Staff Backend Engineer, Operations

Jobgether; United States; Remote; USD 222,000 - 314,000; Full time

Benefits offered by this job

Equity options

Paid time off

Remote-first environment

Gym stipend

Phone bill stipend

Continuing education credits

Medical insurance for individuals &amp

Job summary

Jobgether partner seeks a Staff Backend Engineer, Operations in the United States to lead scalable backend infrastructure and production-grade LLM-powered workflows. You will design architectures for processing huge data and making high-stakes insurance decisions, with ownership across engineering, product, and business teams.

You will mentor engineers, influence technical strategy, and advance AI-driven operations while delivering impactful features and maintaining robust systems.

Qualifications

• 8+ years of software engineering experience building and operating backend systems at scale.
• Led at least one significant project or initiative as technical lead.
• Hands-on experience with LLMs in production and scaling them.
• Strong Python proficiency; other OO languages welcomed.
• Experience with AWS, Lambda, Step Functions, asynchronous workflows.
• Relational DBs with performance focus, PostgreSQL ideal.
• Trusted technical resource for engineers, product, and stakeholders.
• Strong ownership and execution, minimal supervision.
• Excellent communication to justify technical decisions.
• Proactive, experimental mindset solving hard problems.

Responsibilities

• Lead backend initiatives: services, data models, pipelines, evaluation frameworks.
• Define direction for large-scale LLM systems balancing reliability and cost.
• Drive architectural decisions across the product.
• Deliver product improvements and scope new features.
• Manage technical debt while balancing rapid delivery and long-term quality.
• Collaborate with product and business to balance data and resources.
• Promote best practices in development, testing, deployment, review.
• Identify opportunities to improve product quality and testing.
• Mentor colleagues and participate in recruiting and external interactions.
• Leverage AI-powered tools to boost team productivity.

Skills

Python

LLMs in production

AWS

Serverless (Lambda/Step Functions)

Relational databases (PostgreSQL)

Technical leadership

Excellent communication

Tools

AWS Lambda

Step Functions

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 Staff Backend Engineer, Operations based in the United States.

Join a forward-thinking engineering team developing advanced AI systems that transform how the insurance industry operates. As a Staff Backend Engineer, you will lead the design and development of scalable backend infrastructure and production-grade LLM-powered workflows. You will build systems capable of processing billions of unstructured data points, extracting reliable information, and supporting high-stakes insurance decisions. With significant technical ownership, you will shape architecture, influence engineering strategy, and drive complex initiatives from conception to delivery. Working across engineering, product, and business teams, you will help establish the foundations for intelligent, automated insurance operations. This is an opportunity to tackle challenging problems in a small, ambitious team where technical excellence and customer impact are central.

Accountabilities

Responsibilities

You will take ownership of critical backend initiatives and help define how reliable, scalable AI-powered systems are designed, evaluated, and operated. Your responsibilities will include:

• Lead the technical design and delivery of major backend initiatives, including services, data models, asynchronous pipelines, and evaluation frameworks using Python and AWS.
• Define technical direction for large-scale LLM systems, balancing reliability, cost, latency, evaluation, and explainability.
• Drive architectural discussions and make high-impact systems design decisions across the product.
• Deliver significant product improvements and innovations while helping scope new features and technical initiatives.
• Manage technical debt strategically, determining when to prioritize rapid delivery and when to invest in long-term improvements.
• Collaborate with product and business stakeholders to guide organization-wide decisions, balancing data, resources, and technical trade-offs.
• Establish and promote best practices across development, testing, deployment, and code review processes.
• Identify opportunities to improve product quality and testing across services, modules, and products.
• Mentor and support colleagues while representing the engineering organization in recruiting, training, and external interactions.
• Use AI-powered development tools thoughtfully to increase individual productivity and strengthen team execution.

Requirements

The ideal candidate is an experienced backend engineer with strong technical judgment, a track record of leading complex initiatives, and practical experience deploying AI systems in production. You should be comfortable operating independently, influencing technical decisions, and working through ambiguity. Key qualifications include:

• 8+ years of software engineering experience building and operating backend systems at scale.
• Demonstrated experience serving as the technical lead for at least one significant project or initiative.
• Hands-on experience working with LLMs in production and understanding the challenges of deploying and operating them at scale.
• Strong proficiency in Python, the primary language used across the technology stack; candidates with substantial experience in other object-oriented languages are also welcome.
• Experience with AWS, serverless technologies such as Lambda and Step Functions, asynchronous workflows, and cloud-based environments.
• Strong understanding of relational databases and performance optimization, ideally with PostgreSQL.
• A proven ability to serve as a trusted technical resource for engineering, product, and business stakeholders.
• Strong ownership and execution skills, with the ability to drive projects through completion with minimal supervision.
• Excellent communication skills and the ability to explain and advocate for technical decisions with engineers, product teams, and leadership.
• A proactive, experimental mindset and enthusiasm for solving complex, previously unsolved problems.

Additional Experience That Would Be Advantageous

• Building document-processing pipelines and handling large-scale data workloads.
• Designing and operating distributed systems.
• Developing external-facing APIs or integrating with third-party platforms.
• Working in insurance, fintech, or other data-intensive and regulated industries.

Benefits

• Competitive annual salary based on experience and location:
  • Zone 1 – New York and San Francisco: $246,000–$314,000.
  • Zone 2 – All other locations in the United States and Canada: $222,000–$314,000.
• Significant equity options package.
• 20 days of paid time off annually.
• Global team offsites and opportunities to connect with colleagues across locations.
• Healthy living and gym stipend.
• Mobile phone bill stipend.
• Continuing education credits.
• For US employees:
  • 100% employer-covered medical, vision, and dental insurance for individuals and families.
  • 401(k) plan with an employer contribution, regardless of employee contributions.
• Remote-first working environment, with employees across the United States, Canada, and Europe.

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.

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.

We appreciate your interest and wish you the best!