Top Tech Jobs & Startup Jobs

Develop and enhance Java-based applications throughout the software development lifecycle. Analyze client requirements, design feasible systems, integrate external APIs, create client-driven features, debug applications, and recommend operational improvements. Collaborate with platform and development teams while using technologies including Hibernate, J2EE, web services, MySQL, JavaScript, JSF, JUnit, Maven, and PrimeFaces.

Develop backend-first full-stack software for Forge’s broker trading and operations platform. Responsibilities include integrating internal and external APIs, building distributed systems, implementing monitoring and high availability, reviewing code, collaborating with Product, Design, and Engineering, and supporting production operations. The role uses low-latency technologies, real-time event-driven architectures, caching, cloud platforms, CI/CD, and containerized microservices.

Forge is seeking a Software Engineer II to design and maintain web applications, develop APIs, and ensure system operations. The role requires collaboration and strong engineering skills.

The Software Engineer II will design, implement, and maintain web applications for marketplace middleware, ensuring high code quality and collaborating with stakeholders.

Lead development, testing, and technical design of highly available, scalable services. Conduct code and design reviews, translate product requirements into technical solutions, mentor engineers, contribute to architecture and team culture, and support large-scale migrations and technology modernization. The role involves distributed systems, microservices, cloud infrastructure, CI/CD, AI agent development, monitoring, and production operations.

Design, develop, test, and maintain scalable backend systems and microservices for financial technology platforms. Build APIs, distributed workflows, batch-processing systems, data integrations, and pipelines using relational, NoSQL, and warehouse technologies. Improve system resilience, security, observability, and reliability through fault-tolerance strategies, monitoring, troubleshooting, and root-cause analysis. Contribute to architecture, code reviews, testing, CI/CD, and production support while collaborating with cross-functional teams.

Develops and validates machine learning and statistical models for anti-money laundering, transaction monitoring, customer screening, and risk rating. The role evaluates AML data quality, integrates vendor solutions, maintains governance and regulatory documentation, leads model lifecycle quality control, and reports performance through management dashboards. It also supports AML risk assessments, audits, regulatory examinations, and cross-functional stakeholder coordination.

Support loan workout and bankruptcy functions for commercial lending: analyze account and financial data, negotiate renewals and workouts, restructure or recover charged-off loans, resolve title/collateral issues, ensure policy compliance, recommend resolutions, coach colleagues, provide training, and participate in process improvement and departmental projects.

Provide roaming branch support across multiple locations: open accounts, handle teller transactions, process service and credit requests, build customer relationships, make referrals to specialists, use digital tools, maintain compliance and risk controls, and travel within assigned geography. SAFE registration required; role includes Saturday schedules.

Support internal and external customers with complex financial-services inquiries and complaints. Investigate issues, process transactions, assess regulatory and legal risks, classify cases, and resolve disputed matters through negotiation or settlement. Escalate non-routine concerns, interpret legal documents, and maintain compliance with company requirements. The role follows a hybrid schedule in Tempe, Arizona, with occasional overtime and a weekday afternoon shift.

Own Deepgram’s brand strategy, narrative, verbal identity, positioning, architecture, naming, executive communications, and thought leadership. Write high-impact materials including keynotes, manifestos, launch narratives, and web copy. Lead and develop a writing team, raise creative quality, establish brand guidelines, and partner with design, product, communications, legal, and other teams. Apply AI tools to writing and creative development in a remote-first, rapidly changing environment.

Own Deepgram’s strategic AWS partnership, including technical adoption, retention, expansion, Marketplace listings, private offers, co-selling, and joint GTM. Serve as AWS’s trusted technical and commercial advisor, lead demos, workshops, architecture guidance, troubleshooting, business reviews, and joint planning. Track usage and growth, influence internal product and GTM strategy, and build AI-powered tools and workflows that eliminate recurring work.

Leads Capital One’s enterprise AI learning and enablement strategy, developing workforce-readiness roadmaps, technology adoption programs, and scalable change initiatives. Partners with technology, strategy, and HR leaders to increase AI fluency, operational tool adoption, and measurable behavior change. Translates advanced AI concepts into practical enablement tools, manages complex cross-functional programs, influences executives, oversees vendors, and uses analytics to prioritize learning investments and demonstrate ROI.

Lead diverse technology projects and mentor software developers while building robust cloud-based backend solutions. Collaborate with product managers, develop distributed microservices and full-stack systems, address regulatory needs, and use modern programming languages, databases, container orchestration, and cloud technologies. The role also involves evaluating code, promoting engineering best practices, staying current with technology trends, and supporting major digital transformation initiatives.

