Software Engineering Jobs with Salary ≥ 100k

Summary: Candidates must have a mastery of an object-oriented programming language, preferably Java, and at least 5-7 years of relevant work experience. Strong leadership, communication skills, and knowledge of cloud infrastructure and data processes are also required.

Skills: leadership, data engineering, cloud infrastructure, data modeling, etl processes, sql, project management, troubleshooting, problem solving, communication, collaboration, software development, mentoring, automation, agile methodologies, technical escalation

Summary: Candidates must have over 10 years of deeply technical engineering experience, including 3-4 years managing and coaching engineers, with a strong passion for Kubernetes and distributed systems designed for high scale. Essential technical skills include hands-on experience with backend languages like Go, Rust, or Python, and the ability to own complex projects from planning to completion.

Skills: software engineering leadership, mentoring, coaching, architectural decisions, design reviews, distributed backend services, kubernetes-native ecosystem, system reliability, performance improvement, cross-functional collaboration, go, rust, python, project ownership, api design, high-volume systems

Summary: Candidates must have over 5 years of experience managing engineering teams covering frontend, backend, and platform roles, alongside over 7 years developing enterprise software using technologies like Golang, Kubernetes, and Azure. Expertise in scalable, concurrent systems, distributed concepts, SaaS architecture, and cloud database/storage systems is required.

Skills: frontend engineering, backend engineering, platform engineering, react, golang, kubernetes, azure, saas architecture, distributed systems, agile ceremonies, roadmap planning, risk management, team management, on-call rotation management, data resilience, cloud-native technologies

Summary: Candidates should have 8+ years of industry experience with at least 3 years in a leadership role within a data-driven environment. Experience with a variety of technologies and methodologies, including Agile, is required.

Skills: software engineering, agile, java, go, react, aws, ci/cd, automated testing, mysql, saas, real-time data streaming, apache flink, kubernetes, scrum, kanban

Summary: Candidates should have over 12 years of software engineering experience, with at least 5 years in management roles. A deep understanding of distributed systems and the ability to manage dependencies across teams is essential.

Skills: cross-organizational dependency management, software engineering, team management, platform teams, distributed systems, high-availability systems, recruitment, stakeholder alignment, e-commerce, payments, checkout systems, mobile development, web development, re-architecture, experimentation, backend frameworks

Summary: Candidates should possess a bachelor's degree or equivalent experience along with 6-8 years of technical project management experience. A Project Management Certification (PMP, CSM, CAPM) is strongly preferred.

Skills: project management, agile development, communication skills, problem solving, team collaboration, budget management, technical guidance, scope management, stakeholder coordination, research skills, time management, adaptability, leadership, analytical skills, prioritization, training

Summary: Candidates must have a Bachelor's degree in a related field and at least 10 years of professional software experience, including 3 years managing engineering teams. Strong hands-on experience with modern data platform tooling and knowledge of SQL, Python, and Typescript is required.

Skills: software engineering, data platforms, microservices architecture, generative ai, data analytics, sql, python, typescript, etl processes, data modeling, apache airflow, aws glue, aws redshift, aws sagemaker, aws dynamo, aws quick sight

Summary: Candidates must have a Bachelor's degree in Computer Science or related field, or equivalent experience, along with 5+ years in software engineering and 2+ years in a technical leadership role. Strong hands-on experience with Python/Django and JavaScript/React is required.

Skills: software engineering management, screening systems, fraud prevention, individual contribution, people leadership, python, django, javascript, react, datadog, third-party integrations, system monitoring, incident response, technical planning, vendor management, mentoring

Summary: Candidates must have a Bachelor's degree in Computer Science or related field, or equivalent experience, along with 5+ years in software engineering, including 2+ years in a technical leadership capacity. Strong hands-on experience with Python/Django and JavaScript/React is required, as is experience operating production systems using Datadog.

Skills: software engineering management, screening systems, fraud prevention, individual contribution, people leadership, python, django, javascript, react, production code ownership, technical planning, vendor integrations, system monitoring, incident response, mentoring, stakeholder partnership

Summary: Candidates should have a bachelor's degree in Computer Science or a related field, along with 5+ years of professional software engineering experience and 2+ years in a technical leadership role. Strong hands-on experience with Python, Django, JavaScript, and React is required, along with experience in monitoring and operating production systems.

