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Added 4 mins ago
Senior Product Manager, Patient Engagement & AI
Jobgether
Remote, United States
…experience launching and managing production conversational AI, LLM-powered agents, or automated customer-facing or patient-facing…
Added 5 mins ago
UC
Administrative Support Assistant
U.S. Coast Guard
Buzzards Bay, MA
- $46,137 to $59,978 USD / year
Added 5 mins ago
UC
Mariner Credentialing Compliance Investigator
U.S. Coast Guard
Martinsburg, WV
- $85,447 to $111,087 USD / year
Added 5 mins ago
TS
TRANSPORATION SECURITY SPECIALIST
Transportation Security Administration
Colorado Springs, CO
- $109,246 to $167,830 USD / year
Added 8 mins ago
TS
Security Specialist
Transportation Security Administration
Springfield, VA
- $85,447 to $133,142 USD / year
Added 16 mins ago
UC
Research General Engineer
U.S. Coast Guard
New London, CT
- $120,094 to $156,124 USD / year
Added 16 mins ago
TS
Writer-Editor
Transportation Security Administration
Herndon, VA
- $121,785 to $158,322 USD / year
Added 54 mins ago
AI/ML Solution Architect (LATAM/US)
SnapSoft Kft.
Remote, United States
…engineers. Our current work centres on agentic automation, LLM-based RAG systems, vector databases and integrating AI into our clients' existing application landscapes. You will work…
Added 1 hour ago
J
Senior Engineer, Exposure & Vulnerability Management
Jobgether
Remote, United States
- $134,200 to $180,600 USD / year
Hands-on experience building or deploying AI/LLM-based agents or multi-agent systems for security or engineering workflows, including orchestration, tool usage, and evaluation.
Added 1 hour ago
Staff Security Engineer
Jobgether
Remote, United States
Added 1 hour ago
VLSI Design Automation Software Engineer
NVIDIA Corporation
North District, IL
Hands-on experience with AI agents, such as building agentic workflows, using LLM APIs, tool calling or MCP, or getting real productivity gains from AI coding assistants.
Added 1 hour ago
AI Engineer
Awesome Motive
Remote, United States
Designing and building LLM pipelines with solid prompt design, structured and validated output, RAG, guardrails, and agentic workflows.
Added 2 hours ago
J
Director, Organic Acquisition
Jobgether
Remote, United States
- $154,200 to $192,750 USD / year
Develop, own, and execute the overall organic acquisition strategy, covering technical SEO, content optimization, AEO, LLM visibility, and emerging search technologies.
Added 2 hours ago
AI Engineer
Awesome Motive
Remote, United States
Designing and building LLM pipelines with solid prompt design, structured and validated output, RAG, guardrails, and agentic workflows.
Added 2 hours ago
Technology Consultant 2 - Microsoft AI Solutions
U.S. Bank National Association
Gresham, OR · Hopkins, MN · Brookfield, WI · Irving, TX · Earth City, MO · Saint Paul, MN
Prototype emerging GenAI and LLM capabilities and translate concepts into scalable solutions.
Added 2 hours ago
Staff Security Engineer
Jobgether
Remote, United States
Strong understanding of AI coding agents and LLM-based systems, including their architecture, limitations, vulnerabilities, and potential manipulation techniques.
Added 2 hours ago
Geospatial and Digital Innovation Development Leader
Jobgether
Remote, United States
Innovation and Technology Evaluation: Evaluate and pilot emerging technologies, including GeoAI, large language model (LLM)-assisted data compilation, automated metadata generation, defect…
Added 4 hours ago
ConvergeFSI - Lead UI Engineer - Products & Platforms
Deloitte
Kansas City, MO
…versioning and backward compatibility, in systems where an LLM or agent selects the component or flow to render at…
Added 4 hours ago
ConvergeFSI - Lead UI Engineer - Products & Platforms
Deloitte
Saint Louis, MO
…versioning and backward compatibility, in systems where an LLM or agent selects the component or flow to render at…
Added 4 hours ago
Chief Information Security Officer
Jobgether
Remote, United States
Added 4 hours ago
DN
AWS Cloud Data Engineer 3065-18
Delaware Nation Industries
Dahlgren, VA
- $150,000 to $170,000 USD / year
…agentic services, hosted models, and large language model (LLM) optimization. The role integrates data engineering, FinOps, Zero Trust security, and AI/ML infrastructure responsibilities…
Added 4 hours ago
DN
AWS Cloud Data Engineer 3065-19
Delaware Nation Industries
Dahlgren, VA
- $150,000 to $170,000 USD / year
…agentic services, hosted models, and large language model (LLM) optimization. The role integrates data engineering, FinOps, Zero Trust security, and AI/ML infrastructure responsibilities…
Added 5 hours ago
Lead Engineer, Member Growth
Jobgether
Remote, United States
Experience delivering LLM-powered product features, including natural-language data queries or AI agents.
Added 5 hours ago
Senior Copy Editor
Chewy, Inc.
Plantation, FL · Boston, MA
1-2 years of copy-editing experience working with generative AI or an LLM.
Added 6 hours ago
Co-founder & CTO, AI for predictable drug discovery and development
Deep Science Ventures
Remote, United States
…biological reasons, using evidence available before the result. An LLM may already know a historical outcome, so retrospective tests need safeguards against contamination as well as…

Jobgether

Senior Staff Software Engineer

Remote, United States

• Base salary range of $188,275–$270,375 USD for new hires in the United States.

