About Us:

We 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.

This 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.

To learn more about life at LogicMonitor, check out our Careers Page.

What You'll Do:

LogicMonitor® 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.

Our 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!

We’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.

This 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.

Here's a closer look at this key role:

Build & Support AI-Powered Solutions

Partner 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.
Partner with Engineers and customers to understand use cases, workflows, and technical requirements.
Build and maintain backend services, integrations, automations, and lightweight full stack experiences using Python and JavaScript or TypeScript.
Implement REST API, webhook, and SDK based integrations that normalize, enrich, and route operational data into LogicMonitor Edwin AI.
Instrument and troubleshoot telemetry across logs, metrics, traces, and related workflow data, including OpenTelemetry based pipelines where appropriate.
Configure and deploy solutions in SaaS, hybrid cloud, and customer managed environments, with working familiarity across containers, Kubernetes, CI or CD, and infrastructure automation.
Configure and improve dashboards, alerting, service boundaries, and reliability workflows so customer teams can operate what is deployed.
Partner during go live, hypercare, and troubleshooting periods to drive adoption, reduce friction, and make the solution durable in production.
Contribute field learnings to templates, playbooks, reusable components, and product feedback for core engineering and product teams.

Technical Execution

Write clean, maintainable code across backend and frontend systems, commonly using Python, JavaScript, TypeScript, and React.
Implement integrations with third-party systems using APIs and SDKs.
Support testing, debugging, and optimization of deployed solutions.
Follow engineering best practices for reliability, security, and performance.
Contribute to internal documentation and knowledge sharing.
Reusable artifacts created, such as templates, integration patterns, playbooks, or productized improvements.

Prototype & Iterate

Help develop MVPs and proof-of-concept solutions to validate customer use cases.
Incorporate feedback from customers and internal stakeholders to refine functionality.
Support the transition of validated solutions into scalable product capabilities in collaboration with product and core engineering teams.

Customer & Partner Collaboration

Participate in technical discussions with customers and partners alongside senior engineers.
Provide implementation support and troubleshooting during deployments.
Share insights and feedback from customer engagements with internal teams to improve product quality and usability.
Production deployments launched and adopted by named customer teams.
Time to first value, such as first workflow live, first integration live, or first meaningful AI investigation or automation in production.
Measurable workflow impact, such as reduced manual triage, faster incident handling, lower alert noise, or improved operational efficiency.
Strong implementation quality, documentation quality, and stakeholder satisfaction.

What You'll Need:

Bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.
5+ years of relevant experience in backend, data systems, platform, solutions, or software engineering.
Experience building streaming data pipelines (Kafka / Spark or any similar technology).
Strong programming background in Java and Python, including microservice design.
Experience with ETL, data modeling, and distributed storage systems.
Demonstrated 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.
Demonstrated ability to integrate external systems using APIs, SDKs, authentication controls, payload mapping, and schema validation.
Working knowledge of observability fundamentals, including logs, metrics, traces, dashboards, alerting, root cause investigation, and incident workflows.
Familiarity with OpenTelemetry concepts and telemetry pipelines, including how data is instrumented, collected, and routed across systems.
Working knowledge of modern cloud and deployment tooling such as AWS, Azure, or GCP, containers, Kubernetes, CI or CD, and infrastructure automation tools.
Practical exposure to AI application patterns such as LLM APIs, agents or workflows, evaluation basics, and the observability of AI systems in production.
Strong 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.
Awareness of data governance, validation, and lineage best practices.
Effective communication and collaboration across AI, Data, and Platform teams.
Clear written and verbal communication skills, with the ability to explain technical tradeoffs to engineers, product teams, and customer stakeholders.
Nice to have: ServiceNow or Jira workflows, automation tooling such as Ansible, Terraform, or Rundeck, and familiarity with MCP or similar integration patterns.

Click here to read our International Applicant Privacy Notice.

LogicMonitor is an Equal Opportunity Employer
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.

For 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.

Notice Regarding Use of AI in Hiring

We 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 [email protected].

By submitting your application, you acknowledge this notice.

Our goal is to ensure an accessible and inclusive experience for every candidate.

If you need a reasonable accommodation during the application or interview process under applicable local law, please submit a request via this Accommodation Request Form.

Know your rights: workplace discrimination is illegal. Please click here to review LogicMonitor’s U.S. Pay Transparency Nondiscrimination Provision.

