Multi Cloud

Multi Cloud Developer Jobs

8 jobs found

12d ago

Principal Software Engineer - Multi-Cloud - Control Plane - Kubernetes

ServiceNow Santa Clara, CA

Santa Clara, CA

12d ago

$255k - $445k/yr Full time Cloud Cloud Infrastructure Cloud Native

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Job Description

ServiceNow is seeking a distinguished Principal Software Engineer to lead technical direction for its cloud-native platform in the areas of Kubernetes, distributed systems, and multi-cloud control-plane design. This hybrid role is based in Santa Clara, CA and sits at the center of the toughest, most ambiguous platform challenges, partnering across senior engineering leaders to set architecture and operational standards at scale.

What you’ll do

Set technical direction for the cloud-native platform across multiple engineering teams and organizations, defining architecture and standards for building and operating Kubernetes, distributed systems, and hyperscaler infrastructure at scale.
Own the hardest, most ambiguous technical problems, including multi-cloud topology, control-plane design, workload isolation, identity and trust fabric, and reliability across hundreds of clusters and dozens of product workloads.
Collaborate with engineering fellows, principal engineers, and other senior technical leaders to align architectural decisions and drive adoption of best practices across the platform ecosystem.
Identify and mitigate major technical risks in initiatives with C-suite visibility, making decisions on managed versus self-managed tradeoffs, substrate portability, and multi-hyperscaler strategy.
Design and build critical platform components where needed, including control planes, operators, infrastructure abstractions, and the systems other teams build on top of.
Mentor staff and principal engineers and help shape the organization’s next generation of technical leadership.

What you bring

Experience leveraging or critically thinking about how to integrate AI into engineering and platform work, including AI-powered tooling, automation of operational workflows, agentic systems for fleet visibility and operations, or reasoning about AI’s impact on infrastructure design and operations.
12+ years of experience designing, building, and operating large-scale distributed systems in production, with deep expertise running Kubernetes at scale (multi-cluster, multi-region, multi-tenant).
Hands-on, authoritative experience across one or more major hyperscalers (AWS, Azure, GCP), including managed Kubernetes offerings (EKS, AKS, GKE) and the networking, IAM, and capacity tradeoffs that come with each.
Proven ability to provide technical leadership across multiple engineering teams, influencing architecture and direction without relying on positional authority.
Deep expertise in modern platform building blocks, including operator/controller patterns, infrastructure-as-code and control planes (such as Crossplane), GitOps-based delivery, container networking (CNI), and service mesh.
Strong programming skills in Go and fluency across the cloud-native ecosystem.

Technologies you’ll work with

Kubernetes, AWS, Azure, GCP
EKS, AKS, GKE
Go, Crossplane
GitOps, CNI, service mesh
SPIFFE, SPIRE, mTLS
Kata Containers
FedRAMP, OCI

Compensation and benefits

Base pay of $254,500 - $445,400, plus equity (when applicable)
Variable/incentive compensation and benefits
Health plans, including flexible spending accounts
401(k) Plan with company match
ESPP
Matching donations
Flexible time away plan
Family leave programs

Location and work model

Santa Clara, CA (hybrid)
Flexible (Hybrid) positions require 2 days per week in a ServiceNow office.
ServiceNow offices include Santa Clara, CA, San Diego, CA, and Kirkland, WA.

Additional helpful experience

Experience designing identity and trust fabrics for distributed systems, including workload identity and mTLS, plus standards such as SPIFFE/SPIRE.
Experience with multi-tenant workload isolation and runtime security, such as Kata Containers and sandboxed runtimes.
Experience building and operating platforms for regulated or federal markets, including FedRAMP, air-gapped or self-hosted distribution, and OCI bundling.
Experience with observability at scale, including metrics, tracing, and SLO-driven operations across a large fleet.
A platform-as-product mindset, treating internal engineering teams as customers and the platform as a product with a roadmap, contracts, and a delivery pipeline.

