Top Tech Jobs & Startup Jobs

Leads full-stack software engineering for secure, scalable enterprise applications. Designs, develops, reviews, debugs, and troubleshoots Java-based solutions using microservices, cloud-native architecture, databases, messaging, and modern UI frameworks. Drives automation, application resiliency, AI-assisted engineering practices, secure coding, testing standards, architectural evaluations, and adoption of emerging technologies. Coaches teams, leads communities of practice, and collaborates across internal teams and external vendors.

Manages CRM data platform solutions across Expedia Group brands, including Salesforce Data Cloud and Marketing Cloud. Designs and maintains data pipelines, integrations, segmentation logic, ETL/ELT processes, and customer engagement capabilities. Uses SQL, Python, Java, AWS, and DevOps practices for data processing, validation, deployment, and troubleshooting. Oversees data quality, governance, privacy compliance, testing, monitoring, UAT, and stakeholder collaboration while mentoring junior colleagues.

Leads technical strategy for complex enterprise client engagements, advising executives on architecture, integrations, cloud delivery, and digital transformation. Establishes technical standards, resolves multi-system escalations, leads cross-functional programs, supports sales pursuits, collaborates with cloud and integration partners, and mentors consultants and architects. The role requires hands-on experience with scalable application architecture, DevOps, cloud platforms, APIs, containers, SQL, Java, and JavaScript.

Designs, develops, tests, deploys, and supports reliable software solutions and significant application components. Translates business requirements into technical specifications, builds APIs and integrations, improves CI/CD and DevOps automation, performs testing and troubleshooting, monitors application health, and resolves production issues. Collaborates with product, architecture, engineering, and business teams while managing technical debt, supporting upgrades, guiding junior engineers, and participating in critical incident escalations.

Leads and consolidates a centralized security architecture engineering organization supporting threat modeling, architecture automation, testing, quality, SRE, and DevOps platforms. Owns engineering strategy, technical architecture, capacity allocation, operating standards, delivery quality, production resilience, hiring, staffing, performance management, and career development. Partners with product leadership to prioritize investments, establish measurable outcomes, and align engineering resources with business value and risk reduction.

Leads a software engineering team responsible for payment and fraud services, including application design, development, support, resiliency, architecture, APIs, scalability, and lifecycle management. Reviews Java and Spring Boot code, oversees incident response, drives technical standards and strategic initiatives, manages vendors and distributed teams, develops engineering talent, and promotes responsible AI adoption for coding and testing.

Leads design, development, testing, troubleshooting, and production delivery of scalable Java-based financial technology solutions. Builds resilient microservices using Java, Spring Boot, Kafka, React, AWS, and Kubernetes; manages unit, SIT, and UAT testing; supports clearing and settlement functions; and promotes secure, responsible AI-assisted engineering practices, automation, code quality, and operational stability.

Leads software engineering within an agile Corporate Technology team, designing, developing, troubleshooting, and reviewing secure enterprise applications. Builds Java and Spring Boot solutions using microservices, APIs, databases, cloud-native architecture, messaging, and modern UI frameworks. Drives automation, application resiliency, CI/CD, responsible AI-assisted development, technical evaluations, and engineering communities of practice. Coaches teams on secure AI adoption, validates AI-generated outputs, and promotes scalable engineering standards.

Designs, builds, and maintains secure data pipelines, ETL processes, data warehouses, and quality controls. Collects, validates, cleanses, and analyzes data; develops SQL queries, Tableau dashboards, and AWS-based solutions; investigates data integrity issues; documents standards; and partners with stakeholders to deliver technical solutions using Agile and DevOps practices.

Own technical post-sale relationships for enterprise customers, driving onboarding, adoption, optimization, integrations, renewals, and expansion. Partner with sales, product, and engineering; forecast customer consumption; solve technical issues; maintain project documentation; and represent customer needs. This field-based role involves customer travel and requires strong technical, business, and customer-facing skills, plus experience with enterprise software and performance monitoring tools.

Develop and deploy AI capabilities across enterprise ERP platforms including Workday and SAP Ariba. Build intelligent agents, chatbots, automation, integrations, and custom GenAI/LLM solutions. Establish PaaS environments, cloud services, deployment pipelines, security, governance, and engineering processes. Lead AI projects from concept through production, evaluate vendor versus custom solutions, support technology roadmaps, and promote AI literacy. Provide production support and training while aligning solutions with business needs and measurable ROI.

Leads enterprise agile transformation by coaching Scrum Masters and teams, facilitating PI Planning and other agile ceremonies, resolving program impediments, managing cross-team dependencies, and improving delivery flow. Partners with business, technology, product, and program leaders to establish agile standards, assess maturity, optimize backlogs and value streams, and use Azure DevOps metrics to support planning, transparency, and continuous improvement.

