Top Software Engineer Jobs

Build and optimize scalable frontend applications for Seekr’s AI platform using React and Next.js. Collaborate with ML, backend, DevOps, QA, and Product Design teams to rapidly deliver performant web features. Contribute to technical direction, automated testing, API integration, deployments, and continuous improvement of frontend architecture and user experiences.

Build enterprise Angular applications for conversational AI, agent workflows, dashboards, and real-time monitoring. Integrate APIs, LLMs, RAG, tool calling, streaming responses, and human-approval workflows. Develop reusable components, manage application state, ensure accessibility, security, performance, and cross-browser compatibility, and write unit and end-to-end tests. Collaborate with product, UX, backend, and AI teams while contributing to technical design, code reviews, and mentoring.

Build scalable AI capabilities for Fidelity Wealth, partnering with business, product, architecture, data, and platform teams. Develop secure, reliable, production-ready solutions; apply modern software architecture, cloud platforms, testing, and design patterns; lead technical discussions; mentor engineers; and deliver end-to-end full-stack systems.

Leads forward-deployed engineering teams delivering enterprise migrations to Snowflake while developing AI-powered migration tools. Responsibilities include people management, customer delivery, project oversight, technical escalation, product and engineering roadmap development, migration strategy, hiring, cross-functional collaboration, proposal scoping, and executive presentations. The role requires deep expertise in databases, cloud platforms, data integration, analytics stacks, SQL, scripting, and enterprise software delivery.

Develop and deliver native iOS features for MyFitnessPal’s Cal AI food-logging experience. Responsibilities include building interfaces in Swift, optimizing UI, storage, and network performance, implementing tests, researching technical solutions, collaborating with product and design teams, promoting engineering best practices, and mentoring junior developers.

Manages multiple IT and data engineering teams, overseeing staffing, performance, priorities, delivery, metrics, and stakeholder communication. Leads the design, development, and delivery of Databricks-based data platform components using Raw, Refined, and Presentation medallion architecture layers. Applies AI and machine learning within data engineering, ensures operational standards, coaches employees, and balances immediate delivery needs with long-term engineering objectives.

A 12-month graduate program with two rotations developing software solutions across big data, AI, SRE, DevOps, cloud, and security engineering. Responsibilities include writing specifications, coding, code reviews, bug fixes, test-driven development, requirements analysis, troubleshooting, data modeling, and collaboration with stakeholders. Participants receive mentorship, training, and experience with AWS and Azure. Applicants must complete a computer science-related bachelor’s degree between May and December 2026.

Develop and maintain enterprise-scale platform services for Honeywell Forge and Cognition. Build containerized microservices, APIs, event-driven systems, database integrations, and Kubernetes deployments across multi-cloud and edge environments. Own features through design, implementation, testing, deployment, troubleshooting, and production readiness. Collaborate with architects, SRE, cybersecurity, QA, product, and engineering teams while supporting secure, scalable, and restricted-connectivity deployments.

Develop and maintain enterprise-scale full-stack platform services, APIs, microservices, distributed systems, and containerized deployments for Honeywell Forge and Cognition. Responsibilities include event-driven development, database and messaging integration, multi-cloud and edge deployment, Kubernetes operations, automated testing, security, observability, troubleshooting, and production readiness. The engineer owns features from design through deployment and collaborates with architecture, SRE, cybersecurity, QA, product, and engineering teams.

Develop and maintain enterprise-scale full-stack and platform services for Honeywell Forge and Cognition. Responsibilities include designing containerized microservices, REST APIs, event-driven services, distributed systems, cloud and edge deployments, database integrations, Kubernetes services, automated testing, observability, troubleshooting, and secure software delivery across multi-cloud and restricted-connectivity environments.

Develop and maintain enterprise-scale full-stack and platform services for Honeywell Forge and Cognition. Responsibilities include building containerized microservices, REST APIs, event-driven services, distributed systems, cloud and edge deployments, database integrations, automated testing, CI/CD, observability, troubleshooting, and secure software for Kubernetes, multi-cloud, restricted-connectivity, and air-gapped environments. Collaborate with architects, SRE, cybersecurity, QA, product, and engineering teams while owning features from design through production readiness.

Own and develop an AI platform using Python, FastAPI, Amazon Bedrock, React, TypeScript, and AWS serverless services. Provide architectural ownership across .NET case management and video systems, modernize legacy platforms, establish engineering standards, oversee security and CI/CD, guide integrations, and coach engineers. The role combines hands-on production coding with technical leadership, architecture reviews, cloud infrastructure ownership, and cross-platform modernization.

