Top Engineering Jobs

Designs, builds, and supports AWS data infrastructure, Salesforce solutions, integrations, and AI-enabled applications using Amazon Bedrock and IL Quick. Develops data pipelines, workflows, automations, and RAG solutions while applying security, governance, and compliance controls. Troubleshoots complex production issues, improves monitoring and runbooks, participates in incident response, and collaborates with technical and business teams to enhance reliability and engineering practices.

Leads cloud platform engineering and site reliability initiatives across AWS, GCP, and Azure. Designs reusable Terraform infrastructure, governed platform patterns, CI/CD integrations, and full-stack solutions for applications, data platforms, and AI services. Establishes SRE practices including SLOs, SLIs, error budgets, observability, incident response, and cost optimization. Partners with application, security, architecture, and business teams; mentors engineers, facilitates technical reviews, resolves operational issues, and drives standardization and process improvement.

Leads a cloud SRE shared-services organization supporting AWS application platforms. Responsibilities include managing and mentoring engineers, modernizing infrastructure, governing Terraform modules and AWS patterns, building self-service provisioning and Harness CI/CD automation, establishing SLOs and error budgets, resolving critical incidents, implementing observability, improving resiliency, and planning disaster recovery. The leader also drives GenAI adoption, stakeholder alignment, security, governance, cost optimization, and engineering best practices across technology teams.

Designs and develops APIs, integrations, and application services supporting New York Life’s digital life insurance purchase experience. Translates business needs into technical requirements, solution designs, API contracts, data mappings, and integration documentation. Collaborates with product, UX, architecture, engineering, business, and vendor teams; supports testing, troubleshooting, releases, monitoring, and continuous improvement. The role requires Java or MuleSoft development, enterprise integration expertise, Agile or SAFe experience, and strong technical communication.

As a Senior Technology Analyst, you'll analyze and design technology solutions to improve efficiency, collaborate with teams, and drive Agile delivery using tools like JIRA and Confluence.

Develop and maintain enterprise integrations and APIs using MuleSoft Anypoint Platform. Responsibilities include designing RAML specifications, implementing secure API patterns, integrating REST/SOAP services, databases, SaaS and legacy systems, developing DataWeave transformations, applying messaging and event-driven architectures, testing with MUnit, troubleshooting, managing API policies, supporting deployments, and participating in Agile ceremonies and code reviews.

Leads QA testing for CRM applications across complex cloud, distributed, mainframe, and integrated environments. Responsibilities include creating test strategies, plans, cases, data, automation frameworks, and defect documentation; conducting functional, regression, integration, API, performance, and UAT testing; managing defects; coordinating testing teams; monitoring metrics; supporting troubleshooting; and improving quality processes through automation and root cause analysis.

Develop, configure, customize, and deploy Unqork applications and integrations using .NET and C#. Translate business and architectural requirements into scalable, responsive solutions for agent onboarding and supervision. Perform full-stack development, SQL optimization, API development, testing, debugging, and production deployment. Collaborate in Agile ceremonies, refine backlogs, assess complex systems, recommend architectural improvements, and mentor junior developers while supporting application strategy and delivery.

Leads quality engineering and test automation across web, REST API, native iOS and Android applications. Designs scalable automation frameworks, integrates testing into CI/CD pipelines, executes functional and end-to-end testing, analyzes quality metrics and risks, and improves testing processes. Partners with Agile, development, product, and DevOps teams while mentoring colleagues and applying AI-enabled testing tools to improve coverage, efficiency, and software delivery quality.

Leads enterprise Quality Engineering strategy, governance, operating model, and automation-first transformation. Partners with technology and business leaders to improve release confidence, production stability, operational resilience, and delivery predictability. Builds and develops a high-performing quality organization, establishes engineering standards, and provides executive dashboards covering quality health, automation maturity, release readiness, and technology risk. The role drives modern testing, DevSecOps, CI/CD, cloud, API, performance, and security practices across the enterprise.