Staff Software Engineer - Open Source Server Job at Temporal

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI/ML Platform

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Palo Alto

Salary:

90000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Sr. Staff Software Engineer

Our Senior Staff Engineer leads the architecture and design of the systems that ...

Location

United States , Palo Alto; Chevy Chase; Seattle; Fort Worth

Salary:

120000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Ability to excel in a fast-paced, startup-like environment
Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap
Experience leading and building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
Proven expertise in designing and developing microservices using graphQL and/or gRPC, along with event streaming platforms such as Kafka
Deep understanding of both API and event-driven architectures
Strong understanding of programming language development and developer experience in relation to Domain Specific Languages (DSLs)
Deep hands-on experience in building complex SAAS systems in large scale business focused systems, with great knowledge on Docker and Kubernetes
Fluency and Specialization with Java and/or Kotlin, along with at least one other modern typed language such as Rust, Golang, or C#
You fearlessly refactor and iterate when presented with new and previously unknown information
Deep knowledge of ETL, SQL, bitemporal data modeling, and temporal databases

Job Responsibility

Provide technical leadership to multiple areas and provide technical and thought leadership to the enterprise
Collaborate across teams and the tech organization to solve our toughest problems
Deliver high-scale and high-quality data architecture, especially legacy-to-modern platform transitions
Deliver High-Quality services and software for a variety of domains
Accountable for the quality, usability, and performance of the solutions
Utilize your expertise in designing, developing, and deploying new and novel frameworks and services for internal distribution and consumption
Utilize your expertise in designing and developing API’s and microservices using graphQL, gRPC, and modern languages / tooling
Deploy applications in a hybrid cloud environment utilizing Kubernetes, various data stores, and a variety of cloud native tools and services
Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Influence and educate executives

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer, MCP & Developer Platform

Workato transforms technology complexity into business opportunity. As the leade...

Location

United States , San Francisco

Salary:

Not provided

Workato

Expiration Date

Until further notice

Requirements

5–7+ years of professional software development experience with a proven track record of shipping high-quality products
Active, visible contributor to the MCP ecosystem
Strong software engineering skills in Python or TypeScript, with comfort across multiple languages
Existing relationships within the MCP community
Proven track record of publicly writing, discussing, reviewing, and helping
Experience shipping products, creating kits, understanding developer tools, and/or managing teams

Job Responsibility

Thinking deeply about the end user as much as you consider what makes a great developer experience
Contributions to the MCP specification and reference implementations
Building and maintaining open-source MCP servers and tooling
Participating actively in community discussions, helping others solve problems, and sharing what you learn
An Ability and Eagerness to represent Workato as a constructive, technically credible voice in the MCP community
Advise on architecture for exposing Workato connectors as MCP servers
Help shape our developer experience for MCP
Identify where Workato can contribute infrastructure or tooling that the domain needs
Serve as an active, visible contributor to the MCP ecosystem, maintaining strong relationships in the MCP community, while building new bridges.

Senior Staff Software Engineer, Cloud Proxy

We are seeking a Senior Staff Engineer in Temporal's Cloud Global Services team ...

Location

United States

Salary:

230000.00 - 290000.00 USD / Year

Temporal

Expiration Date

Until further notice

Requirements

Proven experience architecting and delivering high-availability, security-critical networking or proxy systems
Deep understanding of authentication/authorization patterns (OIDC-OpenID Connect on top of OAuth), mTLS, JWT-JASON Web Token, custom identity integrations)
Expertise in data encryption at rest and in transit, including envelope encryption and key management
Strong proficiency in Go or a comparable systems programming language
Familiarity with distributed systems, RPC frameworks (gRPC), and cloud networking patterns
Track record of leading complex, multi-team technical initiatives to successful delivery
Ability to navigate ambiguity, define vision, and create alignment
Experience influencing technical direction across organizational boundaries

Job Responsibility

Define and drive the architecture for a unified, pluggable proxy framework
Establish technical standards for authentication, authorization, encryption, and observability across proxy implementations
Evaluate and integrate existing customer-built, S2S, and Cloud Auth proxies into a single supported solution
Translate high-level business and security requirements into technical designs
Ensure proxy meets Tier 0 workload reliability, security, and performance standards
Partner with Product, Security, and Customer Success to align roadmap with customer needs
Work closely with Infra Foundations, Security, OSS Server, and CGS teams
Engage directly with strategic customers to understand and incorporate their requirements
Mentor other engineers on distributed systems architecture, networking, and security
Drive the open-source development model, ensuring code quality, documentation, and extensibility

What we offer

Unlimited PTO, 12 Holidays + 2 Floating Holidays
100% Premiums Coverage for Medical, Dental, and Vision
AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available)
Empower 401K Plan
Additional Perks for Learning & Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more
$3,600 / Year Work from Home Meals
$1,500 / Year Career Development & Learning
$1,200 / Year Lifestyle Spending Account
$1,000 / Year In-Home Office Setup (In addition to Temporal issued equipment)
$500 / Year Professional Memberships

Fulltime

Senior Software Engineer (HCM)

Senior technical role responsible for designing, building, and evolving enterpri...

