{"id":1220838,"url":"https://alion.io/job/logicmonitor-forward-deployed-engineer","title":"Forward Deployed Engineer","company":{"id":514,"name":"LogicMonitor","domain":"logicmonitor.com","url":"https://alion.io/company/remotely","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sydney, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":95000,"max_usd":178000,"period":"year","method":"role_seniority_country_cell","sample_n":10},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"TypeScript","optional":false},{"name":"Ansible","optional":true},{"name":"Jira","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"ServiceNow","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-18T13:19:33Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-09-25T21:29:46Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"About Us: \nWe love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers.\nThis position is located in Sydney. You'll be working in a major tech center of Sydney, Australia. Across the globe, our Centers of Energy serve as hubs where we accelerate productivity and collaboration, inspire creativity, and cultivate a culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best.\nTo learn more about life at LogicMonitor, check out our Careers Page.\nWhat You'll Do:\nLogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise.\nOur customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row! \nWe’re looking for a Forward Deployed Engineer who enjoys solving real customer problems through hands-on engineering and AI-driven solutions. In this role, you will work closely with senior engineers, product teams, and customers to design, build, and deploy tailored solutions that extend LogicMonitor Edwin AI. As a Forward Deployed Engineer, you will operate at the intersection of customer delivery and core platform development, taking responsibility for defined customer workstreams across discovery, scoping, system design, build, rollout, and adoption while partnering with more senior team members on the most complex engagements.\nThis is a customer facing engineering role at the intersection of software engineering, observability, and AI deployment. You will ship code, implement integrations, support production rollouts, and codify repeatable patterns that improve both customer outcomes and the core platform.\nHere's a closer look at this key role:\n\nBuild & Support AI-Powered Solutions\nPartner directly with customers to build production applications, ship technical artifacts used in production workflows, and apply repeatable deployment patterns in moderately complex enterprise environments, escalating or partnering with senior engineers when needed.\nPartner with Engineers and customers to understand use cases, workflows, and technical requirements.\nBuild and maintain backend services, integrations, automations, and lightweight full stack experiences using Python and JavaScript or TypeScript. \nImplement REST API, webhook, and SDK based integrations that normalize, enrich, and route operational data into LogicMonitor Edwin AI. \nInstrument and troubleshoot telemetry across logs, metrics, traces, and related workflow data, including OpenTelemetry based pipelines where appropriate. \nConfigure and deploy solutions in SaaS, hybrid cloud, and customer managed environments, with working familiarity across containers, Kubernetes, CI or CD, and infrastructure automation. \nConfigure and improve dashboards, alerting, service boundaries, and reliability workflows so customer teams can operate what is deployed. \nPartner during go live, hypercare, and troubleshooting periods to drive adoption, reduce friction, and make the solution durable in production.\nContribute field learnings to templates, playbooks, reusable components, and product feedback for core engineering and product teams.\nTechnical Execution\nWrite clean, maintainable code across backend and frontend systems, commonly using Python, JavaScript, TypeScript, and React.\nImplement integrations with third-party systems using APIs and SDKs.\nSupport testing, debugging, and optimization of deployed solutions.\nFollow engineering best practices for reliability, security, and performance.\nContribute to internal documentation and knowledge sharing.\nReusable artifacts created, such as templates, integration patterns, playbooks, or productized improvements. \nPrototype & Iterate\nHelp develop MVPs and proof-of-concept solutions to validate customer use cases.\nIncorporate feedback from customers and internal stakeholders to refine functionality.\nSupport the transition of validated solutions into scalable product capabilities in collaboration with product and core engineering teams.\nCustomer & Partner Collaboration\nParticipate in technical discussions with customers and partners alongside senior engineers.\nProvide implementation support and troubleshooting during deployments.\nShare insights and feedback from customer engagements with internal teams to improve product quality and usability.\nProduction deployments launched and adopted by named customer teams. \nTime to first value, such as first workflow live, first integration live, or first meaningful AI investigation or automation in production. \nMeasurable workflow impact, such as reduced manual triage, faster incident handling, lower alert noise, or improved operational efficiency. \nStrong implementation quality, documentation quality, and stakeholder satisfaction.\nWhat You'll Need:\nBachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.\n5+ years of relevant experience in backend, data systems, platform, solutions, or software engineering.\nExperience building streaming data pipelines (Kafka / Spark or any similar technology).\nStrong programming background in Java and Python, including microservice design.\nExperience with ETL, data modeling, and distributed storage systems.\nDemonstrated ability to ship clean, production quality code in Java or Python plus JavaScript or TypeScript, whether gained in software engineering, platform engineering, solutions engineering, SRE, or technical consulting. \nDemonstrated ability to integrate external systems using APIs, SDKs, authentication controls, payload mapping, and schema validation. \nWorking knowledge of observability fundamentals, including logs, metrics, traces, dashboards, alerting, root cause investigation, and incident workflows. \nFamiliarity with OpenTelemetry concepts and telemetry pipelines, including how data is instrumented, collected, and routed across systems. \nWorking knowledge of modern cloud and deployment tooling such as AWS, Azure, or GCP, containers, Kubernetes, CI or CD, and infrastructure automation tools. \nPractical exposure to AI application patterns such as LLM APIs, agents or workflows, evaluation basics, and the observability of AI systems in production. \nStrong debugging judgment and systems thinking, with the ability to make progress independently on defined problems and collaborate with senior engineers on highly ambiguous customer environments. \nAwareness of data governance, validation, and lineage best practices.\nEffective communication and collaboration across AI, Data, and Platform teams.\nClear written and verbal communication skills, with the ability to explain technical tradeoffs to engineers, product teams, and customer stakeholders. \nNice to have: ServiceNow or Jira workflows, automation tooling such as Ansible, Terraform, or Rundeck, and familiarity with MCP or similar integration patterns. \nClick here to read our International Applicant Privacy Notice.\nLogicMonitor is an Equal Opportunity Employer\n At LogicMonitor, we believe that innovation thrives when every voice is heard and each individual is empowered to bring their unique perspective. We’re committed to creating a workplace where diversity is celebrated, and all employees feel inspired and supported to contribute their best.\nFor us, equal opportunity means fostering a truly inclusive culture where everyone has the chance to grow and succeed. We don’t just open doors; we invite you to step through and be part of something bigger. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\nNotice Regarding Use of AI in Hiring\nWe use artificial intelligence tools to assist with reviewing job applications, such as matching skills and experience to job requirements. These tools support, but do not replace, human review. All hiring decisions are made by our recruiting and hiring teams. You may opt out of AI processing at any time, and your application will still be reviewed. To opt out, please contact us at . \nBy submitting your application, you acknowledge this notice.\n\nOur goal is to ensure an accessible and inclusive experience for every candidate.\nIf you need a reasonable accommodation during the application or interview process under applicable local law, please submit a request via this Accommodation Request Form.\nKnow your rights: workplace discrimination is illegal. Please click here to review LogicMonitor’s U.S. Pay Transparency Nondiscrimination Provision.","description_format":"text","description_chars":9704,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Observability & APM"],"lifecycle":[{"event":"open","at":"2026-09-25T11:54:26Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":7,"expected_fill_days":47,"reasons":["conf:4","win:early"],"computed_at":"2026-09-26T02:21:49Z"},"pay":null,"html_url":"https://alion.io/job/logicmonitor-forward-deployed-engineer","json_url":"https://alion.io/job/logicmonitor-forward-deployed-engineer.json","meta":{"generated_at":"2026-09-26T02:21:49Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2399,"day_limit":5000,"remaining_today":2601,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}