Experience Requirements:

• 5+ years of experience in software development

• Deep experience with Vue 3 + Composition API and ideally Nuxt.js

• Proficient in CSS with familiarity in Tailwind, SCSS, BEM, and preprocessors like Autoprefixer

• Knowledge of project root folder tools such as ESLint, Stylelint, and Prettier

• Experience with bundlers like Vite

Other Requirements:

• Strong passion for language learning

• "Ship-first" mindset who takes initiative and is willing to embrace technical debt

Responsibilities:

• Maintain and develop new features for all our web-based assets: Website, iOS & Android Apps, Browser Extension, and Web App

• Collaborate with team members on integration work across different platforms

• Implement pixel-perfect versions of UI designs and ensure fluid animations

• Interact with users to triage and fix issues

• Write and maintain unit and end-to-end tests to ensure high-quality code

Benefits:

• Flexible remote work options

• Latest, finest Mac-based work equipment

• Support for fitness expenses

• Provides Lunch allowance

• Welfare points program

Experience Requirements:

• 3–5 years of experience in the IT field

• Deep understanding of Linux-based networking, virtualization, and container technologies

• Proven experience in utilizing and operating cloud environments such as AWS, Azure, or GCP

• Experience in building or managing CI/CD pipelines using DevOps tools (e.g., Jenkins, Ansible, Terraform)

• Strong problem-solving skills and excellent communication abilities

Responsibilities:

• Client Relationship Management

• Requirements Analysis & Solution Design

• Technical Consulting

• Monitoring & Optimization

• Contribution to Product Improvement

Experience Requirements:

• At least 5 years of experience

• Knowledge and autonomy in the use, design, and configuration of virtualization solutions with VMware VSphere, KVM, Nutanix technologies

• Knowledge and autonomy in the use, design, and configuration of Software Defined Storage solutions (Vsan, Dell Powerflex, etc)

• Knowledge and experience in the design and configuration of PDU virtualization solutions with VMware Horizon and/or DaaS technologies

• Knowledge and experience in the configuration and design of network infrastructures

Other Requirements:

• Knowledge of the English language (written and spoken)

Responsibilities:

• Translate technical requirements into detailed conceptual specifications and produce specific documentation

• Define the solution that best fits the company's economic and procedural requirements in centralized and distributed environments

• Follow platform requirements and interact with system management personnel for resource management

• Actively collaborate with Project Managers and colleagues from the Engineering area to support project implementation

• Training and support for other team members to improve their technical skills

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Experience Requirements:

• 4+ years of experience in Software Engineering

• Proven experience developing software using Python (or similar programming languages)

• Strong experience designing and building test automation frameworks from scratch

• Hands-on experience working with CI/CD pipeline tools (GitHub Actions, GitLab, CircleCI, etc.) and test automation tools

• Experience working with large-scale test automation, including distributed systems like Kubernetes, and multiple cloud environments

Other Requirements:

• Passionate about testing, with a strong focus on quality and continuous improvement

• Ability to break down complex software and identify edge cases and potential issues early

• Familiarity with FastAPI/Aiohttp for building asynchronous web servers or clients (Nice to have)

• Experience with React development for front-end testing (preferred, but not required)

• Proficiency in Bash scripting for automating tasks and workflows

Responsibilities:

• Develop and maintain automated test scripts using Python, Go, and Javascript/Typescript to ensure high-quality software and applications

• Design, implement, and maintain CI/CD pipelines, ensuring smooth integration and continuous deployment of code (experience with GitLab CI, Github Actions, Harness.io, or similar is a plus)

• Work with product and development teams to define testing strategies, scope, and priorities for features, ensuring thorough test coverage across all stages of development

• Develop large-scale, maintainable test automation systems and frameworks, ensuring they can scale with growing applications and infrastructure needs. Experience with Locust.io, k6, or similar is a plus

• Identify edge cases, potential risks, and weaknesses in both applications and infrastructure, advocating for the necessary changes to prevent issues

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Experience Requirements:

• 4+ years of experience with python for backend services and/or data science workflows

