Top Software Engineer Jobs

Design and lead the technical strategy for search across Vannevar’s products. Build and improve full-text, vector, and LLM-powered retrieval systems, optimizing latency, relevance, index quality, freshness, and performance. Collaborate with ML, product, design, and mission strategy teams to translate user needs into search innovations. Apply expertise in information retrieval, NLP, machine learning, indexing, ranking, query parsing, tokenization, vector search, and evaluation frameworks.

Own the performance, availability, backup, recovery, upgrades, observability, and scaling of high-throughput PostgreSQL clusters across on-premises and Amazon RDS environments. Responsibilities include query and index tuning, Patroni failover management, restore verification, migration reviews, automation, incident response, disaster recovery, documentation, and collaboration with Ruby and Java development teams.

Design, develop, and maintain high-performance C/C++ graphics code and HLSL shaders for NBA 2K. Implement rendering technologies, optimize GPU performance, improve VFX, lighting, and post-processing, collaborate with art and design teams, and support system-wide rendering technology upgrades.

Leads and develops a software engineering team through coaching, feedback, hiring, and career growth. Partners with product and engineering leadership on priorities, execution, architecture, and technical strategy. Reviews system designs, evaluates tradeoffs, supports code reviews, and drives improvements in scalability, reliability, performance, testing, and engineering processes. Works remotely with cross-functional leaders to deliver and maintain veterinary software products.

Design and scale highly available backend microservices processing global travel and expense transactions. Lead cross-functional technical initiatives, establish architecture and engineering standards, optimize APIs and event-driven systems, and ensure reliability through observability and production debugging. Mentor engineers, lead architecture reviews, and balance product delivery with long-term scalability and technical health.

Lead and scale software engineering teams building SaaS platforms. Set technical strategy, ensure best practices (architecture, CI/CD, security), drive delivery and KPIs, partner with Product and cross-functional leaders, and develop engineering talent while introducing AI/data capabilities to improve platform scalability, reliability, and business outcomes.

Performance Engineer Interns conduct quantitative research on exchange and network technologies, design optimization strategies for electronic trading, develop AI agents, ETL pipelines, and Python algorithms, and reverse-engineer and stress-test low-latency systems. They collaborate with traders and hardware and software engineers to improve liquidity-taking, quoting, and ultra-low-latency trading strategies.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Designs and leads development of scalable enterprise software, distributed systems, microservices, APIs, backend services, batch-processing systems, and data workflows. Provides technical leadership in architecture, integration, cloud development, security, performance, testing, deployment, and modernization. Collaborates with stakeholders and DevOps teams, participates in code reviews, supports production environments, troubleshoots issues, improves reliability, and mentors engineers across distributed teams.

Leads a full-stack engineering growth pod, owning its roadmap, delivery quality, team culture, hiring and career development. The manager remains hands-on by writing and reviewing code, shaping architecture, coaching engineers, and participating in technical decisions. The team rapidly experiments with product experiences, using data-driven insights to help people discover and understand Atticus services. The role partners closely with product, design, and data science while operating in an ambiguous, resource-constrained startup environment.