backend engineer

Kontrora

<h3>About the role</h3>We are seeking a dedicated Backend Engineer to join our remote team on a part-time basis. In this role, you will be instrumental in developing, enhancing, and maintaining backend systems that support our core applications. You will collaborate with cross-functional teams to deliver robust solutions that meet the needs of our users.<h3>Key responsibilities</h3><ul><li>Design, develop, and maintain scalable backend services and APIs to support application functionality.</li><li>Collaborate with frontend engineers and product managers to create seamless integrations between the backend and user interfaces.</li><li>Participate in code reviews and contribute to team best practices, ensuring high-quality and maintainable code.</li><li>Troubleshoot and resolve performance issues, bugs, and other technical challenges in a timely manner.</li><li>Write and maintain comprehensive documentation for backend services, APIs, and system architecture.</li><li>Continuously learn and apply best practices in software development, including testing, version control, and deployment processes.</li></ul><h3>Requirements</h3><ul><li>Proficiency in at least one modern programming language such as Python, Java, Node.js, or Ruby.</li><li>Familiarity with web frameworks and RESTful API design principles.</li><li>Understanding of database management systems, both SQL and NoSQL, and their application in backend architectures.</li><li>Basic knowledge of cloud services and platforms (e.g., AWS, Google Cloud, Azure) as they relate to backend development.</li><li>Strong problem-solving skills and the ability to work independently in a remote work environment.</li><li>Effective communication skills to collaborate with team members and stakeholders.</li></ul><h3>Nice to have</h3><ul><li>Experience with Agile development methodologies and version control systems, particularly Git.</li><li>Exposure to microservices architecture and containerization technologies like Docker.</li><li>Familiarity with CI/CD pipelines and automated testing frameworks.</li><li>Interest in learning about new technologies and applying them to improve our backend systems.</li><li>Prior involvement in open-source projects or contributions to community forums.</li></ul><h3>Why join us</h3>Joining our team means becoming part of an innovative and collaborative environment where your ideas and contributions will be valued. You will have the opportunity to work alongside talented professionals who are passionate about technology and committed to growth. With flexible working hours and a supportive culture, you will be able to balance your professional and personal life while enhancing your skills and advancing your career in backend engineering.

Backend Engineer

Nuclear

<div>The Nuclear Company is the fastest growing AI tech-startup in the nuclear and energy space, pioneering a fleet-scale approach to building the next generation of nuclear reactors. Through our design-once, build-many model, we're accelerating the deployment of safe, reliable, and affordable nuclear energy.

We operate with an AI-first mindset. Every employee is expected to leverage AI, technology, and the Nuclear Operating System (NOS) as integral components of their role to improve the quality, speed, and impact of their work. We expect every team member to continuously identify opportunities to automate workflows, enhance decision-making, improve processes, and contribute to the ongoing evolution of NOS as a strategic operating capability that enables The Nuclear Company to scale with excellence.

We hire people who are driven by purpose, thrive in ambiguity, and are energized by building what has never been built before. Our team combines intellectual curiosity with high agency, embraces candid feedback and continuous learning, and holds themselves and others to exceptional standards. Our values&mdash;Trust, Responsibility, Unity, Scrappiness, and Tenacity&mdash;guide how we hire, collaborate, and make decisions every day. They are not words on a wall; they are the standard by which we operate. Trust is the foundation of our safety culture, fostering intellectual honesty, accountability, and open communication, while our values challenge every team member to execute with urgency, humility, resilience, and an unwavering commitment to our mission.

About the role

The Nuclear Company is hiring a Backend Engineer to build the server-side systems behind NOS modules and applications. You will report to the Director of Product Engineering and work in the Product Engineering squad. NOS is the software platform behind one of the largest nuclear buildouts in the United States, and this role builds the APIs, services, and data access the products run on.

This is a hands-on engineering role. You will design and build backend services and APIs for NOS applications, model and access data, and make sure the server side is reliable, secure, and fast. You work with the Staff Software Engineer and product engineers on the applications and with the platform squad on shared services.

You will write production code, review pull requests, debug production issues, and build backends that hold up in a regulated, safety-critical setting.

