Vibe Engineering Jobs with Equity ≥ 4%

Summary: Candidates should have experience in software engineering and team leadership. A strong focus on customer experience and data-driven approaches is essential.

Skills: software engineering, mobile development, leadership, agile methodologies, collaboration, customer experience, data-driven decision making, digital environment, electric vehicles, team management

Summary: Candidates should have a strong engineering background and experience in mobile development. Leadership skills and the ability to work collaboratively in an agile environment are essential.

Skills: software engineering, mobile development, agile methodologies, team leadership, digital environment, customer experience, data-driven, collaboration

Summary: Remote part-time Front End/UI Engineer internship to build mission-critical dashboards; requires React, Next.js, and Tailwind; collaborate with backend, RF, and product teams; focus on visualization and responsive interfaces.

Skills: react, next.js, tailwind

Summary: Candidates should have extensive experience with web APIs, relational databases, and analytics tools. Experience with LLMs and data processing pipelines is also important.

Skills: web apis, postgresql, analytical sql, snowflake, google bigquery, pandas, streaming analytics, data processing pipelines, flink, spark, machine learning, data quality, llms, data extractors, summarizers, task processing

Summary: Candidates should have 7+ years of software engineering experience, including 2+ years in a leadership role. Strong backend development skills, particularly in Java and microservices architecture, are essential.

Skills: software engineering, backend development, java, spring framework, microservices architecture, restful api design, relational databases, nosql databases, agile, scrum, problem-solving, communication, team leadership, mentoring, ci/cd, cloud platforms

Summary: Candidates should have over 6 years of experience in data engineering or applied AI roles, with proven experience in building production ML systems. A strong programming background in Python and knowledge of ML frameworks is essential.

Skills: ai engineering, machine learning, data engineering, python, ml pipelines, data processing, cloud infrastructure, mlops, compliance, data governance, team leadership, technical strategy, architecture design, collaboration, documentation, monitoring

Summary: Candidates should have a solid engineering background with experience in scalable systems and strong programming skills in Java, C#, or Go. A passion for transformational leadership and effective communication with both technical and non-technical stakeholders is essential.

Skills: software engineering, leadership, coaching, mentoring, java, c#, go, agile, lean principles, communication, problem solving, team culture, technical expertise, performance improvement, scalability, collaboration

Summary: Candidates should have a Bachelor's degree in Computer Science or a related field, with 8+ years of software development experience and 3+ years in a leadership role. Proficiency in multiple programming languages and experience with third-party application integration are essential.

Skills: software development, team leadership, c++, node.js, .net, python, relational databases, oracle fusion, microsoft dynamics navision, agile methodologies, vendor management, cloud platforms, devops practices, performance management, collaboration, problem-solving, communication

Summary: Candidates must have a bachelor's degree in a related field and at least 8 years of professional software development experience, including 2 years in a leadership role. Proven experience with cloud-hosted applications and strong communication skills are essential.

Skills: software development, team leadership, architecture, node.js, react, rest apis, microsoft sql server, azure, ci/cd, microservices, domain-driven design, event-driven systems, mentoring, communication, collaboration, project management

Summary: Candidates should have over 10 years of engineering experience and at least 5 years in a managerial role, with a strong background in cloud infrastructure and AI technologies. Exceptional communication and project management skills are also required.

Skills: cyber security, ai technologies, cloud infrastructure, project management, communication skills, team leadership, regulatory compliance, cyber automation, ai security solutions, technical architecture, machine learning, knowledge sharing, collaboration, innovation, continuous improvement, security operations

Summary: Candidates should have 5+ years of engineering experience with strong proficiency in Java and Salesforce technologies. Experience in managing sprints and mentoring engineers is also required.

Skills: java, salesforce, spring boot, aws, api development, microservices, apex, lightning web components, automation, troubleshooting, mentoring, ci/cd, kafka, event-driven systems, data integrity, observability

Summary: Candidates should have experience with POSIX-based operating systems and familiarity with Docker. Knowledge of cloud networking and a desire to automate repetitive tasks are also important.

