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Senior System Software Engineer, NVLink Fusion
NVIDIA USA
CA · MA
We are looking for a Senior System Software Engineer to develop low-level software for NVIDIA NVLink Fusion, a high-bandwidth, low-latency interconnect platform for next-generation…
Added 5 mins ago
Staff Software Engineer, Batch Processing Platform
Pinterest
Remote, United States
We’re looking for a Staff Software Engineer to help us build a high-performance, efficient, and easy to use batch processing platform and infrastructure at Pinterest. You’ll be working on…
Added 10 mins ago
TR
Accelerated Science Intern, Representation Learning for Molecules and Materials
Toyota Research Institute
Los Altos, CA
- $45 to $65 USD / hour
…tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics,…
Added 12 mins ago
Senior Software Engineer, Enterprise AI
Instacart
Remote, United States
We are seeking a Senior Software Engineer to join the Enterprise AI team and help build reliable, scalable AI-powered solutions. You will work with engineers, product partners, data…
Added 17 mins ago
O
Principal Core Infrastructure Engineer, AI Infrastructure
Oracle
Nashville, TN
- $114,600 to $234,600 USD / year
Proficient in one programming language(java/python/c/c++/goLang/shell scripting)
Added 18 mins ago
Principal Software Engineer, Data
ID.me
McLean, VA · Mountain View, CA
We are looking for a Principal Software Engineer (SDE6), Data to join our Core Platform Engineering organization and spearhead the architectural evolution of ID.me’s data ecosystem. As…
Added 21 mins ago
Staff Security Engineer- Security and Compliance
Veeam Software
San Jose, CA
Lead product vulnerability response from reproduction and severity assessment through remediation, coordinated disclosure, CVE handling, and customer advisories.
Added 27 mins ago
AI Red Team Lead Engineer
U.S. Bank
Irving, TX
The AI Red Team Lead Engineer leads the execution and evolution of offensive security activities focused on AI/ML systems, platforms, and integrations, in addition to traditional enterprise…
Added 27 mins ago
Sr. Low Latency Enterprise Solutions Architect - VP
Citigroup
Irving, TX
Engineering Background: Prior experience as a Senior Network Engineer, Network Architect, or Systems Infrastructure Engineer in a high-volume financial services, electronic trading, or…
Added 27 mins ago
ND
Senior Full Stack Backend Engineer (Java, Spring Boot, Cloud & DevOps)
NTT Data Americas, Inc.
Irving, TX
- $60 to $70 USD / hour
NTT DATA's Client is currently seeking a Senior Full Stack Backend Engineer (Java, Spring Boot, Cloud & DevOps) to join their team in Irving, Texas (US-TX), United States (US).
Added 27 mins ago
Software Engineer II - AI/ML
JPMorgan Chase
Plano, TX
As a Software Engineer at JPMorganChase within the Consumer & Community Banking-Home Lending Servicing group, you are an integral part of an agile team that works to enhance, build, and…
Added 28 mins ago
Application Support Manager (SRE)
Deloitte
Dallas, TX
…work in a collaborative environment? As an Application Support Engineer, you will have the ability to share new ideas and collaborate on high-impact projects supporting mission-critical…
Added 30 mins ago
Senior Solutions Engineer
Overstory
Remote, United States
As a Senior Solutions Engineer at Overstory, you'll turn our vegetation intelligence into operational impact for utility customers. Our data products - derived from satellite imagery and…
Added 36 mins ago
Embedded Signal Processing and ML Algorithms Engineer
Apple
San Diego, CA
…products. We are looking for a strong machine learning & DSP engineer with a passion for bridging algorithm development with embedded system design and software integration and leveraging…
Added 36 mins ago
AIML - Machine Learning Engineer, Evaluation - Responsible AI and Safety
Apple
Cupertino, CA
…representative? Apple is seeking an experienced Engineering Manager to lead a team shaping the future of responsible AI evaluation for the next generation of generative…
Added 38 mins ago
Lead Site Reliability Engineer
Little Caesar Enterprises Inc.
Detroit, MI
The Lead Site Reliability Engineer ensures our cloud-native ecommerce platform is reliable, scalable, secure, and cost-efficient, and that it performs at its peak capability at all times.…
Added 40 mins ago
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Industrial Engineering Analyst
Actalent
Pittsburgh, PA
- $70 to $80 USD / hour
Job Title: Industrial Engineering Analytics EngineerJob DescriptionThe Industrial Engineering Analytics Engineer leads the development and application of advanced analytical models to…
Added 41 mins ago
Principal Software Engineer
HM Health Solutions Inc.
Remote, United States
We are seeking a visionary Principal Software Engineer responsible for building scalable public-facing software applications across Digital Member Experience channels. As a key player…
Added 41 mins ago
Full-stack Engineer 4
Capital One
Richmond, VA
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet…
Added 41 mins ago
Staff Cloud Engineer
Capital One
McLean, VA · Richmond, VA · NY · Plano, TX
…data with emerging technologies to join our team. As a Cloud Engineer, you’ll have the opportunity to be on the forefront of driving a major cloud infrastructure transformation within…
Added 41 mins ago
Full-stack Engineer 4
Capital One
McLean, VA
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet…
Added 41 mins ago
Full Stack Engineer 5 (Senior Manager, IC, MLX Group)
Capital One
McLean, VA · Cambridge, MA · San Jose, CA · Richmond, VA · San Francisco, CA · NY
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet…
Added 41 mins ago
Full Stack Engineer 4 (AI Operations/MLX Group)
Capital One
NY · McLean, VA · Cambridge, MA
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet…
Added 44 mins ago
AWS DevSecOps Engineer
Phoenix Oversight Group LLC
Remote, United States
The AWS DevSecOps Engineer builds, secures, and operates the AWS environments and automated delivery pipelines that PhoenixTeam uses for internal and client applications. This is a hands-on…
Added 47 mins ago
Principal Software Engineer, Cloud Networking Platform
SoFi
Seattle, WA · Cottonwood Heights, UT
We are looking for a Principal Software Engineer to own the long-term networking vision for all of SoFi. SoFi runs almost entirely in AWS, and every member interaction, from opening the app…

