Staff Software Engineer, Kubernetes Cloud Job at Illumio (Sunnyvale)

Senior Staff Engineer Software (Cloud Platform, Production & Reliability – Machine Identity Security)

The Production Engineering team is responsible for building, scaling, and operat...

Location

United States , Santa Clara

Salary:

126000.00 - 203500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

5+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering (SRE)
Strong experience designing and operating cloud infrastructure on AWS, Azure, or GCP
Deep expertise managing and scaling Kubernetes environments (EKS, AKS, or GKE)
Strong experience with Infrastructure as Code tools (Terraform, Ansible, or Pulumi)
Proven experience designing and maintaining complex CI/CD systems (Jenkins, GitLab CI, ArgoCD, GitHub Actions)
Strong programming/scripting skills (Python, Go, or similar) for automation and tooling
Experience operating in high-scale, 24/7 production environments with ownership of incident response and reliability
Solid understanding of Linux systems and networking fundamentals (DNS, TCP/IP, load balancing, VPC, mTLS)
Strong problem-solving skills and ability to work across teams

Job Responsibility

Design, build, and evolve highly available cloud infrastructure platforms with a focus on scalability, resilience, and reliability
Lead improvements across production systems, including performance, availability, and incident response
Drive and standardize Infrastructure as Code (IaC) practices to improve consistency and reduce operational overhead
Design and optimize CI/CD pipelines to support fast, secure, and reliable software delivery at scale
Partner with development teams to improve system reliability, observability, and cloud-native design patterns
Define and implement monitoring, alerting, and observability strategies across distributed systems
Lead incident response efforts, including root cause analysis and long-term remediation strategies
Identify and eliminate operational toil through automation and system improvements
Mentor engineers and contribute to raising the bar for production engineering practices

What we offer

restricted stock units
bonus

Fulltime

Staff Software Engineer, Cloud Infrastructure

The Airwallex Cloud Infrastructure team is a group of highly skilled, innovative...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

8+ years working with large, distributed systems
Solid understanding of RESTful API design principles and patterns
Deep experience with public cloud (GCP, AWS, or Azure), Infrastructure as Code, and Kubernetes
Experience with Istio service mesh
Ability to write services in Golang(preferred) or Python
Bachelor’s degree (or higher) in Computer Science or similar field
Strong security skills and hands-on experience with security best practices
Strong communication and collaboration skills

Job Responsibility

Create and maintain a cutting-edge, secure, and scalable infrastructure that supports our cross-border payment solutions
Build and run the cloud systems that keep Airwallex fast, safe, and always available
Make our systems secure, reliable, and easy for our engineers to use
Help us scale—globally
Automate everything
Work with awesome teammates in engineering, product, and security

Fulltime

Sr. Staff Engineer Software (Strata Cloud Control Plane)

Help build what is next. Our Cloud Management Platform is a public cloud deliver...

Location

United States , Santa Clara

Salary:

126000.00 - 204500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

5+ years of experience in building large enterprise applications
Proven ability to lead and collaborate with many cross-functional teams with an emphasis on end-to-end delivery
Experience in the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, peer review, and operations
Excellent programming skills in GoLang is a must
Strong fundamentals in object oriented design and development is a must
Experience with Test Driven Development and Continuous Integration is required
Experience developing microservice based solutions on public cloud infrastructure is highly desirable
Experience building data management solutions using transactional data stores is required
MS/BS in Computer Science or equivalent

Job Responsibility

Conceptualize, Collaborate and Develop highly scalable cloud control plane for managing services at scale in hybrid deployments
Hands-on participation in developing next generation configuration management architecture
Technical leadership and end-to-end delivery of solutions in collaboration with cross-functional product management, development and quality assurance teams in a fast paced environment
Deliberate and build frameworks to improve quality of micro services
Work with Devops and Technical Support teams to investigate and resolve critical customer defects
Recruit and Mentor new team members

What we offer

Restricted stock units and a bonus
Employee benefits described via hyperlink

Fulltime

Senior Staff Software Engineer (Impala Performance Engineer)

At Cloudera, we empower people to transform complex data into clear and actionab...

Location

Salary:

Not provided

Cloudera

Expiration Date

Until further notice

Requirements

8+ years of industry experience in performance related work ideally on large scale distributed systems
Understanding of DBMS algorithms and data structure fundamentals
Understanding of hardware trends and full stack systems performance: CPU, RAM, storage, network, Linux kernel, JVM, distributed systems performance
Deep understanding of performance measurement methodologies and performance analysis tools and techniques
Strong design and coding skills (Java/C++/Golang/Python preferred)
Ability to work in a distributed setting with team members spread across multiple geographies
Demonstrated ability to work on large cross-functional projects, including strong communication skills and a collaborative mindset
Hands-on experience with containerization and Kubernetes
B.S. or M.S. in Computer Science or equivalent experience

Job Responsibility

Work with internal development teams and the open source community to proactively drive performance improvements/optimizations across our data warehouse stack
Work with product managers, developers and the field team to understand performance and scale requirements and customer workload characteristics, and develop benchmarks and related performance analysis tooling based on these requirements
Analyze performance and scalability characteristics to identify bottlenecks in large-scale distributed systems
Perform root cause analysis of performance issues identified by internal testing and from customers and suggest corrective actions
Evaluate performance of competitor systems

What we offer

Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups

Fulltime

Senior Staff Engineer Software

We are seeking a highly motivated Senior Software Engineer to lead and grow deve...