Skills: docker, kubernetes, terraform, helm, istio, aws, python, javascript, postgres, redis, gitlab, bash, monitoring, alerting, automation, networking

Summary: Candidates should have at least 8 months of backend development experience and a good understanding of relational databases and SQL. They should also be quick learners and have experience in taking ownership of features and solving complex problems.

Skills: backend development, sql, python, data pipelines, data modelling, etl, debugging, monitoring, application development, data warehouse, collaboration, problem solving, feature ownership, data analysis, version control, microservices

Summary: Senior, hands-on Head of Engineering to own domain, drive latency improvements, implement observability and quality pipelines, lead cross-functional teams shipping at scale, leveraging node.js, postgresql, mongodb.

Skills: node.js, postgresql, mongodb

Summary: Candidates should have strong software engineering fundamentals and experience in building frameworks for data platforms. A broad understanding of cloud architecture tools and significant experience with Big Data and data lakes is essential.

Skills: software engineering fundamentals, data platforms, cloud architecture, big data, spark, sql, etl testing, ci/cd tools, scala, java, python, aws, distributed systems, automation, data pipeline orchestration, debugging, performance tuning

Summary: Candidates should have 8+ years of software engineering experience with deep expertise in modern frontend development. Strong full-stack capabilities and a proven track record of leading complex technical initiatives are also required.

Skills: frontend development, react, typescript, component architecture, build tooling, api design, backend systems, data modeling, system design, performance considerations, scalability, technical leadership, code reviews, design reviews, architectural documentation, mentoring

Summary: Candidates should be graduate or final-year students in Computer Science or equivalent with some experience in Python technologies. Strong analytical skills, teamwork, and a passion for innovative solutions are essential.

Skills: python, machine learning, data engineering, analytical thinking, conceptual thinking, team player, eagerness to learn, entrepreneurial attitude, communication skills

Summary: Candidates should have hands-on experience with LLMs and orchestration tools. Familiarity with observability tools and retrieval systems is also essential.

Skills: ai infrastructure, llm experience, orchestration, observability, retrieval, rag experience, python, typescript, debugging, data pipeline, embedding models, healthcare knowledge, model evaluation, fastapi, fastify, postgresql, bigquery

Summary: Candidates must have a bachelor's degree in a relevant field and at least 5 years of software engineering experience, including 1-3 years in a supervisory role. Experience with relational databases, source control systems, and Agile methodology is also required.

Skills: software engineering, team management, vendor management, agile methodology, c#, angular, powershell, powerapps, sql, git, communication skills, presentation skills

Summary: A bachelor's degree in Computer Science or a related field is required, along with a minimum of 8 years of software engineering experience, including team leadership. Candidates should have expertise in cloud-based environments and modern technologies.

Skills: software engineering, team leadership, cloud infrastructure, devops, ci/cd, .net, angular, postgres, sql server, oracle, technical talent development, collaboration, change management, application security, agile methodologies, problem solving

Summary: Candidates should have over 5 years of engineering leadership experience and a proven track record in building and scaling SaaS products. Deep expertise in applied AI and machine learning implementations is essential.

Skills: engineering leadership, ai, machine learning, saas products, technical vision, team management, collaboration, problem solving, innovation, agile methodologies, data-driven decision making, technical excellence, experimentation, rapid iteration, product development, high-impact leadership

Summary: Candidates must have a bachelor's degree in Computer Science or a related field with at least 12 years of software engineering experience, including 4 years in a leadership role. Strong understanding of modern software development practices and experience with multi-tenant SaaS projects are essential.

Skills: software engineering, leadership, mentoring, agile, saas, ai, integration, architecture, collaboration, communication, project management, risk management, process improvement, team building, technical oversight, performance management

Summary: Candidates should have 2-5 years of experience in data science, data engineering, or related fields, with strong programming skills in Python and familiarity with AI agent frameworks. A background in FinTech or financial services is preferred, along with experience deploying AI agents in production settings.

Skills: python, langgraph, pytorch, fastapi, sqlalchemy, pandas, numpy, ai agent design, multi-agent systems, database systems, data pipelines, generative ai, data visualization, cloud platforms, github, jira

Summary: Candidates should have 8+ years of experience in ML, search, or backend engineering roles, with a strong track record of shipping ML-powered products. A Master's or PhD in Computer Science, Machine Learning, or a related field is preferred.