Jobgether

Senior Backend Software Engineer - Kalepa for Operations

Remote, United States

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Job details

Experience: At least 5 years of professional software engineering experience building, deploying, and maintaining backend systems in production environments.
Posting language: English
Posted: Oct 30, 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 Backend Software Engineer – Kalepa for Operations based in the United States.

We are looking for an experienced Senior Backend Software Engineer to design and build highly reliable, scalable backend systems supporting next-generation AI-powered insurance operations. In this role, you will work at the intersection of backend engineering, artificial intelligence, and large-scale data processing. You will take ownership of critical services, data models, asynchronous pipelines, and external-facing APIs that support complex business workflows. Working primarily with Python and AWS, you will help develop intelligent systems capable of processing massive volumes of unstructured information with accuracy and explainability. You will collaborate with a high-performing engineering team, influence architectural decisions, and drive technical excellence across the platform. This is an opportunity to solve challenging problems in a rapidly evolving environment where engineering quality, innovation, and real-world impact are essential.

Accountabilities

• Lead the scoping, architecture, design, and delivery of complex backend systems using Python and AWS, including scalable services, data models, and asynchronous processing pipelines.

• Build, deploy, and optimize LLM-powered systems capable of processing large volumes of unstructured documents and data while maintaining high standards of precision, reliability, and explainability.

• Design, develop, and maintain external-facing APIs and integrations with third-party platforms that support critical customer workflows.

• Own database architecture, query performance, and data scalability, proactively identifying optimization opportunities and managing technical debt.

• Contribute to architectural discussions and technical decisions across the broader product ecosystem, helping establish scalable and maintainable engineering solutions.

• Collaborate with cross-functional engineering teams to refine requirements, prioritize initiatives, and continuously improve development processes.

• Provide accurate project estimates, manage delivery timelines, and support other engineers in planning and estimating technical work.

• Take a leading role in incident management, debugging, and production issue resolution, serving as a technical resource for complex engineering challenges.

• Establish and promote best practices across software development, testing, deployment, and production operations.

• Mentor and support other engineers through code reviews, technical pairing, architectural feedback, and knowledge sharing.

• Leverage AI-powered development tools thoughtfully to improve engineering productivity, code quality, and overall delivery efficiency.

• Contribute to the development and continuous improvement of evaluation frameworks that measure and optimize the accuracy and performance of AI-driven operational workflows.

Requirements:

• At least 5 years of professional software engineering experience building, deploying, and maintaining backend systems in production environments.

• Strong proficiency in Python, the primary technology within the engineering stack, although candidates with substantial experience in other object-oriented programming languages will also be considered.

• Hands-on experience with AWS, serverless technologies such as Lambda and Step Functions, asynchronous workflows, and cloud-based infrastructure.

• Strong knowledge of relational databases, including database design, query optimization, and performance tuning, ideally with PostgreSQL.

• Excellent understanding of software engineering fundamentals, including system design, debugging, testing methodologies, and structured problem-solving.

• Demonstrated experience designing and developing external-facing APIs and integrating third-party systems.

• Proven ability to take full ownership of complex technical projects and deliver results independently with minimal supervision.

• Strong communication skills, including the ability to proactively identify blockers, ask relevant questions, communicate progress, and keep stakeholders informed.

• An experimental and iterative mindset, with the ability to test new approaches, evaluate results, and solve technically challenging problems in ambiguous environments.

• High standards of engineering quality, accountability, and attention to detail, combined with a genuine interest in tackling complex problems.

Additional assets:

• Previous experience building, deploying, and operating large-scale LLM-powered applications in production.

• Familiarity with document-processing pipelines and systems handling large volumes of unstructured data.

• Experience designing and maintaining distributed systems.

• Background in insurance, fintech, or other data-intensive and regulated industries.

• Experience developing AI evaluation frameworks and optimizing the accuracy, reliability, and performance of intelligent systems.

Benefits:

•

Competitive annual salary based on experience and geographical location:

• Zone 1: $213,000–$246,000 USD for candidates based in New York and San Francisco.

• Zone 2: $192,000–$246,000 USD for candidates in other locations across the United States and Canada.

• Significant equity options package, offering the opportunity to participate in the company's growth.

• 20 days of paid time off annually.

• 100% employer-covered medical, dental, and vision insurance for employees and their families (US employees).

• 401(k) retirement plan with employer contributions, regardless of employee contribution (US employees).

• Healthy living and gym membership stipend.

• Mobile phone bill stipend.

• Continuing education credits and opportunities for professional development.

• International team offsites and opportunities to connect with colleagues globally.

• Remote-first working environment, with team members based across the United States, Canada, and Europe.

• Opportunities to work on advanced AI technologies and strategically important engineering infrastructure.

• High levels of technical ownership, autonomy, and opportunities to influence product and architectural decisions.

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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