Responsibilities
<ul>
<li>Build backend services and APIs. Design, build, and maintain the server-side systems behind NOS modules and applications.</li>
</ul><ul><li>Model and access data. Design schemas, queries, and data access patterns that are correct and performant.</li>
</ul><ul><li>Keep the backend reliable and secure. Build for uptime, handle errors well, and follow security and access-control requirements.</li>
</ul><ul><li>Integrate with the platform. Use shared platform services, data, and integrations rather than rebuilding them.</li>
</ul><ul><li>Support the full lifecycle. Write tests, wire services into CI/CD, and support what you ship in production.</li>
<li>Partner with product and platform engineers. Work across the squads so backends fit the applications and the platform.</li>
</ul>
Required Experience
<ul>
<li>5+ years building production backend systems and APIs.</li>
</ul><ul><li>Bachelor's or Master's in Computer Science, Software Engineering, or a related technical field, or equivalent production experience.</li>
</ul><ul><li>Strong skills in at least one backend language (Python, Go, Java, TypeScript, or similar).</li>
</ul><ul><li>Experience designing APIs and working with relational and/or non-relational databases.</li>
</ul><ul><li>Experience with at least one major cloud (AWS preferred) and modern CI/CD.</li>
</ul><ul><li>A solid grounding in testing, security, and reliability practices.</li>
</ul><ul><li>Good written and verbal communication.</li>
</ul>
Preferred Experience
<ul>
<li>Experience in a regulated or safety-critical industry (nuclear, aerospace, defense, energy, medical).</li>
</ul><ul><li>Experience with event-driven systems, streaming, or real-time data.</li>
</ul><ul><li>Experience with OT/IT integration or industrial data.</li>
</ul><ul><li>Experience building backends for mobile or in-field applications.</li>
</ul>
Benefits
<ul>
<li>Competitive compensation packages</li>
<li>401k with company match</li>
<li>Medical, dental, vision plans</li>
<li>Generous vacation policy, plus holidays</li>
</ul>
Estimated Starting Salary Range 
The estimated starting salary range for this role is $121,000 - $165,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role.

EEO Statement 
The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.
<div>
Export Control 
Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.</div>
<div></div>
<div>Recruiting Fraud Alert 
Your safety is our priority. We want to ensure your job search stays secure. Please note that the team at The Nuclear Company only communicates through official @thenuclearcompany.com email addresses. We will never ask for payments or sensitive financial information at any stage of our recruitment process. For your peace of mind, please verify all openings and submit your applications directly through our official careers page.</div></div>