Leads development of scalable full-stack applications using Java, Angular, microservices, and event-driven architectures. Integrates and deploys agentic AI, GenAI, and LLM-enabled systems for M&A use cases in a regulated enterprise environment. Responsibilities include architecture, coding, testing, CI/CD, security, operational support, environment readiness, risk management, mentoring, code reviews, and stakeholder collaboration.

Leads architecture, development, and deployment of agentic workflows for banking use cases. Integrates agents with core banking systems, databases, microservices, and event streams. Establishes security controls, mentors engineers, conducts code and architecture reviews, assesses risks, and contributes to enterprise agent blueprints and reusable components.

Open application for future opportunities at a growing AI company, primarily across software development and sales. Potential technology roles include Clojure development, machine learning engineering, data engineering, DevOps, security engineering, and product design. Commercial opportunities include account executive and customer success positions. The company offers flexible work arrangements, professional growth, AI and deep learning exposure, competitive compensation, benefits, and six weeks of holiday.

Leads full-stack application development for BNY’s AI Hub Engineering team. Responsibilities include designing, developing, testing, integrating, securing, modernizing, and maintaining scalable front-end and back-end systems. The role advises business and IT leaders, resolves complex technical issues, supports enterprise technology strategies, conducts code reviews, mentors engineers, manages technical debt, and presents technology solutions to stakeholders.

Build and maintain premium mobile features, subscription and in-app purchase flows, paywalls, pricing experiences, and advertising functionality for Life360’s consumer app. Own feature quality, performance, reliability, experimentation, and incident response at 100M+ user scale. Collaborate with product, design, data science, and analytics teams; use AI coding agents extensively; contribute to architecture and code reviews; mentor engineers; and help evolve AI-native engineering practices.

Build challenging AI coding tasks from familiar repositories, including task briefs, correct solutions, grading checks, stress tests, and model evaluations. Revise tasks through quality review and produce work suitable for training and assessing AI coding models. Requires at least 10 hours weekly and strong software engineering, testing, repository, and AI coding tool experience.

Evaluates AI coding-agent interactions for technical quality, engineering judgment, reasoning, explanations, and user trust. Provides detailed written and recorded feedback, distinguishes response quality levels, and helps define standards for tools such as Codex, Claude Code, and Cursor. This remote contract requires strong TypeScript, JavaScript, or Python experience, familiarity with AI-assisted development workflows, and senior-level engineering judgment.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, response quality, reasoning, explanations, and usefulness. Provide clear written and recorded feedback, distinguish quality levels, and help define standards for excellent AI-assisted development interactions. This contract role requires senior-level software engineering experience, strong Python or TypeScript/JavaScript skills, familiarity with modern AI development workflows, and excellent English communication.

Design, develop, test, document, troubleshoot, and debug complex software for semiconductor equipment components and devices. Define software specifications and test plans for simulators, test benches, and laboratory environments. Analyze requirements, implement bug fixes, communicate with internal and external customers, and contribute to machine learning and AI-driven software solutions.

Leads development of secure, scalable payment applications using Java, Spring Boot, microservices, AWS, Terraform, and CloudFormation. Designs, codes, tests, debugs, and reviews production software; improves resiliency, automation, and operational stability. Drives responsible adoption of AI-assisted engineering tools, evaluates technical solutions with vendors and internal teams, and mentors software engineers within an agile environment.

Leads the architecture and delivery of large-scale ETL/ELT pipelines, data lakes, distributed Spark workloads, and Java-based services. Designs data quality, governance, lineage, observability, security, and performance-tuning practices. Develops REST APIs and integration components, promotes AI-assisted engineering practices, and drives technical delivery across cross-functional teams. Requires deep Java, Python, big data, Spark, data lake, warehouse, and software engineering expertise, with preferred experience in orchestration, streaming, ACID table formats, production operations, and regulated environments.

Design and implement backend and systems-level software for defense and intelligence applications. Integrate machine learning and signal-processing algorithms into real-time systems, transition models into field-ready applications, collaborate with domain experts, and build extensible software solutions for complex customer requirements.

Develop and transition advanced OPIR data-processing algorithms for infrared sensing and space-based missile warning systems. Responsibilities include evaluating processing pipelines, troubleshooting anomalies, supporting technical documentation and transition plans, and collaborating with government, intelligence, research, and industry partners. The role requires expertise in EO/IR signal processing, infrared phenomenology, OPIR data formats, Python development, and AI/ML applications.