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Humanforce

Senior Software Engineer

Humanforce is an all-in-one Human Capital Management (HCM) suite built for frontline and flexible workforces, simplifying scheduling, optimising costs, and automating compliance.

engineeringhybridSydney, AUfull-time

Benefits:

  • A flexible working environment

  • The opportunity to be part of a fast-growing tech company

  • A focus on development with access to Go1

  • Paid parental leave and Quarterly Wellbeing Days

  • Employee talent referral scheme (know great people, be rewarded)

Experience Requirements:

  • 5+ years of experience as a Software Engineer, ideally at a senior level.

  • Experience with: .NET framework (.NET Core preferred) and C#

  • JavaScript (TypeScript/Node)

  • AWS Cloud and AWS stack

  • Web development frameworks and practices

Other Requirements:

  • Strong QA principles, including unit and integration testing

  • Integration projects involving 3rd party APIs

  • Cloud-based development (AWS preferred)

  • Managing production issues and troubleshooting distributed systems

  • Proven experience managing complex releases across multiple cloud environments.

Responsibilities:

  • Write maintainable, high-quality, and easy-to-read code across our services, contributing to the team M-s delivery of features in an Agile environment.

  • Collaborate with teammates to design and implement architectural approaches that integrate our product suite in enterprise environments.

  • Work alongside team members on complex challenges, supporting each other with constructive code reviews and knowledge sharing.

  • Monitor system performance and contribute to solutions for scaling, security, and evolving business needs.

  • Strengthen our codebase by developing robust Unit, Integration, and UI Automation tests.

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Turnitin

Sr. AI Data Engineer

Turnitin is an AI writing detection solution for educators, reliably distinguishing between AI- and human-written text, specialized for student writing and academic integrity.

engineeringremoteBirmingham, GBfull-time

Benefits:

  • Remote First Culture

  • Health Care Coverage*

  • Education Reimbursement*

  • Competitive Paid Time Off

  • 4 Self-Care Days per year

Experience Requirements:

  • At least 4 years of experience in data engineering, ideally focused on AI/ML data infrastructure or enabling and accelerating AI R&D

  • Strong proficiency in Python, SQL, and Infrastructure as Code (Terraform, CloudFormation), with additional experience in modern orchestration frameworks (Airflow, Prefect, or dbt)

  • Proficiency with cloud-native data platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, Qdrant, or Chroma)

  • Experience with MLOps tools and platforms (HuggingFace, SageMaker Bedrock, Vertex AI), experiment tracking (MLflow, Weights & Biases), and model deployment pipelines

  • Experience with Large Language Models (LLMs), embedding generation, retrieval-augmented generation (RAG) systems, and frameworks for orchestrating LLM interaction (LiteLLM, LangFuse, LangChain, LlamaIndex)

Other Requirements:

  • Strong problem-solving, analytical, and communication skills, with the ability to design scalable AI data systems and collaborate effectively in cross-functional teams

Responsibilities:

  • AI Data Infrastructure & Pipeline Management for Applied AI: Design, build, and operate scalable real-time data pipelines that support ongoing Applied AI model training. Deploy and maintain robust data infrastructure using AI techniques and engineering best practices to ensure continuous model improvement and deployment cycles.

  • Data Collection: Execute initiatives for collecting, normalizing, and storing data across multiple sources, including external LLM providers.

  • Collaboration: Partner with AI R&D, Applied AI, and Data Platform teams to ensure seamless data flow and quality standards. Partner with stakeholders to collect, curate, and catalog high-quality datasets that directly support Applied AI retraining workflows and business objectives.

  • AI R&D Support: Provide secondary support to AI Research & Development efforts by applying advanced data warehousing and engineering technologies. Contribute to exploratory data initiatives that uncover insights from Turnitin's extensive data resources.

  • Communication: Maintain clear communication channels across teams, ensuring alignment with company vision while sharing insights on data infrastructure needs and potential innovations.