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

Freehand

<div><h2 class="jobSectionHeader">About Freehand</h2>
Most AI companies are building tools. We're building the worker.
Freehand's AI agents replace the human decision-making and coordination layer that sits above enterprise software &mdash; handling the analysis, negotiation, prioritization, and execution that previously required armies of logisticians / supply chain professionals.
Our customers include Apple, Meta, GE, Pfizer, J&amp;J, Schlumberger, Cardinal Health, and Unilever. They chose us because we have a fundamentally different answer to what enterprise software looks like when AI can do the job.
If you want to work on something that matters, with people who will push you to be sharper than you thought you could be, this is the place.<h2 class="jobSectionHeader"> 
The Role &amp; The Team</h2>
As a Backend Engineer at Freehand, you will build the distributed systems, APIs, and AI agent infrastructure that power AI-driven enterprise execution. You will design and scale backend services that orchestrate agents, enforce business rules, integrate deeply with ERPs and financial systems, and ensure that every action taken by AI is secure, traceable, and reliable.
This is not CRUD SaaS work. You will be building the backend for autonomous systems handling real money and real risk&mdash;and the observability and testing infrastructure to keep those systems trustworthy at scale.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>High-throughput, low-latency backend services that power AI agent execution</li><li>Workflow orchestration systems for complex, multi-step enterprise processes</li><li>Rule engines and policy enforcement layers for enterprise compliance</li><li>APIs and integrations with ERPs, procurement tools, payment rails, and data providers</li><li>Observability, audit, and traceability systems for AI-driven decisions</li><li>Secure data pipelines handling sensitive financial and operational data</li><li>Agent execution runtimes, multi-agent coordination, and observability pipelines for AI-driven workflows</li><li>Evaluation and testing harnesses to validate agent behaviour, reliability, and output quality</li></ul><h2 class="jobSectionHeader">
Key Responsibilities</h2> 
Backend &amp; Systems Engineering<ul><li>Design and build scalable backend services using modern system design principles</li><li>Own critical services that manage procurement, invoice, contract, and payment workflows</li><li>Implement orchestration logic that coordinates AI agents, humans, and enterprise systems</li><li>Build resilient systems with strong guarantees around idempotency, retries, and failure handling</li></ul> 
API &amp; Integration Development<ul><li>Build and maintain robust APIs consumed by AI services, frontend apps, and external systems</li><li>Integrate deeply with ERP systems, procurement platforms, and payment gateways and financial rails</li><li>Handle complex data normalisation and transformation across enterprise systems</li></ul> 
AI Agent Building, Observability &amp; Testing<ul><li>Build agent execution runtimes: tool calling, context management, memory, and multi-step reasoning loops</li><li>Implement multi-agent coordination&mdash;parallel and sequential workflows with human-in-the-loop escalation</li><li>Instrument agent execution with full trace capture: tool calls, LLM I/O, latency, token usage, and cost</li><li>Design evaluation frameworks for agent output quality, task success rate, and regression detection</li><li>Build automated test harnesses for agent pipelines&mdash;unit, integration, and replay-based regression tests</li><li>Define and track agent reliability metrics: task completion rate, escalation rate, cost per workflow, and SLA adherence</li></ul> 
Reliability, Security &amp; Compliance<ul><li>Design systems with enterprise-grade reliability, monitoring, and alerting</li><li>Implement fine-grained access controls, audit logs, and data security best practices</li><li>Ensure backend systems meet compliance requirements for financial and regulated data</li></ul>
Performance &amp; Scale<ul><li>Optimize backend systems for latency, throughput, and cost efficiency</li><li>Design services that scale across global customers and billions of transactions</li><li>Proactively identify and fix bottlenecks in distributed systems</li></ul><h2 class="jobSectionHeader"> 
Required Skills &amp; Experience</h2> 
Core Backend Skills<ul><li>Strong experience building production backend systems</li><li>Strong proficiency in Python, NodeJS, Go, or similar backend languages</li><li>Deep understanding of distributed systems, APIs and microservices, databases (SQL and NoSQL), and message queues / event-driven architectures</li></ul>
System Design<ul><li>Proven experience designing scalable, fault-tolerant systems</li><li>Strong grasp of consistency, concurrency, and data integrity trade-offs</li><li>Experience building workflow engines or state-driven systems is a plus</li></ul> 
Enterprise &amp; Data Context<ul><li>Experience working with financial systems, enterprise SaaS platforms, or sensitive/regulated data</li><li>Comfort operating in environments where backend failures have a real business impact</li></ul><h2 class="jobSectionHeader"> 
Bonus (Nice to Have)</h2><ul><li>Experience with multi-agent orchestration and agent-to-agent communication protocols</li><li>Familiarity with event sourcing, rule engines, or policy systems</li><li>Knowledge of production debugging at scale and observability tooling</li><li>Contributions to or experience with open-source LLM tooling ecosystems</li><li>Experience with agent observability tooling (LangSmith, Arize, Helicone, or custom trace pipelines) and eval design</li><li>Experience building LLM-powered systems in production; familiarity with agent frameworks (LangChain, CrewAI, or custom)</li></ul><h2 class="jobSectionHeader"> 
Working at Freehand</h2>
Series C, ~100 people across the US and India. Big enough to have infrastructure, small enough that your work is visible. We run on five core operating principles; these are not values-on-a-wall, this is the exact philosophy we built our AI agents on :<ul><li>
Context Before Confidence. We get in, ask (a ton of) questions, connect the dots ourselves and move fast. No passengers, no hand-holding. The amount of confidence you'll have in Week 1 is directly proportional to the context strive to gain.</li><li>
Decisions, not Recommendations. Freehand folks decide, they don't present options. You'll have real autonomy, and real accountability to match.</li><li>
High Agency, High Trust. We won't manage you closely or ask you to escalate every call. Act, share your reasoning, and course-correct when needed. That's the contract.</li><li>
Accountability is the Product. When something goes wrong &mdash; and it will &mdash; we name it, learn from it, and move on. No politics, no cover. Just fix it.</li><li>
The Work That Remains is the Work That Matters. We actively cut low-value work. What lands on your plate is there because it matters &mdash; and can only be done by you.</li></ul>
It's a small world. Freehand employees Work Anywhere across US &amp; India (we're remote &amp; travel-first). As and when required, for this role, we will also arrange for a fully-paid trip to our HQ in Chennai to meet &amp; interact with cross-functional teams.
In addition, we proudly offer the following Benefits to all our full-time employees:<ul><li>
Full Health coverage (accidental, life, vision, dental &amp; health consultations)</li><li>
Monthly home-internet costs</li><li>
Flexible working hours</li><li>
Complimentary food &amp; snacks at the Chennai HQ</li></ul>
Equal Opportunity
Freehand hires on merit &mdash; your thinking, your track record, your potential &mdash; without regard to race, gender, age, religion, sexual orientation, national origin, disability, or any other protected characteristic. If you meet most of the criteria above but not all of it, apply anyway. We care more about your willingness to learn &amp; take initiative than whether your resume maps perfectly to every line.</div><div></div>

Backend Engineer India/US

OpenAI

<div>
 
 About The Team
 
 
 
 The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.
 