Skills: python, django, javascript, react, software engineering, technical leadership, production systems, system monitoring, incident response, collaboration, problem-solving, vendor management, team management, code review, technical planning, integration

Summary: Candidates must have a Bachelor's degree in Computer Science, Engineering, or equivalent experience, along with 5+ years in professional software engineering, including production systems support. A minimum of 2 years in a technical leadership role is required, alongside strong hands-on experience with Python/Django for backend and JavaScript/React for frontend development.

Skills: software engineering management, screening systems, fraud prevention, individual contribution, people leadership, python, django, javascript, react, datadog, third-party integrations, system monitoring, incident response, technical planning, mentoring, stakeholder partnership

Summary: Candidates must have a Bachelor's degree in Computer Science, Engineering, or equivalent experience, along with 5+ years in professional software engineering, including production system support, and 2+ years in a technical leadership capacity. Strong hands-on experience with Python/Django for backend and JavaScript/React for frontend development is required, as is experience with system monitoring tools like Datadog.

Skills: software engineering management, screening systems, fraud prevention, individual contribution, people leadership, python, django, javascript, react, system monitoring, third-party integrations, vendor management, incident response, technical planning, mentoring, datadog

Summary: Candidates must possess a Bachelor's degree or equivalent experience, including over 10 years in large-scale software product engineering and at least 2 years in software management, mentoring effective teams. Proven ability to define short and long-term strategy for scalability and communicate effectively across all organizational levels is essential.

Skills: team leadership, people development, mentoring, coaching, ci/cd, unit testing, functional testing, process improvement, product management collaboration, onboarding, training material development, engineering best practices, sdlc improvement, secure coding practices, succession planning, conflict resolution

Summary: Candidates should have over 8 years of software or infrastructure engineering experience, including 2 years in a management role. Experience with production database platforms and cloud providers is essential.

Skills: software engineering, database management, cloud infrastructure, automation, incident response, security, cost optimization, observability, performance tuning, disaster recovery, team leadership, cross-functional collaboration, infrastructure as code, kubernetes, postgresql, mysql

Summary: Candidates must have a bachelor's degree in Computer Science or Engineering and 8-10 years of experience in software development. Additionally, 6-8 years of experience as a people manager is required.

Skills: software development, team leadership, web application development, javascript, html, css, angular, typescript, c#, .net core, rest, aws, ci/cd, agile, database management, security practices, debugging

Summary: Candidates should have 5+ years of experience building backend/fullstack applications and 2-5 years of experience managing teams of 5 or more engineers. Strong experience in scalable backend systems and ML Ops platforms is also required.

Skills: software engineering, team management, full-stack development, machine learning, data engineering, api development, user experience, agile methodologies, problem solving, scalable systems, technical leadership, cross-functional collaboration, process improvement, mentoring, product strategy, communication

Summary: Candidates should have over 10 years of experience in building and operating distributed systems, along with 5+ years of people management experience. Strong communication skills and a solid understanding of software quality practices are also required.

Skills: people management, distributed systems, stakeholder management, api-first system design, cloud operations, software quality practices, data capabilities, java, node.js, vue, event-driven systems, technical strategy, incident readiness, continuous improvement, communication, coaching

Summary: Candidates should have an MS or PhD in a relevant field with 12+ years of industry experience and a strong grasp of computer architecture and machine learning fundamentals. Proficiency in C/C++ and Python, along with experience in implementing algorithms for specialized hardware, is essential.

Skills: software kernels, computer architecture, data structures, system software, machine learning, c/c++ development, python development, embedded systems, fpgas, dsps, gpus, ai accelerators, ml frameworks, ml compilers, leadership, team collaboration

Summary: A Bachelor's Degree in Computer Science or related field is required, along with a minimum of 6 years of software development experience. Knowledge of SaaS operations and strong communication skills are essential.

Skills: software engineering management, agile software development, data analysis, sdlc, estimation, cloud-based applications, troubleshooting, react, javascript, typescript, nodejs, oop, typeorm, mysql, git, aws

Summary: Candidates should have a strong background in software engineering and leadership experience in delivering quality software. Effective communication and collaboration skills are essential for mentoring and guiding the team.

Skills: software engineering, leadership, performance facilitation, agile methodologies, full-stack development, communication, collaboration, mentorship, coaching, recruiting, problem solving, team management, feedback, employee development, technical background, user-facing products

Summary: Candidates should have 7+ years of software engineering experience and 2+ years in a management role. A strong understanding of scalable systems and experience in FinTech or regulated industries is essential.