Skills: machine learning, search, backend engineering, product development, team leadership, ai products, rag systems, llm ecosystems, orchestration frameworks, vector databases, nlp, data quality, responsible ai, human-in-the-loop, frontend development, knowledge graphs

Summary: Candidates should have at least 8 months of web development experience and familiarity with modern frontend frameworks like React. They should be capable of taking ownership of features and solving complex problems.

Skills: web development, frontend development, backend development, python, react, javascript, fastapi, postgres, redis, gitlab, aws, kubernetes, monitoring, debugging, testing, data-driven, problem solving

Summary: Hands-on Engineering Release Manager coordinating frontend, backend, and mobile releases; requires strong React, Next.js, and Node.js experience, Jira/Agile, and cross-team coordination across multiple time zones.

Skills: react, next.js, node.js

Summary: Candidates should have extensive backend engineering experience, particularly in Typescript and NodeJS, and the ability to make nuanced product decisions. Strong communication skills and process orientation are essential, along with basic management skills for overseeing direct reports.

Skills: backend engineering, typescript, nodejs, product decisions, communication skills, process orientation, management, attention to detail, articulate communication, feedback, collaboration, autonomy

Summary: You should be studying Computer Science or a related field and have some practical experience in Software Engineering. Familiarity with Typescript, React, and Next.js is required, along with fluency in German and English.

Skills: software engineering, typescript, react, next.js, ai technologies, debugging, problem solving, technical input, machine learning, education use-cases, independent work, project development, german language, english language

Summary: Candidates should have a Bachelor's or Master's degree in a relevant field and over 5 years of experience managing software engineering teams. Expertise in applied AI/ML and proficiency in programming languages like Python or JavaScript is also required.

Skills: ai, ml, software engineering, data analysis, python, javascript, apis, microservices, collaboration, communication, problem solving, risk assessment, data privacy, compliance, innovation, mentoring

Summary: Candidates should have 3-5 years of technical recruitment experience, particularly in product management and software engineering roles. A B.S. degree in business administration, human resources, or a related field is preferred.

Skills: technical recruiting, sourcing, screening, interviewing, negotiation, communication, organizational skills, adaptability, networking, team collaboration, data integrity, candidate assessment, cultural fit evaluation, recruitment metrics, applicant tracking systems, technical knowledge, customer-centric approach

Summary: Candidates should have 5-10+ years of experience in software development, with strong proficiency in programming languages such as C# or Java. Familiarity with Agile practices and experience in mentoring junior developers are also essential.

Skills: c#, java, javascript, ms-sql server, sybase, python, c/c++, mysql, apache, nginx, redis, jquery, knockout.js, microservices, agile, unit testing, continuous integration

Summary: Candidates should have proven experience leading software engineering teams in an agile environment and a strong technical background in modern software development. A bachelor's degree in Computer Science or a related field is preferred, along with 5-8 years of software development experience.

Skills: leadership, software development, agile development, collaboration, problem-solving, communication, interpersonal skills, java, .net, cloud platforms, apis, devops, ci/cd, saas, hr technology, enterprise software, strategic thinking

Summary: Candidates should have 8+ years of software engineering experience, including at least 1 year in a management role. Deep technical expertise in React, TypeScript, and modern frontend architecture patterns is essential.

Skills: react, typescript, webpack, micro frontends, module federation, performance optimization, mentoring, team leadership, incident resolution, responsive design, hybrid mobile approaches, code quality, system design, collaboration, communication, modern build systems

Summary: Candidates should have 10+ years in software engineering with at least 5 years in a leadership role, along with a proven track record of shipping and operating business-critical services. A strong background in cloud-native architectures and experience with coaching and developing talent are also essential.

Skills: software engineering, leadership, cloud-native architectures, api-driven systems, event-driven systems, backend services, frontend applications, incident management, observability, devsecops, continuous improvement, data-driven approach, coaching, mentoring, product management, security

Summary: Candidates should have a doctorate or equivalent experience in Data Science or related fields, with a strong emphasis on semantic modeling and machine learning. Preferred qualifications include extensive experience in enterprise environments and practical knowledge of reinforcement learning.