Work persona and eligibility notes

ServiceNow approaches its distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are assigned based on job requirements and the employee’s assigned work location. ServiceNow may confirm the distance between an employee’s primary residence and the closest ServiceNow office using a third-party service for persona eligibility.

Export control regulations

For positions requiring access to controlled technology subject to export control regulations (including the U.S. Export Administration Regulations, EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval required by relevant export control authorities.

Accommodations

If you require a reasonable accommodation to complete any part of the application process, or are unable to use the online application and need an alternative method to apply, contact globaltalentss@servicenow.com for assistance.

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12d ago

Principal Software Engineer - Multi-Cloud Control Plane - Kubernetes

ServiceNow San Diego, CA

San Diego, CA

12d ago

$255k - $445k/yr Full time Cloud Architecture Cloud Native Cloud Operations

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Job Description

Own high-impact technical direction for ServiceNow’s cloud-native control plane platform across Kubernetes, distributed systems, and hyperscaler infrastructure.

Responsibilities

Set technical direction for the cloud-native platform across multiple engineering teams and organizations, defining architecture and standards for how Kubernetes, distributed systems, and hyperscaler infrastructure are built and operated at scale.
Drive the most difficult and ambiguous platform problems, including multi-cloud topology, control-plane design, workload isolation, identity and trust fabric, and reliability at scale across hundreds of clusters and dozens of product workloads.
Partner with engineering fellows, principal engineers, and other senior technical leaders to align on architectural decisions and adopt best practices across the platform ecosystem.
Identify and reduce the biggest technical risks in key initiatives with C-suite visibility, making calls on managed vs. self-managed tradeoffs, substrate portability, and multi-hyperscaler strategy.
Design and build critical components when needed, including control planes, operators, infrastructure abstractions, and the systems other teams build on.
Mentor staff and principal engineers and shape the next generation of technical leadership.

Requirements

Experience leveraging or critically evaluating how to integrate AI into engineering and platform work, including AI-powered tooling, automation of operational workflows, agentic systems for fleet visibility and operations, and reasoning about AI’s impact on how infrastructure is built and run.
12+ years designing, building, and operating large-scale distributed systems in production, with deep expertise operating Kubernetes at scale (multi-cluster, multi-region, multi-tenant).
Hands-on, authoritative experience across one or more hyperscalers: AWS, Azure, GCP, including managed Kubernetes offerings (EKS, AKS, GKE) and tradeoffs in networking, IAM, and capacity.
Proven track record providing technical leadership across multiple engineering teams, influencing architecture and direction without relying on positional authority.
Deep expertise in platform building blocks, including operator/controller patterns, infrastructure-as-code and control planes (e.g., Crossplane), GitOps-based delivery, container networking (CNI), and service mesh.
Strong programming skills in Go and fluency across the cloud-native ecosystem.

Technologies

Kubernetes
AWS, EKS
Azure, AKS
GCP, GKE
Go
Crossplane
GitOps
CNI
service mesh
SPIFFE, SPIRE
mTLS
Kata Containers

Benefits

Base pay of $254,500 - $445,400 per year, plus equity (when applicable), variable/incentive compensation, and benefits.
Health plans, including flexible spending accounts.
401(k) Plan with company match.
ESPP.
Matching donations.
Flexible time away plan and family leave programs.

Position Details

Location: San Diego, CA (hybrid)
Work model: Flexible (Hybrid)
Flexible positions require 2 days per week in a ServiceNow office.
Offices include Santa Clara, CA; San Diego, CA; and Kirkland, WA.

It Also Helps If You Have

Experience designing identity and trust fabrics for distributed systems, including workload identity, mTLS, and standards such as SPIFFE/SPIRE.
Experience with multi-tenant workload isolation and runtime security (e.g., Kata Containers, sandboxed runtimes).
Experience building and operating platforms for regulated or federal markets (e.g., FedRAMP, air-gapped or self-hosted distribution, OCI bundling).
Experience with observability at scale, including metrics, tracing, and SLO-driven operations across a large fleet.
A platform-as-product mindset, treating internal engineering teams as customers, with the platform managed as a product with a roadmap, contracts, and a delivery pipeline.

