IT Network Engineer - Network AI Automation & Full Stack Infrastructure Job at Valvoline Global

IT Network Engineer - Network AI Automation & Full Stack Infrastructure

We are seeking a highly skilled IT Network Engineer – Network AI Automation & Fu...

Location

Salary:

Not provided

Valvoline

Expiration Date

Until further notice

Requirements

6+ years of enterprise global network engineering experience
Bacehlors Degree in Information Technology, CIS or related field or equivalent experience
Strong experience with routing and switching protocols (BGP, OSPF, VLANs)
Experience with next-generation firewalls and SASE, preferably Palo Alto
Experience with Cisco or Meraki switching and wireless
Cloud networking experience in Azure, AWS, or GCP
Experience supporting global WAN or SD-WAN environments
Familiarity with Aviatrix, Megaport, and observability platforms such as Sumo Logic
Practical experience with network automation (Python, Terraform, Ansible)

Job Responsibility

Engineer and support global enterprise network infrastructure across routing, switching, firewalls, SASE, WAN/SD-WAN, wireless, and proxy services
Troubleshoot complex network issues across multiple infrastructure layers
Support hybrid cloud networking architectures across Azure, AWS, or GCP
Manage and optimize next-generation firewall policies using platforms such as Palo Alto Networks
Support Cisco and Meraki switching and wireless infrastructure
Design and maintain global WAN connectivity, including high-performance cloud connectivity such as Megaport
Support cloud networking solutions leveraging platforms such as Aviatrix
Implement network automation and Infrastructure as Code (IaC) to improve operational efficiency
Leverage observability platforms such as Sumo Logic to improve monitoring and visibility
Contribute to AI-driven network operations and automation initiatives

Fulltime

Senior Full Stack Engineer - Go / React.js

Rapid7’s Metasploit team is building the future of the world’s best-known softwa...

Location

Czechia , Prague

Salary:

Not provided

Rapid7

Expiration Date

Until further notice

Requirements

6+ years of experience in software development using Go, JavaScript, TyperScript and React (Next.js) or equivalent of programming languages
Experience with modern cloud infrastructure (AWS, GCP, or Azure)
Experience with design patterns
Experience with message queues (RabbitMQ, SQS)
Understanding of APIs, interprocess communication, and modern networking and deployment tooling (AWS, Docker)
High level of accountability and ownership
Leading with empathy and strong user focus
Ability to learn and evaluate new technologies quickly
Interest in or experience with offensive security, penetration testing, or SOC analysis
Product driven mindset

Job Responsibility

Develop and enhance AI-powered applications within Metasploit ecosystem
Architect and implement performant, scalable, and reliable solutions that support AI-driven interactions in web development
Collaborate cross-functionally with researchers, engineers and product teams to push the boundaries of AI in cybersecurity
Ensure an exceptional user experience through user-friendly UI/UX
Diagnose and resolve complex issues, ensuring the reliability and performance of AI-powered products
Build tooling and automation to enhance incident response, developer experience, observability, and internal debugging workflows
Champion your teammates' successes, and support each other when needed

Fulltime

Java Full Stack Lead - Vice President

The Production Engineer is a pivotal role within Citi's Technology organisation,...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Demonstrable experience in a critical software engineering or production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent)
Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases
Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production use cases including classification, summarisation, code generation, and autonomous decision-making
Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns
Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps practices
Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
Polyglot full-stack developer mentality and ability to pick up new languages and skills
Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application, and database stacks
Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh (Istio or equivalent) is highly desirable
Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, CloudFormation, Pulumi, etc.) is highly desirable