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Basis

Member of Technical Staff - Data Platform Lead

Basis is an AI agent platform specifically designed for accountants, providing intelligent systems that learn, reason, and take action to automate complex accounting workflows.

engineeringonsiteNew York, US
$100,000 - $300,000
full-time

Benefits:

  • Competitive cash and equity compensation

  • Equity plan and benefits program

Experience Requirements:

  • 5-10 years of designing and building data pipelines

  • Specific experience with accounting and file integrations is a plus

Other Requirements:

  • First principles reasoner

  • Proven leadership capabilities

  • Interdisciplinary and collaborative mindset

  • Strong company-building ethos

  • Full-time in-office commitment (NYC, 5 days a week)

Responsibilities:

  • Design, build, and maintain the Data Platform (pipelines, integrations, data models)

  • Integrate with accounting systems, file systems, and accountant tooling

  • Recruit and build out the Data Platform team

  • Provide technical direction and set the team's roadmap

  • Help shape early engineering culture and scale the engineering team

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Mozn

Cloud Platforms Engineering Manager

Mozn is a pioneering AI company that specializes in developing advanced AI products and solutions, tailored for the MENA market, empowering enterprises with data-driven insights.

engineeringhybridEGfull-time

Benefits:

  • You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.

  • You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.

  • The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best

  • You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.

  • We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.

Education Requirements:

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).

Experience Requirements:

  • 10+ years of experience in Cloud Engineering, Platform Engineering, or Infrastructure roles.

  • 3+ years of leadership experience managing platform or cloud engineering teams.

  • Proven experience running production-grade Kubernetes environments and managing cloud-native applications.

Other Requirements:

  • Deep expertise in cloud platforms (OCI, AWS, Azure, GCP).

  • Strong hands-on experience with Kubernetes and its ecosystem (Helm, Operators, Service Mesh).

  • Proficiency in Infrastructure-as-Code (Terraform, Pulumi, etc.).

  • Experience operating databases and backing services (MySQL, PostgreSQL, Redis, RabbitMQ, etc.).

  • In-depth knowledge of cloud security practices, including IAM, network security, and infrastructure hardening.

  • Familiarity with CI/CD pipelines and developer productivity tooling.

  • Strong leadership, collaboration, and communication skills.

  • Ability to align technical strategy with business objectives and drive cross-functional initiatives.

  • Knowledge of security compliance frameworks (SOC 2, ISO 27001) in cloud environments.

  • Demonstrated success in scaling platform teams and managing high-growth environments.

Responsibilities:

  • Lead the design, implementation, and lifecycle management of scalable, secure, and highly available cloud infrastructure.

  • Embed security best practices across infrastructure, ensuring compliance with internal policies and industry standards.

  • Own the deployment, scaling, and management of Kubernetes clusters across multiple environments.

  • Manage shared backing services such as MySQL, PostgreSQL, Redis, and message brokers.

  • Manage, mentor, and grow a high-performing cloud platforms team.

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Mozn

Principal CPE Engineer (GCP)

Mozn is a pioneering AI company that specializes in developing advanced AI products and solutions, tailored for the MENA market, empowering enterprises with data-driven insights.

engineeringhybridEGfull-time

Benefits:

  • You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.

  • You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.

  • The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best

  • You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.

  • We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.

Education Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

Experience Requirements:

  • 10+ years in cloud engineering, with at least 5+ years of hands-on GCP architecture and implementation.

  • Proven expertise in GCP IAM, including custom roles, service accounts, and policy troubleshooting.

  • Experience implementing JIT access workflows for production and sensitive systems.

  • Experience designing and enforcing separation of authentication and authorization in cloud access control.

  • Demonstrated ability to design and implement advanced networking and network security solutions, including hybrid connectivity to on-premises.

Other Requirements:

  • Hands-on expertise in implementing and managing WAF solutions.

  • Demonstrated ability to manage secure environments for multiple business lines in a single GCP organization.

  • Hands-on experience with secure workload migrations to GCP.

  • Willingness and capability to expand into multi-cloud and Kubernetes environments.

  • Expert-level knowledge of GCP networking (VPC, Shared VPC, Cloud Interconnect, VPN, firewall rules, private service connect, service perimeters).

  • Expertise in WAF policy creation, tuning, and integration with GCP and hybrid application stacks.

