a personal project relevant to the platform. Conferences cluster around 6–8 weeks/yr.
professional
Technical Program Manager (TPM) AI · resilient remote
FAANG / hyperscalers Defense Large enterprise
6 status meetings. Update the risk register. Negotiate dependencies between 4 teams. Exec comms draft. 1:1 with EM. Document a decision in the meta-tracking sheet. Skip-level question prep. Spreadsheet. Always more spreadsheets.
associate
Technical Writer / Doc Engineer AI · mixed remote
Tech / SaaS Devtool startups Cloud vendors
Morning quiet writing time. PR review on someone else's docs. Lunch. Afternoon: meet with product / eng on new feature docs. Update site nav. Run docs build pipeline. Late: read style guide, audit IA. Most days deeply quiet — best for introverts.