Job Responsibility

Designs, develops, and maintains production-grade software systems with a strong emphasis on reliability, scalability, and operational excellence across Citi's global technology estate
Architects and implements agentic AI workflows — building autonomous systems that can reason, plan, and act across production environments with minimal human intervention
Applies advanced prompt engineering techniques to integrate large language models (LLMs) into operational tooling, incident response pipelines, and developer productivity platforms
Leads the development of AI-native observability solutions — leveraging intelligent agents to detect anomalies, predict failures, and automate remediation before issues impact end users
Writes clean, well-tested, and well-documented code across the full stack
champions engineering best practices including code review, pair programming, and test-driven development
Drives Continuous Delivery and Automation efforts across supported applications by means of Root Cause Analysis reviews, knowledge management, performance tuning, and user training
Operates and evolves CI/CD pipelines, Infrastructure-as-Code tooling, and GitOps workflows to support rapid, safe delivery of software at scale
Collaborates with platform, data, and product engineering teams to embed AI capabilities into the production lifecycle — from deployment to decommission
Implements the Agile Framework through one of its implementations (SCRUM or Kanban) and ensures it integrates with overall organisation processes

What we offer

Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance

Fulltime

Java Full Stack Lead - Vice President

The Production Engineer is a pivotal role within Citi's Technology organisation,...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Demonstrable experience in a critical software engineering or production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent)
Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases
Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production use cases including classification, summarisation, code generation, and autonomous decision-making
Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns
Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps practices
Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
Polyglot full-stack developer mentality and ability to pick up new languages and skills
Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application, and database stacks
Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh (Istio or equivalent) is highly desirable
Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, CloudFormation, Pulumi, etc.) is highly desirable

Job Responsibility

Designs, develops, and maintains production-grade software systems with a strong emphasis on reliability, scalability, and operational excellence across Citi's global technology estate
Architects and implements agentic AI workflows — building autonomous systems that can reason, plan, and act across production environments with minimal human intervention
Applies advanced prompt engineering techniques to integrate large language models (LLMs) into operational tooling, incident response pipelines, and developer productivity platforms
Leads the development of AI-native observability solutions — leveraging intelligent agents to detect anomalies, predict failures, and automate remediation before issues impact end users
Writes clean, well-tested, and well-documented code across the full stack
champions engineering best practices including code review, pair programming, and test-driven development
Drives Continuous Delivery and Automation efforts across supported applications by means of Root Cause Analysis reviews, knowledge management, performance tuning, and user training
Operates and evolves CI/CD pipelines, Infrastructure-as-Code tooling, and GitOps workflows to support rapid, safe delivery of software at scale
Collaborates with platform, data, and product engineering teams to embed AI capabilities into the production lifecycle — from deployment to decommission
Implements the Agile Framework through one of its implementations (SCRUM or Kanban) and ensures it integrates with overall organisation processes

Fulltime

Senior Lead - Java Full Stack - Senior Vice Presient

The Production Engineer is a pivotal role within Citi's Technology organisation,...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Demonstrable experience in a critical software engineering or production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent)
Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases
Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production use cases including classification, summarisation, code generation, and autonomous decision-making
Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns
Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps practices
Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
Polyglot full-stack developer mentality and ability to pick up new languages and skills
Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application, and database stacks
Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh (Istio or equivalent) is highly desirable
Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, CloudFormation, Pulumi, etc.) is highly desirable

Job Responsibility

Designs, develops, and maintains production-grade software systems with a strong emphasis on reliability, scalability, and operational excellence across Citi's global technology estate
Architects and implements agentic AI workflows — building autonomous systems that can reason, plan, and act across production environments with minimal human intervention
Applies advanced prompt engineering techniques to integrate large language models (LLMs) into operational tooling, incident response pipelines, and developer productivity platforms
Leads the development of AI-native observability solutions — leveraging intelligent agents to detect anomalies, predict failures, and automate remediation before issues impact end users
Writes clean, well-tested, and well-documented code across the full stack
champions engineering best practices including code review, pair programming, and test-driven development
Drives Continuous Delivery and Automation efforts across supported applications by means of Root Cause Analysis reviews, knowledge management, performance tuning, and user training
Operates and evolves CI/CD pipelines, Infrastructure-as-Code tooling, and GitOps workflows to support rapid, safe delivery of software at scale
Collaborates with platform, data, and product engineering teams to embed AI capabilities into the production lifecycle — from deployment to decommission
Implements the Agile Framework through one of its implementations (SCRUM or Kanban) and ensures it integrates with overall organisation processes

Fulltime

Senior Engineer - IT Support

At 8x8, we’re not just building great communications technology - we’re reimagin...

