Cloud Native Technologies

Cloud Native Technologies Developer Jobs

22 jobs found

Today

Sr. Machine Learning Engineer

Workday Boulder, CO

Boulder, CO

Today

$163k - $257k/yr Full time Ai Ml Artificial Intelligence Automation

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Job Description

Workday is hiring a Senior Machine Learning Engineer for the AI Model Serving team, responsible for technical leadership on a production platform that powers Workday agents and large-scale machine learning workloads. The role focuses on designing and operating high-throughput systems, improving reliability and performance, and supporting governance and cost controls for AI model serving.

Key Responsibilities

Provide technical leadership by making critical design decisions that improve platform performance, reliability, and scalability.
Design, implement, and maintain large-scale systems that move machine learning models into production.
Author design documents to align teams on new system components and enhancements to existing components.
Evaluate and adopt new technologies available within Workday and across the broader industry.
Troubleshoot, improve, and scale continuous integration software pipelines.
Collaborate with software engineers, machine learning engineers, and data scientists across partner teams.
Respond to alerts and debug production issues to maintain platform health and reliability.
Review pull requests with focus on consistency, performance, readability, and security.
Develop documentation to share knowledge across the engineering organization.

Required Qualifications

6+ years of related experience in software development, with emphasis on building and operating large-scale distributed systems.
Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
Deep hands-on experience deploying and scaling workloads on Kubernetes, with a focus on GPU resource management.
Understanding of optimizing GPU utilization for hosting and tuning smaller open-weight LLMs using modern inference engines (for example, vLLM and SGLang).
Familiarity with GPU memory constraints, serving tuned models such as LoRA, and autoscaling based on hardware metrics.
Deep experience designing, building, and scaling production-grade distributed systems.
Working knowledge of the full software development lifecycle, including coding standards, testing, code reviews, source control, and deployment for complex, high-throughput platforms.
Strong proficiency in Python, including production-level code and building systems using Python-based frameworks.
Familiarity with both large language models and traditional ML models, including serving, scaling, and production monitoring.
Ability to understand operational differences across model types and design abstractions that support both effectively.
Experience designing and maintaining monitoring strategies that provide visibility into system health, performance, and cost.
Excellent written and verbal communication skills, including producing clear design documents and articulating complex technical ideas to build consensus.
Collaborative mindset, including experience mentoring engineers and fostering an inclusive team environment.

Technologies

Ray Serve
Kubernetes
GPU
vLLM
SGLang
LoRA
Python
Continuous integration

About the Team

The AI Model Serving team is the engine behind every production Workday agent and machine learning use case.
Owns services that power all production AI workloads.
Acts as the gateway to vendor-hosted LLMs including GCP, AWS Bedrock, and Gemini, while also serving and scaling Workday-hosted internal models.
Hosts thousands of traditional ML models across sharded Ray Serve clusters and maintains Workday’s production model registry.
Supports approximately 2,000 requests per second, with peaks above 10,000 RPS in the largest clusters.
Scaling architecture supports upgrading systems to support 20+ new AI agents as they enter production.
Open-weight LLM hosting includes infrastructure for hosting and tuning open-source LLMs within Workday’s stack.
Focuses on performance and reliability by driving down core latency while maintaining stability.
Implements enterprise governance by hardening a unified vendor interface and adding advanced cost-governance controls.

About the Role

As a Senior Machine Learning Engineer on the AI Model Serving team, you will shape the platform’s vision and direction while driving outcomes through critical design decisions. Your work will influence Workday’s ability to serve AI at scale, covering traditional ML models through to the latest large language models that power Workday’s agents.

Location and Compensation

Location: Boulder, CO (hybrid)
Salary Range: USD 163,000 - 257,400 per year
Workday Pay Transparency Statement (Primary Location): USA.CO.Boulder, base pay range $171,600 - $257,400
Additional US Locations (Base Pay Range): $163,000 - $288,000
Total Compensation Note: May be eligible for a Workday Bonus Plan or role-specific commission/bonus and annual refresh stock grants

Flexible Work

With Flex Work, spend at least half (50%) of your time each quarter in the office or in the field with customers, prospects, and partners (depending on role).

Application Deadline

The application deadline for this role is the same as the posting end date: 10/30/2026.

Equal Opportunity and Accommodations

Workday considers qualified applicants with arrest and conviction records pursuant to applicable Fair Chance law.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
Reasonable accommodations are available during the application process.
If you need a reasonable accommodation, email accommodations@workday.com as far in advance as possible.

Workday Careers Policy

Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Workday will never ask candidates to pay a recruiting fee or pay for consulting or coaching services to apply for a job.

