senior backend engineer

Chargie

<div>Description:
<ul><li>Work Location Note - Open to national candidates who would work remotely if not in LA area</li></ul>
Strategic Imperative
Chargie is a leading provider of intelligent, intuitive, and reliable electric vehicle charging solutions for modern commercial buildings, multifamily communities, and the growing number of EV drivers. Our vision is to create infrastructure that powers communities in the all-electric future. We are seeking a talented and motivated Senior Data &amp; Backend Engineer to join our team and play a key role in a fast-paced startup environment. If you&rsquo;re passionate about the EV revolution, we&rsquo;d love to hear from you! Apply today to join Chargie and contribute to building a sustainable future.
About the Role
As a Senior Data &amp; Backend Engineer, you will stand up and support the data platform that powers analytics, BI reporting, and operational visibility across one of the fastest-growing EV charging networks in the country &mdash; while also being able to step directly into backend development when the team needs additional support.
This is a hybrid role at the intersection of data engineering and backend software engineering. You will own the design, build-out, and ongoing support of data pipelines and big-data infrastructure, while remaining hands-on enough to contribute to API development, debug production issues, and support backend services alongside the core engineering team. You will operate with a high degree of autonomy in a lean, high-impact team, directly shaping how data flows, is modeled, and is surfaced to the business.
Beyond platform reliability, this role is an opportunity to help shape how AI is applied across the engineering organization. We are actively looking to leverage AI-powered tooling to improve internal scale, efficiency, and operational workflows &mdash; and this person will be a hands-on contributor to that effort.
Key Responsibilities<ul><li>
Design, build, and support scalable data pipelines and big-data platform infrastructure, from ingestion through transformation to reporting layers.</li><li>
Own data architecture and modeling decisions that support analytics, BI reporting, and operational tooling across the organization.</li><li>
Build and maintain BI/reporting layers and dashboards for internal stakeholders and leadership, using tools such as Power BI (Microsoft Fabric experience a plus).</li><li>
Step into Node.js backend development and production support as needed &mdash; contributing to internal GraphQL APIs and RESTful/event-driven services alongside the core engineering team.</li><li>
Design and maintain integrations with third-party platforms, vendor APIs, and IoT/OCPP-based EV charging infrastructure systems.</li><li>
Build and support integrations with business systems (e.g., Zoho, Atlassian, NetSuite) to connect engineering, operations, and business data.</li><li>
Support external reporting to vendors and utilities as this area of demand grows, providing additional coverage alongside the engineering team (a plus).</li><li>
Support and improve AWS infrastructure relevant to data and backend services, including deployment pipelines, monitoring, and cost optimization.</li><li>
Partner with engineering leads, product, and operations teams to define and deliver features supporting network management, customer experience, and enterprise integrations.</li><li>
Establish and uphold quality standards including code review, documentation, testing practices, and CI/CD integration across both data and backend workstreams.</li><li>
Leverage AI-assisted development tools (e.g., Claude, Cursor AI) to accelerate development velocity, improve code quality, and explore AI-powered capabilities within the product.</li></ul>
Requirements:

Qualifications<ul><li>
Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience).</li><li>
5+ years of experience spanning data engineering and backend software engineering, with a track record of standing up and supporting big-data platforms.</li><li>
Strong SQL skills and hands-on experience with relational databases, data modeling, schema design, and ETL/data pipeline development.</li><li>
Required: hands-on experience with AWS (Lambda, RDS, S3, SQS, API Gateway, or similar) and cloud-native data/backend architecture.</li><li>
Required: working proficiency in Node.js, with the ability to contribute to and support production backend services.</li><li>
Experience building and consuming GraphQL APIs; comfortable working with REST as well, particularly for external-facing reporting and integrations.</li><li>
Experience building or maintaining BI/reporting layers; Power BI experience preferred, Microsoft Fabric experience a plus.</li><li>
Experience integrating with business systems such as Zoho, Atlassian (Jira/Confluence), or NetSuite is a plus.</li><li>
Experience with Splunk and machine learning (ML) is a plus.</li><li>
Preferred (not required): experience with CI/CD pipelines and modern DevOps practices, including tools such as Bitbucket, Jenkins, and Argo.</li><li>
Experience with external reporting to vendors and/or utilities (e.g., regulatory or utility data submissions) is a plus.</li><li>
Experience with or strong interest in AI-assisted development tools and integrating AI/LLM capabilities into data and backend workflows.</li><li>
Strong system-level thinking, problem-solving, and debugging skills across distributed data and backend environments.</li><li>
Self-directed, ownership-oriented, and comfortable with ambiguity; able to operate with a high degree of autonomy in a resource-constrained startup environment.</li></ul>
All positions within Chargie require the following (unless otherwise specified or required for the job):<ul><li>
Sit up to 5 hours per day</li><li>
Stand up to 5 hours per day</li><li>
Lift, carry, push up to 25 lbs.</li><li>
Ability to travel as required</li><li>
Ability to listen, read, organize thoughts, analyze, and communicate (both in verbal and written form, in English, in a concise and professional manner).</li><li>
Ability to type on a keyboard and utilize the computer work tools constantly and with proficiency (specifically the MS Office Suite)</li><li>
Timely communication and responsiveness to peers and management</li><li>
Regular and consistent attendance to work and meetings</li><li>
Ability to receive and offer feedback in a professional and positive manner</li><li>
Adherence to company policy and behavior in accordance with our values and norms.</li></ul></div>

Senior Data & Backend Engineer

autobia | أوتوبيا

<div>
 
 We are looking for a Full-Stack Software Engineer to join the Autobia team. This role works across a Ruby on Rails codebase with a strong backend lean &mdash; most of your time on services, data, and integrations, while comfortably handling the front end when the feature needs it. This is high-volume money movement, processing thousands of BNPL and POS transactions, so correctness, reliability, and scale all matter.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Build, ship, and operate Rails backend services and full-stack features.
 </li>
 <li>
 Own your work end to end: design, implementation, testing, deployment, production support.
 </li>
 <li>
 Build and maintain integrations with internal and external services.
 </li>
 <li>
 Write clear, maintainable code and contribute to the squad's technical decisions.&nbsp;
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Mid&ndash;senior full-stack engineer, backend-strong, with solid Ruby on Rails experience.
 </li>
 <li>
 3&ndash;5 years of professional full-stack experience.
 </li>
 <li>
 Strong fundamentals: API design, data modeling, relational databases, testing.
 </li>
 <li>
 Comfortable across the stack &mdash; can build and debug front-end features when needed.
 </li>
 <li>
 Proven with high-traffic, high-throughput systems &mdash; performance under load is part of the job.
 </li>
 <li>
 Ownership mindset: takes a problem from ambiguity to shipped and supported.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have:
 
 
 <ul>
 <li>
 Payments, BNPL, POS, or other money-movement / fintech experience.
 </li>
 <li>
 Experience operating high-reliability, correctness-critical systems.
 </li>
 <li>
 Knowing PostgreSQL is a plus.
 </li>
 <li>
 As a full-stack role, knowing React is a plus.
 </li>
 <li>
 Experience with GKE or AWS is a plus.
 </li>
 </ul>
</div>

Full-Stack Software Engineer — Ruby

DOJO Air

<div>
 
 
 Company Description
 
 Dojo Air is the world&rsquo;s first breath intelligence platform, redefining how people understand, monitor, and optimize respiratory health. Powered by a breakthrough modular sensor that captures breath at 2,000 samples per second, the company delivers real-time respiratory insights for both everyday users and healthcare professionals. Backed by a granted U.S. utility patent and a three-tier AI architecture, Dojo Air combines on-device coaching, adaptive server-side intelligence, and conversational AI to create a comprehensive health ecosystem. The platform positions breath as the fourth pillar of health, alongside diet, exercise, and sleep, and supports both consumer performance and wellbeing as well as clinical environments where respiratory monitoring is critical.
 
 
 
 
 
 
 Junior Mobile Developer
 
 
 
 We're building a connected health hardware product: a custom device that streams real-time sensor data over Bluetooth to a companion mobile app that guides users through structured training sessions and tracks their progress. We have working hardware, a production app in testers' hands, and a clear roadmap to launch.
 