Skills: software engineering, people management, content management systems, headless architectures, agile methodologies, php, graphql, sql, javascript, typescript, security best practices, data privacy, compliance, mentorship, collaboration, problem solving, decision making

Summary: Candidates should have 7+ years of software engineering experience and 2+ years as a people manager. Proven experience in delivering production software in FinTech or regulated industries is essential.

Skills: software engineering, team leadership, agile methodologies, content management systems, headless architecture, php, graphql, sql, javascript, typescript, security best practices, data privacy, collaboration, problem solving, mentorship, continuous improvement

Summary: Proven experience leading engineering teams in CI/CD and build systems is essential. A strong background in modern automation tools and cloud-native environments is also required.

Skills: continuous integration, build systems, developer productivity, automation tools, cloud-native environments, infrastructure-as-code, python, kotlin, java, problem-solving, communication, leadership, mentoring, technical decision-making, monitoring, incident response

Summary: Candidates should have 15+ years of experience in Machine Learning or related fields and a successful track record in leading ML teams. They must be comfortable working in matrix organizations and have experience in hiring and retaining talent.

Skills: machine learning, ai, model development, business outcomes, product leadership, cross functional collaboration, talent acquisition, ml platform engineering, experimentation culture, risk management, legal compliance, data analysis, transformers, underwriting, fraud detection, personalization

Summary: Candidates must have 8+ years of software engineering experience and 5+ years in engineering leadership. Strong hands-on experience with multiple programming languages and a solid understanding of software development best practices are essential.

Skills: software engineering, team leadership, technical direction, quality assurance, golang, rust, python, javascript, typescript, css, full stack development, sdlc best practices, cross-functional collaboration, mentorship, data engineering, user interface development, backend development

Summary: Candidates should have a degree in Computer Science or a related field, along with 3+ years of software development management experience. Hands-on experience with modern technologies and Agile processes is essential.

Skills: software development, agile methodologies, angular, java, aws, mentoring, technical leadership, incident response, container orchestration, code reviews, data-driven decisions, high-availability systems, collaboration, technical architecture, problem solving, communication

Summary: The ideal candidate should have proven experience leading software development teams and delivering enterprise applications, with a strong background in Java, Python, and Agile practices. Excellent leadership, communication, and problem-solving skills are essential, along with the ability to drive results and foster a high-performance culture.

Skills: software development, agile methodologies, technical design, architecture decisions, java, python, spring, sql, web technologies, leadership, communication, problem-solving, ai technologies, team performance, vendor management, process management

Summary: Candidates should have at least 6 years of experience as an individual contributor and 2 years managing engineering teams. A strong technical background and experience in remote management are essential.

Skills: leadership, team management, feedback, mentorship, remote management, technical support, process improvement, recruitment, team performance, innovation, ai strategies, agile methodologies, web development, mobile development, ruby on rails, aws

Summary: Candidates need a Bachelor's degree in a related field or equivalent experience, with 5+ years in software engineering supporting production systems and 2+ years in a technical leadership capacity. Strong hands-on experience with Python/Django and JavaScript/React, along with experience using Datadog for monitoring, is required.

Skills: software engineering management, screening systems, fraud prevention, individual contribution, people leadership, production code ownership, technical planning, team mentoring, work prioritization, vendor integration management, system monitoring, incident response, python, django, javascript, react

Summary: Candidates should have a proven track record in building consumer-facing mobile applications and experience in engineering management. A background in personalization or intelligent systems that enhance user-facing features is also required.

Skills: software engineering, machine learning, mobile applications, cloud infrastructure, data science, leadership, collaboration, experimentation, product development, technical design, communication, mentoring, project management, user experience, personalization, analytics

Summary: Candidates must have over 4 years of experience with DoD or IC remote sensing constellations, including GEOINT systems, and proficiency in Agile, software engineering, and project management principles. A current TS/SCI clearance is mandatory, along with a Bachelor's degree in a STEM field.

Skills: remote sensing, software engineering, team leadership, project management, agile methodology, geoint systems, technical specifications, full-stack development, python, ui/ux, api, database technologies, schedule management, agentic ai, r&d project delivery

Summary: Candidates should have a Master's degree in Computer Science or Software Engineering, with at least 6 years of software engineering experience, including 2 years in management. Expertise in large-scale distributed systems and a strong understanding of security and compliance in cloud environments are essential.