Skills: semantic modeling, context engineering, ai data science, machine learning, feature engineering, exploratory data analysis, reinforcement learning, python, stakeholder management, knowledge graphs, data quality, governance patterns, analytical skills, communication skills, teamwork, presentation skills

Summary: Candidates should have experience in building AI features for SaaS platforms and strong communication skills for both technical and non-technical audiences. A passion for learning and a performance-driven attitude are essential.

Skills: ai features, saas platforms, team leadership, product development, technical decision making, collaboration, continuous improvement, communication, curiosity, learning, data analysis, generative ai, humility, performance-driven, team player, problem solving

Summary: Candidates must have a Bachelor's degree in Computer Science or a related field and at least 5 years of professional software development experience using .NET. Additionally, 2 years of experience building microservice applications in the cloud and 1 year of leadership experience are required.

Skills: c#, .net, microsoft azure, microservices, restful apis, scrum master, sql, data lakes, jira, confluence

Summary: Candidates should have a minimum of five years of technical experience in cloud computing and security, along with experience in implementing automated workflows in CI/CD environments. Strong project management skills and the ability to communicate technical issues clearly are also essential.

Skills: cloud computing, security, identity and access management, it infrastructure, devsecops, automation tools, containers, project management, people leadership, communication, threat intelligence, incident management, security metrics, aws, gcp, azure

Summary: Candidates should have a minimum of five years of technical experience in cloud computing, security, and related fields. Strong project management and leadership skills, along with the ability to communicate technical issues clearly, are essential.

Skills: cloud computing, security, identity and access management, it infrastructure, devsecops, automation tools, containers, docker, kubernetes, project management, people leadership, communication, threat intelligence, incident management, security metrics, cloud security

Summary: Candidates should have strong experience as a senior software engineer and proven ability to lead engineers while remaining hands-on. Deep experience with .NET (C#) and React is required, along with clear communication skills.

Skills: team leadership, software engineering, c#, react, technical guidance, code quality, problem solving, product management, technical execution, code reviews, automated testing, ci/cd, communication skills, technical discussions, risk management, ai-assisted development tools

Summary: Lead and scale the AI-driven platform; set technical roadmap, mentor engineers, and collaborate with Ops/Product to deliver scalable, high-quality AI products. Top tech: next.js, react, postgresql.

Skills: react, next.js, postgresql

Summary: Candidates must have a Bachelor's degree in Computer Science or a related field and at least 5 years of professional software development experience using .NET. Leadership experience of at least 1 year and proficiency with cloud microservices and SQL are also required.

Skills: c#, .net, microsoft azure, microservices, restful apis, sql, data lakes, jira, confluence, scrum master, software development, team leadership, testing, cloud computing, user stories, acceptance criteria

Summary: Candidates should have a Bachelor's degree in a relevant field and over 10 years of hands-on software engineering experience, including leadership roles. Experience in building large-scale consumer-facing applications and managing cross-functional teams is also required.

Skills: software engineering, mobile applications, leadership, team management, consumer facing applications, technical design, architecture, devops, site reliability engineering, continuous integration, continuous deployment, performance feedback, career coaching, software operations, security, quality assurance

Summary: Candidates should have extensive experience in physical security design consulting and project management within the built environment. A security-related qualification and membership in a security-related institute are also required.

Skills: security design, project management, client management, problem solving, technical security reviews, audits, design surveys, installation inspections, interpersonal skills, mentoring, business development, financial forecasting, report writing, specification development, riba plan of work, electronic security systems, physical security systems

Summary: Candidates should have 10-15+ years of experience in large-scale, distributed, cloud-native platforms and proven experience in a senior engineering role. Proficiency in programming languages and modern cloud architecture is essential.

Skills: backend engineering, microservices, cloud infrastructure, python, go, typescript, cloud architecture, containerization, docker, kubernetes, iac, terraform, api design, event-driven systems, systems thinking, communication skills

Summary: Candidates should have proven experience in building microservices and managing cloud infrastructure, along with proficiency in programming languages such as Python, Go, or Typescript. A Bachelor's or Master's degree in a related field is required.