  • Proficiency with Terraform and automation scripting (Python, Bash, Go).

  • Familiarity with GCP security tools (Security Command Center, Cloud Armor, IAM Recommender).

  • Understanding of compliance frameworks (PCI-DSS, ISO 27001, SOC 2, NIST) in financial or regulated industries.

  • Knowledge of Kubernetes security concepts and containerized workload protection.

  • Strong communication, stakeholder management, and problem-solving abilities.

  • GCP Professional Cloud Architect or Professional Cloud Security Engineer certification.

  • Experience with BeyondCorp Enterprise or Access Context Manager for Zero Trust architectures.

  • Exposure to MSSP oversight, including detection capability testing and SLA verification.

  • Experience integrating GCP identity with Keycloak, Azure AD, or Okta.

  • Knowledge of hybrid and multi-cloud security architectures.

  • Experience in securing Kubernetes workloads and service meshes.

Responsibilities:

  • Design, implement, and manage secure, scalable GCP environments for multiple business lines with compliance and security boundaries.

  • Architect network segmentation, private connectivity, hybrid connectivity to on-premises (e.g., Cloud Interconnect, VPN), and service perimeters to enforce least privilege and data protection.

  • Implement advanced network security controls, including firewall rules, DDoS protection, intrusion detection/prevention, secure routing, and WAF policy enforcement.

  • Build and maintain robust IAM strategies, including fine-grained roles, service accounts, and workload identities.

  • Implement and manage Just-In-Time (JIT) access models using GCP-native tools (e.g., Access Context Manager, IAM Conditions) or third-party solutions.

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OneTrust Data Subject Request (DSR) Automation favicon
OneTrust Data Subject Request (DSR) Automation

Principal Enterprise Architect

OneTrust Data Subject Request Automation fully automates DSR fulfillment, including intake, identity verification, data discovery, deletion, and secure response.

engineeringhybridNew York, US
$150,675 USD - $226,012.50 USD
full-time

Benefits:

  • comprehensive healthcare coverage

  • flexible PTO

  • equity RSUs

  • annual performance bonus opportunities

  • retirement account support

Education Requirements:

  • Bachelor’s or Master's degree in Information Systems, Computer Science, Business Administration, or a related field.

Experience Requirements:

  • A minimum of 10 years of experience in an enterprise or systems architecture role, with significant experience managing business systems and capability models within a rapidly growing organization.

  • Demonstrated experience managing and integrating multiple Enterprise Business Platforms such as CRM and ERP (Salesforce, Gainsight, Workday, Zuora Revenue, Marketo), with focus on business process re-engineering, and system integration strategies.

  • Proficiency in utilizing cloud-based platforms and services essential for business operations and management.

Other Requirements:

  • strategic thinker with a deep understanding of business processes and technology

  • capable of bridging the gap between the two to drive forward OneTrust’s objectives

  • Demonstrated ability to lead and manage cross-functional projects and drive significant change within complex organizational settings.

  • Strong analytical, strategic thinking, and problem-solving skills, with a proven track record of delivering scalable and efficient system solutions.

  • Excellent communication and stakeholder management skills, capable of engaging with executives, IT teams, and business unit leaders.

Responsibilities:

  • Create secure, scalable and high performance enterprise solutions ensuring alignment with business goals and strategies.

  • Responsible to develop and maintain current state and future state technology roadmaps aligned with approved IT Investments and approved by Leadership.

  • Develop and execute a transformative enterprise-wide business systems architecture strategy that aligns with our strategic goals, particularly enhancing operational scalability and efficiency.

  • Work closely with the master data management team to support initiatives from the data modeling side. Design and promote the enterprise data model.

  • Collaborate with various business units to understand system requirements, identify current bottlenecks, and pinpoint opportunities for process optimization.