About the company

LogicMonitor provides a cloud- and on-premises IT infrastructure monitoring platform. It helps enterprises and service providers watch servers, networks, cloud resources, and applications from a single, scalable, subscription-based service. The platform continuously collects telemetry across environments, uses artificial intelligence and machine learning to spot anomalies and predict issues, and presents real-time dashboards and actionable insights to prevent outages and optimize operations. Unlike narrowly focused monitoring tools, LogicMonitor covers a wide range of assets and scales quickly across large, global deployments. Its goal is to keep systems healthy and IT teams productive by delivering visibility, predictive analytics, and automated alerts as the environment grows.

Company Size

1,001-5,000

Company Stage

Debt Financing

Total Funding

$943M

Headquarters

Santa Barbara, California

Founded

2007

Get referred to LogicMonitor

See people who can refer or advise you

Simplify's Take

What believers are saying

May 2026 Forrester TEI claimed 313% ROI and six-month payback for Edwin AI.
LogicMonitor said Edwin AI drove one-third of new bookings and 200% annual growth.
APAC expansion accelerated in 2026 with Chillisoft, Climb, and a New Zealand data center.

What critics are saying

Datadog, Dynatrace, and Splunk now sell adjacent AIOps suites, compressing LogicMonitor's differentiation.
Catchpoint integration creates platform complexity; delayed fusion risks customer churn during 2026.
If autonomous remediation misfires in federal or enterprise environments, LogicMonitor loses trust fast.

What makes LogicMonitor unique

Catchpoint gives LogicMonitor internet, DNS, and real-user visibility beyond infrastructure monitoring.
Edwin AI ingests two trillion daily metrics, turning telemetry into automated remediation.
Agentless discovery covers servers, cloud services, IoT, and shadow IT across hybrid estates.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
401(k) Company Match
Parental Leave
Wellness Program
Unlimited Paid Time Off
Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

2 year growth

iTWire

Oct 20th, 2026

LogicMonitor appoints Garry Gray as vice president for Australia and New Zealand.

LogicMonitor appoints Garry Gray as vice president for Australia and New Zealand. LogicMonitor, has appointed Garry Gray as vice president for Australia and New Zealand (ANZ) to lead the company's next phase of growth across the region. Gray will lead LogicMonitor's ANZ business, with responsibility for driving its go-to-market strategy, expanding customer relationships and strengthening its partner ecosystem. He will also focus on developing the ANZ team and bringing LogicMonitor's direct and partner-led strategies together to support enterprise and commercial growth. Gray brings more than 30 years of experience in the technology industry across direct sales, partner ecosystems and senior commercial leadership. Most recently, he led cloud and co-creation across Asia Pacific for Red Hat, working across cloud growth, partnerships and new routes to market. He previously led ecosystem strategy for Red Hat in ANZ, where he focused on strengthening partner relationships and driving business growth. His broader experience spans enterprise sales, cloud, managed services, business development and ecosystem leadership. Across these roles, Gray has built high-performing teams, developed new routes to market and aligned direct sales and partner strategies around shared commercial goals. "Garry brings a strong combination of enterprise and commercial leadership, direct and indirect go-to-market experience and deep knowledge of cloud and partner ecosystems," said Dave Patnaik, Vice President, APAC, LogicMonitor. "Sustainable growth rarely comes from a single route to market. It takes strong direct execution, the right ecosystem, deep customer relationships and teams aligned around shared outcomes. Garry understands how to bring those elements together. He has a strong focus on developing talent and driving high performance, with a leadership style grounded in trust, accountability and customer outcomes. "I'm excited to have Garry join LogicMonitor and look forward to seeing what he and the ANZ team achieve together." Garry joins LogicMonitor as the company advances its strategy for Autonomous IT, helping enterprises move from reactive IT operations towards AI-led workflows. Edwin AI, LogicMonitor's AI operating layer, serves as the front door to IT operations and the primary operating interface for AI-led workflows, supported by the LogicMonitor platform's telemetry, context, automation and governance. "LogicMonitor has a significant opportunity in ANZ as organisations look for better ways to manage increasingly demanding IT environments and move towards more intelligent operations," said Garry Gray, Vice President, Australia and New Zealand, LogicMonitor. "Sustainable growth comes from understanding what customers need, building strong partner relationships and giving teams the clarity and support to execute. I'm looking forward to working with the ANZ team, our partners and our customers to build on LogicMonitor's momentum and grow the business across the region." Gray's appointment strengthens LogicMonitor's leadership in ANZ as the company continues to invest in its partners and customers to support regional growth.

TechDay

Oct 20th, 2026

LogicMonitor appoints Garry Gray as ANZ vice president.