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Today

Software Engineer -- Aerospace & Defense

EO Solutions Las Vegas, NV

Las Vegas, NV

Today

Full time Backend Developer Aerospace & Defense Sales Application Security

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Job Description

EO Solutions is hiring a Software Engineer to build mission-critical software supporting Space Domain Awareness (SDA) systems in Las Vegas, NV. The role is hands-on across the development lifecycle, combining algorithm work with backend and front-end engineering, and deploying solutions across cloud, on-premise, and edge environments.

In this position, you will collaborate closely with engineers, scientists, and field operators to translate mission needs into production-ready capabilities that are observable, testable, and maintainable.

Role Summary

Develop and implement mission-critical software for SDA systems, spanning backend/front-end development, algorithm development, and infrastructure automation.
Build and deploy containerized applications across cloud, on-premise, and edge computing environments.

Responsibilities

Develop and implement innovative algorithms for tracking, image processing, and data fusion.
Design and build robust software systems for sensor control and mission operations.
Prototype and deploy containerized applications to cloud, on-premise, and edge environments.
Collaborate with engineers, scientists, and field operators to translate mission needs into working software.
Write and maintain high-quality, well-tested, and observable code with clear documentation.
Participate in architecture planning, technical discussions, and code reviews to support a scalable codebase.
Contribute to requirement gathering and refinement with cross-disciplinary stakeholders.
Operate with self-sufficiency and ownership, managing time and priorities with minimal oversight.

Requirements

3+ years of professional software engineering experience using Python, C, or C++, and Java.
Strong communication skills and the ability to collaborate in a technical, multidisciplinary environment.
Experience developing in both cloud-based and self-hosted (on-premise/edge) environments.
Proficiency with Docker and Kubernetes for containerization and orchestration.
Familiarity with distributed systems and messaging technologies such as Kafka, NATS, and RabbitMQ.
Experience with both SQL and NoSQL database design and usage.
Ability to balance rapid prototyping and production-grade development with sound engineering judgment.
Solid understanding of software architecture, design patterns, and engineering best practices.
Bachelor’s or Master’s degree in Computer Science or a related technical field from a U.S. institution.
U.S. Citizenship and ability to obtain a DoD Secret Security Clearance.

Technologies

Python, C, C++, Java
Docker, Kubernetes
Kafka, NATS, RabbitMQ
SQL, NoSQL

Benefits

401(k) Matching
Healthcare
HSA
Life Insurance
Paid Time Off (PTO)
Relocation Assistance
Tuition Reimbursement

Preferred Qualifications

Experience working with real-world sensor systems (cameras, telescopes, RF sensors).
Familiarity with astrodynamics, orbital mechanics, or Space Domain Awareness (SDA).
Exposure to DevOps practices, CI/CD pipelines, and test automation.
Background in research prototyping, defense systems, or mission-critical deployments.

Why Join EO Solutions

Work on innovative space technologies with the opportunity to make a meaningful impact.
Join a collaborative, supportive environment that values growth, creativity, and well-being.

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Today

Senior Software Engineer - AI & Agentic Architecture

Sony Interactive Entertainment Aliso Viejo, CA

Aliso Viejo, CA

Today

$177k - $266k/yr Full time Backend Developer Senior Agentic Ai

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Job Description

Work as a senior individual contributor designing and shipping production agentic systems, developer tooling, and reusable platform capabilities.

Responsibilities

Design, build, and operate production-quality agentic applications using agentic SDKs/harnesses, including multi-agent orchestration, subagent delegation, tool integration, and lifecycle hooks
Define Model Context Protocol (MCP) tool and resource interfaces to provide coding agents/harnesses safe, reliable access to backend systems and enterprise data
Engineer prompts for reliable structured output using JSON schemas, few-shot examples, and validation/retry loops; build evaluation frameworks to improve output quality
Manage context across long documents, multi-turn conversations, and multi-agent handoffs; design escalation and human-in-the-loop patterns for production reliability
Configure and extend Codex/Claude Code for team-wide use, including AGENTS.md/CLAUDE.md hierarchies, custom slash commands, Agent Skills, path-specific rules, and plan mode
Integrate agentic development into CI/CD pipelines for automated code review, test generation, and PR feedback, with tuning to minimize false positives and duplicate findings
Build and maintain MCP server integrations (project- and user-scoped) that extend agent-native development capabilities across engineering workflows
Identify high-value opportunities for AI-assisted development and create reusable capabilities that multiple teams can adopt
Partner with engineering teams to understand workflows, pain points, and opportunities through hands-on discovery
Rapidly prototype and validate new AI capabilities with real users, then transition successful prototypes into secure, observable, maintainable production systems
Own the full lifecycle: implementation, testing, deployment, monitoring, and iteration
Provide hands-on technical leadership via architecture discussions, code reviews, and troubleshooting of agentic systems
Mentor engineers on agentic design patterns, prompt engineering, and agent-native development practices
Communicate tradeoffs, risks, and results clearly to technical and non-technical stakeholders
Contribute to engineering standards, reusable patterns, and documentation to help other teams build with agentic development tools