Additional Information

Work personas: Flexible, remote, or required in office categories based on employee work and work location. Eligibility may include checking the distance between your primary residence and the closest ServiceNow office using a third-party service.
Accommodations: If you require a reasonable accommodation to complete any part of the application process, or cannot use the online application and need an alternative method, contact globaltalentss@servicenow.com.
Export control regulations: For positions requiring access to controlled technology (including U.S. Export Administration Regulations), ServiceNow may need export control approval for certain individuals. Employment is contingent upon required export licenses or approvals from relevant authorities.

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30d ago

Principal Software Engineer (Cloud Native)

Versant Media Englewood Cliffs, NJ

Englewood Cliffs, NJ

30d ago Closed

$170k - $200k/yr Full time Azure Cloud Cloud Native

This position is no longer accepting applications (closed Aug 28, 2026).

Job Description

Versant Media is seeking a Principal Software Engineer (Cloud Native) to lead architecture modernization, platform initiatives, and cloud-native solutions. This hybrid role in Englewood Cliffs, NJ offers a compensation range of USD 170,000 to 200,000 per year and a chance to influence engineering strategy across teams while delivering high-impact technology programs.

Responsibilities

Architect for Impact: Design and steer modernization efforts for legacy systems, prioritizing speed, scalability, and business value.
Platform Thinking: Evaluate and implement SaaS, low-code/no-code platforms to speed delivery and reduce custom development.
Stakeholder Influence: Collaborate with business, product, and technology leaders to ensure technical solutions align with strategic goals.
Lean Delivery: Embrace rapid prototyping, iterative development, and pragmatic decision-making.
Leadership & Mentorship: Inspire and mentor engineers, fostering a culture of innovation, ownership, and continuous learning.
Cross-Functional Collaboration: Drive alignment across engineering, product, and business teams.
Leadership: Set the technical vision for the engineering organization, partnering with engineering leadership to establish practices, standards, and clear direction that align with long-term objectives.
Operational Excellence: Focus on delivering a high level of customer service, ownership, and a strong quality bar.

Requirements

8+ years of professional software development experience.
Proven expertise in cloud-native architecture (AWS, Azure, GCP), serverless, and event-driven design.
Strong understanding of SaaS platforms and familiarity with low-code/no-code and Gen AI tools.
Demonstrated ability to lead engineering efforts and influence cross-functional teams.
Experience modernizing legacy systems and integrating with modern platforms.
Excellent communication skills across technical and non-technical audiences.
Track record of delivering secure, scalable, and performant systems.

Technologies

AWS, Azure, GCP
Serverless, event-driven design
SaaS platforms, low-code/no-code, Gen AI tools
Kafka, Kinesis, Redis, ElastiCache
SQL databases, NoSQL databases

Benefits

Medical, dental and vision insurance
401(k)
Paid leave
Tuition reimbursement
A variety of other discounts and perks

Why join Versant?

Be part of a founding team shaping the future of a new tech company.
Work on high-impact projects with direct visibility to senior leadership.
Join a culture that values innovation, speed, and purpose-driven engineering.

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with a Versant Media employee at one of our locations prior to a hiring decision.
Versant Media provides equal employment opportunities to all applicants and employees without regard to protected characteristics or status.
If you require accommodation during the application process due to a disability, you may submit a request to candidateaccessibility@versantmedia.com.
Versant Media emphasizes fair and equitable compensation practices, including a good faith pay range aligned with state and local laws; actual compensation is based on skills, qualifications, experience, and location and may include additional benefits.
Versant Media does not accept unsolicited assistance from search firms for this opportunity. Resumes submitted by search firms without a valid Statement of Work will be the property of Versant.

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1mo ago

Lead Data Engineer

Daley and Associates Boston, MA

Boston, MA

1mo ago Closed

Full time Cloud Cloud Platform Data

This position is no longer accepting applications (closed Aug 23, 2026).

