{"id":4320216,"url":"https://alion.io/job/gurulink-staff-engineer-forward-deployed","title":"Staff Engineer - (Forward Deployed)","company":{"id":2670276,"name":"Gurulink","domain":"gurulink.com","url":"https://alion.io/company/gurulink-2","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BPMN","optional":false},{"name":"Java","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"AI Agents","optional":true}],"status":"live","first_seen_at":"2026-11-09T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-11-09T00:00:00Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Location: REMOTE / Toronto, Ontario\nThis job allows you to work remotely.\nAbout the role:\nProcessOS is a new kind of product: business processes described in natural language, generated as executable BPMN workflows, and improved autonomously from production data. We're hiring the first cohort of Forward Deployed Engineers to bring it into production at enterprise customers. You'll own the deployment journey from first process file to a working, improving system, and hand off a functioning capability to the customer's team. The code you write and the patterns you discover feed directly back into how ProcessOS is built. This is a rare opportunity to shape a product, a function, and a field practice from day one.\nYou'll work end•to•end across Java services and React interfaces, collaborating closely with a talented global team to measure, improve, and scale performance and fault tolerance in real-world distributed systems.\nWhat You'll Be Doing:\nDeploy and prove: own the end-to-end journey from first process file to a running, measurably improving production workflow.\nAt 90 days: at least one workflow running, the improvement loop active, and measurable fitness gains the customer can see.\nAt 12 months: 3–5 customers with viable deployments.\nFeed the product: You're building the product as you work with customers; this includes features, agents, and skill files. When you find a bug, you're empowered to fix it.\nDrive organisational adoption: work across technical and business stakeholders to turn early deployments into lasting customer capability\nWork at technical depth: configure clusters, debug integration failures, and build custom agents where platform defaults don't fit\nBuild the playbook: document what good looks like as you discover it and make the next deployment faster\nHand off deliberately: leave each customer team trained, independent, and able to act on improvement results without you\nMust Have Skills:\nStrong expereince with Java stack, Scalla, React or Golang\nEnterprise production experience: you've shipped something inside a large organisation and stayed to see it operate. You know why governance and resilience matter at scale.\nTechnical depth: you can debug an integration failure, write a custom agent against a legacy API, stand up a cluster from scratch, and explain generated BPMN to both engineers and business leads.\nStakeholder communication: you work effectively across engineering, architecture, and business leadership and adapt how you communicate without losing precision.\nPractical AI experience: you've used AI to solve real problems in production – not just experimented. 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