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OneTrust Data Subject Request (DSR) Automation

Senior AEM Architect

OneTrust Data Subject Request Automation fully automates DSR fulfillment, including intake, identity verification, data discovery, deletion, and secure response.

engineeringhybridNew York, US
$139,050 USD - $208,575 USD
full-time

Benefits:

  • comprehensive healthcare coverage

  • flexible PTO

  • equity RSUs

  • annual performance bonus opportunities

  • retirement account support

Education Requirements:

  • Bachelor’s Degree in Computer Engineering, Web Development, Computer Science or equivalent experience

Experience Requirements:

  • A strong Java/J2EE background in AEM back-end development (preferably Java 11)

  • 3+ years of development experience with AEM as a Cloud Service, including at least 1-2 full cycle AEMaaCS projects for high-volume, content heavy web sites or applications

  • 5+ years of strong web content management experience with AEM

  • Experience with integrating AEMaaCS/AEM 6.3+ with other products and vendors via APIs and other standard methodologies

  • Experience with Java Content Repository (API) suite, Sling web framework and Apache Felix OSGi framework, and DAM

Other Requirements:

  • An innovator

  • Someone who understands design and systems, but can speak to the business

  • Curious

  • Experience gathering complex requirements from multiple stakeholder groups and translating into architecture and development tasks

  • Experience with configuration planning, testing, and change management

Responsibilities:

  • Act as a liaison between the business and the development teams, collecting requirements and creating solution design that allows the development team to deliver efficiently.

  • Develop modern user experiences for customer-facing web properties that are progressive and responsive

  • Build experiences across a broad range of core technologies, including HTML, CSS, JavaScript, and Java

  • Take initiative to come up with solutions for multiple problems, such as development, risk, scope/budget, security, and other challenges

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OneTrust Data Subject Request (DSR) Automation

Senior AEM Architect

OneTrust Data Subject Request Automation fully automates DSR fulfillment, including intake, identity verification, data discovery, deletion, and secure response.

engineeringhybridAtlanta, US
$139,050 USD - $208,575 USD
full-time

Benefits:

  • comprehensive healthcare coverage

  • flexible PTO

  • equity RSUs

  • annual performance bonus opportunities

  • retirement account support

Education Requirements:

  • Bachelor’s Degree in Computer Engineering, Web Development, Computer Science or equivalent experience

Experience Requirements:

  • A strong Java/J2EE background in AEM back-end development (preferably Java 11)

  • 3+ years of development experience with AEM as a Cloud Service, including at least 1-2 full cycle AEMaaCS projects for high-volume, content heavy web sites or applications

  • 5+ years of strong web content management experience with AEM

  • Experience with integrating AEMaaCS/AEM 6.3+ with other products and vendors via APIs and other standard methodologies

  • Experience with Java Content Repository (API) suite, Sling web framework and Apache Felix OSGi framework, and DAM

Other Requirements:

  • An innovator

  • Someone who understands design and systems, but can speak to the business

  • Curious

  • Experience gathering complex requirements from multiple stakeholder groups and translating into architecture and development tasks

  • Experience with configuration planning, testing, and change management

Responsibilities:

  • Act as a liaison between the business and the development teams, collecting requirements and creating solution design that allows the development team to deliver efficiently.

  • Develop modern user experiences for customer-facing web properties that are progressive and responsive

  • Build experiences across a broad range of core technologies, including HTML, CSS, JavaScript, and Java

  • Take initiative to come up with solutions for multiple problems, such as development, risk, scope/budget, security, and other challenges

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Creatify AI favicon
Creatify AI

Full-Stack Engineer

Creatify is an AI video ad maker that helps brands create, test, and optimize high-performing video ads instantly from any product link or asset.

engineeringonsiteMountain View, USfull-time

Experience Requirements:

  • 3+ years of full-stack development experience.

  • Previous experience in video, ads, AI is a significant plus.

Other Requirements:

  • Proficiency in React, Python, and frameworks like Django or Flask.

  • Familiarity with Docker, SQL, and cloud services like AWS, GCP, or Azure.

  • Fast-paced work style.

  • Excellent communication, teamwork skills, and problem-solving ability.

  • A genuinely nice person.

Responsibilities:

  • Creating responsive web designs

  • Coding frontends and backends

  • Collaborating with PMs and designers to deliver features

  • Work closely with our CTO and other engineers to develop and shape Creatify's industry-leading AI video ad solution.

