Backend Engineer - Real User Monitoring Job at Coralogix (Ramat Gan)

Staff Backend Engineer, Speech AI

Our intelligent runtime must seamlessly connect to foundational models to power ...

Location

United States , Mountain View

Salary:

200000.00 - 300000.00 USD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

A BA/BS degree in Computer Science or a related technical field, or equivalent practical experience
5+ years of professional experience in software development, with a proven track record of shipping high-quality, user-facing products
Strong product sense and an ability to think critically about user experience and business impact
Demonstrated experience in building and scaling production-grade backend APIs and distributed systems
Strong proficiency in Python and professional experience with one or more of the following: Java/Kotlin, or Go
Hands-on experience with containerization (Docker) and deploying services on orchestration platforms like Kubernetes
A solid foundation in data structures, algorithms, and system design

Job Responsibility

Own features end-to-end, from collaborating on the initial concept with product managers to shipping and monitoring the final product
Translate product requirements and user needs into robust, scalable, and maintainable backend services and APIs
Design, build, and launch user-facing APIs and backend systems in Python, Java/Kotlin, and Go that deliver seamless voice experiences
Partner closely with Product Managers and ML engineers to define scope, identify technical trade-offs, and drive the product roadmap forward
Write high-quality, production-grade code that powers real-time audio processing, model inference, and complex data pipelines
Champion engineering and product excellence, with a focus on delivering tangible value to our users quickly and iteratively

What we offer

bonus
equity
benefits
relocation assistance

Fulltime

Senior / Staff Backend Engineer

At Linear, we are on a mission to bring magic back to software. To empower produ...

Location

Salary:

Not provided

Linear

Expiration Date

Until further notice

Requirements

Strong JavaScript fundamentals
Experience building scalable infrastructure and backend solutions
Experience with TypeScript
Experience building scalable systems

Job Responsibility

Build the backend for various user-facing features
Optimize real-time, synchronized data delivery across our clients
Improve database and infrastructure performance by implementing caching solutions, connection pooling
Improve observability, monitoring, and alerting for our service so that we can better respond to operational incidents
Scale our service via architectural changes as well as infrastructure improvements
Open-source any non-trivial innovations that come out of our work on the product
Redefine best-in-class software development processes so that we can build a purpose-built product

What we offer

Interesting and challenging work
Work-life balance
Competitive salary and equity
Employee-friendly equity terms (extended exercise)
Paid lunch and coffee during workdays
Work remotely, no commuting to the office
Paid co-working space/desk at an office
Health, dental, and vision insurance (based on country requirements)
Regular team events and off-sites
5 weeks of paid vacation

Fulltime

Java Backend Engineer

The Applications Development Senior Programmer Analyst is an intermediate level ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

7-9 years of relevant experience in Java/Spring/Hibernate, Microservice major and UI is optional
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
7 to 9 years of Angular UI development experience in web application development in Angular, Java, and Oracle tech stack
Proficient in JavaScript, TypeScript, Angular (v6 and above)
Expertise in building single page applications that are performant, reliable and maintainable
Expertise in building custom components like grids, multi-select drop downs etc
Expertise in handling large volumes of data over REST APIs

Job Responsibility

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members

Fulltime

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...

Location

Canada; United States

Salary:

160000.00 - 260000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience with a focus on production systems
1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation
Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
Python Proficiency: Expert-level Python skills for production AI systems
Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures
LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks
API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities
Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)

Job Responsibility

Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions

What we offer

equity
company bonus or sales commissions/bonuses
401(k) plan
at least 10 paid holidays per year, flex PTO, and parental leave
employee assistance program and wellbeing benefits
global travel coverage
life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Staff AI Engineer

As a Staff AI Engineer on our AI Engineering team, you will be responsible for b...

