Top Tech Jobs & Startup Jobs

Designs, develops, deploys, operates, and optimizes enterprise integrations using the MuleSoft Anypoint Platform. Responsibilities include API design, DataWeave flow development, deployment, observability, API security, troubleshooting, documentation, and CI/CD. The engineer partners with architects, application teams, and business stakeholders, integrates SaaS platforms and event-driven systems, participates in code and design reviews, and mentors junior engineers.

Architects, deploys, and operates large-scale Apache Kafka and Confluent environments for mission-critical streaming workloads. Owns cluster sizing, configuration, security, automation, observability, high availability, disaster recovery, and developer enablement. Partners with application and cross-functional teams to build reliable streaming solutions, troubleshoot production issues, conduct design and code reviews, document systems, and mentor junior engineers.

Designs and improves test automation frameworks, writes production-quality test code, and embeds quality engineering throughout the software development lifecycle. Responsibilities include unit, integration, end-to-end, performance, security, API, and database testing across distributed systems. The role partners with cross-functional teams, translates requirements into solutions, conducts code and design reviews, mentors junior engineers, and supports CI/CD automation in Agile/Scrum environments.

Build low-latency trading, risk, and analytics systems for fintech applications. Translate quantitative models into production software, collaborate with quants and traders, implement market data and FIX systems, optimize performance and concurrency, and contribute to code reviews, design reviews, debugging, documentation, and mentoring.

Design and optimize high-performance CUDA kernels, GPU libraries, and ML operators for AI and high-performance computing workloads. Profile GPU code, tune memory and execution efficiency, optimize distributed multi-GPU training with NCCL and RDMA, and integrate custom kernels into PyTorch, JAX, or Triton. Develop benchmarks, regression tests, compiler-level optimizations, mixed-precision paths, and technical documentation while mentoring engineers and evaluating new GPU architectures.

Profile and optimize AI training and inference pipelines for throughput, latency, memory, and cost. Implement model compression, distributed training, parallelism, attention, KV-cache, batching, decoding, and compiler optimizations. Build benchmarking and regression frameworks, optimize data pipelines, evaluate hardware and software, and collaborate with ML and platform engineering teams to improve production performance.

Designs and governs large-scale microservices ecosystems, including service boundaries, domain-driven architecture, distributed data patterns, APIs, messaging, resilience, observability, security, and cloud-native platforms. Leads monolith modernization, performance and scalability engineering, CI/CD standards, architecture reviews, and cross-team initiatives. Mentors engineers and evaluates emerging technologies while ensuring maintainable, independently deployable services.

Design and lead high-scale distributed software systems, make enterprise architectural decisions, drive cross-team technical initiatives, optimize performance and costs, improve reliability, mentor senior engineers, and shape engineering culture. The role requires advanced backend programming expertise, strong communication, and leadership across multiple business units.

Architects and develops end-to-end industrial IoT solutions across edge devices, industrial protocols, cloud platforms, and enterprise systems. Builds secure data pipelines, real-time analytics, predictive maintenance models, dashboards, alerts, and device-management capabilities. Integrates OT and IT environments while following industrial cybersecurity standards. Collaborates with engineering and reliability teams, maintains technical documentation, evaluates emerging technologies, and mentors engineers.

Designs semiconductor software tooling, firmware, drivers, BSPs, EDA infrastructure, validation systems, data pipelines, and hardware bring-up diagnostics. The role optimizes scalable compute-intensive workflows, partners with hardware engineers, leads architecture and code reviews, documents systems, mentors engineers, and evaluates emerging hardware platforms and toolchains.