 
 TLDR: this team leverages OpenAI technology to improve OpenAI, and you&rsquo;ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a
 
 Backend Software Engineer
 
 with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI&rsquo;s support automation. This is a deeply technical and highly cross-functional role where you&rsquo;ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design eval pipelines that are reliable, reproducible, and extendable
 </li>
 <li>
 Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation
 </li>
 <li>
 Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems
 </li>
 <li>
 Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.
 </li>
 <li>
 Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows
 </li>
 <li>
 Own the full development lifecycle of new backend systems and internal platform capabilities
 </li>
 <li>
 Build with scale and maintainability in mind, while rapidly iterating on new ideas
 
 
 </li>
 </ul>
 
 You Might Be a Great Fit If You Have
 
 
 
 <ul>
 <li>
 4+ years of backend engineering experience at product-driven companies (excluding internships)
 </li>
 <li>
 Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres
 </li>
 <li>
 Experience designing and scaling distributed systems, APIs, or data processing pipelines
 </li>
 <li>
 Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding
 </li>
 <li>
 Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.
 </li>
 <li>
 Experience creating production evals and/or measuring performance of ML/LLM models at scale
 </li>
 <li>
 A pragmatic mindset. You&rsquo;re comfortable shipping iteratively while building toward a long-term vision
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $385K
 
 
</div>

Backend Software Engineer (Evals)

Kentan Staffing Solutions

<div><div><h1 class="jobSectionHeader">Founding Software Engineer
</h1>Location: New York, NY (Onsite)
Employment Type: Full-Time | Direct Hire
Compensation: $200,000&ndash;$220,000 Base Salary + Equity (Competitive Benefits)
Interview Process: 3 Interviews
<h2 class="jobSectionHeader">Position Overview
</h2>Our client, a rapidly growing AI startup revolutionizing the insurance industry, is seeking a Founding Software Engineer to join its core Engineering team. This is a unique opportunity to become an early engineering hire, helping build the platform that powers enterprise AI agents used by some of the world's largest insurance carriers.
This role is ideal for an experienced software engineer who thrives in early-stage startup environments and enjoys solving complex distributed systems challenges. You'll play a foundational role in designing scalable infrastructure, developing AI-powered platforms, and building the engineering systems that enable rapid product innovation.
The ideal candidate is highly autonomous, technically exceptional, and excited by the opportunity to own critical systems from architecture through production. Culture fit is extremely important&mdash;the team values individuals who are personable, collaborative, scrappy, and capable of moving quickly with minimal direction.
<h2 class="jobSectionHeader">Key Responsibilities
</h2><ul><li>Design, build, and maintain the core platform powering AI agents across the organization.
</li><li>Develop highly scalable backend services and infrastructure using TypeScript, SQL, and modern cloud technologies.
</li><li>Build and optimize agent orchestration, execution platforms, and developer tooling.
</li><li>Design resilient distributed systems with fault tolerance, observability, retries, and graceful degradation.
</li><li>Develop internal platforms that improve engineering productivity, CI/CD pipelines, and automation workflows.
</li><li>Partner closely with Forward Deployed Engineers to rapidly transform customer feedback into production-ready features.
</li><li>Write technical specifications, review architecture, and deliver high-quality production code.
</li><li>Improve platform reliability, performance, security, and scalability while supporting rapid company growth.
</li><li>Contribute to engineering best practices, code reviews, and long-term platform strategy.
</li></ul><h2 class="jobSectionHeader">Required Qualifications
</h2><ul><li>4+ years of experience building production software in a Software Engineer, Backend Engineer, or Platform Engineer role.
</li><li>Strong programming experience with TypeScript and SQL .
</li><li>Experience designing and building scalable backend systems and distributed applications.
</li><li>Strong understanding of system architecture, APIs, databases, and cloud infrastructure.
</li><li>Experience building highly reliable systems with monitoring, observability, retries, circuit breakers, and fault tolerance.
</li><li>Experience working in regulated or security-conscious environments with strong auditing and compliance requirements.
</li><li>Self-starter with exceptional problem-solving skills and the ability to work independently in a fast-paced startup environment.
</li><li>Must be located in or willing to relocate to New York City.
</li></ul><h2 class="jobSectionHeader">Preferred Qualifications
</h2><ul><li>Experience building AI, LLM, or agent-based platforms.
</li><li>Experience with developer platforms, CI/CD automation, and internal engineering tooling.
</li><li>Background building high-performance distributed systems or infrastructure platforms.
</li><li>Experience working in high-growth startups or founding engineering teams.
</li><li>Familiarity with cloud-native architecture, containerization, and modern DevOps practices.
</li></ul><h2 class="jobSectionHeader">What We're Looking For
</h2><ul><li>Highly autonomous engineer who takes full ownership from concept to production.
</li><li>Scrappy, resourceful, and thrives in ambiguous, fast-moving environments.
</li><li>Strong technical leader with a builder's mindset and passion for creating scalable systems.
</li><li>Collaborative team player who enjoys working closely with product, engineering, and customer-facing teams.
</li><li>Passionate about leveraging AI to solve complex, real-world business challenges.
</li></ul>This is an exceptional opportunity to join a venture-backed AI startup at an early stage, working alongside an elite engineering team to build the next generation of autonomous AI systems while making a significant impact on both the product and the future direction of the company.</div></div>

Founding Software Engineer

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

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