Senior Staff Software Engineer

Jobgether; United States; Remote; USD 188,000 - 270,000; Full time

Benefits offered by this job

Remote work within the United States

Equity and cash bonuses

Medical benefits

Occasional travel to Brisbane, CA

Job summary

Jobgether seeks a Senior Staff Software Engineer, remote in the United States, to lead platform architecture and deliver scalable cloud-based infrastructure for data science, AI, and research workflows. You will mentor engineers and drive cost‑efficient, reliable systems, with occasional travel to Brisbane, CA.

You will own initiatives across data platforms, distributed compute, and LLM‑powered applications, partnering with data science and AI teams to advance life‑sciences workflows.

Qualifications

• 12+ years of relevant software engineering experience, or equivalent.
• At least 3 years leading complex, cross‑team initiatives, aligning stakeholders and enabling delivery.
• At least 3 years building and operating production platforms using Infrastructure as Code on a public cloud (Azure or GCP).
• Strong Python proficiency and experience with at least one additional high‑level language.
• Deep understanding of Linux internals, networking, and virtualization with hands‑on troubleshooting.
• Strong Kubernetes expertise including controllers, operators, CRDs, admission control, scheduling, autoscaling, service mesh, or multi‑cluster networking.
• Governance, capacity planning, reliability, cost management, data processing, and storage.

Responsibilities

• Shape the platform’s technical vision and roadmap in partnership with engineering and R&D leaders.
• Build partnerships with domain experts and treat platform/data capabilities as products.
• Design, develop, and operate scalable platform systems guiding architectural decisions.
• Lead complex initiatives from planning through delivery and delegate effectively.
• Support platform users by resolving complex technical issues and improving reliability and cost efficiency.
• Champion AI adoption by helping teams apply useful AI tools and workflows.
• Build infrastructure for secure, cost‑effective agentic workflows and LLM‑powered applications.
• Improve cloud cost visibility and lead optimization initiatives while preserving performance.
• Mentor engineers through technical pairing and design reviews.

Skills

Python

Kubernetes

Linux

Cloud Azure

GCP

Distributed systems

Architecture leadership

AI/ML collaboration

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?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.