Location

United States , Orlando

Salary:

Not provided

Software Resources

Expiration Date

Until further notice

Requirements

Must have Staff HR/HCM knowledge
Must have HCM integration and framework experience
Experience with Workday connector PECI
Core Competencies – API, SOAP, REST
Seasoned Workday Engineer
Java scripting/scripting language, Rest API
Deep subject matter expertise in Workday HCM integrations, including PECI, Studio, Core Connector, Web Services API, BIRT, and EIB (5+ years)
Extensive experience developing Workday integrations for consumers and downstream systems, with strong understanding of HR data flows and architecture (5+ years)
Strong knowledge of Workday HCM business processes, security frameworks, advanced reporting, and Workday Security Integration concepts
Proficiency with integration technologies and standards including Web Services, XSLT, JSON, xPath, APIs, messaging bus, pub-sub, and ETL patterns

Job Responsibility

Design, develop, test, and deploy high-performance, scalable Workday integrations between internal and external systems using tools such as Workday Studio, EIB, RaaS, BIRT, and Workday Extend
Translate complex business and HR requirements into robust integration designs and technical specifications, ensuring data quality, security, and maintainability
Implement and optimize integrations leveraging Complex Calculated Fields, Workday Custom Reports, Web Services, XSLT, JSON, and xPath, following Workday SDLC and integration best practices
Assess Workday twice-yearly releases to identify impacts and opportunities, and implement enhancements that take advantage of new HCM features and capabilities
Troubleshoot and resolve critical integration incidents through root cause analysis, partnering with enterprise applications, infrastructure, and third-party teams as needed
Apply data integration best practices (APIs, messaging bus, pub-sub, ETL) to design resilient, secure, and reusable integration patterns across HCM platforms
Partner closely with architects, business systems analysts, and other software and data engineers to align solutions with enterprise architecture and HR technology strategy
Serve as a subject matter expert and technical lead on projects, explaining difficult concepts and influencing stakeholders to adopt sound technical approaches and standards

What we offer

medical
dental
vision coverage
401(k) with company match
short-term disability
life insurance with AD&D

Fulltime

Senior Software Engineer (HCM)

Senior technical role responsible for designing, building, and evolving enterpri...

Location

United States , Burbank

Salary:

90.00 - 93.00 USD / Hour

Software Resources

Expiration Date

Until further notice

Requirements

Must have Staff HR/HCM knowledge
Must have HCM integration and framework experience
Experience with Workday connector PECI
Core Competencies – API, SOAP, REST
Seasoned Workday Engineer
Java scripting/scripting language, Rest API
Deep subject matter expertise in Workday HCM integrations, including PECI, Studio, Core Connector, Web Services API, BIRT, and EIB (5+ years)
Extensive experience developing Workday integrations for consumers and downstream systems, with strong understanding of HR data flows and architecture (5+ years)
Strong knowledge of Workday HCM business processes, security frameworks, advanced reporting, and Workday Security Integration concepts
Proficiency with integration technologies and standards including Web Services, XSLT, JSON, xPath, APIs, messaging bus, pub-sub, and ETL patterns

Job Responsibility

Design, develop, test, and deploy high-performance, scalable Workday integrations between internal and external systems using tools such as Workday Studio, EIB, RaaS, BIRT, and Workday Extend
Translate complex business and HR requirements into robust integration designs and technical specifications, ensuring data quality, security, and maintainability
Implement and optimize integrations leveraging Complex Calculated Fields, Workday Custom Reports, Web Services, XSLT, JSON, and xPath, following Workday SDLC and integration best practices
Assess Workday twice-yearly releases to identify impacts and opportunities, and implement enhancements that take advantage of new HCM features and capabilities
Troubleshoot and resolve critical integration incidents through root cause analysis, partnering with enterprise applications, infrastructure, and third-party teams as needed
Apply data integration best practices (APIs, messaging bus, pub-sub, ETL) to design resilient, secure, and reusable integration patterns across HCM platforms
Partner closely with architects, business systems analysts, and other software and data engineers to align solutions with enterprise architecture and HR technology strategy
Serve as a subject matter expert and technical lead on projects, explaining difficult concepts and influencing stakeholders to adopt sound technical approaches and standards

What we offer

medical, dental, and vision coverage
401(k) with company match
short-term disability
life insurance with AD&D

Fulltime

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Staff Software Engineer - Open Source Server

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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