Skills: backend engineering, microservices, cloud infrastructure, python, go, typescript, gcp, aws, azure, restful apis, grpc, database design, problem solving, code reviews, security, scalability

Summary: Candidates should have 8+ years of experience in software engineering, including 5+ years in a management role. A strong technical background, particularly in Ruby on Rails and project management, is essential.

Skills: software engineering, team leadership, project management, ruby on rails, react, next.js, graphql, typescript, data architecture, problem solving, decision making, technical mentorship, operational excellence, data-driven strategy, system reliability, agile methodologies

Summary: Candidates should be pursuing a degree in Computer Science, Aerospace Engineering, or a related field, with experience in software testing and automation. A strong interest in distributed systems and cloud software is also desired.

Skills: python, typescript, automated testing, end-to-end testing, git, apis, cloud concepts, debugging, collaboration, quality assurance, ci/cd, software testing, distributed systems, task execution, documentation, communication

Summary: The ideal candidate should have a Bachelor's degree in a related field, with 10+ years of experience in data science and AI, including at least 3 years in a senior leadership role. They should possess hands-on expertise in various AI technologies and demonstrate strong leadership and change management skills.

Skills: data science, machine learning, ai engineering, mlops, predictive modeling, deep learning, nlp, computer vision, generative ai, change management, collaboration, innovation, ethical ai, performance metrics, talent development, organizational strategy

Summary: Candidates should have 10-15+ years of experience in large-scale, distributed, cloud-native platforms and proven experience in a senior engineering role. Proficiency in programming languages and modern cloud architecture is essential.

Skills: backend engineering, microservices, cloud infrastructure, python, go, typescript, cloud architecture, containerization, docker, kubernetes, iac, terraform, api design, event-driven systems, problem-solving, communication

Summary: Candidates should have 10-15+ years of experience in large-scale, distributed, cloud-native platforms and proven experience as a Principal/Staff Engineer or Senior Architect. Proficiency in programming languages and modern cloud architecture is essential.

Skills: backend engineering, microservices, cloud infrastructure, python, go, typescript, cloud architecture, containerization, docker, kubernetes, iac, terraform, api design, event-driven systems, problem-solving, communication

Summary: Candidates should have proven experience in building microservices and managing cloud infrastructure, along with proficiency in programming languages like Python, Go, or Typescript. A Bachelor's or Master's degree in Computer Science or a related field is required.

Skills: microservices, cloud infrastructure, python, go, typescript, gcp, aws, azure, restful apis, database design, problem solving, code reviews, security, scalability, integration, communication

Summary: Candidates should have proven experience in building microservices and managing cloud infrastructure, along with proficiency in programming languages like Python, Go, or Typescript. A Bachelor's or Master's degree in a relevant field is required.

Skills: backend engineering, microservices, cloud infrastructure, python, go, typescript, gcp, aws, azure, restful apis, grpc, database design, problem solving, code reviews, security, scalability

Summary: Candidates should have a minimum of 5 years in software engineering with a strong background in full-stack development. A degree in Computer Science or a related field is preferred, along with expertise in modern front-end frameworks and web performance.

Skills: software engineering, full stack development, es6, typescript, node.js, react.js, next.js, astro.js, web performance, technical seo, ui/ux, accessibility, observability, microservices, restful apis, cloud infrastructure

Summary: Candidates must have at least 4 years of professional experience in civil engineering-related tasks. Experience with software for calculations, design layouts, and site inspections is essential.

Skills: civil engineering, ai evaluation, project management, drones, site surveying, design layouts, compliance, cost calculation, material quantities, feedback delivery, asynchronous work, software proficiency, problem solving, collaboration, technical writing, communication

Summary: Candidates must have at least 4 years of professional experience in mechanical engineering or related fields. Responsibilities include interpreting engineering sketches, conducting tests, and preparing detailed drawings.

Skills: mechanical engineering, ai evaluation, technical support, mechanical design, testing, performance analysis, drawing preparation, cost estimation

Summary: Candidates should have at least 6 years of software development experience with a strong background in AI and LLM-integrated products. Leadership experience in managing engineering teams and familiarity with modern tech stacks is also required.

