Top Senior Software Engineer Jobs

Develop and maintain full-stack web applications, workflow automation, dataflows, and analytic tools supporting intelligence operations. Collaborate with analysts, operators, developers, and customers to identify inefficiencies, iteratively deliver solutions through CI/CD, gather feedback, and improve mission workflows. Work in Linux environments with relational databases and potentially JavaScript, Python, Svelte, observability tools, open-source platforms, and cryptography.

Design and implement complex backend and systems-level software for defense and intelligence applications. Integrate machine learning and signal-processing algorithms, transition models into real-time field systems, architect and integrate software systems, prototype algorithms, and translate customer requirements into extensible solutions.

Design, develop, and deploy scalable web applications and services. Lead architecture discussions, own projects, and deliver high-quality software. Develop Java and Spring microservices using Python and CI/CD, work with SQL and NoSQL databases, and use AWS and Google Cloud services. Collaborate with security and compliance teams, participate in Agile development, and contribute to engineering tools, cloud technologies, testing, code reviews, maintenance, and cross-functional initiatives.

Develop and maintain advanced iOS applications using Swift, UIKit, and SwiftUI. Build features, conduct A/B tests, manage application state, modularize functionality, write automated tests, monitor analytics and performance, review architecture and code, and troubleshoot production issues. Collaborate with engineering, product, design, platform services, and release management teams to deliver high-quality mobile experiences.

Build and maintain high-quality backend software for a SaaS third-party risk management platform. Own loosely defined features from technical design through delivery, develop and optimize REST APIs, work with Python frameworks, cloud infrastructure, CI/CD pipelines, and container technologies, and contribute to continuous engineering improvements. Preferred work includes coding agents, database modeling, big data systems, search technologies, and AI-assisted development tools.

Build and scale the platform powering Wayve’s data flywheel and foundation-model stack. Responsibilities include developing large-scale data curation, enrichment, evaluation, training, and serving infrastructure; implementing distributed processing, vector search, lakehouse, dataset versioning, and annotation systems; and transforming manual workflows into reliable self-service products. The role requires production ownership, observability, testing, on-call support, and close collaboration with Applied Scientists and ML Engineers.

Own the end-to-end design and delivery of internal applications, backend services, integrations, AI agents, workflows, and enterprise knowledge infrastructure. Partner with business stakeholders and technical leadership on architecture, production deployment, cloud infrastructure, observability, and reliability. Build LLM-based applications using agent frameworks, MCP, tool calling, retrieval systems, vector stores, and knowledge graphs. Operate with high autonomy while creating durable, reusable technical patterns.

Lead development and testing of a scalable, geo-distributed database solution. Responsibilities include optimizing performance, concurrency, replication, sharding, data storage, networking, failure recovery, high availability, and consistency algorithms. The role involves troubleshooting distributed systems, profiling Java applications, collaborating globally, reviewing code, contributing to open source, and managing Software Engineers.

Develop and maintain web applications, workflow automation, and dataflow solutions supporting intelligence operations. Collaborate with analysts, operators, developers, and customers to identify inefficiencies, iteratively deliver solutions through CI/CD, and incorporate real-time feedback. The role requires full-stack web development, relational database experience, Linux development, cross-domain solutions, customer communication, and familiarity with Atlassian tools and AI-assisted development.

Designs, develops, tests, deploys, and supports cloud-based backend services, REST APIs, and connected-device platform components. Owns moderately complex features through production, troubleshoots distributed systems, improves reliability and observability, and contributes to architecture. Collaborates across product, QA, operations, firmware, mobile, and engineering teams while participating in code reviews, mentoring, incident response, and technical improvements.

Designs and leads scalable Python software systems supporting U.S. Government missions. Responsibilities include architecture, distributed systems, cloud-native Kubernetes deployments, CI/CD automation, observability, reliability, troubleshooting, testing, and operational excellence. The role provides technical leadership and mentorship while collaborating with engineers and mission stakeholders. Candidates must hold an active TS/SCI clearance and bring extensive production software engineering experience, cloud expertise, and strong system integration skills.

Designs, develops, tests, debugs, and maintains scalable software and architectures supporting secure government and defense systems. The role involves modernizing software, analyzing requirements, collaborating with software, systems, cyber, test, hardware, and architecture teams, applying engineering best practices, and supporting customer installations, upgrades, and maintenance. Work includes DevSecOps, Agile development, cross-domain solutions, Linux-based applications, and compliance with stringent security requirements.

