Technical Lead

Coforge is hiring a Technical Project Manager in Peru (hybrid: attendance 2–3 times weekly). The role requires at least 3 years of software development experience with Java and at least 3 years in project/ delivery/technical leadership roles. Key responsibilities include leading planning, execution and tracking of technology projects, managing risks and dependencies, communicating with internal and external stakeholders, mentoring engineering teams, promoting engineering best practices and quality standards, facilitating Agile/Scrum ceremonies, and coordinating cross-functional teams to ensure successful deliveries.

Lead and grow a team building Reddit’s Knowledge Graph Platform, setting technical direction and roadmap for data and API contracts, reliability, observability, and developer experience. Own production-grade operating standards (SLOs, data quality, governance), partner with engineering and domain experts (including computational linguists) to define ontology and data practices, and drive adoption of graph-powered capabilities. Requires 8+ years software engineering experience and 2+ years managing engineering teams.

Lead and develop a partner-facing technical services team responsible for triage and resolution of complex partner issues, drive operational improvements and scalable processes, coordinate cross-functionally with Engineering/Product/Customer Success, and provide product feedback to influence roadmaps. Requires 5+ years in technical support/services and 2+ years of technical leadership experience; based in Austin for a hybrid working model.

Lead a globally distributed Python backend team to design, develop, and maintain scalable services and RESTful APIs (JSON). Responsibilities include technical leadership, code reviews, debugging, performance optimization, CI/CD and cloud deployments. Required skills: strong Python 3.x, FastAPI/Django/Flask, SQL/NoSQL, API/integration development, Linux, Git, and experience with Kafka/RabbitMQ and cloud platforms (AWS/Azure/GCP).

Lead and develop an 8-person engineering team responsible for roadmap and execution of anomaly and signal detection systems that combine distributed systems and ML/LLM. Work closely with product and applied scientists to build and evaluate production ML/LLM systems at scale; the role is based in New York with a hybrid workplace. Reasonably estimated salary range for this role is $192,000–$240,000 USD per year.

Capital One seeks a Director of AI Engineering to own the design, development, and operation of the company's generative AI training platform: distributed training/fine-tuning, reinforcement learning workflows, GPU scheduling and utilization, and self-service experimentation environments. The role requires hands-on technical leadership, people management, capacity and cost governance for GPU fleets, and driving enterprise Responsible AI and governance practices.

Lead a team of full-stack data scientists responsible for client acquisition, retention, and reactivation across paid media, onboarding, site experiences, CRM, incentives, and reactivation. Role emphasizes experiment design and interpretation, predictive modeling, personalization, production deployment, cross-functional partnership, and developing a focused data science strategy. Requires 5+ years applying ML/experimentation and 2+ years managing technical teams. US-based salary range $200,000–$245,000 USD.

Lead engineering strategy and execution for Tide's KYX product covering onboarding (identity, access, due diligence), continuous KYX (ongoing reviews and team onboarding) and KYX Scoring & ML. Own model lifecycle, scale agentic AI in regulated workflows, and deliver measurable outcomes (higher automated decisioning, better due diligence quality, lower KYX cost). Lead distributed teams across Hyderabad, Delhi, Sofia, Belgrade, Bucharest and Vilnius and work with Ops, Policy, Second Line of Defence and Product across UK, EU and India.

Senior engineering leader accountable for KYX engineering strategy and execution across onboarding (identity, access, due diligence), continuous KYX (periodic/event-driven reviews), and KYX Scoring & ML (model lifecycle, monitoring, backtesting). Role leads backend, frontend, data science and ML engineering teams distributed across multiple countries, working with Ops, Policy, Second Line of Defence and Product in regulated environments to improve automated decisioning, due diligence quality and unit economics.

NVIDIA seeks a Manager, Solutions Architect to lead and prioritize OEM technical teams for NPI and end-to-end solutions. The role requires coordinating technical engagements, guiding integration of NVIDIA GPUs, networking and software stacks into OEM platforms, resolving partner issues, leading large-scale deployments, recruiting technical talent, and influencing OEM strategy. Requires 10+ years experience (including OEM/datacenter operations) and 5+ years managing a solutions architecture team.