Location

Singapore , Singapore

Salary:

Not provided

8x8

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, or a related field
Must possess relevant experience in IT Support or IT Operations roles
Demonstrated enthusiasm for AI tools and a habit of applying them to real work - not just awareness of them
A mindset of curiosity: you read about what's changing in IT and AI, and you experiment
The ability to work and think independently, be a self-starter, take initiative, and be highly effective with or without detailed work direction is an absolute must
Must be able to work non-traditional work hours as needed (including from home over high-speed Internet (not provided)), and occasional off hours to control interruptions to critical services and minimize business impact
Ability to work in-person at the 8x8 Singapore location full-time (5 days per week) with flexibility to cover any of the 7 days of the week (1 George St, #22-03/04 One George Street, Singapore 049145)
Ability to (potentially frequently) lift and move equipment weighing throughout the office for various business needs
The person in this position needs to occasionally move about inside the office to access and deploy IT equipment to multiple office floors, and within various physical conditions and environments

Job Responsibility

Actively use AI tools (including 8x8's approved platforms: Airia, Google Gemini, Claude) to accelerate your own work - from drafting documentation to triaging incidents and analyzing patterns
Identify and implement AI-driven workflow automation opportunities across IT operations processes
Contribute ideas and build lightweight automations using tools like n8n, BetterCloud, and AI-native integrations to reduce manual toil
Advocate for AI-assisted approaches within the team, sharing what works and helping colleagues build their own AI fluency
Support PCs and Macs, managing laptop builds and lifecycle processes
Own, administer, and continuously improve our endpoint security platform stack - including MDM (mobile device management), BYOD/Work Application Isolation, DLP (data loss prevention), Data Containment, and Zero Trust access controls - serving as the team's primary SME across these domains
Support user onboarding/offboarding and productivity tooling, leveraging automation where possible
Staff our end-user IT Support walk-up desk - real-time triage, assistance, and issue remediation
Act as the primary platform owner for MDM - evaluating, deploying, and administering mobile device management tooling for both corporate-owned and BYOD endpoints across Windows, macOS, iOS, and Android
Own and operate BYOD and Work Application Isolation platforms (e.g. Venn Blue Border, Ivanti/MobileIron), defining policy, onboarding workflows, and data containment boundaries to enable secure access from unmanaged personal devices

Fulltime

Head Of Infrastructure And Ai Systems

Radix is building the most trusted data and analytics platform in multifamily. J...

Location

United States , Scottsdale

Salary:

Not provided

Radix (AZ)

Expiration Date

Until further notice

Requirements

Brings 10 or more years of experience in platform, infrastructure, or systems engineering, with deep exposure to operating complex production systems rather than only building them
Demonstrates deep expertise in AWS core services, along with hands on experience in Azure, including identity federation and cross cloud integration patterns
Possesses production level experience with Kubernetes and strong proficiency in Databricks, including cluster management, scaling, security, Spark tuning, and data governance
Treats infrastructure as code as a default practice, with Terraform preferred, and builds robust observability systems across metrics, tracing, and logging with a proactive mindset
Thinks in systems, maintaining a full stack perspective from DNS through application layers to agent behavior, while identifying risks and anti patterns early
Operates with a strong Day 2 mindset, embedding reliability, operational readiness, and security as core design principles from the outset
Has real world experience integrating AI and LLM systems into production environments, with a deep understanding of agent safety, trust boundaries, observability, and failure modes
Is motivated by the challenge of enabling reliable collaboration between human engineers and AI agents, while staying current on the evolving AI infrastructure landscape
Exhibits curiosity, resilience, and adaptability when navigating ambiguity and working within fast moving, evolving systems
Thrives in high growth startup environments with strong ownership, operating with autonomy and transparency while leading through hands on execution