Skills: software engineering, engineering management, distributed systems, api development, cloud security, compliance, leadership, team building, decision making, communication, project management, innovation, collaboration, automation, customer requirements, metrics-driven development

Summary: Candidates need over 8 years in infrastructure/SRE/cloud engineering, with at least 3 years leading specialized teams, demonstrating deep proficiency in AWS and Infrastructure-as-Code tools like Terraform. Essential qualifications include operational grit in handling incidents, understanding of MLOps infrastructure needs, and expertise in systems scaling and observability.

Skills: sre, infrastructure, mlops, reliability, scalability, cost efficiency, cloud infrastructure, platform-as-a-product, slis/slos, incident response, mlops roadmap, cloud finops, infrastructure-as-code, disaster recovery, aws, terraform

Summary: Candidates should have over 10 years of software development experience, including 3 years in a director-level role managing managers. A strong background in web development and proven people management skills are essential.

Skills: software development, people management, coaching, team building, product orientation, technical guidance, collaboration, communication, web development, organizational leadership, recruiting, mentorship, adaptability, results driven, inclusivity, urgency

Summary: Candidates must have over 5 years of experience managing engineering teams, including 2 years managing other engineering managers, and possess expert technologist skills capable of influencing quality posture and defending architectural decisions. Strong communication, analytical skills, and an agile mindset are required to thrive in a fast-paced, hyper-growth environment.

Skills: technical leadership, people management, software architecture, scalability, stability, cost effectiveness, stakeholder management, operational excellence, data analysis, technology roadmap, talent development, recruiting, agile, scrum methodology, problem solving, influencing skills

Summary: Candidates must have 5+ years of experience managing engineering teams and possess strong technical expertise. Excellent communication skills and familiarity with Agile methodologies are also required.

Skills: leadership, technical expertise, software development, agile methodology, problem solving, communication, team management, architecture design, operational excellence, data analysis, mentoring, recruitment, collaboration, analytical skills, influencing, entrepreneurial mindset

Summary: Candidates must have a minimum of ten years of experience in software engineering leadership, with at least five years in delivering SaaS solutions. They should also have experience managing cross-functional teams and a proven track record of delivering high-quality releases.

Skills: devsecops, saas, iaas, microservices, collaboration, team building, customer support, security, project management, technical leadership, budget management, data-driven culture, cloud-based infrastructure, operational slas, automation, compliance

Summary: Candidates must have a minimum of ten years leading software engineering teams, with at least five years delivering SaaS solutions, including managing cross-functional teams of managers, engineers, and architects delivering against operational SLAs. Demonstrated technical leadership in architecture, testing, and a proven track record of delivering high-quality releases on schedule are essential.

Skills: devsecops, cloud delivery engineering, saas, iaas, microservices, server-based applications, databases, stakeholder collaboration, team building, ci/cd pipelines, automation, platform services, sre, security services, budget management, data-driven culture

Summary: Candidates must have a Bachelor's degree in Engineering, Computer Science, or a related field with at least 5 years of systems development experience. Strong expertise in React/Redux and C# is required, along with experience in mentoring and aggregating data.

Skills: react, redux, javascript, typescript, c#, asp.net core, sql server, css, npm/node, webpack, msal, okta, build pipelines, cloud environments, azure app services, data aggregation

Summary: Software Engineering Intern focusing on TypeScript, React, and browser automation (Playwright). Contribute to an Electron desktop app, AI-powered features, and a React dashboard, with backend PostgreSQL and Prisma involvement.

Skills: typescript, react, tailwind, electron, playwright, postgresql, prisma, adonisjs, openai, pgvector, redis

Summary: Candidates should have 5+ years of experience in business intelligence or analytic development, with expertise in Big Data technologies and cloud development. Proficiency in programming languages such as Python and experience with DevOps practices are also required.

Skills: machine learning, full stack development, big data, data analysis, cloud development, apache spark, python, devops, cicd, software development lifecycle, business intelligence, healthcare information, dashboard reporting, analytical reporting, automation, continuous improvement

Summary: Candidates should have 3+ years of experience in business intelligence or analytic development, with expertise in Big Data technologies and cloud development, particularly on AWS. Strong data analysis skills and experience with Apache Spark and Python are also required.

Skills: machine learning, full stack engineering, big data, data analysis, cloud development, apache spark, python, devops, ci/cd, software development lifecycle, business intelligence, dashboard reporting, healthcare domain knowledge, scripting languages, automation, collaboration

Summary: Candidates must have 5+ years of documented experience in a business intelligence or analytic development role on large-scale projects, demonstrating expertise in Big Data technologies and excellent data analysis skills. Proficiency in scripting languages like Python, experience with DevOps/CICD, and design/architecture expertise with AWS, Teradata, and BI tools are required.