Job Description

The Lead Data Engineer will drive data integration, dbt driven modeling in Snowflake, and end-to-end data pipelines for investment data. This on-site role is based in Boston, with presence required three days per week to support the Investment Data Management Office.

Responsibilities

Create and maintain dbt based data models in Snowflake, encoding business logic while aligning with existing architecture and data standards.
Collaborate on and steer dbt project work, emphasizing code quality, documentation, and modular, scalable design patterns.
Architect, build, and administer scalable data pipelines and a robust data warehouse to support reporting, analytics, and operational use cases.
Lead and contribute to development efforts, delivering solutions that meet business requirements aligned with program objectives.
Advance data quality, resiliency, governance, efficiency, and monitoring through continuous improvement.
Diagnose and resolve complex system interactions to identify root causes of problems.
Collaborate with the platform lead to design, develop, implement, and deploy new software components for the investment data platform.
Coordinate with the data architect to evaluate and finalize the unified data model.
Work with the integration architect to upgrade and integrate data ingestion and data delivery tools within the unified data platform.
Upgrade and integrate transformation tools, data validation tools, and orchestration tools to enable data engineering, analytical engineering, and data maintenance capabilities.
Provide on-call support during unexpected outages.

Requirements

Bachelor’s degree in Computer Science or related disciplines.
5-6+ years of experience designing, developing, and building data oriented complex applications.
Minimum of 2-4 years of hands-on progression from SQL to Advanced SQL.
Experience in developing and maintaining data models in dbt (Data Build Tool).
Experience in data integration (ETL/ELT), data warehouse, and data analytics architecture with a solid understanding of design principles; knowledge of Snowflake and other cloud native databases is highly preferred.
Development experience on cloud-based PAAS platforms such as Microsoft Azure, Google GCP, or Amazon AWS.
Strong understanding of Agile SDLC, DevOps, and Cloud technologies, with exposure to multiple technologies, platforms, and processing environments.
Knowledge of architectures and patterns such as unified data management (UDM), data mesh, event-driven architecture, real-time data flows, non-relational repositories, and data virtualization.
Experience building solutions in the financial services domain with an understanding of financial instruments, transactions, and positions is desirable.
Good interpersonal and communication skills with the ability to lead cross-team collaboration across internal and external stakeholders.

Technologies

dbt (Data Build Tool)
Snowflake
Microsoft Azure
Google Cloud Platform
Amazon Web Services

What we are looking for

Bachelor’s degree in Computer Science or related disciplines.
5-6+ years designing, developing, and building data oriented complex applications.
2-4+ years of hands-on experience from SQL to Advanced SQL.
Experience in developing and maintaining data models in dbt (Data Build Tool).
Experience in data integration (ETL/ELT), data warehouse, and data analytics architecture; familiarity with Snowflake and other cloud native databases is highly preferred.
Development experience on cloud-based PAAS platforms such as Microsoft Azure, Google GCP, or Amazon AWS.
Strong understanding of Agile SDLC, DevOps, and cloud technologies, with exposure to diverse technologies and environments.
Knowledge of architectures and patterns including UDM, data mesh, event-driven, real-time data flows, non-relational repositories, and data virtualization.
Experience delivering solutions in the financial services domain with an understanding of financial instruments, transactions, and positions is desired.
Strong interpersonal and communication skills enabling cross-team collaboration with internal and external stakeholders.

Preferred Qualifications

Experience in the asset management industry and investment data domain, with exposure to multi-asset platforms and related data ecosystems.
Understanding of asset management concepts and knowledge of various financial instruments and products including traditional and alternative asset classes.
Industry certifications in Snowflake, dbt, cloud data engineering platforms, data warehousing technologies, or financial markets / investment operations are highly valued.
Interest in emerging AI technologies and how AI driven tools can enhance engineering processes, data quality, operational efficiency, and analytics workflows.
Familiarity with using AI assisted development, automation, or data engineering best practices to boost productivity and continuous improvement efforts.

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1mo ago

Software Engineer (Mid)

Vantor Services Inc. Washington, DC

Washington, DC

1mo ago Closed

$113k - $188k/yr Full time APIs Cloud Compiler

This position is no longer accepting applications (closed Aug 21, 2026).

