Endex Logo

Endex

Infrastructure Engineer

Posted 5 Hours Ago
Be an Early Applicant
In-Office
Singapore, SGP
Entry level
In-Office
Singapore, SGP
Entry level
Build and operate Endex’s production infrastructure, including cloud systems, deployment environments, shared services, CI/CD, and infrastructure-as-code workflows. Improve observability through service-level indicators, alerts, and runbooks; strengthen release safety; support developer productivity; and investigate incidents, capacity, performance, and resource efficiency as workloads scale.
The summary above was generated by AI

Who We Are

Endex builds AI agents that handle complex, end-to-end work for the world's most demanding teams. Today we're deployed across leading financial institutions and Fortune 500 companies, embedded in the tools and workflows they rely on. We operate at the frontier of agentic knowledge work, partnering closely with top AI research labs and backed by the OpenAI Startup Fund. We're on a mission to build the most capable digital coworker in the world.

About the Role

Location: New York City (Primary), Denver, Chicago, Singapore (APAC), London, San Francisco, Austin, Los Angeles
Commitment: 5 Days In-Person

We're looking for an engineer who can make the systems behind Endex reliable, observable and straightforward for the team to operate.

As an Infrastructure Engineer at Endex, you'll build and maintain the platform our product and agents run on. You'll work with product engineers to improve deployments, service reliability and the developer experience, making sure the infrastructure supports demanding customer workloads as usage grows.

Your Key Responsibilities

  • Build the Production Platform: Maintain cloud infrastructure, deployment environments and shared services for product and agent workloads.

  • Make Reliability Observable: Establish service-level indicators, actionable alerts and runbooks that help engineers diagnose and recover from failures.

  • Improve Release Safety: Build repeatable CI/CD and infrastructure-as-code workflows with tested changes and predictable rollback paths.

  • Support Engineering Velocity: Build tools, environments and documentation that reduce friction in development and production operations.

  • Operate for Scale: Investigate incidents, plan capacity and improve performance and resource efficiency as usage grows.

What We're Looking For

  • Infrastructure Experience: You've built and operated production cloud systems and understand their practical trade-offs.

  • Software Fluency: You can write maintainable automation and tooling rather than relying on manual configuration.

  • Reliability Judgment: You can diagnose failures, prioritize meaningful risks and make systems easier to observe and recover.

  • Developer Mindset: You understand what engineers need from the platform and build clear, usable interfaces and workflows.

  • Production Ownership: You can automate infrastructure, diagnose a distributed-system failure and turn incident learning into a durable improvement.

Nice to Have

  • Experience with infrastructure as code, containers and cloud networking

  • Experience operating AI workloads, distributed job systems or enterprise SaaS

  • Experience with Terraform or comparable infrastructure as code, containers and cloud observability

Full-Time Benefits

  • Health & Dental Insurance

  • Monthly Wellness Stipend

  • 401K Matching

Similar Jobs

An Hour Ago
Hybrid
Senior level
Senior level
Fintech • Financial Services
Leads the design, engineering, automation, governance, and adoption of public cloud storage services, primarily on GCP. Develops hybrid and multi-cloud storage architectures, Terraform-based infrastructure, migration strategies, security standards, and self-service capabilities. Partners with application, platform, security, infrastructure, and vendor teams to modernize storage, optimize performance and costs, improve resiliency, and support disaster recovery. Provides technical leadership, evaluates emerging technologies, establishes enterprise standards, and mentors engineers.
Top Skills: Amazon S3Amazon Web Services (Aws)Ci/CdCohesityDell Technologies Storage PlatformsFilestoreGoogle Cloud Platform (Gcp)Google Cloud Storage (Gcs)KubernetesAzureNetapp OntapPersistent DiskPythonTerraform
3 Days Ago
Hybrid
Mid level
Mid level
Financial Services
Designs, operates, and improves scalable infrastructure platforms with strong focus on reliability, observability, security, performance, and capacity management. Builds monitoring dashboards, analyzes telemetry, resolves complex infrastructure issues, and establishes service objectives. Develops AI-assisted and agentic automation for triage, runbooks, incident summarization, and change validation. Works across cloud and on-premises environments using scripting, infrastructure as code, CI/CD, and enterprise monitoring tools.
Top Skills: .NetAi AgentsAnsibleApacheAWSAzureCi/CdCloudwatchDatadogDynatraceGCPGitGithub CopilotGoGrafanaIhsIisInfrastructure As CodeLinuxPowershellPrometheusPythonShell ScriptingSplunkTerraformTomcatWebsphereWindows
8 Days Ago
Hybrid
Senior level
Senior level
Fintech • Financial Services
Provides technical leadership for enterprise workplace technology platforms, focusing on site reliability, observability, incident management, automation, resilience, and continuous improvement. Designs and tests complex infrastructure solutions, develops Python-based automation, analyzes telemetry, and improves recovery and stability. Supports AI-assisted incident triage, root cause analysis, proactive remediation, and self-healing capabilities. The role also addresses cloud security, secrets management, key rotation, risk controls, and operational standards while mentoring engineers and collaborating across teams.
Top Skills: Agentic AiElasticGenerative AiGrafanaInfrastructure As CodeKubernetesLarge Language ModelsLow-Code/No-Code PlatformsPrometheusPythonRetrieval-Augmented GenerationSplunk

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account