Skills: full stack engineering, data & analytics engineering, software development, ci/cd, automation, cloud services, genai, big data, scalable application development, code quality, data quality monitoring, solution architecture, agile team collaboration, trade-off evaluation, pyspark, scala

Summary: Candidates need at least 3 years of documented experience in a business intelligence or analytic development role on large-scale projects, with expertise in BigData and related technologies, and excellent data analysis skills. Proficiency in scripting languages like Python, experience with distributed application development (Spark/PySpark/Scala), and familiarity with cloud development (AWS) are required.

Skills: full stack engineering, data & analytics engineering, software deployment, automation first mindset, ci/cd adoption, data integration, analytical insights, genai, big data, cloud services, web frameworks, scalable technology, loose coupling, data quality monitoring, solution architecture, devops

Summary: Candidates should have 12 years of experience in Software Engineering/Management, with at least 4 years in people management. Experience in B2B SaaS product development and a strong understanding of customer requirements is essential.

Skills: software engineering, management, b2b saas, product mindset, team building, java, react, python, sql, aws, quality mindset, scrum, automation, ai, customer requirements, technology roadmap

Summary: Experience managing a team of software engineers and prior experience as a tech lead or Engineering Manager is required. A strong technical foundation as a software engineer is also necessary for meaningful engagement in architectural discussions.

Skills: people management, technical leadership, performance management, coaching, cross-functional collaboration, software engineering, problem solving, empathy, feedback, team building, trust, delivery execution, risk management, root cause analysis, circular economy, agile methodologies

Summary: Candidates should have a bachelor's degree with 12+ years of relevant experience, particularly in leading software engineering organizations. Deep knowledge of software architecture principles and AI development tools is essential.

Skills: software engineering, ai technologies, research, analytical skills, presentation skills, client engagement, market analysis, thought leadership, team leadership, saas platforms, data analysis, communication, strategic decision making, best practices, framework development, innovation

Summary: Candidates must have a proven track record managing technical teams, ideally with experience in Linux operating systems, language ecosystems, or security-focused environments, alongside a strong grasp of software security principles. Required expertise includes language ecosystems (Python, Go, Java, Javascript), build systems, dependency management, and experience with cloud-native technologies like Docker and Kubernetes.

Skills: software engineering leadership, open source libraries, security hardening, dependency management, build systems, vulnerability detection, sbom generation, provenance generation, cloud-native technologies, containerization, infrastructure as code, team mentorship, product strategy, compliance oversight, automation, cross-team collaboration

Summary: Candidates must have at least 6 years of experience in software engineering and 1 year of experience with cloud computing. A bachelor's degree is required, with a preference for a master's degree and additional experience in relevant technologies.

Skills: software engineering, full stack development, microservices, web development, javascript, html, css, typescript, java, cloud computing, agile practices, open source, digital experience, data management, infrastructure management, mentoring

Summary: Candidates should have over 10 years of experience managing diverse teams and delivering large technical programs. Expertise in large-scale data processing systems and a passion for leading technical teams is essential.

Skills: leadership, stakeholder management, data processing systems, data lake solutions, workflow orchestration, snowflake, spark, flink, kafka, kubernetes, aws, apache iceberg, mentorship, communication, technical strategy, project execution

Summary: Candidates should have over 10 years of experience managing diverse teams and delivering large technical programs. Expertise in large-scale data processing systems and a strong background in data infrastructure is required.

Skills: leadership, interpersonal skills, stakeholder management, data processing systems, data lake solutions, workflow orchestration, snowflake, spark, flink, kafka, kubernetes, aws, apache iceberg, mentorship, communication skills, open source

Summary: Candidates should have a Bachelor's degree in a related field or equivalent experience, along with 5+ years in software delivery. Experience with compliance standards and remote team management is also required.

Skills: software development, agile methodologies, mentoring, communication, collaboration, organization, detail orientation, remote team management

Summary: Bachelor's degree in Computer Science or a suitable combination of education and experience is required. At least 6 years of experience in a high-growth environment with a proven track record in mobile engineering is necessary.

Skills: mobile engineering, ios development, android development, cross-platform technologies, leadership, team management, strategic vision, operational excellence, technical quality, user experience, recruitment, mentorship, collaboration, budget management, technology strategy, communication

Summary: Candidates should have over 5 years of software development experience, with specific expertise in iPaaS and external APIs. Experience in people management and technical leadership is also required, along with proficiency in NodeJS, Typescript, and SQL.