Diagnose and resolve complex customer issues involving HERE data, APIs, SDKs, and applications. Build AI-powered troubleshooting tools and automation, convert recurring problems into reusable workflows, experiment with Generative AI, and share engineering practices across Technical Support. Requires strong programming, REST API, cloud, distributed systems, troubleshooting, and customer communication skills.

Leads software engineering for complex product-data publishing applications, designing scalable full-stack solutions and distributed integrations. Responsibilities include mentoring developers, conducting code reviews, supporting production systems, resolving issues during on-call rotations, promoting continuous delivery, and collaborating with product, business, and architecture stakeholders. The role requires expertise in React, Java, TypeScript, REST APIs, event-driven systems, asynchronous workflows, AI agents, and DevOps practices.

Lead backend software engineering for high-scale customer order applications handling carts, pricing, freight, taxes, payments, and invoicing. Design and deliver maintainable distributed systems, support continuous delivery, troubleshoot production issues, mentor developers, conduct code reviews, lead knowledge sharing, and partner with product, architecture, and IT management stakeholders.

Design, build, test, deploy, and support scalable software for Grainger’s customer order platform, including cart, pricing, freight, tax, payment, and invoicing capabilities. Partner with engineers, architects, analysts, stakeholders, and product managers to deliver maintainable solutions. Implement CI/CD and engineering best practices, participate in Agile development, solve complex technical problems, and mentor junior engineers.

Owns the feature flagging and experimentation platform that enables safe code deployment, precise targeting, and measurement of product impact. Leads development of tools, SDKs, statistical engines, and scalable platform primitives for developers, data scientists, and product managers. Responsibilities include managing developer-facing infrastructure, experimentation frameworks, targeting logic, access controls, approval workflows, compliance guardrails, and cross-functional product strategy.

Lead development of scalable search-platform software focused on product-catalog relevance. Design lexical and semantic retrieval, hybrid ranking, reranking, and learning-to-rank systems; evaluate quality through offline metrics and online experiments. Partner with Data Science, Product, Analytics, and Architecture teams on embeddings, relevance measurement, and technical solutions. Maintain production systems, resolve issues, mentor engineers, conduct code reviews, and promote continuous delivery and engineering best practices.

Leads a regional Solutions Consulting team supporting customer acquisition, product adoption, revenue growth, and customer value. Responsibilities include coaching consultants, supporting presales activities such as proof-of-value presentations and RFPs, developing sales and delivery strategies, resolving escalations, providing observability thought leadership, and partnering with account executives and technical customer teams. The role requires deep SaaS and technical expertise, leadership experience, and strong customer-facing communication skills.

Lead DevOps strategy, cloud infrastructure architecture, Kubernetes operations, CI/CD optimization, Infrastructure-as-Code, monitoring, resilience, and incident management. Manage and mentor DevOps engineers while partnering with engineering, architecture, and product teams to improve automation, security, reliability, and operational maturity across AWS or GCP environments.

Build and manage automated workflows that improve business and technology productivity within a DevSecOps infrastructure team. Responsibilities include addressing complex technical problems, mentoring team members, maintaining high-quality project standards, supporting CI/CD and cloud infrastructure, automating deployment tasks, and developing client relationships. The role requires three years of technology experience and familiarity with cloud, containers, Linux, DevOps toolchains, monitoring platforms, and test automation.

Leads data architecture, data warehouse design, ETL development, and scalable analytics solutions using cloud and modern data technologies. Develops Python, SQL, and JavaScript code; optimizes distributed systems and CI/CD pipelines; troubleshoots production systems; evaluates emerging technologies and AI tooling; collaborates with technical and business stakeholders; and mentors junior engineers.

Leads enterprise architecture across client delivery, pre-sales engineering, and practice development. Responsibilities include architecting cloud, data, DevOps, security, and AI/ML solutions; leading discovery, technical scoping, estimation, proposals, and sales-to-delivery handoffs; managing architecture workstreams; establishing standards and governance; and mentoring architects. Requires extensive software engineering and architecture experience, consulting expertise, cloud proficiency, pre-sales leadership, and experience managing engineering teams.

Owns the backlog and day-to-day delivery for an Agile scrum team supporting Bank of America's enterprise Document AI program. Translates business objectives into requirements, user stories, and acceptance criteria; prioritizes work; accepts completed deliverables; manages stakeholders; removes blockers; and drives accountability and continuous improvement. Partners with product, technology, data, and AI teams to deliver scalable capabilities and business value.

Designs scalable, secure, resilient technology solutions aligned with business goals and enterprise standards. Creates architecture artifacts, evaluates platforms and integration patterns, guides implementation, leads architecture reviews, manages technical risks and debt, and partners with business, product, engineering, cybersecurity, and delivery teams. The role also supports technology roadmaps, modernization, cloud-native adoption, governance, innovation, and continuous improvement across complex enterprise environments.