Top Software Engineer Jobs

Owns day-to-day database operations and backup/recovery for a large multi-account AWS environment. Maintains RDS, Aurora, and self-managed databases, validates backup restoration, executes disaster-recovery runbooks, and collaborates with infrastructure, security, Kubernetes, networking, and cloud architecture teams. Supports escalations from a 24x7 monitoring team and helps advance managed services and Cloud Center of Excellence capabilities.

Build Python backend services and data-intensive systems supporting member identity, eligibility, billing, partner integrations, reporting, and analytics. Design APIs, asynchronous workflows, and data pipelines; validate, reconcile, retry, replay, and recover inconsistent external data. Improve production reliability, observability, testing, and performance while collaborating with Engineering, Product, and Operations. The role offers growth toward independent ownership of services and technical decisions.

Design, build, and maintain customer-facing products and backend systems for configurable workflows, automation, and clinic operations. Translate manual services into scalable software, develop reusable primitives, write tests, debug production issues, improve reliability, influence architecture, and mentor engineers. The role is backend-focused with full-stack responsibilities and close collaboration with product and operations.

Leads and manages software developers and architects while designing scalable applications using Azure, AWS, .NET, Java, and Node.js. Oversees Angular and React development, software architecture, code quality, security, documentation, project timelines, risks, and resources. Provides hands-on technical leadership, manages the full project lifecycle, drives continuous improvement, and mentors team members.

Build and improve full-stack features for a legal AI platform. Responsibilities include frontend and backend development, responsive interfaces, data models, APIs, integrations, data pipelines, testing, deployment, observability, debugging, and performance improvements. The engineer will work directly with users, own projects end to end, make architectural tradeoffs, and help shape product direction in an early-stage company.

Own developer productivity across a large monorepo and the path to production. Improve build, test, deployment, and coverage workflows; enable teams to ship safely and quickly; support multi-cloud and multi-region expansion; and strengthen operational excellence. The role requires delivering framework-level improvements across teams while contributing to backend feature code and working directly with customers on complex scaling challenges.

Leads the design, development, deployment, maintenance, and support of Salesforce and Agentforce solutions across commercial operations. Translates business requirements into scalable architectures, integrations, automations, and AI-enabled experiences. Oversees testing, security, governance, documentation, deployment readiness, incident resolution, platform health, and continuous improvement. Partners with architects, security, data governance, vendors, and business stakeholders while mentoring technical teams and establishing development standards.

Build and improve Antithesis’s reactive Notebook platform, including its JavaScript execution engine, frontend, data layer, APIs, and custom database. Own features end to end, collaborate with product managers on design and scope, create property-based tests and reliability workloads, and develop build and deployment logic using Nix. The role requires strong TypeScript and software engineering skills, with some Rust development and knowledge of web technologies, browsers, algorithms, and data structures.

Optimize software workloads across datacenter and agentic AI applications on RISC-V platforms. Responsibilities include profiling applications and runtimes, identifying bottlenecks, tuning compilers and runtimes, analyzing memory and concurrency behavior, leveraging vector, matrix, and custom ISA capabilities, and developing AI-assisted optimization workflows. The role collaborates across software, compiler, hardware, and performance modeling teams to improve throughput, latency, efficiency, and future CPU architecture.

Build Exoware’s production infrastructure from the ground up, including deployment, scaling, upgrades, recovery, CI/CD, monitoring, telemetry, security, and operational tooling. Design reliable systems across Kubernetes, ECS, cloud services, networking, and storage while writing software to automate operations. The role requires architectural ownership, production infrastructure experience, and the ability to improve the underlying distributed systems through production insights.