• Proficiency in writing efficient, maintainable, and well-structured code

• Experience with API development, preferably using FastAPI, Flask, or similar frameworks

• Experience with containerization technologies (Docker) and orchestration (Kubernetes)

• Familiarity with Infrastructure as Code tools (Terraform, CloudFormation, Pulumi)

Other Requirements:

• Highly coachable and eager to learn

• Strong problem-solving skills and the ability to adapt to shifting priorities

• Ability to work in an environment with varying workloads

• Familiarity with SAP environments or enterprise system integrations is a plus

• Exposure to generative AI solutions like RAG, finetuning, etc. (Nice to have)

Responsibilities:

• Develop and maintain scalable, production-ready backend systems that support our data scientists' AI/ML workflows

• Build reusable infrastructure components that accelerate the integration of AI solutions into SAP environments

• Design and implement data pipelines that connect various data sources to our ML models

• Ensure AI solutions are resilient, maintainable, and easy to deploy, minimizing operational friction

• Collaborate with data scientists to understand their infrastructure needs and translate them into technical solutions

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• BA/BS preferred in a technical or engineering field

Experience Requirements:

• 5-7 years of experience in a data engineering or data analyst role

• Strong understanding of data warehousing concepts, working experience with relational databases (Snowflake, Redshift, Postgres, etc.), and SQL

• Experience working with cloud providers like AWS, Azure, GCP, etc.

• Solid programming foundations and proficiency in data-related languages like Python, Scala, and R

• Experience with DevOps workflows and tools like DBT, GitHub, Airflow, etc.

Other Requirements:

• Excellent communication skills. Ability to effectively communicate with both technical and non-technical audiences

• Knowledge of real-time stream technologies like AWS Firehose, Spark, etc.

• Highly collaborative in working with teammates and stakeholders

• AWS cloud certification is a plus

Responsibilities:

• Partner with internal customers and business analysts to understand business needs and build strong relationships with key stakeholders

• Develop, deploy, and support analytic data products, such as data marts, ETL jobs (extract/transform/load), functions (in Python/SQL/DBT) in a cloud data warehouse environment using Snowflake, Stitch/Fivetran/Airflow, AWS services (e.g., EC2, lambda, kinesis)

• Navigate various data sources and efficiently locate data in a complex data ecosystem

• Work closely with our data analysts and data scientists to build data models and metrics to support their analytics needs

• Maintain and support deployed ETL pipelines and ensure data quality

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Experience Requirements:

• 7+ years of proven experience with high-quality infrastructure solutions

• 3+ years of experience building infrastructure solutions in at least one major cloud provider (AWS, Azure, or GCP)

• Expert proficiency in Kubernetes. Experience in building and running software systems on Kubernetes clusters in production

• Hands-on experience with infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles

• Hands-on experience in developing wide variety of software and automation scripts with Python/Golang

Other Requirements:

• Aptitude to deal with ambiguity, and enthusiasm to help tackle difficult issues

• Ability to work effectively asynchronously and face-to-face in a multicultural team in multiple timezones around the world

• Excellent critical thinking skills and can objectively evaluate multiple solutions with different tradeoffs

• Open-source contributions (Nice to have)

• Experience building Kubernetes operators (Nice to have)

Responsibilities:

• Develop a fully-featured Kubernetes platform built around industry standards to improve developer experiences and enable self-service capabilities

• Work closely with internal application teams to improve their Kubernetes onboarding experience

• Work with app teams to understand their potential challenges and help them choose the best way to architect their systems on Kubernetes

• Design and implement new platform features to meet business and internal team goals

• Monitor and maintain the performance and reliability of the existing Kubernetes platform clusters, and identify and troubleshoot any issues that may arise

Education Requirements:

• Bachelor ’s degree in Computer Science, Engineering, or a related field.

Experience Requirements:

• At least 3 years of direct experience with test automation.

• Previous experience as a senior or lead QA is a plus.

Other Requirements:

• Strong knowledge of programming languages (Python, Java, JavaScript).

• Hands-on experience with automation tools like Selenium.

• Familiarity with SQL for data-driven tests.

• Experience setting up automated testing in CI/CD pipelines and using version control systems (e.g., GitLab).