Requirements

6+ years of professional software engineering experience, including substantial hands-on work building and operating AI/LLM-powered or agentic applications
Strong programming skills in Java, Python, Go, Rust, or C++ and solid engineering fundamentals (API design, testing, debugging, code review, maintainable code)
Production-grade experience with agentic SDKs/harnesses, MCP, and LLMs including tool use, orchestration, RAG, context management, structured output, and evaluation
Experience designing MCP tool/resource interfaces, including tool selection reasoning, error handling, and reliability in multi-agent systems
Proven experience integrating AI into CI/CD and developer workflows
Ability to work in ambiguous problem spaces and make pragmatic engineering decisions after evaluating tradeoffs
Strong written and verbal communication skills, with experience mentoring and leading through influence

Technologies

Java, Python, Go, Rust, C++
Model Context Protocol (MCP)
Codex/Claude Code, AGENTS.md, CLAUDE.md
JSON schemas
CI/CD
RAG, LLMs
AWS, Docker, Kubernetes, Terraform, GitOps
Vector databases, embeddings

Benefits

Medical, dental, vision
Matching 401(k)
Paid time off
Wellness program
Employee discounts for Sony products
Eligible for a bonus package

Preferred Qualifications

Expertise across agentic architecture, MCP integration, Codex/Claude Code configuration, prompt engineering, and context management
Experience building multi-agent research or customer support systems, or structured data extraction pipelines
Experience with AWS, Docker, Kubernetes, Terraform, and GitOps for AI/agentic infrastructure
Familiarity with vector databases, embeddings, and AI evaluation frameworks
Contributions to open-source projects involving AI, agentic systems, or developer tooling
Strong systems thinking across models, agents, tools, context, APIs, data, and infrastructure, including reasoning about dependencies and tradeoffs
Track record of quickly adapting to new AI tools, models, and frameworks

Location

Aliso Viejo, CA, United States (onsite)
United States, Aliso Viejo, CA

Compensation

USD 177,300 - 265,900 per year
Base pay range: $177,300 - $265,900 USD

Job ID

R-125588

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Today

Principal Software Engineer

Dimensional Fund Advisors Austin, TX

Austin, TX

Today

Full time Backend Developer Senior APIs

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Job Description

Dimensional Fund Advisors is hiring a Principal Full-Stack Engineer on its Platform Engineering Team. This hybrid role in Austin, TX focuses on building and supporting platform capabilities spanning infrastructure, data, applications, and security. You will lead technical execution, mature engineering practices, and help integrate platform services with systems already in use, including ServiceNow.

What you’ll do

Design, develop, document, test, and support technology services that power the platform
Deliver solutions that align with customer needs by collaborating with business analysts, product owners, subject matter experts, and project managers
Lead engineering and design efforts, driving architecture patterns that improve how the platform is built and operated
Contribute to design reviews to ensure modern, secure, scalable, best-practice development and operations, including approaches such as everything as code and zero-trust
Critique and approve code changes, and mentor junior engineers to raise the team’s engineering and security standards
Build and enhance CI/CD pipelines, improve development practices, and create supportable solutions
Write unit and integration tests, contribute to the engineering wiki, and produce detailed documentation
Integrate platform services with ServiceNow and provide technical troubleshooting and production support
Partner with subject matter experts to help developers, business users, and clients succeed
Stay current with emerging technologies and collaborate with technical product owners to define a service roadmap

What you bring

10+ years of programming experience in Python (open source) or equivalent experience
5+ years supervising other developers, including reviewing and approving code changes through standard SDLC processes
Experience with automated acceptance testing and the ability to write unit-tested, maintainable code
Proficiency building RESTful APIs and web services
Strong understanding of cyber security risks and demonstrated ability to design and build highly secure applications
Proven experience delivering value and innovation through CI/CD
Knowledge of best practices for IT operations in an always-up, always-available service environment
Experience working in Agile/Scrum with a software development and integration focus
Education: Bachelor’s degree in engineering, math, computer science, or a related field (or equivalent work experience)

