Top Tech Jobs & Startup Jobs

Design, build, and operate a secure Databricks- and cloud-based AI platform for cybersecurity use cases. Develop multi-agent workflows, governed data pipelines, security tool integrations, resilience patterns, AI guardrails, observability, evaluation systems, and reusable engineering standards. Partner with security, SOC, identity, cloud, governance, and architecture teams to automate detection, investigation, response, and threat hunting while ensuring privacy, compliance, and operational readiness.

Leads enterprise SIEM and detection engineering, architecting Microsoft Sentinel or Splunk platforms and operating Cribl telemetry pipelines. Designs detections across endpoint, network, identity, cloud, and application environments; improves ingestion quality, reduces false positives, monitors costs, and performs root-cause analysis. Builds dashboards and investigation assets aligned with MITRE ATT&CK, maintains documentation and governance, and mentors engineers and analysts on detection engineering, KQL, SPL, and Cribl practices.

Leads and scales a 50+ member India-based retail engineering organization supporting print, payment, POS-adjacent, merchandising, QA automation, and data operations. Responsibilities include technology strategy, legacy modernization, cloud-native architecture, delivery management, production resilience, stakeholder engagement, and AI-native engineering adoption. The role requires strong people leadership, retail systems expertise, cloud and automation experience, and oversight of distributed engineering teams and vendors.

Lead end-to-end AI research, development, evaluation, and production deployment for ecommerce search, retrieval, ranking, personalization, computer vision, and multimodal discovery. Build and optimize multimodal models and pipelines, establish evaluation and MLOps practices, and deliver GenAI and agentic systems. Provide technical leadership through architecture decisions, mentoring, research direction, and cross-functional collaboration while ensuring scalable, reliable, observable, and cost-efficient ML operations.

Lead the design, development, and deployment of AI and machine learning systems for promotion optimization, price elasticity, demand forecasting, and personalized recommendations. Build scalable forecasting models, causal-inference solutions, dynamic pricing systems, ML pipelines, APIs, and monitoring workflows. Collaborate with data engineering, product, marketing analytics, and cloud teams while ensuring secure, stable, and cost-effective production deployments.

Lead security analyst serving as a technical SME for Microsoft PKI, ADCS, Venafi, and DigiCert certificate lifecycle solutions. Responsibilities include maintaining certificate availability, supporting infrastructure upgrades and remediation, monitoring production environments, resolving PKI incidents and service requests, improving automation and scalability, and providing program and project updates. The role operates in rotating shifts and includes cross-skilling in CyberArk and IAM operations.

Serve as a technical SME for PKI and certificate lifecycle management solutions, including Microsoft ADCS, Venafi, and DigiCert. Monitor production and non-production infrastructure, prevent certificate expiration incidents, support upgrades and remediation, respond to incidents, fulfill certificate requests, and improve automation, stability, and scalability. Work rotating shifts and cross-skill in CyberArk and IAM operations.

Leads vulnerability management as a cybersecurity subject-matter expert, defining program strategy, risk-based prioritization, automation, and measurable maturity initiatives. Builds AI-assisted workflows, supports penetration testing, purple teaming, application security, vulnerability disclosure, and bug bounty programs. Evaluates security tools, establishes operational standards, mentors engineers, supports compliance evidence, and reports program health through risk-focused dashboards and metrics.

Designs, deploys, and maintains scalable cloud infrastructure using infrastructure as code, CI/CD, Kubernetes, and GitOps. Responsibilities include optimizing highly available Kubernetes platforms, implementing cloud security, monitoring Linux and Windows systems, troubleshooting infrastructure, collaborating with development and operations teams, and maintaining technical documentation.

Supports application health, observability, incident investigation, environment validation, runbook execution, operational automation, and DevOps delivery continuity. The role reviews alerts, dashboards, logs, traces, failed jobs, and deployment signals; improves monitoring and documentation; assists with deployment validation and troubleshooting; and supports security and compliance follow-up. Requires collaboration with QA, business support, development, infrastructure, and DevOps teams.