• Experience with API testing tools (Postman, Swagger).

• Understanding of Agile methods (Scrum, Kanban).

• Good knowledge of the software development and testing lifecycles.

• Proven ability to create, maintain, and run automated test cases carefully.

• Strong skills in debugging and problem-solving.

• Excellent written and spoken English.

• Ability to work well with different teams: product managers, engineers, designers, and others.

• Understanding of WordPress and its ecosystem.

Responsibilities:

• Create, improve, and maintain reliable test automation frameworks.

• Add automated tests to our CI/CD pipelines to get fast and clear feedback on product quality.

• Work with product managers, designers, and developers to set goals and define requirements.

• Lead test processes for big, complex projects, making sure the whole team shares knowledge and best practices.

• Plan and run detailed test strategies, including automated regression testing, based on project needs.

Education Requirements:

• Bachelor ’s degree in Computer Science, Engineering, or a related field.

Experience Requirements:

• 2+ years of experience as a Software QA Engineer.

Other Requirements:

• Excellent written and verbal English language communication skills.

• In-depth knowledge of software development life cycle and software testing life cycle.

• Strong analytical skills to identify and address complex issues.

• Proven ability to troubleshoot, debug, and document software defects.

• Familiarity with web programming and scripting languages (Python, PHP, JavaScript).

• Broad knowledge of Python will be considered as a plus.

• Hands-on experience with test automation tools and frameworks will be considered as a plus (e.g., Selenium, Cypress).

• Familiarity with SQL, databases, and data-driven automated testing will be considered as a plus.

• Familiarity with integrating testing into CI/CD pipelines, experience with version control systems, such as Gitlab.

• Familiarity with Agile frameworks (Scrum, Kanban).

• Familiarity with WordPress.

• Experience with API testing with Postman, Swagger, or a relevant software.

• A meticulous approach to testing with a keen attention to detail.

• Ability to catch subtle issues that may impact product quality.

Responsibilities:

• Collaborate with cross-functional teams to understand project goals and requirements.

• Develop and implement comprehensive test plans and regression test suites based on project specifications and requirements.

• Create detailed, well-structured test cases that cover all aspects of the software under test.

• Identify, document, and track product defects through their lifecycle, implement regression testing where necessary.

• Identify and assess risks related to software quality and work to mitigate those risks.

Benefits:

• A competitive salary and ESOP package.

• A flexible and hybrid work environment.

• A chance to work on a groundbreaking project with a talented and passionate team.

• An opportunity to shape the future of vector compute and AI infrastructure.

Experience Requirements:

• 5+ years of hands-on experience in software engineering and AI/ML research/development.

• Proficient in Python, FastAPI, mainstream relational databases

• Exposure to LLMs (OSS model fine-tuning, prompt engineering frameworks like DSPy, structured output frameworks like instructor, serving frameworks like vllm, building Retrieval Augmented Generation with a vector database, cross encoder / ColBERT re-ranking).

• Experience working on information retrieval systems (Search, RecSys, RAG) and the evaluation and tuning of their quality and performance is a huge advantage.

• Built web-scale production data and/or ML systems, you have seen things fall apart and you brought them back together - from model drift to technical debt to organizational dysfunction.

Other Requirements:

• Versatile software engineer

• Strong communication skills

• Reasonably comfortable with any of the role responsibilities

• Collaborative by nature.

• Growth mindset and a passion for dissecting and solving complex problems.

Responsibilities:

• Owning an end-to-end R&D lifecycle: Ideation, research, evaluation of competing approaches, analysis, optimization, and productization, ensuring scalability and efficiency.

• Solution engineering: Talk to product / engineering people at a potential partner / customer, understand their needs and design a solution, using our and our partners products.

• Model building: Cover the full model lifecycle from exploratory data analysis, modeling and evaluation, to packaging and serving the model(s) through common frameworks & cloud platforms.

• Product: Collect market feedback and collaborate with the Framework and Infrastructure team to make sure our roadmap is focused on most valuable features.

• DevRel: Prepare materials and deliver talks at developer events, join panel conversations and podcasts, engage with our VectorHub Community.