 
 
 
 
 This is a true entry-level role &mdash; no professional experience required. You'll work directly under our senior mobile engineer, learning by shipping: real features, real code review, and a clear growth path on a small team where your work is visible in the product immediately.
 
 
 
 
 
 
 What you'll do
 
 
 
 - Build app screens and UI components in React Native and TypeScript, with guidance and code review from a senior engineer
 
 
 - Write and maintain automated tests alongside every feature you ship
 
 
 - Investigate and fix bugs reported by our testers, learning to trace issues through a real production codebase
 
 
 - Grow into the deeper layers of the stack over time &mdash; data sync, backend, and eventually the Bluetooth and hardware integrations &mdash; at a pace matched to your progress
 
 
 - Participate in code reviews, standups, and release testing as a full member of the team
 
 
 
 
 
 
 What makes this role interesting
 
 
 
 - Learn on a codebase worth learning from: 600+ automated tests, CI-gated releases, and modern tooling
 
 
 - Software meets hardware: the app you work on talks to a physical device in real time
 
 
 - Real mentorship: you'll be the second engineer, working directly with the person who owns the platform
 
 
 - Growth path: the goal is for this role to grow into an independent mid-level engineer as we scale
 
 
 
 
 
 
 Required qualifications
 
 
 
 - Solid JavaScript or TypeScript fundamentals and a working understanding of React (from coursework, bootcamp, personal projects, or open source &mdash; we don't care which)
 
 
 - You've built a personal project using Claude Code or a similar AI coding tool (Cursor, Copilot, etc.) &mdash; and you can walk us through it: what you built, how you directed the tool, what it got wrong, and how you caught and fixed it
 
 
 - Basic Git literacy: branches, commits, pull requests
 
 
 - Curiosity and follow-through: comfortable saying "I don't know," asking questions, and digging until something makes sense
 
 
 - Receptive to code review and able to iterate on feedback without taking it personally
 
 
 
 
 
 
 Nice to have
 
 
 
 - Any exposure to React Native, Expo, or mobile development
 
 
 - Any experience writing tests, in any framework
 
 
 - Familiarity with SQL or any backend basics
 
 
 - Interest in hardware, health tech, or embedded systems
 
</div>

Junior Mobile App Developer

VeeRteq Solutions Inc.

<div>Role:Azure Data / Search Engineer (Databricks / ElasticSearch / Python)
Experience: - Min8+ Years
Location: - Irving, TX (Hybrid 3 days Work from Office)
Looking for a strong Azure Data Engineer / Senior Software Engineer with strong expertise in Python, Databricks, SQL, Elasticsearch, Kafka, and Azure, responsible for building scalable search platforms, REST APIs, event-driven data pipelines, and cloud-native distributed systems supporting high-volume enterprise applications.
Roles and Responsibilities: -
Resource will be responsible to design, build, and support client, our enterprise search and intelligent matching platform.
This role will develop scalable APIs, high-performance search capabilities, event-driven data pipelines, and cloud-native services supporting millions of transactions daily.
The consultant will work across Azure, Elasticsearch, Kafka, Databricks, Python, and distributed systems to build highly available, low-latency applications.
The ideal candidate has strong backend engineering experience with cloud-native architectures, search technologies, REST APIs, event streaming, and large-scale data processing.
Design and develop scalable backend services using Python. Build and maintain REST APIs supporting enterprise applications. Design and optimize Elasticsearch indexes, queries, mappings, and search relevance.
Develop intelligent search and matching capabilities for large-scale datasets. Build event-driven architectures using Kafka and Azure Event Hub. Design high-throughput data ingestion and indexing pipelines. Integrate applications with Databricks and enterprise data platforms.
Develop secure cloud-native applications on Microsoft Azure. Implement CI/CD pipelines and automated deployment processes.
Monitor application health, logging, observability, and production performance. Optimize API response time, indexing performance, and infrastructure utilization. Participate in architecture, design reviews, code reviews, and production support.
Collaborate with product managers, architects, data scientists, and engineering teams.
Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
Mandatory skills
Programming Python (required) SQL REST APIs JSON FastAPI (preferred) Async Python Cloud Microsoft Azure Azure App Services Azure Linux VMs Azure Container Apps / AKS (preferred) Azure Managed Identity Azure Key Vault Azure Storage Azure Monitor Azure Event Hub Search
Technologies Elasticsearch Query DSL Relevance tuning Mapping design Aggregations Multi-search (msearch) Bulk indexing Search optimization Index lifecycle management Event Streaming Apache Kafka Confluent Cloud Producers / Consumers Kafka Connect Schema Registry
Event-driven architecture Data Engineering Databricks PySpark Delta Lake Data ingestion pipelines ETL/ELT DevOps Git Azure DevOps Azure Pipelines CI/CD Docker Infrastructure as Code (Terraform or Pulumi preferred) Databases PostgreSQL SQL Server Relational Databases Required
ExperienceMin 8+ years of software engineering experience. Strong Python backend development experience. Experience designing and operating production REST APIs.
Strong experience with Elasticsearch in production environments. Experience building scalable search platforms. Experience with Kafka or enterprise event-streaming platforms. Experience deploying applications on Microsoft Azure. Experience with CI/CD pipelines and automated deployments.
Experience troubleshooting production systems and performance issues. Strong understanding of distributed systems and microservices.
Preferred Qualifications:
Experience with AI-assisted search or intelligent matching platforms. Experience with Databricks and Delta Lake.
Experience with machine learning integration. Experience with semantic search or vector search.
Experience with Azure OpenAI or LLM integration. Healthcare or supply chain experience. Experience using GitHub Copilot or Codex.
VeeRteq Solutions is an Equal Opportunity Employer</div>