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Apex.AI

Senior DevOps Engineer

Apex.AI is a software company offering state-of-the-art, safety-certified SDKs and tools to enable AI and autonomy for software-defined mobility systems.

engineeringonsitePalo Alto, US
$135,000 USD - $160,000 USD
full-time

Benefits:

  • stock options

  • health insurance

  • dental insurance

  • vision insurance

  • life insurance

Education Requirements:

  • B.S. or higher degree in a technical field

Experience Requirements:

  • 5+ years of relevant work experience

  • Proven experience maintaining a cross-platform build system

  • Proven experience managing CI/CD pipelines

  • Proven ability to script in Python and Starlark

  • Proven experience developing Bazel infrastructure

Other Requirements:

  • Experience with infrastructure management tools such as Terraform

  • Experience with Bazel internals

  • Familiarity with releasing code and binaries to customers

  • Familiarity with cross-compilation

  • Experience with the usage of CMake

Responsibilities:

  • Extend and optimize our build, release and packaging system

  • Improve our Continuous Integration, Continuous Deployment (CI/CD) pipelines and build system

  • Build and maintain our Bazel build infrastructure

  • Work closely with C++ product developers to understand their workflows and how to improve them

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Apex.AI

Senior DevOps Engineer

Apex.AI is a software company offering state-of-the-art, safety-certified SDKs and tools to enable AI and autonomy for software-defined mobility systems.

engineeringonsiteMunich, DEfull-time

Education Requirements:

  • B.S. or higher degree in a technical field

Experience Requirements:

  • 5+ years of relevant work experience

  • Proven experience maintaining a cross-platform build system

  • Proven experience managing CI/CD pipelines

  • Proven ability to script in Python and Starlark

  • Proven experience developing Bazel infrastructure

Other Requirements:

  • Experience with infrastructure management tools such as Terraform

  • Experience with Bazel internals

  • Familiarity with releasing code and binaries to customers

  • Familiarity with cross-compilation

  • Experience with the usage of CMake

Responsibilities:

  • Extend and optimize our build, release and packaging system

  • Help improve our Continuous Integration, Continuous Deployment (CI/CD) pipelines and build system

  • Build and maintain our Bazel build infrastructure

  • Work closely with C++ product developers to understand their workflows and how to improve them

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Looq AI

Assembly Technician

Looq AI is a spatial intelligence platform for the built world, providing accurate, actionable data, precision modeling, and AI-enabled insights for infrastructure.

engineeringonsiteSan Diego, US
$20 per hour - $25 per hour
other

Experience Requirements:

  • 3+ years assembly or equivalent experience in electro-mechanical projects

  • Excellent written and oral communication skills

  • Competency in Word, Excel, and PowerPoint

  • Excellent organizational skills and detail-oriented

Responsibilities:

  • Assemble products, electromechanical and optical sub-assemblies

  • Performing go/no-go diagnostic tests on sub-assemblies and completed product

  • Maintain a component inventory

  • Manage and maintain 3d printers for in-house prototyping and small production runs

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Looq AI

Computer Vision Engineer

Looq AI is a spatial intelligence platform for the built world, providing accurate, actionable data, precision modeling, and AI-enabled insights for infrastructure.

engineeringhybridSan Diego, US
180,000 (USD) - 275,000 (USD)
full-time

Benefits:

  • Health coverage

  • Vision coverage

  • Dental coverage

  • 401K plan

  • Unlimited vacation time

Education Requirements:

  • Master’s degree or Ph.D. in Computer Science, Electrical Engineering, or a related field

Experience Requirements:

  • Strong research experience in computer vision, robotics, or related areas (e.g., academic research, publications, or thesis work)

  • The ability to ship production code from the get-go, specifically in Python and C++

  • Experience with one or more of: SfM, SLAM, or depth estimation/multi-view stereo

  • Familiarity with tools like PyTorch, OpenCV, and similar libraries

  • Comfortable working in a fast-paced environment with minimal structure

Responsibilities:

  • Develop and implement algorithms in 3D computer vision (SfM, SLAM, depth estimation, multi-view stereo, robotics & navigation, etc.)