Technologies you may work with

Python, RESTful APIs, CI/CD, ServiceNow, Kafka, GitHub, GitHub Actions, Team City, Airflow, PostrgeSQL, Ansible, SQS, Redis, Docker, Kubernetes, Okta, OAuth2, PlainID, ELK, Grafana, Agile/Scrum, SDLC

How you work

Open-minded, curious, and resourceful
Lead with vision and purpose to drive transformational change
Stay current with modern technologies and solutions
Solve problems systematically and transparently, and collaborate to design and deliver
Bring an engineering and security mindset

Preferred competencies

Site Reliability Engineering
Financial services industry knowledge or experience
Experience with message streaming systems such as Kafka
Experience with build pipelines including GitHub Actions and Team City
Experience with Airflow, PostrgeSQL, Ansible
Experience with messaging and queuing systems such as SQS
Experience with Redis
Experience with containerization and orchestration such as Docker and Kubernetes
Experience with Okta, OAuth2, PlainID
Experience with monitoring and alerting such as ELK and Grafana
Experience with ServiceNow

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Today

Sr. Software Engineer - Sensor - Cloud Runtime Protection

CrowdStrike Sunnyvale, CA

Sunnyvale, CA

Today

$164k - $295k/yr Full time Senior Cloud Native Cloud Native Technologies

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Job Description

As a Senior Software Engineer on the Cloud Runtime Protection team, you will help build the core Falcon lightweight sensor. The role centers on designing and implementing high-performance Linux security components, including eBPF, to support visibility, detection, and prevention for cloud-native and AI/ML workloads.

Responsibilities

Build comprehensive runtime security solutions for Cloud and AI workloads deployed at scale
Design and develop highly scalable and highly performant Linux system software components for security
Maintain reliability and performance through monitoring, testing, and debugging; debug product issues identified through test or customer cases to determine root cause and apply learnings to improve tests
Collaborate with engineers to uphold a culture of high product quality and excellence; partner with cross-functional teams to integrate sensor and cloud solutions
Partner with product and release management to manage risk, improve quality, and streamline release cycles
Participate in code reviews and provide technical guidance to team members
Contribute to engineering best practices, including secure coding, testing paradigms, debugging, performance measurement, code reviews, CI/CD, and OS internals, to support fast and reliable sensor code
Lead strategic technical initiatives focused on security for AI workloads, VMs, containers, and orchestrators across multiple public and private cloud environments
Complete other projects as assigned

Requirements

10+ years of experience building product features on Linux or Unix in C/C++, with strong multi-threading for high concurrency
10+ years of experience building product features on Linux or Unix in C/C++, with strong expectations for high reliability
10+ years of experience building product features on Linux or Unix in C/C++, with detailed requirements on low-level operating characteristics (memory usage, efficient performance, correct conformance to external standards)
Bachelor Degree or higher in Computer Science, Computer Engineering, or an equivalent technical field
Experience developing Linux kernel modules
Experience developing production eBPF code for security or networking
Experience programming cloud-native workloads using public cloud platforms, private cloud platforms, and container technologies (including Kubernetes and Docker)
Experience designing and developing in Windows is a plus
Experience working with hypervisors and virtualization technologies is a plus
Experience working on a team to ship major features and releases
Ability to communicate, collaborate, and work effectively in a distributed team
Proven experience using AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes

Technologies

eBPF
Linux
Unix
C/C++
Linux kernel modules
Kubernetes
Docker
CI/CD
Windows
Hypervisors
Virtualization technologies
AI technologies

Role Details

This is a Software Development Engineer position on the Cloud Runtime Protection team focused on building the lightweight sensor at the core of the CrowdStrike Falcon platform. The role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.

Location: Sunnyvale, CA (hybrid)

Compensation

Salary Range: USD 164,000 to 295,000 per year

Benefits

Market-leading compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world-class amenities
Great Place to Work Certified® across the globe

Benefits of Working at CrowdStrike

Great Place to Work Certified™ across the globe
CrowdStrike participates in the E-Verify program
For detailed information about the U.S. benefits package, click here

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1d ago

Staff Machine Learning Engineer

Integral Ad Science, Inc. New York, NY

New York, NY

1d ago

$135k - $232k/yr Full time Application Security Artificial Intelligence Automation

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Job Description

Integral Ad Science, Inc. is hiring a Staff Machine Learning Engineer to help lead the Data Science Team’s core AI/ML services. This onsite role in New York, NY focuses on building and scaling large-scale machine learning systems and infrastructure, from distributed deep learning platforms to production CI/CD pipelines. You’ll have the opportunity to shape technical direction, mentor engineers, and translate business goals into reliable technical implementations.