Skills: software development, ipaas, people management, technical leadership, nodejs, typescript, sql, mysql, mariadb, project delivery, coding standards, integrations, customer facing api, scrum, jira, attention to detail, quality assurance

Summary: Candidates should have a bachelor's degree in a related field and at least 10 years of software engineering experience, including 5 years in a management role. Proven experience in delivering enterprise SaaS products and strong technical skills in AWS and modern frameworks are essential.

Skills: software engineering, technical leadership, aws, microservices, frontend frameworks, backend frameworks, postgresql, agile, generative ai, team management, incident response, production health, cloud-native design, scalability, reliability, security

Summary: Candidates must have a bachelor's degree in a related field or equivalent experience, along with at least 10 years in software engineering and 5 years in a management role. Strong leadership, strategic thinking, and problem-solving skills are essential.

Skills: c#, python, oop, solid, design patterns, ai/ml integration, azure, docker, kubernetes, restful api, kafka, rdbms, nosql, angular, react, graphql

Summary: Candidates must have a bachelor's degree in a related field or equivalent experience, along with at least 10 years in software engineering and 5 years in a management role. Strong leadership, strategic thinking, and problem-solving skills are essential.

Skills: c#, python, docker, modern rdbms, asp.net, restful api design, kafka, event-driven design, modern web ui frameworks, kubernetes, nosql databases, cloud-native applications, software security principles, owasp guidelines

Summary: Candidates need at least 2 years of experience as an Engineering Manager or Technical Lead, with a strong technical background in building backend systems and experience running production systems with on-call rotations. A proven track record of hiring and developing engineers, along with strong collaboration and systems design understanding, is essential.

Skills: team leadership, mentoring, talent retention, project delivery, technical excellence, operational discipline, cross-functional collaboration, observability, reliability, monitoring, alerting, code reviews, architecture guidance, debugging, distributed systems, on-call support

Summary: Candidates should have 5+ years of experience in building backend/fullstack applications and 2-5 years of experience managing teams of 5 or more engineers. Strong experience in scalable backend systems and ML Ops platforms is also required.

Skills: software engineering, team management, machine learning, data engineering, full-stack development, api development, search technologies, user experience, agile methodologies, problem solving, scalable systems, cross-functional collaboration, technical leadership, mentoring, process improvement, product strategy

Summary: Candidates should have at least 2 years of experience leading engineering teams and 7 years in software development, preferably with JVM/Scala or React. Experience with microservices, distributed systems, and API design for enterprise use is also required.

Skills: engineering management, software development, jvm, scala, react, microservices, distributed systems, api design, technical leadership, team building, debugging, technical roadmaps, b2b integrations, on-call management, technical communication, agile methodologies

Summary: Candidates should have at least 2 years of experience leading engineering teams and 7 years in software development, preferably with JVM/Scala or React. Experience with microservices, distributed systems, and robust API design is essential.

Skills: engineering management, software development, jvm, scala, react, microservices, distributed systems, api design, technical leadership, team building, mentoring, debugging, architectural reviews, b2b integrations, technical roadmaps, on-call management

Summary: Candidates should have proven experience in building and deploying Multi-Agent Frameworks, along with deep expertise in AI and machine learning. Strong leadership and communication skills are essential for mentoring and growing engineering teams.

Skills: ai, machine learning, backend engineering, multi-agent frameworks, llm integration, orchestration tools, evaluation frameworks, cross-functional collaboration, privacy compliance, search technologies, technical leadership, mentoring, innovation, collaboration, data protection, complex workflows

Summary: Candidates should have 8+ years of software engineering experience or a PhD with 4 years of experience, including hands-on technical management. A Bachelor’s or Master’s in Computer Science or equivalent practical experience is required.

Skills: software engineering, machine learning, technical management, team leadership, recruiting, performance management, coaching, mentoring, continuous learning, technical strategies, cross-functional collaboration, product delivery, technical innovation, growth, improvement

Summary: Candidates should have a Bachelor's degree in a relevant field or equivalent experience, along with at least 5 years of experience in software delivery. Familiarity with compliance standards like PCI DSS and experience with remote teams are also required.

Skills: software development, agile methodologies, mentoring, communication, collaboration, organizational skills, detail orientation, team leadership, diversity and inclusion, technical operations, recruitment, career development, empathy, remote team management, success metrics, software quality