  • Write clean, maintainable code that bridges research and real-world performance

  • Work closely with our hardware team to co-design our overall product

  • Design and optimize vision pipelines for large-scale processing and efficient runtime

  • Prototype quickly, iterate on ideas, and own projects from concept to deployment

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Searchium.ai

Senior Embedded SW Engineer

Searchium.ai is a SaaS platform designed to accelerate AI search applications, maximizing performance and minimizing infrastructure costs for fast, accurate results.

engineeringonsiteTel Aviv, ILfull-time

Other Requirements:

  • Development of Embedded SW

  • Development of Bare Metal Core (ARM, ARC)

  • Development of Bare Metal Drivers

  • Embedded Linux

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Searchium.ai

Software Engineer for Embedded AI

Searchium.ai is a SaaS platform designed to accelerate AI search applications, maximizing performance and minimizing infrastructure costs for fast, accurate results.

engineeringonsiteTel Aviv, ILfull-time

Other Requirements:

  • Development of Embedded SW

  • Development of Bare Metal Core (ARM, ARC)

  • Development of Bare Metal Drivers

  • Embedded Linux

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CARPL.ai

Implementation Engineer

CARPL is an FDA 510(k) cleared enterprise imaging AI platform that simplifies radiology automation by enabling access, assessment, and integration of AI solutions.

engineeringonsiteNew Delhi, INfull-time

Experience Requirements:

  • 3+ years of IT infrastructure experience working closely with cloud technologies.

  • Have a working knowledge of Docker, Kubernetes, Terraform, or similar technologies.

  • Have experience with monitoring, alerting, and logging frameworks such as Prometheus, Elastic Stack, Grafana

  • Continuous integration and deployment (CICD) with tools such as Jenkins. Should be aware of managing pipeline has to code.

  • Good to know one of these languages: - Go, Python, and/or Java

Other Requirements:

  • Excellent teamwork and communication skills

  • Strong sense of ownership and showing initiative.

Responsibilities:

  • Infrastructure Design: Collaborate with cross-functional teams to implement scalable, secure, and high-availability infrastructure solutions on a cloud platform (AWS).

  • Release Automation: Develop and maintain CI/CD pipelines, automating deployment processes to accelerate application deployment.

  • Containerization and Orchestration: Utilize container technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to streamline application deployment and management.

  • Monitoring and Performance Optimization: Implement monitoring tools and strategies to proactively identify and resolve performance bottlenecks, ensuring optimal system performance.

  • Security Implementation: Integrate security best practices into the DevOps processes, ensuring the confidentiality and integrity of sensitive data.

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CARPL.ai

Full Stack Engineer

CARPL is an FDA 510(k) cleared enterprise imaging AI platform that simplifies radiology automation by enabling access, assessment, and integration of AI solutions.

engineeringonsiteNew Delhi, INfull-time

Experience Requirements:

  • 3+ years of experience in backend development with Python and Django.

  • Experience working with RESTful APIs and GraphQL.

  • Proficiency in ReactJS, Python, Golang, Relational Databases, and basic knowledge of Docker, Kubernetes, and DevOps practices.

  • Strong understanding of version control systems (Git, GitHub, or GitLab).

Other Requirements:

  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud is a plus.

  • Strong problem-solving skills, analytical mindset, and ability to work independently and as part of a team.

Responsibilities:

  • Take ownership of building and maintaining specific components of the CARPL platform using our tech stack, including ReactJS, Python, Golang, MySQL, Elastic Search, Docker, and Kubernetes.

  • Engage in both font end and back end development, contributing to overall architecture and ensuring seamless integration of different platform components.

  • Participate in DevOps practices, including containerization with Docker and deployment using Kubernetes to ensure smooth deployment and scaling of the platform.

  • Design, implement, and manage APIs and database models.

  • Write clean, scalable, and well-documented code.

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CARPL.ai

Backend Engineer

CARPL is an FDA 510(k) cleared enterprise imaging AI platform that simplifies radiology automation by enabling access, assessment, and integration of AI solutions.

engineeringonsiteNew Delhi, INfull-time

Experience Requirements:

  • 2+ years of experience in backend development with Python and Django.