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Job details

Pay: • Base salary range of $188,275–$270,375 USD for new hires in the United States.
Experience: 12+ years of relevant software engineering experience, or equivalent, ideally in platform engineering, delivering complex systems from design through production.
Posting language: English
Posted: Nov 5, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Software Engineer based in the United States.

As a senior technical leader on the Platform team, you will shape the architecture and evolution of cloud-based infrastructure that empowers scientific, data, and engineering teams to work more effectively. You’ll combine strategic technical direction with hands-on engineering, building scalable services across data platforms, distributed compute, and self-service research environments. Working closely with specialist teams, you’ll turn complex needs into reusable solutions while improving reliability, performance, and cost efficiency. You’ll also champion practical AI adoption, helping teams develop secure, cost-effective agentic workflows and LLM-powered applications. This role offers the opportunity to influence engineering practices across the organization, mentor other engineers, and contribute to technology supporting earlier cancer detection. The position is remote within the United States, with occasional travel to the headquarters in Brisbane, California, approximately two to three times per year.

Accountabilities:

• Shape the platform’s technical vision and roadmap in partnership with engineering and R&D leaders, aligning priorities with broader organizational goals.

• Build strong partnerships with domain experts and specialist teams, treating platform and data capabilities as products and translating shared needs into reusable services.

• Design, develop, and operate scalable platform systems, guiding architectural decisions through design reviews, prototypes, and pragmatic technology choices.

• Lead complex, business-critical initiatives from planning through delivery, managing tradeoffs, sequencing work into incremental milestones, and delegating effectively.

• Support platform users by resolving complex technical issues and turning recurring problems into lasting improvements in reliability, performance, and capacity.

• Champion AI adoption by helping teams with different technical backgrounds identify and apply useful AI tools and workflows.

• Build and improve infrastructure that enables secure, cost-effective agentic workflows and LLM-powered applications, while using AI to increase platform engineering productivity.

• Improve cloud cost visibility and lead optimization initiatives that reduce waste without compromising performance, reliability, or scientific productivity.

• Mentor and develop engineers through technical pairing, design reviews, delegation, and constructive feedback, while promoting a collaborative, high-performing culture.

Requirements:

• 12+ years of relevant software engineering experience, or equivalent, ideally in platform engineering, delivering complex systems from design through production.

• At least 3 years leading complex, cross-team initiatives, aligning stakeholders, communicating technical tradeoffs, and enabling delivery without relying on formal authority.

• At least 3 years building and operating production platforms using Infrastructure as Code on a public cloud, preferably Azure or Google Cloud Platform (GCP).

• Strong Python proficiency and experience with at least one additional high-level programming language.

• Deep understanding of Linux internals, networking, and virtualization, with hands-on system-level troubleshooting and performance tuning experience.

• Strong Kubernetes expertise, including ownership of advanced capabilities such as controllers, operators, custom resource definitions (CRDs), admission control, scheduling, autoscaling, service mesh, or multi-cluster networking.

• Sound judgment in distributed systems and platform architecture, including governance, capacity planning, reliability, cost management, data processing, and storage.

• Demonstrated software architecture leadership, including writing clean production code, clear design documentation and architecture decision records (ADRs), and facilitating constructive technical reviews.

• A track record of helping engineers and domain experts grow, strengthening teams’ capabilities and independence.

• Experience partnering with specialist teams such as data science, AI/ML, computational biology, or related technical disciplines to improve their workflows.

• Hands-on experience with AI-assisted development and building reusable tools or workflow automation.

• Preferred additional experience or interest in life-sciences software, next-generation sequencing (NGS) pipelines, biological data, MLOps, machine learning, deep learning, and scientific Python frameworks.

• Familiarity with workflow orchestration, distributed compute on Kubernetes, cloud migrations, multi-cloud or multi-region operations, columnar processing, open lakehouse technologies such as Apache Iceberg, and FinOps practices is an advantage.

Benefits:

• Base salary range of $188,275–$270,375 USD for new hires in the United States.

• Eligibility for equity and cash bonuses.

• Medical, financial, and other employee benefits, depending on the position offered.

• Remote work within the United States.

• Occasional travel to the headquarters in Brisbane, California, approximately two to three times per year.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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More about this job

Skills

Research
Infrastructure as code
Microsoft Azure
Google Cloud
Python
Linux
Troubleshooting
Kubernetes
Scheduling
Cost management
Process data
Leadership
Documentation
ML
Workflow
Machine learning
Deep learning

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