Location

India , Bengaluru

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
5+ years of experience in backend software development, with a strong track record of designing and delivering scalable, distributed systems
Expertise in Java, Go and/or Python for backend development
Strong understanding of software architecture principles, including microservices, event-driven architecture, and distributed systems patterns
Proven experience with system design, data modeling, and API design (RESTful, gRPC)

Job Responsibility

Lead the design and implementation of significant features and components within complex backend systems and microservices for our Prisma Cloud & Cortex Cloud
Develop and implement high-quality, resilient, and scalable backend services primarily using Go, Java, and Python
Drive technical design discussions and decisions for specific features, ensuring solutions meet with overall architectural vision
Collaborate closely with cross-functional teams, including product management, frontend engineers, security researchers, and SRE, to define, design, and ship new features and platform enhancements
Contribute to defining and promoting best practices for backend development, testing, and deployment within the organization, particularly for cloud-native security solutions
Analyze and resolve complex technical challenges and production issues, ensuring the reliability and performance of Prisma Cloud & Cortex Cloud platforms
Actively participate in code reviews, design reviews, and architectural reviews
Stay up-to-date of emerging technologies and industry trends in cloud and backend development, evaluating and recommending their adoption where appropriate

Fulltime

New

Staff Software Engineer - Search / AI

CVS Health is looking for hands-on, passionate people who want to join a high en...

Location

United States , Work at Home

Salary:

106605.00 USD / Year

CVS Health

Expiration Date

August 28, 2026

Requirements

7+ years of experience in software engineering, including full software development lifecycle (design, development, testing, deployment)
5+ years of experience building enterprise-scale cloud-native applications (GCP, Azure, or AWS)
5+ years of programming skills in any one of the following programming languages: Java, Python, Kotlin, or Go, with an emphasis on backend and API-driven development
3+ years of experience in designing and developing microservices architecture, including service decomposition, API design, and event-driven patterns
2+ years of experience integrating AI/ML solutions, including familiarity with LLMs, RAG architectures, or AI-enabled applications
2+ years of experience designing and implementing distributed systems and microservices at scale, including resiliency, scalability, and fault tolerance
Experience with any search technology such as ElasticSearch/OpenSearch/Solr/Lucene
Experience with CI/CD pipelines and DevOps practices
Experience with containerization and orchestration (Docker, Kubernetes)
Strong understanding of observability, logging, monitoring, and production support

Job Responsibility

Drive enterprise architecture and technical strategy with strong focus on microservices-based design and AI platform engineering
Design and develop highly scalable microservices architectures, including APIs, domain-driven services, and event-driven systems
Lead the development and integration of AI/ML solutions, including LLMs, Retrieval-Augmented Generation (RAG), and agentic frameworks
Develop scalable data platforms and pipelines to support real-time and batch processing across enterprise systems
Enable AI-powered capabilities, including intelligent search, recommendations, and decision-support systems
Lead the development and optimization of search algorithms and systems utilizing technologies such as Elastic/OpenSearch/Solr
Drive adoption of CI/CD, DevOps, and automated testing practices using modern tooling (GitHub, Jenkins, CircleCI, Harness)
Ensure high standards of system reliability, observability, and performance through monitoring and operational excellence
Collaborate with product managers, architects, and business stakeholders to deliver scalable, modular, and intelligent solutions
Lead design reviews, defining best practices for microservices design, API contracts, and service governance, and mentoring engineers

What we offer

Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs
Bonus, commission or short-term incentive program
Equity award program

Fulltime

Staff Software Engineer, Public Sector

Join the team shaping the future of AI at Scale. The Public Sector software engi...

Location

United States , San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC

Salary:

188800.00 - 362000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial.
Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering

Job Responsibility

Create multi-layered guardrails around agents
Optimize data retrieval for agents
Orchestrate fleets of asynchronous agents
Automatically alert users to deviations in data
Illustrating how an agent reached a decision
Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency
Define technical strategy for agentic guardrails, explainability, and fleet orchestration
Ensure system reliability and performance across multiple security classifications and network types
Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance
Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
learning and development stipend
generous PTO
commuter stipend
equity based compensation

Fulltime