Azure Data / Search Engineer

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for a
 
 Senior Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology team. In this role, you&rsquo;ll build and operate the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. The primary goal of this role is to treat AI adoption as an internal product, empowering engineering teams to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 As a Senior Software Engineer - Agentic Foundation, you&rsquo;ll partner with engineering, product, product design, data, security, and business systems teams to design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle. Use your backend systems depth, DevOps instincts, and hands-on AI workflow expertise to accelerate developer productivity and shape the agentic future of construction software. Shape the cutting-edge future of AI-driven developer platforms &mdash; join us today!
 
 
 This position reports into a Senior Manager, Software Engineering and will be based in our Cairo, Egypt office. We&rsquo;re looking for someone to join us immediately.
 
 
 
 What you&rsquo;ll do:
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction.
 </li>
 <li>
 Design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle &mdash; from code generation and review to test orchestration and deployment.
 </li>
 <li>
 Build the feedback loop between AI tool usage and engineering outcomes by instrumenting how agentic workflows impact cycle time, change failure rate, and developer throughput.
 </li>
 <li>
 Evaluate and integrate AI tools and frameworks into Procore's supported agentic tooling suite, making build-vs-buy decisions grounded in real usage and team feedback.
 </li>
 <li>
 Vet community-built skills and tools contributed by engineers across the organization, define evaluation criteria, and promote successful solutions into the officially supported tooling suite.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Master generative tools and agentic workflows to actively build the automated future of construction software.
 
 
 </li>
 </ul>
 
 What we&rsquo;re looking for:
 
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, a related technical field, or equivalent practical experience.
 </li>
 <li>
 Strong technical fundamentals in at least one of the following: Ruby on Rails, Python, or TypeScript, alongside comfort reading and contributing across multiple languages.
 </li>
 <li>
 Hands-on experience with AI coding tools (e.g., Claude, Cursor, Copilot) and building or customizing AI-assisted workflows (e.g., prompt engineering, MCP integrations, evals, or agentic pipelines).
 </li>
 <li>
 Solid DevOps instincts regarding deployment strategies, rollback mechanisms, feature flags, Kubernetes service operation, and CI/CD pipeline management.
 </li>
 <li>
 Adaptable and experimental characteristic mindset with the ability to explore uncharted territory, evaluate fast-moving AI technologies critically, and distinguish proven solutions from trends.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling, LLM evaluation frameworks, or AI/LLM Gateways (such as MCPs or MCP Gateways) is highly preferred.
 </li>
 <li>
 Familiarity with how AI Agents and LLMs work under the hood, or previous experience working within Developer Platform, DevOps, or Developer Experience teams is a plus.
 </li>
 </ul>
</div>

