Staff Software Engineer - Open Source Server Job at Temporal

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

Unix System Integration Advisor

The Unix System Integration Advisor role requires a senior-level Linux engineer ...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Expert knowledge on RedHat Linux OS, Kernel, infrastructure and security
Expert knowledge in Linux Base Build, Kickstart, and BM / BMR Functions
SME RedHat / equivalent applications (AWX (Open Source) / Ansible Tower, Foreman (Open Source) / Satellite, RH Insights, Pacemaker, OpenShift Concepts)
Proficiency in RedHat patching and security
Can demonstrate proficiency in several SHELL scripting languages (ex., bash)
Can demonstrate proficiency in hands-on unassisted troubleshooting
Can demonstrate knowledge with RHEL OS history, development, and roadmap
Can demonstrate a working technical knowledge of several mid-range server models
Can demonstrate implement, support and maintain Open-Source software
Excellent communication skills, both verbal and written

Job Responsibility

Design, implement, and maintain scalable and secure Linux infrastructure across on-premises and hybrid environments, ensuring high availability, performance, and compliance
Function as the Linux platform owner, escalation point, and tech lead in cross-functional environment
Mentor and lead technical staff, drive documentation and knowledge sharing, and serve as the primary subject matter expert for Linux systems within the organization
Own Linux system lifecycle management, including patching, upgrades, monitoring, incident response, and remediation aligned with InfoSec and audit requirements
Document Infrastructure and Operations
Maintain up-to-date documentation for system configurations, operational procedures, deployment processes and architecture diagrams for internal teams
Plan and Execute Upgrades
Evaluate and implement OS, and software upgrades as per lifecycle requirements
Security Monitoring and Response
Apply patches, mitigate risks, and generate security compliance reports for InfoSec or audit teams

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.

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 - 300000.00 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 - 300000.00 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 , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 - 300000.00 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 Engineer – Vulnerability Management Automation

GEICO is seeking an experienced Staff Engineer with a passion for building high ...

Location

United States , Chevy Chase; Palo Alto; Dallas; Seattle

Salary:

110000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Strong software engineering background building production services and tooling (Python or Go preferred
TypeScript a plus)
Deep knowledge of Linux and Windows Server administration and patching in enterprise environments
Hands‑on experience with vulnerability scanners and their APIs (Tenable/Nessus, Qualys, Rapid7) and risk models (CVSS, KEV, EPSS)
Proficiency with configuration management and IaC (Ansible/Puppet/Chef/Salt
Terraform/Pulumi/Crossplane, Helm/Kustomize)
Experience with event‑driven and batch data pipelines (e.g., Kafka/SNS/SQS/PubSub), relational data stores, and caching
Familiarity with cloud (AWS/Azure/GCP), containers/Kubernetes, and image pipelines (e.g., Packer)
Solid understanding of authN/authZ, secrets management, and least‑privilege access for platforms and automation
Excellence in observability and reliability practices (OpenTelemetry/Prometheus/Grafana) with an SLO mindset

Job Responsibility

Define the technical roadmap for vulnerability management and patch automation platforms
Establish standards, patterns, and paved roads for scanning, triage, remediation, and verification
Mentor engineers across Security and Platform teams on software and systems design best practices
Drive design reviews, architecture decisions, and quality gates for reliability and security
Design and implement services for asset/CMDB enrichment, risk scoring, and intelligent targeting
Build controllers/schedulers for maintenance windows, deployment rings/canaries, pre/post checks, automated backoff/rollback, and progressive delivery
Deliver self‑service CLIs/SDKs and internal UIs to request, schedule, and track remediation
Implement idempotent, policy‑driven workflows for patching and baseline enforcement across Windows and Linux
Integrate with image pipelines to shift‑left patching and hardening
Integrate scanner data and external intel into unified pipelines

What we offer

Comprehensive Total Rewards program
401K savings plan with 6% match
performance and recognition-based incentives
tuition assistance
mental healthcare
fertility and adoption assistance
workplace flexibility
GEICO Flex program (work from anywhere in the US for up to four weeks per year)

Fulltime

Staff AI Engineer

We are looking for a visionary and technically deep AI Architect to lead the des...

Location

India , Pune, Maharashtra; Karnataka

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering or technology architecture
At least 4 years focused on AI, ML, and Generative AI solutions at enterprise scale
Deep hands-on expertise with Large Language Models (LLMs) including model selection, prompt engineering, fine-tuning (LoRA, PEFT), and evaluation techniques
Proven experience designing and implementing MCP servers and structured context management strategies for LLM applications
Strong working knowledge of Generative AI frameworks and orchestration tools — LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI, or equivalent agentic platforms
Hands-on experience with RAG architectures, vector databases (Pinecone, Weaviate etc), and embedding models
Proficiency in Python-based AI/ML development, including libraries such as HuggingFace Transformers, PyTorch, TensorFlow, scikit-learn, and OpenAI SDK
Experience with AI cloud platforms and services — Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent enterprise AI infrastructure
Solid understanding of MLOps practices including model versioning, experiment tracking (MLflow, Weights & Biases), CI/CD for ML, and model monitoring in production
Familiarity with AI agent design patterns, multi-agent systems, tool-use frameworks, and autonomous workflow orchestration

Job Responsibility

Define and own the enterprise AI architecture strategy, establishing standards, reference architectures, and technology roadmaps for AI/ML adoption
Architect and oversee the design of LLM-powered applications including RAG pipelines, AI agents, and agentic workflow systems
Design and govern MCP server implementations, enabling structured, context-aware interactions between LLMs and enterprise data sources
Lead the evaluation and selection of AI/ML platforms, LLM providers (OpenAI, Anthropic, Azure OpenAI, Google Gemini, open-source models), and supporting infrastructure
Architect prompt engineering frameworks, fine-tuning pipelines, and model evaluation strategies to ensure LLM output quality, accuracy, and reliability
Design AI orchestration layers using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or custom agentic architectures for multi-step reasoning workflows
Establish AI data pipelines for model training, embeddings generation, vector database management, and real-time inference serving
Define and enforce responsible AI practices including bias detection, explainability, hallucination mitigation, content safety guardrails, and regulatory compliance
Collaborate with engineering leads, data scientists, and product teams to embed AI capabilities into existing platforms and new product initiatives
Mentor and upskill engineering teams on AI/ML technologies, architectural patterns, and emerging developments in the AI ecosystem

What we offer

People-first culture
Flexible work model
Focus on well-being
Inclusive environment

Fulltime

Staff Software Engineer - Open Source Server

Temporal

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 04, 2026

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