Compensation: $135,100 - $231,600 per year (Primary Location: US - New York, NY). Additional locations include USA - Remote with a pay range of $119,000 - $204,000 per year.

What you’ll do

Set the architectural vision and drive system design for core AI/ML-based services.
Serve as the technical lead for complex, multi-quarter initiatives, from inception through global deployment.
Design and build large-scale deep learning infrastructure for distributed model training, prioritizing low latency and high availability at enterprise scale.
Partner with Product Management, Core Engineering, and executive stakeholders to align ML capabilities with business strategy.
Convert abstract product needs into concrete technical designs.
Mentor and guide senior and mid-level data scientists and engineers.
Establish standard methodologies, define code quality expectations, and lead architecture design reviews.
Work with large-scale AI training infrastructure components including accelerators, network fabrics, CUDA, NCCL, and RDMA, plus big data ecosystems such as Databricks, Spark, Kubernetes, Kafka, and Prometheus.
Design, develop, and support robust CI/CD pipelines for AI/ML services, ensuring models move from research to production endpoints.

What you bring

A PhD/Master’s degree in a technical field such as computer science, mathematics, statistics, or equivalent years of experience.
7+ years of machine learning experience in industry, with a track record operating at Lead, Principal, or Staff level.
Deep expertise in designing complex machine learning systems, ranking infrastructures, and data pipelines capable of massive throughput.
Production-hardened experience with frameworks such as PyTorch, JAX, or TensorFlow.
Strong production-grade programming skills in Python, Go, Java, or C++, plus a solid understanding of software design principles and algorithms.
Ability to thrive in ambiguity, take on large unstructured problems, and independently drive them to technical resolutions.
A strong history of collaborating with, elevating, and mentoring engineering talent.

Tools you’ll work with

PyTorch, JAX, TensorFlow, Python, Go, Java, C++, CUDA, NCCL, RDMA, Databricks, Spark, Kubernetes, Kafka, Prometheus

Compensation and benefits

Paid time off
Health insurance (medical, dental, vision)
PPO, HSA and FSA options
401k with employer matching contributions
Competitive compensation
Eligible for an annual bonus and/or other incentive plans

Additional information

Attention Agency/3rd Party Recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com.

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1d ago

Software Developer

IDR Inc. New York, NY

New York, NY

1d ago

$60 - $70/hr Full time Backend Developer .NET CI/CD

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Job Description

IDR, Inc. is seeking a Software Developer for a hybrid role in New York, NY. This position supports a financial services firm as it migrates from a legacy environment to a modern, cloud-native platform, with work centered on Rust deployed on AWS.

Role Summary

You will help develop and modernize production systems in a regulated financial services context. The work emphasizes cloud-native distributed services, reliable operations, and disciplined engineering practices across the full software lifecycle.

Responsibilities

Develop and enhance cloud-native distributed systems on AWS in a production environment.
Partner with cross-functional teams to design, build, and modernize platforms, including migration initiatives.
Build scalable, high-performance services with a focus on reliability, security, and operational excellence.
Contribute across the full lifecycle, from planning to deployment and maintenance.
Participate in code reviews, automated testing, and infrastructure-as-code practices to ensure high-quality delivery.

Requirements

5+ years of backend/software engineering experience, including building cloud-native distributed systems on AWS in production environments.
2+ years of hands-on Rust experience, or demonstrable production-grade Rust project work, including async/concurrency and performance tuning.
Strong background in C#/.NET and microservices and service-oriented architectures, including experience migrating or modernizing legacy/.NET platforms.
Deep knowledge of AWS core services and cloud patterns, including networking/VPC, IAM/security, and compute/containerization, as well as monitoring/logging.
Proven ability to design and build greenfield platforms in a regulated environment, including new services, data contracts, CI/CD standards, and operational readiness.

Technologies

AWS
Rust
C#
.NET
Microservices and service-oriented architectures
Infrastructure-as-code
Networking/VPC
IAM and security
Compute/containerization
Monitoring/logging
CI/CD

Compensation

USD 60 - 70 per hour.

Benefits

Competitive compensation package
Full Benefits: Medical, Vision, Dental, and more
Opportunity to get in with an industry leading organization

Why Work With IDR, Inc.

25+ Years of proven industry experience in 4 major markets
Employee Stock Ownership Program
Dedicated Engagement Manager committed to your success
Medical, Dental, Vision, and Life Insurance
ClearlyRated's Best of Staffing® Client and Talent Award winner 12 years in a row