Top Senior Software Engineer Jobs

Build and operate scalable observability platforms covering metrics, logs, traces, alerting, dashboards, and service health. Develop self-service tooling, improve incident detection and response, establish observability standards, and optimize reliability, performance, and cost across global cloud-native systems. Partner with engineering, infrastructure, SRE, security, and product teams while participating in design reviews, incident response, and post-incident learning. Mentor engineers and promote operational excellence.

Designs, develops, deploys, and supports enterprise web applications for mission-critical systems. Builds scalable Angular applications using TypeScript, contributes to architecture and system implementation, and provides operations and maintenance support. Collaborates with stakeholders to define requirements and user stories, troubleshoots complex client-side defects, and performs root-cause analysis. Works in Agile environments and may configure Azure DevOps and CI/CD pipelines while providing technical leadership.

Develop and lead software efforts for unique underwater systems supporting U.S. Navy and Department of Defense customers. Responsibilities include software architecture, requirements analysis, documentation, testing, qualification, system integration, technical presentations, hardware trade studies, offshore installation support, and mentorship. The role requires collaboration with engineering leads, program managers, and customers, along with occasional work outside normal hours.

Develop and deploy software applications, workflow automations, dashboards, scripts, integrations, and collaboration tools supporting Missile Defense Agency modeling and simulation. Use Microsoft Power Platform, SharePoint, AI-assisted development tools, and data visualization technologies to modernize engineering workflows. Translate stakeholder requirements into secure, maintainable solutions; participate in Agile development, documentation, demonstrations, and technical reviews. The role requires collaboration with engineers, analysts, product owners, and government mission stakeholders.

Work directly with small engineering teams across two or three portfolio software companies to accelerate development using AI coding tools. Responsibilities include shipping features, resolving production incidents, reviewing technical designs, automating manual processes, and supporting hiring. The role requires independent judgment, initiative, adaptability across multiple technology stacks, strong collaboration, and the ability to teach teams effective AI-assisted development practices.

Leads architecture, development, testing, debugging, profiling, and optimization of SDK power-management software for low-power ARM Cortex-M MCUs. Responsibilities include clock and memory management, low-power modes, RTOS ports, power modeling, system-level optimization, technical reviews, cross-functional issue resolution, and mentoring. The role requires hands-on embedded firmware development and technical leadership across hardware, software, validation, and vendor teams.

Integrate, deploy, and validate autonomy software across simulations, hardware-in-the-loop environments, and flight platforms. Configure sensors, interfaces, middleware, and platform adapters; develop integration tooling, deployment scripts, and CI/CD workflows; diagnose defects using logs, telemetry, and rosbag data; validate system requirements and interface contracts; and collaborate with engineering, product, DevOps, and customers to ensure reliable autonomous systems.

Leads software engineering within an agile infrastructure platform team, designing, developing, testing, debugging, and operating secure, scalable applications. Drives adoption of approved AI-assisted development tools, establishes validation and responsible-use standards, automates recurring remediation, and promotes operational stability. Evaluates vendor and internal architectural solutions while contributing across the software development lifecycle. Requires advanced programming experience, cloud-native expertise, security and resiliency knowledge, agile practices, and familiarity with financial services IT systems.

Leads the design, development, deployment, and support of secure, scalable Java and Spring Boot microservices and REST APIs. Provides technical leadership across the software development lifecycle, cloud-native AWS deployments, PostgreSQL data architecture, CI/CD, observability, resiliency, and production support. Establishes engineering standards for secure AI-assisted development, reviews code, mentors engineers, evaluates architecture, drives automation and modernization, and improves system reliability in a regulated environment.

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.

Lead the design, development, and rollout of large-scale integrations for BrazeAI Decisioning Studio. Build resilient data ingestion and event-driven activation pipelines across enterprise systems, supporting arbitrary schemas, multi-region deployment, compliance, and high-volume customer data. Own production systems, observability, incident response, and reliability. Partner with data scientists, ML engineers, and product managers, while mentoring engineers and setting technical direction.

Lead the design, development, rollout, and operation of Decisioning Studio integrations and distributed data pipelines. Build fault-tolerant ingestion and activation systems supporting batch, files, APIs, streaming, arbitrary schemas, multi-region deployment, compliance, and high-volume enterprise data. Own production reliability, observability, incident response, architecture decisions, and technical direction while collaborating with data science and product teams and mentoring engineers.

Lead the design, development, and operation of Decisioning Studio integrations and distributed data and activation pipelines. Build fault-tolerant, event-driven systems handling large-scale ingestion, arbitrary schemas, multi-region deployment, data residency, and PII. Own production reliability, observability, incident resolution, and technical direction while collaborating with data science, ML, and product teams. Mentor engineers and improve engineering quality, testing, and architecture.

