Staff-Full-Stack-Engineer on Mattermost Engineering Knowledge Base

Staff Full Stack Engineer — new in top 50

Thu, 22 Oct 2026 00:00:00 +0000

2026-10-22 · first seen since 2026-10-16 09:21 · rank is within the role’s overall top 50

#1 ★NEW · Pierre Cabell · Cuyahoga Falls, Ohio, United States · Staff Full-Stack Engineer · UVeye · score: 0.889

Greenhouse · LinkedIn | AI: 0.12 | GH fraud: strong — datacenter IP, VOIP phone (+5 weak: TZ mismatch, proxy, bot-like IP, IP history, new email)

This candidate is a strong match on paper: current Staff title at UVeye doing exactly the described work — Go/React/TypeScript/PostgreSQL/Redis, architecture ownership across four product teams, a real-time WebSocket layer with explicit reconnect/ordering/backpressure design, and a documented testing overhaul (48min to 14min pipeline). The AI-agent story is specific and credible rather than buzzword-y: shared Claude Code skills, MCP servers for internal APIs, a CI review agent adopted org-wide, and explicit written guardrails for where agents shouldn’t touch auth/payments/security — this is genuinely above-average AI-tooling maturity for a staff-level hire. Mentoring and informal-influence answers are concrete (named outcomes: one engineer now leads API redesign, another runs a testing guild) rather than vague self-praise, and the regulated-environment experience (ITAR, FedRAMP-aligned controls, air-gapped military deployment) is a near-exact match to the ‘regulated/high-compliance’ and EAR/ITAR requirements.

Staff Full Stack Engineer — top 50

Thu, 22 Oct 2026 00:00:00 +0000

2026-10-22 · ranked by composite score · ★NEW = first seen since 2026-10-16 09:21

#1 ★NEW · Pierre Cabell · Cuyahoga Falls, Ohio, United States · Staff Full-Stack Engineer · UVeye · score: 0.889

Greenhouse · LinkedIn | AI: 0.12 | GH fraud: strong — datacenter IP, VOIP phone (+5 weak: TZ mismatch, proxy, bot-like IP, IP history, new email)

Staff Full Stack Engineer — new in top 50

Fri, 16 Oct 2026 00:00:00 +0000

2026-10-16 · first seen since 2026-10-13 09:19 · rank is within the role’s overall top 50

#16 ★NEW · Preston Matheson · Portland, Oregon, United States · Lead Software Engineer · Lightspeed Systems · score: 0.738

Greenhouse · LinkedIn | AI: 0.20 | GH fraud: weak (+1 weak: new email)

This candidate shows strong staff-level technical substance: production Go and React/TypeScript experience, distributed systems work at meaningful scale (tens of millions of requests/day, 6.67M devices), and a track record of leading architecture decisions like unifying a split data model used across five services and redesigning a hot-path policy resolution system. Compliance-adjacent experience is present and relevant — a DoD contract enabled by their feature work and resolving MOE audit/security findings in Singapore — which maps reasonably well to the regulated-environment requirement, though explicit clearance/ITAR eligibility isn’t confirmed in the text. Mentoring and informal-authority influence are well evidenced: leading a team of all-senior engineers, mentoring a staff engineer, and driving org-wide adoption of agentic AI workflows against initial resistance, with a structured mechanism (weekly show-and-tell) for spreading practices — this is a genuinely strong signal for the ‘AI-agentic standards’ and ‘influence without authority’ requirements.

Staff Full Stack Engineer — top 50

Fri, 16 Oct 2026 00:00:00 +0000

2026-10-16 · ranked by composite score · ★NEW = first seen since 2026-10-13 09:19

#1 · Jonathan Pyers · Troutman, North Carolina, United States · Solution Architect and Team Lead - Senior Software Engineer, Full-Stack · RTS Labs · score: 0.859

Greenhouse · LinkedIn | AI: 0.07 | GH fraud: ok

This is a strong match on paper: genuine Go + React/TypeScript production experience, PostgreSQL, a track record of end-to-end ownership (solution architect scoping and delivering client systems, MCP server for company-wide estimating), and real regulated-environment exposure — five years at Lawrence Livermore National Laboratory supporting mission-critical National Ignition Facility operations, plus HHS government consulting at Ad Hoc. The LLNL background strongly suggests clearance/ITAR eligibility even though not explicitly stated, which directly addresses a required qualification many candidates can’t meet. The AI-agent fluency signal is unusually credible — they didn’t just name a tool, they built their own agent harness (public repo) and actively maintain standards artifacts for agents across projects, which is close to the ‘org-wide AI-agentic engineering standards’ this role wants someone to establish.

Staff Full Stack Engineer — new in top 50

Wed, 14 Oct 2026 00:00:00 +0000

2026-10-14 · first seen since 2026-10-01 00:00 · rank is within the role’s overall top 50

#1 ★NEW · Jonathan Pyers · Troutman, North Carolina, United States · Solution Architect and Team Lead - Senior Software Engineer, Full-Stack · RTS Labs · score: 0.859

Greenhouse · LinkedIn | AI: 0.07 | GH fraud: ok

Staff Full Stack Engineer — new in top 50

Wed, 14 Oct 2026 00:00:00 +0000

2026-10-14 · first seen since 2026-10-12 00:00 · rank is within the role’s overall top 50

#1 ★NEW · Jonathan Pyers · Troutman, North Carolina, United States · Solution Architect and Team Lead - Senior Software Engineer, Full-Stack · RTS Labs · score: 0.859

Greenhouse · LinkedIn | AI: 0.07 | GH fraud: ok

Staff Full Stack Engineer — top 50

Wed, 14 Oct 2026 00:00:00 +0000

2026-10-14 · ranked by composite score · ★NEW = first seen since 2026-10-01 00:00

#1 ★NEW · Jonathan Pyers · Troutman, North Carolina, United States · Solution Architect and Team Lead - Senior Software Engineer, Full-Stack · RTS Labs · score: 0.859

Greenhouse · LinkedIn | AI: 0.07 | GH fraud: ok

Staff Full Stack Engineer — top 50

Wed, 14 Oct 2026 00:00:00 +0000

2026-10-14 · ranked by composite score · ★NEW = first seen since 2026-10-12 00:00

#1 ★NEW · Jonathan Pyers · Troutman, North Carolina, United States · Solution Architect and Team Lead - Senior Software Engineer, Full-Stack · RTS Labs · score: 0.859

Greenhouse · LinkedIn | AI: 0.07 | GH fraud: ok