Location

United States

Salary:

200000.00 - 280000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience with a focus on production systems
1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage
Experience building multi-step AI agents, LLM chaining, and complex workflow automation
Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
Expert-level Python skills for production AI systems
Strong experience building scalable backend systems, APIs, and distributed architectures
Experience with LangChain, LlamaIndex, or other LLM application frameworks
Proven ability to integrate multiple APIs and services to create advanced AI capabilities
Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)

Job Responsibility

Design and Deploy Production LLM Systems
Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
Develop and optimize prompting strategies
Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems
Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions
Build sophisticated multi-agent systems that can reason, plan, and execute complex sales workflows
Develop systems that maintain conversational context across complex multi-turn interactions
Build scalable large language model and agentic platforms

What we offer

equity
company bonus or sales commissions/bonuses
401(k) plan
at least 10 paid holidays per year, flex PTO, and parental leave
employee assistance program and wellbeing benefits
global travel coverage
life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...

Location

India

Salary:

Not provided

Apollo.io

Expiration Date

Until further notice

Requirements

7+ years of software engineering experience with a focus on production systems
1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
Experience building multi-step AI agents, LLM chaining, and complex workflow automation
Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
Expert-level Python skills for production AI systems
Strong experience building scalable backend systems, APIs, and distributed architectures
Experience with LangChain, LlamaIndex, or other LLM application frameworks
Proven ability to integrate multiple APIs and services to create advanced AI capabilities
Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)

Job Responsibility

Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions

What we offer

Invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact
Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed
We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins

Staff AI Engineer

As a Staff AI Engineer on our AI Engineering team, you will be responsible for b...

Location

India

Salary:

Not provided

Apollo.io

Expiration Date

Until further notice

Requirements

10+ years of software engineering experience with a focus on production systems
1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage
Experience building multi-step AI agents, LLM chaining, and complex workflow automation
Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
Expert-level Python skills for production AI systems
Strong experience building scalable backend systems, APIs, and distributed architectures
Experience with LangChain, LlamaIndex, or other LLM application frameworks
Proven ability to integrate multiple APIs and services to create advanced AI capabilities
Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)

Job Responsibility

Design and Deploy Production LLM Systems
Agent Development
Prompt Engineering Excellence
System Integration
Evaluation & Quality Assurance
Performance Optimization
Cross-functional Collaboration

Software Engineer - Fullstack Mobile

Truveta is the world’s first health provider led data platform with a vision of ...

Location

United States , Seattle

Salary:

94000.00 - 120000.00 USD / Year

Truveta

Expiration Date

Until further notice

Requirements

BS/MS degree in Computer Science or related technical discipline, or equivalent experience
1+ years of professional experience developing modern iOS applications using Swift and SwiftUI
1+ years of experience with frontend telemetry (Datadog, OpenTelemetry, or similar) for real-user monitoring
Exposure to backend development and service architecture
Python (Flask, FastAPI) strongly preferred
Experience collaborating in cross-functional teams with product and design
Strong communication and teamwork abilities to work effectively across disciplines

Job Responsibility

Build delightful, performant, and reliable iOS experiences using Swift and SwiftUI
Contribute to the design and implementation of APIs and services that power core product features
Collaborate across product, design, ML, and backend teams to deliver cohesive, high-quality experiences
Enhance observability and monitoring to ensure system health, performance, and rapid issue resolution
Bring curiosity and creativity to problem-solving, always learning new technologies and best practices to sharpen skills
Keep the user at the center of every decision, ensuring an intuitive and trustworthy experience
Commit to ongoing training in areas like privacy, ethics, and security to uphold user trust and product integrity

What we offer

Comprehensive benefits with strong medical, dental and vision insurance plans
401K plan
Professional development & training opportunities for continuous learning
Work/life autonomy via flexible work hours and flexible paid time off
Generous parental leave
Regular team activities (virtual and in-person)
Additional compensation such as incentive pay and stock options for certain roles

Fulltime

Backend Engineer - Real User Monitoring

Coralogix

Location:
Israel , Ramat Gan

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 07, 2025

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