Skills: software development, ai expertise, llm integration, typescript, react, node.js, cloud infrastructure, engineering leadership, team building, system design, cost optimization, observability, mentoring, deployment processes, incident response, startup orientation

Summary: Candidates should have 8+ years of software engineering experience, including 3+ years in a leadership role. A strong background in high-growth environments and the ability to communicate effectively with both technical and non-technical stakeholders is essential.

Skills: software engineering, team leadership, fraud detection, product development, architectural decisions, systems thinking, communication, mentorship, technical roadmaps, node.js, react, graphql, python, docker, postgresql, aws

Summary: Candidates must have a Bachelor’s or Master’s degree in electrical engineering and a minimum of 10-15 years of experience in hyper-scale data center electrical systems design. Strong knowledge of electrical infrastructure and systems, along with excellent communication and project management skills, is required.

Skills: electrical engineering, data center design, project management, power distribution, high voltage systems, medium voltage systems, low voltage systems, client engagement, mentoring, market analysis, electrical load analysis, energy efficiency, sustainability practices, regulatory compliance, technical evaluation, team leadership

Summary: Candidates should have significant expertise in software engineering and experience teaching or mentoring others. They must be able to deliver clear explanations and adapt their teaching style to different audiences.

Skills: machine learning, llm internals, prompt engineering, agentic ai, coding with llms, integrating with llms, customising llm tools, technical mentoring, teaching, clear explanations, real-world experience, communication skills, passion for teaching, building rapport, problem solving

Summary: Candidates should have a Master's degree in Computer Science, Artificial Intelligence, or a related field, along with 10+ years of experience in engineering or technology leadership. A strong focus on AI principles and a proven track record in implementing AI solutions is essential.

Skills: ai engineering, ai operations, leadership, data integration, model deployment, ai lifecycle, cloud platforms, google cloud platform, azure ai foundry, ai best practices, team management, project execution, technical guidance, innovation, machine learning, ethical considerations

Summary: Candidates must have a Bachelor’s degree in a relevant field and at least 10 years of job-related experience, or a Master’s degree with 8 years of experience. Agile experience is preferred, and U.S. citizenship is required due to the nature of the work.

Skills: systems engineering, agile, ai integration, digital transformation, cmmi certification, process improvement, engineering lifecycle, metrics-driven leadership, collaboration, change management, decision-making, productivity enhancement, quality assurance, continuous improvement, workflow redesign, program execution

Summary: Candidates should have over 10 years of software development experience, including at least 4 years in leadership roles. A strong technical understanding of modern architectures and exceptional communication skills are essential.

Skills: software development, engineering leadership, technical acumen, healthcare data, communication skills, people management, organizational management, technical strategy, architecture, operational excellence, client engagement, stakeholder engagement, data analytics, cloud migration, problem solving, mentorship, collaboration

Summary: Candidates should have a Bachelor's degree in Computer Science or a related field, with 5+ years of experience in backend and API development. They must also have hands-on experience with Gravitee API Management Platform and designing ETL processes.

Skills: api development, api management, gravitee, identity management, etl processes, data engineering, backend engineering, restful apis, graphql, oauth 2.0, scim, java, python, node.js, database technologies, data pipeline tools

Summary: Candidates should have 8+ years of experience in building enterprise software and 2+ years in management. Experience with generative AI applications, strong communication skills, and a good understanding of engineering best practices are essential.

Skills: enterprise software, management, generative ai, open source, prompt engineering, fine-tuning, distributed systems, containerization, kubernetes, docker, data science, machine learning, cloud technologies, big data, spark, hive

Summary: Candidates should have 3+ years of experience in Software Engineering and 1+ years of teaching or tutoring experience. Proficiency in HTML, CSS, vanilla Javascript, React, Node, and Express is also required.

Skills: software engineering, html, css, javascript, react, node, express, teaching, tutoring, communication, feedback, empathy, mentoring, debugging, project navigation

Summary: Candidates should have 10+ years of experience in building consumer-facing applications and several years in engineering leadership roles. They must remain technically proficient and excel at cross-functional partnerships.