Job Responsibility

Architect and build the Agent Harness, the system of controls, context, and guardrails that govern how AI agents are deployed, monitored, constrained, and evolved across the platform
Define and enforce operational contracts between human engineers and AI agents, including access boundaries, audit trails, rollback mechanisms, and trust boundaries
Translate desired agent outcomes into concrete infrastructure requirements, including defining what context agents require, what systems they can interact with, and how failures are handled
Own the reliability and observability of agent driven workflows end to end, from initial invocation through downstream system impact
Evaluate, select, and integrate LLM tooling, agent orchestration frameworks, and emerging AI native infrastructure primitives as the ecosystem evolves
Own and operate all cloud infrastructure across AWS as primary and Azure, including compute, networking, storage, security posture, and cross cloud integration patterns
Architect, operate, and continuously improve Kubernetes clusters at production scale, including workload isolation, autoscaling strategies, cost optimization, and multi environment lifecycle management
Own and evolve the Databricks environment, including cluster configuration, job orchestration, access controls, and data governance, while defining clear infrastructure contracts between data engineering and the broader platform
Drive infrastructure as code practices with Terraform preferred and with a strong emphasis on repeatability, auditability, and operational simplicity
Ensure infrastructure is appropriately sized and cost efficient, intentionally architected for current team needs rather than speculative future scale

What we offer

Medical, dental and vision coverage designed to support your wellbeing
Uncapped Paid Time Off
Pre-IPO Equity
Performance Bonus
Learn From the Best
Build Category-Defining Products

Fulltime

Infrastructure Software Engineer

Building cutting-edge model-specific ASICs requires crafting custom infrastructu...

Location

Taiwan , Taipei

Salary:

Not provided

Etched

Expiration Date

Until further notice

Requirements

Are a systems-minded software engineer who loves building foundational platforms, working close to the metal and cloud, solving high-leverage problems at scale
Are a deeply technical engineer who treats infrastructure as a software problem - prioritizing clean abstractions, version control, small change lists, easy roll backs, testing, and long-term maintainability over ad hoc configuration
Have strong programming skills in languages such as Python, Go, Rust, and C++, and are comfortable building production-grade tooling
Have experience manufacturing hardware working with big name firms in Taiwan
Possess expert-level knowledge of Linux, virtualization, containerization, and CI/CD pipelines, with a deep understanding of how to debug, optimize, and scale complex systems
Are familiar with Infrastructure as Code tools like OpenTofu, Ansible, or Puppet, and enjoy designing declarative, reproducible infrastructure systems
Understand and use PromQL and other telemetry/query languages and have used LLM to extract insight from real-time metrics, and know how to architect and tune observability stacks
Have a track record of debugging and resolving difficult hardware-software integration problems across bare-metal systems, networks, and distributed workloads
Can lead and mentor technical teams, guiding design decisions and helping others develop sound engineering instincts
Have 4+ years of experience in infrastructure engineering, systems programming, or backend software development - ideally in environments where performance, scale, or hardware interaction mattered

Job Responsibility

Architect and Scale Distributed Compute Systems: Design and build the orchestration layers that drive our hybrid high-performance clusters—enabling simulation, synthesis, and continuous integration of AI ASICs at unprecedented scale
Build Infrastructure-as-Code Systems: Develop and maintain a fully programmable infrastructure control plane to ensure reproducibility, auditability, and rapid iteration across the entire stack
Optimize End-to-End Developer Experience: Create tools and abstractions that empower engineers to harness massive parallelism without worrying about the underlying complexity
Workload Elasticity, Reliability, and Efficiency: Prototype and execute workload orchestration and migration strategies between on-premise and cloud environments, balancing performance, storage availability and replication, uptime, and cost across heterogeneous hardware and compute backends
Implement real-time telemetry, tracing systems that surface insights from millions of metrics, enabling proactive debugging and system optimization
Push the Limits of Observability: Build a full observability stack that includes dashboards, alerting, automated responses, and a synthetic testing framework to proactively test infrastructure performance and reliability for various application and data flows, ensuring we remain ahead of issues impacting development and productivity workflows
Build an integrated, world-class manufacturing infrastructure: in close collaboration with partners to design, test, and ship the highest-quality AI acceleration hardware

What we offer

Competitive compensation packages including generous equity packages
Comprehensive insurance coverage and other top-of-market benefits

Fulltime

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IT Network Engineer - Network AI Automation & Full Stack Infrastructure

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