Job Description

A mid-level software engineer role located onsite in Washington, DC, focusing on designing, building, integrating, and sustaining secure software and data-driven solutions to support mission operations. The position requires U.S. citizenship and an active TS/SCI clearance with CI Polygraph.

Responsibilities

Architect, develop, document, test, and debug applications and systems that rely on logical and mathematical processing.
Perform multidisciplinary research and collaborate with hardware engineers and equipment designers to plan, design, develop, and deploy electronic data processing systems for product and commercial software.
Evaluate user requirements and analyze system capabilities to resolve issues related to program intent, outputs, input data acquisition, and controls; produce operating instructions; contribute to the design and development of compilers, assemblers, utility programs, and operating systems.
Ensure adherence to established software standards.
Leverage cloud platforms, system integration, and database management expertise as part of the development process.
Maintain a strategic mindset, stay current with industry trends, and align engineering goals with business objectives.
Certifications in project management and related technologies are advantageous.

Requirements

Bachelor's degree in Computer Science or a related field, with four to seven years of software development experience.
Strong proficiency across multiple programming languages, software design methodologies, and development tools.
Experience with CI/CD pipelines and automated testing.
Ability to design and implement complex software components with minimal supervision.
Active Top Secret clearance with CI Polygraph.

Technologies

AWS
Azure
GCP

Benefits

401(k) with company match
Mental health resources
Student loan repayment assistance
Adoption reimbursement
Pet insurance

Pay Transparency

The base pay for this position within the Washington, DC metropolitan area is: $113,000.00 - $188,000.00 annually.

EEO Policy

Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

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1mo ago

Database Developer

SOUTHEASTERN COMP CONSULTANTS INC Dahlgren, VA

Dahlgren, VA

1mo ago Closed

Full time Senior Cloud Architecture Data Architecture

This position is no longer accepting applications (closed Aug 11, 2026).

Job Description

This Database Developer role at SCCI centers on designing and implementing a unified enterprise data architecture across a complex system landscape, defining ontology, data standards, and modeling to govern and scale data across the organization. The position is based on site in Dahlgren, VA.

Overview

SCCI seeks a Database Developer to lead the design and implementation of a unified enterprise data architecture across a broad ecosystem of programs and platforms. The role involves defining how data is structured, governed, and scaled, while operating at both strategic and hands-on levels to establish standards, guide implementations, and tackle intricate data integration challenges. This position is based in Dahlgren, Virginia.

Responsibilities

Lead enterprise data ontology development, including core entities, relationships, and semantic standards; create canonical data models that unify disparate systems; establish enterprise data standards, naming conventions, and modeling guidelines; serve as the authoritative source on data structuring and governance.
Design complex logical and physical data models across multiple domains; architect solutions balancing normalization, performance, scalability, and usability; define patterns for structured, semi-structured, and unstructured data; guide teams in implementing consistent, reusable data structures.
Manage cross-system alignment by reconciling conflicting data models, crafting integration strategies for interoperability, defining data contracts and interface schemas between services, and eliminating redundancy and inconsistency across datasets.
Develop frameworks for structuring and integrating unstructured and semi-structured data; specify metadata tagging and classification approaches to support discoverability and governance; evaluate when to leverage relational, NoSQL, or hybrid approaches.
Establish and enforce data governance standards, including data quality, lineage, and validation rules; collaborate with stakeholders to define authoritative sources and master data domains; implement data auditing, traceability, and compliance measures.
Architect high-performance data solutions capable of supporting enterprise-scale workloads; lead performance tuning across databases, queries, and pipelines; design for scalability in cloud and hybrid environments.
Provide technical leadership to database developers and data engineers; review designs and implementations for alignment with enterprise standards; mentor team members in data modeling, database design, and best practices; influence technical direction across multiple teams and programs.
Collaborate with enterprise architects, application developers, and business stakeholders; translate domain needs into scalable data architectures; lead design reviews and communicate complex data concepts clearly.