LogicMonitor appoints Garry Gray as ANZ vice president. Tue, 20th Oct 2026 (Today) LogicMonitor has appointed Garry Gray as Vice President for Australia and New Zealand, expanding its regional leadership team. Gray will lead the business across Australia and New Zealand, with responsibility for go-to-market plans, customer relationships and the partner network. He will also oversee the local team and work across direct and partner-led sales as LogicMonitor pursues further growth in the region. He joins with more than 30 years of experience in the technology sector. Most recently, Gray worked at Red Hat, where he led cloud and co-creation across Asia Pacific and previously ran ecosystem strategy in Australia and New Zealand. His background also spans enterprise sales, cloud, managed services, business development and partner leadership. That experience will be applied to aligning direct sales and partner activity around shared commercial goals in the local market. The appointment comes as LogicMonitor continues to build out its operations in Australia and New Zealand. The company positions the region as part of its wider push around what it calls Autonomous IT, a strategy aimed at shifting IT teams from reactive operations to AI-led workflows. That strategy includes Edwin AI, which LogicMonitor describes as an operating layer for IT operations. According to the company, the software acts as an interface for AI-led workflows and is supported by telemetry, context, automation and governance tools within its wider platform. Dave Patnaik, Vice President, APAC, said the appointment reflected Gray's mix of commercial and enterprise leadership, direct and indirect go-to-market experience, and knowledge of cloud and partner ecosystems. "Garry brings a strong combination of enterprise and commercial leadership, direct and indirect go-to-market experience and deep knowledge of cloud and partner ecosystems," said Dave Patnaik, Vice President, APAC, LogicMonitor. Patnaik said sustainable growth depended on strong direct execution, the right ecosystem, deep customer relationships and teams aligned around shared outcomes. "Sustainable growth rarely comes from a single route to market. It takes strong direct execution, the right ecosystem, deep customer relationships and teams aligned around shared outcomes. Garry understands how to bring those elements together. He has a strong focus on developing talent and driving high performance, with a leadership style grounded in trust, accountability and customer outcomes. I'm excited to have Garry join LogicMonitor and look forward to seeing what he and the ANZ team achieve together," Patnaik said. Regional focus Australia and New Zealand remain competitive markets for software suppliers targeting large organisations with complex IT estates. Vendors in this segment are responding to growing demand from companies looking to manage infrastructure, cloud services and digital operations through fewer tools and with more automation. For LogicMonitor, Gray's remit spans both customer expansion and partner engagement, suggesting the company sees both channels as central to its regional strategy. His experience at Red Hat, where partnerships have long been a key route to market, may prove relevant as LogicMonitor looks to deepen its position with customers and resellers across the two countries. Gray said the opportunity in the market was tied to increasing pressure on IT teams. "LogicMonitor has a significant opportunity in ANZ as organisations look for better ways to manage increasingly demanding IT environments and move towards more intelligent operations," said Garry Gray, Vice President, Australia and New Zealand, LogicMonitor. He said the company's plans in the region would depend on customer needs, partner relationships and execution by local teams. "Sustainable growth comes from understanding what customers need, building strong partner relationships and giving teams the clarity and support to execute. I'm looking forward to working with the ANZ team, our partners and our customers to build on LogicMonitor's momentum and grow the business across the region," Gray said.

TechNode Global

Oct 15th, 2026

LogicMonitor expands AI-assisted IT operations capabilities in Southeast Asia.

LogicMonitor expands AI-assisted IT operations capabilities in Southeast Asia. LogicMonitor has announced additional capabilities for its Autonomous IT platform, including AI-assisted investigations, broader monitoring data and governance controls. The company said the features are available to customers in Southeast Asia. Its Edwin AI tools are designed to investigate incidents using application and infrastructure telemetry, including logs and cost information, and recommend next steps for IT teams. The company also said Edwin AI can be accessed through tools including Slack, Microsoft Teams and ServiceNow. LogicMonitor outlined a read-only interface intended to let compatible AI clients access monitoring information. It said identity controls, approvals, audit trails and policy controls are part of its governance approach to automating operational workflows. The company presented the updates at its Elevate 2026 event. The announcement does not establish that the platform resolves incidents autonomously under every customer configuration, and the operational impact has not been independently assessed in the release.

TechDay

Oct 15th, 2026

LogicMonitor unveils AI operating model for IT operations.