  • Experience working with RESTful APIs and GraphQL.

  • Proficiency in database design and experience with PostgreSQL, MySQL, or MongoDB.

  • Strong understanding of version control systems (Git, GitHub, or GitLab).

  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud is a plus.

Other Requirements:

  • Experience in containerization and deployment tools like Docker, Kubernetes, or CI/CD pipelines is an advantage.

  • Strong problem-solving skills, analytical mindset, and ability to work independently and as part of a team.

Responsibilities:

  • Develop, maintain, and optimize backend services using Python, FastAPI, Golang and Django.

  • Design, implement, and manage APIs and database models.

  • Collaborate with front-end developers using React.js to ensure seamless integration.

  • Write clean, scalable, and well-documented code.

  • Troubleshoot, debug, and enhance existing applications.

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Cedar

Data Engineer

Cedar is an AI-powered transportation management system for logistics companies, specializing in rail operations, intermodal, transloading, and warehousing.

engineeringhybridUSfull-time

Benefits:

  • Competitive compensation

  • comprehensive benefits

  • Opportunities for professional growth, continuous learning, and career advancement

Education Requirements:

  • Bachelor’s degree in a technical field such as Information Systems, Industrial Engineering, or equivalent practical experience (a Computer Science degree is not required).

Experience Requirements:

  • 3+ years of experience in data engineering, ETL development, and data warehousing.

  • Proven experience with ETL frameworks and tools (e.g., Apache Airflow, Talend, or similar).

  • Strong expertise in SQL and hands-on experience with relational databases; familiarity with NoSQL is a plus.

  • Experience integrating and supporting customer reporting BI tools (e.g., Tableau, Power BI, Looker).

  • Solid understanding of data warehousing concepts, data modeling, and best practices for data security.

Other Requirements:

  • Excellent problem-solving skills and the ability to optimize and troubleshoot data pipelines.

  • Strong communication and collaboration skills with the ability to effectively bridge technical and non-technical teams.

  • Familiarity with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure SQL) is an advantage.

Responsibilities:

  • Design, develop, and maintain end-to-end ETL pipelines for reliable data ingestion, transformation, and loading.

  • Monitor and optimize ETL processes to ensure seamless and efficient data flow.

  • Oversee and manage our data warehouse environment to ensure high performance, scalability, and data integrity.

  • Integrate and manage customer reporting BI tools, ensuring smooth data access and accurate data visualization.

  • Collaborate with business and analytics teams to understand reporting requirements and deliver custom dashboards and insights.

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Cedar

Solution Architect

Cedar is an AI-powered transportation management system for logistics companies, specializing in rail operations, intermodal, transloading, and warehousing.

engineeringhybridUSfull-time

Benefits:

  • Opportunities for continuous professional development and career advancement

  • A competitive compensation and benefits package

Education Requirements:

  • Bachelor’s degree or equivalent practical experience in a technical field such as Industrial Engineering, Mechanical Engineering, or a related discipline (a computer science degree is not mandatory).

Experience Requirements:

  • Proven experience in a technical or advisory role, particularly within industrial or operational environments.

  • Demonstrated expertise in enterprise-level software systems and integration strategies relevant to industrial applications.

  • Strong ability to develop and deliver technical training and educational content for non-technical users.

Other Requirements:

  • Excellent communication, presentation, and problem-solving skills, with an emphasis on practical, customer-focused solutions.

  • Ability to manage multiple projects in a fast-paced, dynamic environment.

  • Familiarity with cloud platforms or data management solutions is a plus but not required.

Responsibilities:

  • Become the primary expert on Cedar AI’s systems, specifically tailored to meet the needs of industrial users.

  • Provide technical guidance on system configuration, integration, and optimization to maximize customer value.

  • Collaborate directly with industrial clients to understand their operational challenges and technical requirements.

  • Design and recommend customized solutions that seamlessly integrate with existing industrial processes and infrastructures.

  • Lead technical workshops, training sessions, and one-on-one consultations to empower customers with the knowledge to effectively use our systems.

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