Senior Software Engineer, Agentic Foundation

Cwill

<div>About CWILL
CWILL (pronounced 'quill') is a post-purchase and retention suite built for Shopify brands. Reduce support tickets, recover lost revenue from returns, and turn one-time buyers into loyal fans &mdash; with tools purpose-built for every touchpoint that follows the sale.
About the Role
CWILL's engineering teams are building the next generation of SaaS products for Shopify brands &mdash; including AI-powered customer service tools and SEO optimization products. As our products grow, so does our need for strong engineering talent who can learn fast and ship real things.
Our R&amp;D Management Trainee program is built for engineers who are new to the workforce but ready to dig in. You'll be embedded in a product engineering team, working on production systems from day one with mentorship from senior engineers. Over time, you'll grow into an engineer who can independently own modules and make technical decisions.
You'll be placed on one of our active product teams:<ul><li>
Order Tracking</li><li>
Loyalty &amp; Referrals</li><li>
Pop-up &amp; Email Marketing</li><li>
AI Chat</li><li>
SEO &amp; Speed</li></ul>
What You'll Do
Product Feature Development<ul><li>
Build features across the full stack with a backend focus: APIs, business logic, data processing, and third-party integrations</li><li>
Participate in technical solution design, coding, integration testing, and deployment</li><li>
Take ownership of the quality of the features you build and deliver them to spec</li></ul>
System Maintenance &amp; Bug Fixes<ul><li>
Assist with production bug investigation, root cause analysis, and resolution</li><li>
Use logging, monitoring, and database tools to trace issues methodically</li><li>
Contribute to ongoing improvements in system stability, performance, and code maintainability</li></ul>
Engineering Collaboration &amp; Growth<ul><li>
Follow team engineering standards: code reviews, documentation, and testing</li><li>
Proactively communicate progress, risks, and blockers</li><li>
Participate in post-launch retrospectives; continuously improve your code quality and engineering judgment</li><li>
As you grow, take on increasing ownership of modules and technical decisions</li></ul> 

Requirements 
<ul><li>
Recent graduate from a US university (BS or MS), or within 1&ndash;2 years of graduation</li><li>
Proficiency in at least one backend language: JavaScript/TypeScript, Python, Java, Go, or PHP</li><li>
Web fundamentals: HTTP, RESTful API design, frontend-backend interaction, and relational databases</li><li>
Basic SQL and database understanding (MySQL or PostgreSQL)</li><li>
Able to read documentation, debug systematically, and own your work through completion</li><li>
Reliable and communicative &mdash; you surface problems early and follow through on commitments</li></ul>
Nice to Have<ul><li>
Experience with any of: React, Node.js, Next.js, NestJS, Python, PostgreSQL, Redis</li><li>
AI/LLM project experience: prompt engineering, RAG, knowledge bases, chatbots, or content generation</li><li>
Shopify app development, independent store tech, SEO tools, or SaaS product experience</li><li>
Internship at a tech or SaaS company; open source contributions or personal project portfolio</li><li>
Familiarity with Docker, CI/CD, or cloud services (AWS, Aliyun, etc.)</li><li>
Active GitHub profile with consistent commit history</li><li>
Competitive programming background (ACM, LanQiao Cup, etc.)</li><li>
Experience with AI-assisted development tools (Cursor, GitHub Copilot, Claude Code, etc.)</li><li>
Mandarin Chinese communication ability</li></ul> 
Benefits 
Starting Pay: 60 - 80k depends on experiences, open to negotiation<ul><li>
401(k)</li><li>
PTO
</li><li>Paid Holidays</li><li>
Insurance</li></ul></div>

R&D Management Trainee - Full-Stack Engineer (Backend)

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4809 senior backend engineer jobs Near Me

Senior Data & Backend Engineer

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R&D Management Trainee - Full-Stack Engineer (Backend)

R&D Management Trainee - Full-Stack Engineer (Backend)