LogicMonitor unveils AI operating model for IT operations. Thu, 15th Oct 2026 (Today) LogicMonitor has introduced a new IT operating model centred on its Envision platform and Edwin AI, designed to help enterprises move beyond high volumes of alerts. The announcement combines infrastructure monitoring, digital experience data from Catchpoint and AI-driven investigation tools to help IT teams identify and resolve issues with more context. The model is organised around five areas: an enterprise data foundation, unified context, AI for governed action, user experience and governance controls. Together, these are intended to connect telemetry, application and infrastructure data, user impact and workflow tools so teams can move from detecting incidents to deciding on next steps. At the data layer, LogicMonitor is extending support for open standards including OpenTelemetry, along with broader application logs, cost signals and partition-level access controls. The aim is to give IT teams and AI systems a broader set of operational data to analyse across complex environments. Another part of the approach focuses on linking technical events to business services and end users. LogicMonitor's unified context maps infrastructure, applications, services, dependencies and digital experience to help teams determine which incidents matter most and who is affected. Edwin AI sits at the centre of the operating model. It carries out investigations, applies specialist knowledge across network and infrastructure operations, and suggests follow-up steps through approved workflows. Rather than limiting that activity to a single console, Edwin AI will be available in existing workplace tools including Slack, Microsoft Teams, ServiceNow and command-line interfaces, as well as within LogicMonitor's own software. The company has also introduced LogicMonitor MCP for Edwin AI, which gives compatible AI clients read-only access to monitoring context and AI insights, with authentication and permissions governing access. Governance is a prominent element of the rollout. Identity controls, permissions, approvals, audit trails and policy guardrails are intended to let customers increase automation gradually while keeping human oversight in place. LogicMonitor pointed to a major customer deployment at a US federal agency as evidence of commercial traction. According to the company, the business case for that project projected a 182 per cent return on investment over three years, more than 170,000 hours of annual productivity gains, a 70 per cent reduction in downtime impact and a nine-month payback period. Prabhu Nakkeeran, Chief Technology Officer at LogicMonitor, described the shift as incremental rather than immediate. "Autonomous IT is not a switch customers flip overnight. It's a progression from trusted visibility, to better decisions, to governed action. Our AI-first platform gives teams the data and context they need to move forward at their own pace, while keeping people firmly in charge of policies, approvals, and operational risk," Nakkeeran said. Data and context LogicMonitor argues that AI systems used in IT operations need more than isolated metrics or alerts to be useful. By combining logs, cost data, infrastructure signals and digital experience information, it is seeking to create a broader operational picture for automated investigation. Karthik Sj, Chief AI Officer at LogicMonitor, said the company sees value in using AI to narrow down the operational issues with the greatest effect on the business. "AI is most valuable in IT operations when it helps teams understand what matters and take the next step with confidence. Edwin AI combines investigation with specialised expertise for network, infrastructure and the IT workflows that keep the business moving. It brings that expertise into the tools teams already use while keeping people in control of what AI can see, recommend and do. As trust builds, teams can hand more of the work to AI," Sj said. Industry backdrop The launch comes as technology suppliers increasingly argue that observability alone does not solve the operational burden created by sprawling digital estates. Large organisations often face overlapping monitoring systems, fragmented ownership of applications and infrastructure, and a growing volume of machine-generated alerts. That has created a market for tools that can connect technical telemetry with service impact and business risk, while also supporting controlled automation. LogicMonitor frames the next step after visibility as an operating model that can prioritise, investigate and recommend action within defined limits. Shannon Kalvar, Senior Research Director for AIOps at IDC, said, "Agentic operations is the engineering response to the growing complexity inherent in networked digital estates. Moving from visibility to more autonomous operations requires systems that can gather context and make bounded decisions at machine speed, while humans define the desired future state, establish governance and ensure the environment operates as intended."

Yahoo Finance

Oct 14th, 2026

LogicMonitor launches Autonomous IT model with Edwin AI, promising 182% ROI for a US federal agency

LogicMonitor has unveiled a new operating model for IT that aims to move enterprises beyond the alert loop. The company announced it on October 14, 2026, at its annual conference, Elevate 2026. The model builds on LogicMonitor Envision and Edwin AI, with digital experience and internet performance data from Catchpoint. It covers five areas: data foundation, unified context, AI-led governed action, a headless experience that brings Edwin AI into tools such as Slack and Microsoft Teams, and governance controls. LogicMonitor says its largest customer win, a US federal agency, projects a 182% return on investment over three years, a 70% cut in downtime impact, and a nine-month payback period. "Autonomous IT is not a switch customers flip overnight," said chief technology officer Prabhu Nakkeeran.

LogicMonitor

Forward Deployed Engineer

About the job