Oversee relationships between consumer business teams and federal banking regulators. Advise senior leaders on regulatory developments, identify and monitor risks, coordinate responses to regulatory inquiries and examinations, establish governance workflows, review submissions, and synthesize regulatory information into executive reporting. The role requires strong stakeholder management, project coordination, communication, consumer credit knowledge, and understanding of banking regulations and risk management.

Own the full mid-market sales cycle for Zapier’s AI-powered automation platform, including prospecting, discovery, negotiation, closing, and expansion. Build relationships from practitioners to executives, develop business cases around automation, and navigate complex deals with Solutions Engineering, Customer Success, and Product. The role also involves attending events, generating pipeline independently, and helping establish Zapier’s mid-market go-to-market motion.

Lead a GTM Analytics team supporting Marketing, Sales, RevOps, and Customer Operations. Manage embedded analysts, establish trusted reporting and QA processes, review SQL and dashboards, guide funnel, campaign, sales, support, forecasting, segmentation, attribution, and experimentation analysis, and deliver executive recommendations. Partner with GTM leaders and data engineers, coach analysts, and develop self-service analytics, automation, governed dashboards, metric documentation, and AI-assisted workflows.

Lead Zapiers security strategy for an AI-native SaaS platform. Own App and Infrastructure Security, Detection & Response, GRC, risk management, incident response, bug bounty triage, and enterprise security enablement. Partner with Product, Engineering, Legal, and GTM to embed secure-by-default design, shape AI-specific controls, support enterprise deals, and build a high-performing security engineering organization.

Owns end-to-end global payroll across 20+ countries, including pay-run approval, US multi-state payroll, compliance, controls, vendor management, country expansion, and payroll technology modernization. Leads a distributed payroll team, manages third-party providers, partners with Finance, HR, Legal, and Total Rewards, supports M&A and restructuring, and develops AI-driven automation for reconciliations, anomaly detection, and scalable payroll operations.

The Operational Risk Manager will oversee resilience assurance, crisis management, and operational risk policies, coordinating management reviews and ensuring compliance with regulations while leveraging automation for efficiency.

Leads the technical vision and architecture for Remitly’s Core Transfer Experience organization. Responsibilities include modernizing high-traffic distributed systems, defining service and experience-layer boundaries, improving reliability and operational excellence, enabling AI-native experiences, guiding incremental migrations, setting technical strategy across teams, mentoring senior engineers, and contributing hands-on code and system analysis across backend, mobile, and web platforms.

Source and engage passive candidates for complex, hard-to-fill roles. Build talent pipelines using recruiting platforms, research, employee networks, events, and creative outreach. Develop sourcing strategies, map talent markets, analyze messaging, track search progress, and collaborate closely with recruiters and stakeholders. The role requires managing multiple searches independently while promoting diversity and effectively converting passive prospects into candidates.

Prospect, qualify, and generate leads through outbound outreach (cold calls/emails), schedule discovery meetings, and collaborate cross-functionally to help customers evaluate Datadog and drive new business.

Source and engage passive candidates for complex, high-volume recruiting needs. Build candidate pipelines using sourcing tools, employee networks, events, and creative research. Develop strategic sourcing plans, map talent markets, track search progress, analyze messaging, and collaborate with recruiters and stakeholders to attract diverse talent.

Develop and deploy AI and machine learning solutions, analyze complex enterprise datasets, build predictive and optimization models, conduct statistical experiments, and translate findings into business recommendations. The role includes applying deep learning, NLP, generative AI, and ethical AI practices; creating scalable decision-support frameworks; evaluating emerging technologies; collaborating across teams; and mentoring junior data scientists and analysts.

Lead release engineering for Java applications on Azure, designing CI/CD pipelines with GitHub Actions and Azure DevOps. Manage Azure infrastructure using Terraform, including AKS, networking, storage, identity, and monitoring. Build AI agents and automation for release engineering, incident triage, and operational workflows. Implement blue/green, canary, and rolling deployments; troubleshoot application, pipeline, infrastructure, and automation issues; and collaborate with development, SRE, security, and platform teams on governance, reliability, and reusable automation.

Provides cybersecurity advisory and engineering support for healthcare operations and acquired entities. Responsibilities include risk assessments, vulnerability management, incident response coordination, remediation, security control implementation, enterprise security tool administration, compliance tracking, and integration support. The role also develops AI-powered security automations, uses approved AI tools to improve workflows and threat detection, and collaborates with IT, infrastructure, application, compliance, and security teams.