Skills: ui engineering, frontend systems, product direction, design reviews, engineering excellence, mentoring, cross-functional collaboration, performance, accessibility, mobile applications, web applications, architectural decisions, real-time applications, modern frontend frameworks, ai/ml products, team building

Summary: Candidates should have a Bachelor’s or Master’s degree in Computer Science or a related field, with over 10 years of engineering experience and at least 5 years in a leadership role. A strong background in security best practices and desktop application development is essential.

Skills: software engineering, security, reverse engineering, desktop software development, team management, project management, agile methodologies, secure coding practices, vulnerability mitigation, compliance standards, cross-functional collaboration, technical leadership, mentoring, risk management, continuous improvement, system design

Summary: Candidates should have a Bachelor's or Master's degree in Computer Science or a related field, with over 10 years of engineering experience and at least 5 years in a leadership role. A strong background in security practices and desktop application development is essential.

Skills: software engineering, security, reverse engineering, desktop software development, team management, project management, agile methodologies, secure coding practices, vulnerability mitigation, compliance standards, cross-functional collaboration, mentoring, coaching, risk management, continuous improvement, operational excellence

Summary: Candidates should have over 5 years of experience in frontend web development with strong proficiency in modern JavaScript frameworks. They should also possess excellent communication skills and experience in leading projects and mentoring junior developers.

Skills: html, css, javascript, typescript, react, vue.js, node.js, responsive design, web performance optimization, web accessibility, unit testing, agile development, collaboration, mentoring, debugging, documentation

Summary: Candidates should have proven experience in frontend web UI projects and proficiency in Typescript and JavaScript. A Bachelor's or Master's degree in a related field and an active security clearance are also required.

Skills: frontend development, user interfaces, typescript, javascript, rest apis, responsive design, cross-platform compatibility, svelte, astro, ui/ux design, automated testing, collaboration, code reviews, communication, attention to detail, problem solving

Summary: A student or recent graduate in Computer Science, Software Engineering, or a related discipline is required. Candidates should have a foundation in programming languages and familiarity with front-end and back-end technologies.

Skills: python, java, javascript, c++, html, css, react, node.js, django, flask, sql, mongodb, git, problem-solving, analytical skills, communication skills

Summary: Candidates should have proven experience in building microservices and managing cloud infrastructure, along with proficiency in programming languages like Python, Go, or Typescript. A Bachelor's or Master's degree in a related field is required.

Skills: microservices, cloud infrastructure, python, go, typescript, gcp, aws, azure, restful apis, database design, problem solving, code reviews, security, scalability, integration, collaboration

Summary: Candidates should have proven experience in building microservices and managing cloud infrastructure, along with proficiency in programming languages like Python, Go, or Typescript. A Bachelor's or Master's degree in a related field and an active security clearance are also required.

Skills: microservices, cloud infrastructure, python, go, typescript, gcp, aws, azure, restful apis, database design, problem solving, code reviews, security, integration, collaboration, mentoring

Summary: A minimum of 5 years of experience in a product development, engineering, manufacturing, or quality environment is required. Knowledge of engineering principles, manufacturing processes, and relevant software is essential.

Skills: product development, engineering, quality management, project management, collaboration, problem solving, manufacturing processes, technical integration, mechanical engineering, electrical engineering, automation, quality control, design specifications, team leadership, process improvement, small engine components

Summary: Candidates should have 7+ years of software engineering experience, with at least 5 years in a leadership role. Familiarity with cloud platforms, data engineering technologies, and compliance requirements is essential.

Skills: software engineering, cloud platforms, data engineering, agile methodologies, api development, system design, microservices, observability, operational best practices, compliance requirements, team leadership, mentoring, communication, collaboration, problem solving, data governance

Summary: Candidates should have over 10 years of experience managing enterprise applications and at least 5 years leading teams in a mid- to large-scale organization. Strong strategic and analytical skills, along with excellent communication abilities, are essential for this role.

Skills: enterprise applications, strategic problem-solving, application strategy, project management, stakeholder influence, governance, team leadership, change management, collaboration, analytical skills, communication skills, crm, erp, finance systems, supply chain systems, risk management