Top Tech Jobs & Startup Jobs

Leads infrastructure engineering across compute, storage, virtualization, containers, and hybrid cloud platforms. Designs, tests, codes, documents, and upgrades complex systems; automates workflows; improves recovery, reliability, observability, and security. Manages cloud security, secrets, key rotations, risk controls, and operational standards while resolving recurring issues and collaborating across technical and business teams.

Leads information security incident response, digital forensics, vulnerability remediation, risk assessment, security solution design, and production support. Provides CyberArk administration and troubleshooting across privileged access components, manages incidents and changes through ServiceNow, and supports high availability, compliance, audit readiness, and business continuity. Collaborates with security, infrastructure, and application teams while monitoring logs, resolving complex issues, and maintaining security platforms.

Leads the design, development, testing, optimization, and production support of low-latency, high-throughput Java trading applications. Responsibilities include electronic and algorithmic trading, exchange connectivity, real-time messaging, system monitoring, risk and compliance, troubleshooting, architecture enhancement, automated testing, and collaboration with traders, product managers, operations, and engineering teams. The role also mentors engineers and drives technical initiatives across exchange connectivity, algorithmic trading, and time-series systems.

Leads enterprise network engineering across global backbones, data centers, and edge locations. Implements secure network policies, maintains service availability, performs proactive testing, resolves capacity and reliability issues, and supports change management. Develops network automation and monitoring solutions, analyzes telemetry and traffic data, and collaborates across infrastructure teams. Mentors network operations staff and applies security, regulatory, lifecycle-management, and operational-excellence standards.

Leads systems operations and production support initiatives, designing reliable infrastructure and application monitoring solutions. Responsibilities include automation, cloud deployment, CI/CD, observability, incident and change management, application support, resiliency engineering, chaos testing, SLO measurement, troubleshooting, database operations, and platform availability. Partners with application teams to establish monitoring baselines, service objectives, self-healing patterns, and permanent incident remediation.

Leads infrastructure architecture and engineering across compute, storage, virtualization, containers, and hybrid cloud environments. Designs, codes, tests, documents, upgrades, and troubleshoots complex systems while improving recovery, reliability, observability, security, secrets management, and automation. Uses Kubernetes/OpenShift, Terraform, Ansible, scripting, GitOps, and CI/CD practices, while managing risk, controls, and long-term problem resolution.

Leads complex software engineering initiatives and develops scalable Java full-stack applications using Spring Boot and React or Angular. Defines architecture and engineering standards, builds RESTful and GraphQL APIs, integrates SQL and NoSQL databases, and supports cloud deployments, CI/CD, observability, and production operations. Mentors engineers through code reviews and technical direction while collaborating with product, UX, and QA teams in Agile/Scrum environments.

Leads operations and support for Apigee and IBM DataPower API gateway platforms. Responsibilities include incident management, root-cause analysis, deployments, upgrades, patching, performance tuning, certificate management, automation, infrastructure as code, monitoring, alerting, governance, and cross-functional coordination. Develops recovery tools, maintains operational documentation, supports high-severity incidents, and drives reliability, security, and platform modernization improvements.

Provide enterprise-wide technical leadership and strategic advisory support across Java platforms, AI/GenAI, cloud architecture, security, and data. Define technology strategies, reference architectures, and roadmaps; translate complex business needs into scalable solutions; guide responsible AI adoption from proof of concept to production; remain hands-on with design, reviews, coding, automation, testing, and performance optimization; and influence executives, engineers, regulators, and partners.

Principal Engineer responsible for shaping enterprise GenAI strategy and delivering innovative, large-scale solutions. Advises leadership, leads complex technical challenges, and provides expertise across GenAI architecture, agentic AI, model evaluation, governance, guardrails, cybersecurity, compliance, and production deployment. Requires deep knowledge of LLMs, RAG, vector databases, LLMOps, multi-agent systems, AI safety, and enterprise risk management.