Essential Skills and Experience

Must be a U.S. citizen and able to obtain and maintain an active Secret Security Clearance.
Bachelor’s degree in Information Systems, Computer Science, Engineering, Math, or a related technical field.
Seven to twelve plus years of experience in database development, data engineering, or data architecture.
Deep expertise in relational database design and advanced SQL.
Proven track record designing enterprise-scale data models and architectures.
Strong experience integrating data across multiple systems and domains.
Demonstrated ability to structure and model unstructured and semi-structured data.
Experience with ETL or ELT pipelines and large-scale data transformation.
Solid understanding of data governance, data quality, and data lifecycle management.

Preferred Skills and Experience

Active Secret Security Clearance.
Experience building or contributing to enterprise data ontologies, semantic layers, or knowledge graphs.
Familiarity with Master Data Management and canonical data modeling approaches.
Experience with cloud data platforms (AWS, Azure, GCP) and modern data stacks.
Knowledge of data cataloging and metadata management tools.
Experience with distributed systems and event-driven architectures.
Programming experience in Python, Java, or similar languages for data processing and automation.

Technologies

Python
Java
AWS
Azure
GCP
Relational databases
NoSQL

Benefits

Health, dental, vision, life and disability benefits
401(k) with Company Match
Paid vacation (2 weeks)
Sick and personal leave (48 hours)
11 paid holidays

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1mo ago

Senior Software Engineer, Cloud Kubernetes Networking

Google Sunnyvale, CA

Sunnyvale, CA

1mo ago Closed

$174k - $253k/yr Full time Application Networking Cloud Cloud Native

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

Google seeks a Senior Software Engineer to advance cloud Kubernetes networking across the GKE and GDC platforms.

Location: Sunnyvale, CA onsite | Salary: USD 174,000 - 253,000 per year

Responsibilities

Lead or contribute to design reviews with peers and stakeholders to choose among competing technologies.
Assess and triage product or system issues, debugging and tracking root causes while evaluating impact on hardware, network, or service operations and quality.
Create and integrate new networking features to support AI and ML workloads on the GDC platforms.
Develop solutions for Container and VM workloads running on Kubernetes platforms.
Architect and implement network connectivity for hybrid and multi cloud environments, covering data plane and control plane components, while assisting external customers with production cluster issues.
Collaborate with open source communities to influence the direction of Kubernetes networking.

Requirements

Bachelor's degree or equivalent practical experience.
At least 5 years of software development experience in Go, C, or Python.
Minimum 5 years in network architectures, protocols such as TCP/IP and BGP, and related technologies.
At least 5 years designing, implementing, and troubleshooting networks.
Minimum 3 years building large-scale infrastructure, distributed systems or networks, or working with compute, storage, or hardware architectures.
Experience with cloud compute platforms such as Kubernetes and Cloud Functions.

Technologies

Go
C
Python
Kubernetes
Cloud Functions
Open vSwitch
eBPF
Linux kernel
iptables
DNS
TCP/IP
BGP
L4/L7 load balancing
cgroups
RTOS
RCU

Benefits

15% bonus target
Equity

About the Job

Google Cloud engineers design and ship next generation technologies that scale to billions of users, enabling them to connect, explore, and interact with information and each other.

Roles focusing on GKE and GDC networking require solid networking expertise and a clear understanding of how networking powers virtualized environments. The team evaluates integration options and open source technologies, builds integrated solutions, and productizes them. Familiarity with Kubernetes networking and exposure to eBPF and Open vSwitch frameworks can help advance networking capabilities.

Google Cloud accelerates digital transformation by delivering enterprise grade solutions, tools, and support to customers across more than 200 countries and territories.

Compensation

US: USD 174,000 - 253,000 per year plus a 15% bonus target, equity, and benefits.

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2mo ago

Mid-Level Software Engineer

Adeptus Solutions, Inc. Remote 🌍 Remote

Remote

2mo ago Closed

$98k - $129k/yr Full time Backend Developer .NET Azure

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