Other Requirements:

• Share an example of exceptional performance or something you've built that you're most proud of.

Benefits:

• Competitive base salary plus performance-based commission structure.

• Comprehensive health insurance coverage.

• Professional development and certification opportunities.

• Work with cutting-edge cloud technologies.

• Career growth opportunities in a rapidly expanding market.

Education Requirements:

• Bachelor’s Degree in Computer Science or related field (B.E. Computer preferred)

• BE/BTECH in computer Science or Master’s in Computer Science, or related field

Experience Requirements:

• 3+ years of hands-on experience in database development and management

Other Requirements:

• Strong experience with at least one major database engine (MySQL, PostgreSQL, SQL Server, etc.)

• Proficiency in T-SQL/PL-SQL with the ability to write complex queries, stored procedures, functions, triggers, and views.

• Knowledge of database design principles, including normalization, constraints, and indexing strategies.

• Experience in database performance tuning and query optimization.

• Experience with scripting languages such as Python or Bash for automation.

Responsibilities:

• Manage and optimize databases using AWS services such as RDS, EC2, S3, Data Pipeline, DynamoDB, Redshift, Glue, Quick sight, Document DB.

• Design, develop, and maintain reports and dashboards to support business intelligence needs.

• Visualize and analyze data for actionable insights.

• Work with ETL tools to design and execute data pipelines for integration and processing.

• Implement and maintain data warehousing concepts and solutions.

Other Requirements:

• Passion for Troubleshooting and Solving Technical LAN and Software related issues

• Well-versed in the concepts surrounding Technical support

• Tech-savvy and have strong troubleshooting, Problem-solving skills

• Self-starter with the ability to work independently

• Cisco Certified Network Associate (CCNA) certification

• Cisco Certified Network Professional (CCNP)

• AWS or Azure CLOUD Certifications will be a plus

• Excellent knowledge on Hardware & networking

• Knowledge of Data security & Firewalls Rules

• Proficiency with coding languages including Python

• Excellent communication skills

• Attention to detail

• Analytical mind and Problem Solving Aptitude

• Strong Organizational skills

• Ready to work in Shifts

• Visual Thinking

Responsibilities:

• Designing and implementing new network solutions and/or improving the efficiency of current networks

• Installing, configuring and supporting network equipment

• Configuring firewalls, routing and switching

• Creating and implementing network security measures

• Maximising network performance through ongoing monitoring and troubleshooting

Benefits:

• Lively/purposeful work culture and people oriented organization

• Exposure to working on enterprise national and international $million projects

• Complete job and employee security

• Warm, authentic and transparent communication

• Time to time feedback and exposure to different technologies

Education Requirements:

• Degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field

Experience Requirements:

• 1-2 years

Other Requirements:

• Experience of Python, Java/Scala

• Great Statistical / SQL based Analytical Skills

• Experience of Data Analytics Architectural Design Patterns for Batch, Event Driven and Real-Time Analytics Use Cases

• Understanding of Data warehousing, ETL tools, machine learning, Data EPIs

• Excellent in Algorithms and Data Systems

• Understanding of Distributed System for Data Processing and Analytics

• Familiarity with Popular Data Analytics Framework like Hadoop, Spark, Delta Lake, Time Series / Analytical Stores Stores

• Excellent communication skills

• Attention to detail

• Analytical mind and Problem Solving Aptitude

• Strong Organizational skills

• Visual Thinking

Responsibilities:

• Develop, construct, test and maintain Data Platform Architectures

• Align Data Architecture with business requirements

• Liaising with coworkers and clients to elucidate the requirements for each task

• Scalable and High Performant Data Platform Infrastructure that allows big data to be accessed and analyzed quickly by BI & AI Teams

• Reformulating existing frameworks to optimize their functioning

Benefits:

• Lively/purposeful work culture and people oriented organization

• Exposure to working on enterprise national and international $million projects

• Complete job and employee security

• Warm, authentic and transparent communication

• Time to time feedback and exposure to different technologies

Education Requirements:

• Degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field

Experience Requirements:

• 2 - 4 years

Other Requirements:

• Pipeline centric, make use of the data they collect and have in-depth knowledge of distributed systems and computer science

• Database centric, design and management of data lakes / data warehouses / data lake houses / analytical & time series stores

• Flexibility, creativity, and the capacity to receive and utilize constructive criticism

• Highly skilled in all aspects of Python, Java/Scala, SQL, AWS and analytical skills

• Experience of Python, Java/Scala

• Great Statistical / SQL based Analytical Skills

• Experience of Data Analytics Architectural Design Patterns for Batch, Event Driven and Real-Time Analytics Use Cases

• Understanding of Data warehousing, ETL tools, machine learning, Data EPIs

• Excellent in Algorithms and Data Systems

• Understanding of Distributed System for Data Processing and Analytics

• Familiarity with Popular Data Analytics Framework like Hadoop, Spark, Delta Lake, Time Series / Analytical Stores Stores

• Excellent communication skills

• Attention to detail

• Analytical mind and Problem Solving Aptitude

• Strong Organisational skills

• Visual Thinking

Responsibilities:

• Develop, construct, test and maintain Data Platform Architectures

• Align Data Architecture with business requirements

• Liaising with coworkers and clients to elucidate the requirements for each task

• Scalable and High Performant Data Platform Infrastructure that allows big data to be accessed and analyzed quickly by BI & AI Teams

• Reformulating existing frameworks to optimize their functioning

Education Requirements:

• Bachelor's degree in Information Technology and/or Computer Science; or an equivalent combination of education and experience

Experience Requirements:

• 1-2 years

Other Requirements:

• Azure CLI Powershell and ARM Templates Terraform

• Container platforms and tools Kubernetes ,Docker ,Azure Kubernetes Service, Azure Container Service

• Azure Networking Azure Virtual Networks ExpressRoute Site to Site VPN NSG App Service Environment

• Azure DevOps configuration and management

• Azure PAAS Services Security and Provisioning Azure API Management Policies Azure App Service Event Hubs Service Bus Cosmos DB Azure SQL

• Identity Management Azure AD Azure AD B2C Open ID Connect 7 Cloud Security Azure Key Vault HSTS SSL TLS Ingress Control Certificate management Azure Security Center Threat Detection

• Cloud monitoring Experience with Azure Log Analytics Azure Monitor SysDig Application Insights

• Excellent communication skills

• Attention to detail

• Analytical mind and Problem Solving Aptitude

• Strong Organisational skills

• Visual Thinking

Responsibilities:

• Design/planning, management, support, and oversight of the environment

• Assist with the management, support, and oversight of the virtual server environments and business continuity processes during the lifespan of the project

• Assist with managing, maintaining, monitoring and securing (including data security) of all servers including installations, upgrades, patches and documentation

• Work across the enterprise to coordinate with the various stakeholders

• Accountable for meeting deliverable commitments including schedule and quality compliance

Education Requirements:

• Degree in Computer Science, IT, or similar field; a Master’s is a plus

Experience Requirements:

• 1-2 years

Other Requirements:

• Experienced in cloud-based tech, with a firm grasp of emerging technologies, platforms, and applications, and ability to customize them to help our business become more secure and efficient

• Extensive knowledge of cloud maintenance, experience managing staff, and advanced industry knowledge

• Architecture and Design for large scale AWS hybrid cloud deployments

• Strong foundation with incident, problem and change management. ITIL knowledge and experience is required

• Experience with AWS Services (EC2, S3, RDS, VPC, Route 53, IAM, etc.)

• Experience using CI/CD tools (git, Jenkins, Bitbucket, AWS CodePipeline, Nexus, Artifactory, Terraform, CloudFormation)

• Experience with modern automation, DevOps, and Agile development

• Networking fundamentals including VPNs, DNS, subnetting, route tables, firewalls, etc

• Understanding of AWS security and monitoring and experience implementing best practices

• Experience with Monitoring and Alerting Tools such as CloudWatch, Grafana, Zabbix, PagerDuty, Site24x7, Sumologic, Nagios

• Experience with configuration management (Chef/Ansible/Terraform/CloudFormation)

• Experience administering infrastructure for traditional monolithic web-based business applications