Designs, develops, tests, deploys, and maintains scalable Java backend applications, APIs, and services. Responsibilities include software design, automated testing, secure coding, CI/CD automation, troubleshooting, performance optimization, observability, and operational readiness. The role participates in agile delivery, reviews code and designs, mentors engineers, collaborates with product stakeholders, and improves engineering processes and application reliability.

Design, build, deploy, and maintain software for commodity trade capture, lifecycle management, position management, pricing, risk, and reporting. Translate client and business requirements into reliable features, lead technical design, review code, maintain containerized services and deployment pipelines, improve observability and performance, troubleshoot production incidents, mentor engineers, and document solutions. The role requires strong Python development and energy commodities technology experience, with opportunities to work across multiple languages, cloud platforms, and event-driven systems.

Leads software engineering within an agile team, providing technical guidance and developing, reviewing, debugging, and operationalizing secure production code. Drives adoption and governance of AI-assisted engineering practices, validates AI outputs for security and performance, improves SDLC automation, influences product and application design, and serves as a firm-wide technical subject matter expert. Requires cloud-native experience, advanced programming skills, system design expertise, and independent problem-solving ability.

Develop full-stack software for an AI-enabled workforce onboarding and case-support platform. Responsibilities include building backend services, APIs, and frontend components; translating requirements into tested code; participating in code reviews and Scrum activities; troubleshooting defects and performance issues; and collaborating with product, design, and domain teams. Engineers may continue supporting the platform or transition to future MVP development initiatives.

Serve as a hands-on cloud architect for the Engineering Platform organization. Design AWS-based system architectures, build Terraform and application prototypes, establish reusable cloud-native patterns, and guide SaaS maturity, security, compliance, resilience, cost management, and AI workloads. Partner with engineering teams and AWS architects, improve self-service infrastructure and governance, document technical decisions, influence technical direction, mentor senior engineers, and lead cloud-native workshops.

Design, develop, and maintain large-scale data infrastructure and tooling, including test infrastructure, data frameworks, compute clusters, metadata catalogs, and governance systems. Partner with product managers and engineers across teams to achieve product goals. The role requires strong software development experience, proficiency in Java or Go, and expertise in distributed systems.

Design, develop, and deploy scalable cloud-native components and microservices for Cisco’s security platform. Collaborate with product and engineering teams on requirements, planning, system design, integrations, prototypes, and performance validation. Build event-driven services, manage infrastructure, contribute to resilient production systems, and mentor peers and interns. The role uses Go, Terraform, AWS serverless and container services, SQL and NoSQL databases, Kafka-based messaging, and AI/ML development tools.

Lead frontend feature releases and own user experience, performance, testing, and production health for a React and TypeScript dental practice management platform. Collaborate with backend engineers using Java Spring Boot, develop AI-powered interfaces, integrate AI tools such as Claude, participate in code reviews, improve team efficiency, and estimate development work for timely delivery.

Leads hands-on Java and Spring Boot engineering for alternative investment platforms. Designs, develops, tests, and operates secure cloud-native services on AWS, modernizes on-premises applications, and builds resilient messaging and event-streaming integrations. Provides technical guidance, reviews code, governs AI-assisted engineering practices, and establishes standards for secure, reliable, and observable software delivery.

Develops secure, scalable software solutions using Java, Python, AWS, Terraform, and Kafka. Designs complex applications, creates architecture artifacts, delivers end-to-end systems, and ensures testing and operational stability. Leads responsible adoption of AI-assisted development tools, validates AI outputs, improves automation and CI/CD practices, and analyzes data to enhance code quality and system architecture. Collaborates within agile teams supporting corporate technology functions.

Develop and maintain embedded Linux platform software and Yocto-based distributions for varied hardware targets. Build CI/CD pipelines with security and functionality automation, support secure networking, secure boot, OS updates, and Docker-based applications. Integrate NVIDIA drivers and GPU software stacks, collaborate with product teams on platform capabilities, and document software for regulatory approval. Serve as an operating system platform subject matter expert and mentor junior team members.

Designs, develops, tests, debugs, and troubleshoots custom software applications using .NET technologies. The role involves building web-based and client/server systems, following technical designs and software development lifecycle practices, and collaborating independently with engineering teams. The engineer may direct other software engineers and contribute to moderately complex projects. Automated material handling industry experience, at least seven years of .NET experience, a bachelor’s degree or equivalent experience, U.S. work authorization without sponsorship, and up to 15% travel are required.