Build and maintain scalable full-stack healthcare software in collaboration with clinicians, operators, and product managers. Own solutions from understanding business problems through delivery and measurement, make independent technical and product decisions, incorporate AI agents, and improve development practices through testing and documentation. The role involves developing and refactoring complex distributed systems while connecting engineering work to user and business outcomes.

Build production-grade Java software and AI-enabled systems. Design backend services integrating LLMs through external APIs, develop observability for long-running AI jobs, evaluate human- and AI-generated code, and create automated testing and quality tools. The role also involves designing structured prompts, consuming REST APIs, working with AWS services, maintaining CI/CD pipelines, creating Docker images, and collaborating in a monorepo environment.

Own the full software lifecycle for Linux-based applications across on-premises and AWS environments. Lead modernization of legacy systems, develop across Python/Django and PHP/Laravel stacks, manage cloud infrastructure, design integrations, and support data exchange. Provide technical leadership through architecture, code reviews, DevOps, testing, observability, security, troubleshooting, and KPI ownership while collaborating with stakeholders, customers, and partners.

Develop UI software for specialized communications products, collaborating across hardware, RF, software, and FPGA teams. Responsibilities include requirements analysis, design, coding, model training and evaluation, documentation, hardware interaction, debugging, testing, and validation. The role requires embedded software expertise, high-quality development practices, adaptability, and communication across engineering disciplines. Products support government and private-sector applications.

Lead end-to-end design and delivery of complex product features, building polished React and TypeScript interfaces for insurance workflows. Improve performance, accessibility, and user experience through feedback and metrics. Collaborate across the stack, solve technical bottlenecks, own outcomes independently, and mentor other engineers.

Leads architecture, design, and hands-on development for scalable backend APIs and interoperability services. Sets engineering standards, drives cross-team technical initiatives, mentors engineers, reviews code and designs, manages technical risks, and partners with engineering leadership on roadmaps. The role focuses on distributed systems, authentication, cloud SaaS, API integrations, and standards such as FHIR, while contributing production code and fostering collaboration.

Develop and lead scalable enterprise applications for the Tech 360 technology reporting platform. Responsibilities include building REST APIs, web applications, ETL solutions, databases, microservices, and cloud-native systems; implementing Kubernetes, container, and CI/CD solutions; defining integrations and access controls; mentoring engineers; and supporting Agile delivery, security, risk, and regulatory standards.

Leads development of the Tech 360 enterprise reporting platform. Designs scalable applications, REST APIs, web applications, ETL solutions, databases, microservices, cloud-native deployments, and CI/CD pipelines. Partners with architecture and security teams on integrations and access controls, mentors engineers, and contributes to Agile delivery. The role also supports executive reporting, data visualization, risk controls, regulatory standards, and engineering best practices.

Build and maintain Gravitee’s API management and AI gateway platform across Java backend services, gateway runtime, management APIs, and TypeScript/Angular interfaces. Develop API security, policies, observability views, data models, automated tests, and production-ready features. Support customer escalations through L3/L4 pager duty, collaborate across international teams, and apply AI-assisted development practices. The role requires full-stack ownership from technical design through release and iteration.

Provides hands-on technical leadership across architecture, infrastructure, backend services, APIs, ML systems, and product development. Partners with the CTO on technical direction, leads design and code reviews, mentors engineers, improves reliability and scalability, and works with customers to translate requirements into solutions. The role requires substantial production software engineering experience, cloud infrastructure expertise, and the ability to guide a growing engineering team without direct management responsibility.

Architect and operate large-scale data pipelines that power startup, people, and investment intelligence. Own data quality, discover new data sources, and advance extraction and reconciliation through LLM-powered agentic workflows and evaluations. Work across backend systems, databases, search indices, and GraphQL APIs to deliver customer-facing data products and features, collaborating with GTM, Product, and Design.

Build and improve Harmonic’s frontend platform for reliability, performance, scalability, and developer productivity. Responsibilities include resolving production issues, optimizing large-data rendering and bundles, implementing monitoring and observability, establishing testing strategies, creating reusable abstractions, driving technical migrations, making architecture decisions, and mentoring engineers.

Build and own customer-facing full-stack features end to end, with an emphasis on backend systems, data pipelines, scalability, performance, and observability. Collaborate with Design, Product, and GTM to ship, measure, and iteratively improve products. The role involves developing startup intelligence, deal management, or ecosystem integrations while balancing technical, product, and organizational tradeoffs.