• Highly proficient in Linux administration

• Experience with coding / scripting languages (Bash, Python, Ruby)

• Excellent communication, troubleshooting, and analytical skills

• Provision Dev Test Prod Infrastructure as code using Cloud Formation Template

• Template Container platforms and tools Kubernetes, Docker, EKS, AKS or Fargate

• AWS Networking Virtual Private Network GSLB ALB Route 53 etc

• Experience with AWS Cloud Watch Deep experience with K8S Namespaces DNS experience

• Excellent communication skills

• Attention to detail

• Analytical mind and Problem Solving Aptitude

• Strong Organizational skills

• Visual Thinking

• Rotational Shift Timings

Responsibilities:

• Design and implementation of AWS cloud deployment tools and solutions

• Perform AWS cloud development and design work that may include logical system design, cloud architecture analysis and design, and systems engineering

• Implement and automate the deployment of IaaS and PaaS services in AWS

• Develop and implement cloud strategy and vision, enterprise cloud security, cloud solutions design and delivery, cloud migrations, infrastructure automation across a wide range of platforms

• Develop blueprints for a secure and adaptable multi-tenant cloud framework including custom governance, security, identity management and operational controls

Education Requirements:

• Degree(s) in Computer Science

• Degree(s) in Robotics

• Degree(s) in Engineering

• Degree(s) in a related field

• Equivalent industry experience

Experience Requirements:

• Minimum 6 years of professional work experience

• Knowledge of C++17 or newer

• Skilled with at least one scripting language such as Python

• Extensive knowledge of software development, including full life-cycle library and application development, Git version control, software testing, and continuous integration

• Experience with communication middleware

Other Requirements:

• Driven to solve customer problems and see your work make an impact

• Excited to work with new customers and multi-task delivery of cool robot software

• Multi-disciplinary approach to technical problem solving and willingness to do what needs to be done

• Ability to travel approximately every other month to customer sites & conferences (Less than 20% of the time)

• Live in the Boulder/Denver area and have the ability to be in-office at least 3 days per week

• ROS, MoveIt, Nav2, Mujoco, or other robotic libraries are advantageous

• Demonstrated industry ability to deliver complex projects

• Familiarity with scalable deployment processes like Docker, Kubernetes, and Ansible

Responsibilities:

• Help lead development of customer implementations of MoveIt Pro

• Develop MoveIt Pro-based software applications

• Create integration solutions for our customers

Experience Requirements:

• 2+ years of commercial (or equivalent large open source project) experience in a modern programming language

• Experience programming in Go

• Working knowledge of Git and VCS

• Experience working with and designing RESTful APIs

• Experience using at least one cloud service provider (AWS/GCP/Azure)

Other Requirements:

• Strive to continually improve and learn new technologies

Responsibilities:

• To build new features in our core language Go (Golang)

• To work with our serverless architecture and deliver clean and maintainable code

• Share responsibility for domain-specific services - investigating alerts and fixing root causes

• Collaborate with the rest of the team to help define the wider technical roadmap

• Strive to continually improve and learn new technologies

Experience Requirements:

• 10+ years of software development experience, ideally 2+ years in a startup environment.

• Strong backend fundamentals and experience with Go, AWS, PostgreSQL, microservices, and serverless infrastructure.

• Previous experience in e-commerce, logistics, or related platform/product development is a big plus.

• Experience growing or managing teams: mentorship, hiring, team culture.

• Product-oriented mindset: you care about solving real user problems, not just writing code.

Other Requirements:

• A pragmatic builder who can turn complex systems into simple, scalable architecture.

• Good vibes, collaborative, and great to work with good vibes matter to us.

Responsibilities:

• Own the technical roadmap: Define and deliver on engineering priorities that support product and business goals.

• Lead and scale the engineering team: Mentor our existing engineers and help hire and onboard new team members.

• Design scalable systems: Architect secure, modular microservices and APIs in a serverless cloud environment.

• Enable team performance: Improve dev workflows, testing, deployment, observability, and incident response.

• Build with AI: Explore and deploy AI-powered tools to enhance team efficiency and product capabilities.