Top Hybrid Software Engineer Jobs

Design, develop, test, deploy, and maintain scalable Java and Python applications, RESTful APIs, and microservices. Manage API integrations, databases, performance optimization, security, cloud services, and ongoing application support. Collaborate with frontend, product, and QA teams to deliver secure, reliable capabilities supporting national security missions.

Software Engineering Interns join MongoDB product and technology teams for a 12-week summer internship. They collaborate with engineers, learn software development practices, and contribute production-level code to MongoDB products and services. Candidates should be pursuing a computer science or related degree, understand data structures, algorithms, and software design, and be proficient in an object-oriented programming language. Interns work 40 hours weekly in a hybrid office model.

Leads software and data engineering for large-scale public investment systems. Owns technical direction, architecture, delivery, code quality, security, reliability, APIs, React applications, Node.js services, dbt transformations, and Snowflake data platforms. Coaches and manages engineers, coordinates cross-team dependencies, manages technical risks, supports incident response, and partners with product, architecture, and business stakeholders. Requires public investments or asset management expertise, investment management system experience, and 8+ years of engineering experience.

Build a greenfield, low-latency algorithmic execution platform in C++. Responsibilities include developing FIX gateways, exchange market data feed handlers, venue connectivity, pre-trade risk controls, platform infrastructure, audit logging, and algorithmic strategy migration. The role requires optimizing critical paths for microsecond-level performance while integrating U.S. exchanges and dark venues. Future work includes multi-asset execution, research and backtesting, and international market expansion.

Build and maintain reproducible research infrastructure for evaluating digital-twin and large language model systems. Responsibilities include automating experiments, implementing deterministic measurement pipelines, managing versioned datasets and human-participant data, maintaining research-production alignment, monitoring evaluation validity and compute costs, and supporting documented coding workflows. The role requires strong Python, data pipeline, cloud, concurrency, machine learning, and software engineering skills, with preferred experience in LLM systems, model fine-tuning, inference serving, experiment tracking, and generative agents.

Build and evolve scalable, performant software services supporting production AI systems. Responsibilities include writing quality code, designing cloud-neutral microservices, optimizing and deploying AI models, contributing to architecture and design discussions, leading the software development lifecycle, mentoring engineers, and collaborating cross-functionally. The role requires expertise in Go or another major programming language, Python, DevOps technologies, cloud architecture, databases, and scalable service development.

Leads the design, development, and rollout of integrations and data pipelines for BrazeAI Decisioning Studio. Builds fault-tolerant, event-driven ingestion and activation systems across warehouses, APIs, file drops, and streaming sources. Owns production reliability, observability, incident resolution, multi-region compliance, and data residency. Partners with data science and product teams, mentors engineers, and establishes technical direction and engineering standards.

Leads an engineering team building Datadog’s Reference Tables platform, including its UI, MCP, APIs, control plane, metadata, permissions, validation, quotas, and lifecycle services. Defines technical direction and roadmap with product and engineering leaders, drives reliable large-scale distributed systems, establishes engineering practices, mentors engineers, and supports mission-critical infrastructure with 24x7 on-call operations.

Build and own end-to-end product features for Drata’s third-party risk management platform, including vendor-risk workflows, integrations, and AI-powered assessment experiences. Responsibilities include design, implementation, feature-flagged releases, documentation, UX, production monitoring, bug fixes, and technical debt. Partner closely with Product, exercise independent judgment, communicate clearly, mentor peers, and deliver reliable software using JavaScript/TypeScript, Node.js, NestJS, React, event-driven architecture, and durable workflow orchestration.

Contract Salesforce Technical Architect responsible for designing, developing, testing, deploying, and reviewing secure, scalable Apex-based solutions. The role includes Salesforce integrations, Lightning components, code reviews, technical design, implementation consultant support, client communication, documentation, and AI-assisted development. Candidates must ramp quickly, support active professional services engagements, and complete a structured handoff at the end of the contract.