Senior Software Developer
Role details
Job location
Tech stack
Job description
The Senior Software Developer is a hands-on technical contributor responsible for designing, building, modernizing, migrating, deploying, and maintaining high-quality software solutions across client and internal initiatives. This role balances strong software engineering fundamentals with practical Google Cloud Platform experience, including application modernization, cloud migration support, cloud-native delivery, and modern DevOps practices. Success requires depth in at least one primary programming language, strong application design and testing discipline, and the ability to deliver reliable applications and services that operate effectively in cloud environments. Senior Developers are expected to operate with a high degree of autonomy, contribute to architectural and technical decisions, mentor less-Senior engineers, and actively improve delivery, reliability, and operational excellence across teams.
*Top 3 Hiring Priorities *
- Strong software engineering fundamentals and depth in a primary language (e.g., Java, Python, C#, JavaScript/TypeScript), demonstrated through clean design, maintainable code, testability, API development, performance awareness, and sound technical trade-offs.
- Practical GCP migration and modernization experience, including assessing existing applications, supporting migration planning, adapting workloads for Google Cloud, and helping teams move from legacy or on-premises environments to cloud-ready architectures.
- Balanced delivery across application development and DevOps practices, including CI/CD, automated testing, Infrastructure as Code with Terraform, containers, Kubernetes/GKE, and operational practices that support reliable production software. Core Responsibilities *Design, implement, test, and maintain production-grade software systems aligned with business and technical requirements. *Build and enhance applications, APIs, services, integrations, and data access layers with attention to clean architecture, maintainability, security, performance, and cloud readiness. *Contribute across the full software development lifecycle, including analysis, design, estimation, development, testing, deployment, and support. *Support GCP migration and application modernization efforts by analyzing existing systems, identifying refactoring needs, adapting services for cloud deployment, and validating migrated workloads. *Collaborate with DevOps, platform, and cloud migration teams to improve CI/CD, deployment automation, infrastructure-enabled delivery, and repeatable migration patterns using tools such as Terraform, containers, and Kubernetes/GKE. *Actively participate in code reviews, architecture discussions, and technical decision-making, providing clear rationale and trade-off analysis. *Mentor junior and mid-level developers through code reviews, pairing, and technical guidance. *Contribute to continuous improvement of engineering practices, including automation, cloud readiness, operational maturity, and supportability.
Requirements
*Very strong expertise in at least one primary programming language, such as: oJava, C#, Python, JavaScript/TypeScript, or equivalent *Demonstrated ability to design clean, maintainable, well tested codebases, including strong familiarity with automated testing (unit/integration) and ownership of component level test strategy for the systems they build and support. *Strong understanding of software engineering fundamentals, including: oData structures and algorithms oAPI design and integration oModular and layered architectures oObject-oriented, functional, and service-oriented design patterns oPerformance and scalability considerations oDebugging, refactoring, code review, and technical debt reduction, *Strong preference for backend and cloud-native development experience, with hands-on work across: oAPIs, services, integrations, and data access layers oCloud-hosted application components and distributed service patterns oContainerized application delivery and runtime considerations *Front-end experience is a plus, but this role is primarily focused on backend, API, service, and cloud-enabled application development with enough platform awareness to support migration and modernization work.
DevOps & Delivery Practices *Strong experience with modern DevOps practices, including: oCI/CD pipelines oInfrastructure as Code (IaC), especially Terraform oAutomated testing and deployment oObservability, logging, and monitoring *Practical experience supporting software delivery with tools and platforms such as Git, CI/CD platforms, containers, Kubernetes, and GKE. *Ability to work effectively with platform and infrastructure concerns, including deployment patterns, environment configuration, and operational support. *A mindset focused on operability, reliability, and automation, not just code delivery.
GCP Migration & Cloud Platform Experience *Strong experience with Google Cloud Platform is preferred, including migrating, modernizing, building, deploying, and supporting applications in GCP environments. *Experience supporting cloud migration and modernization activities, including workload assessment, dependency analysis, application refactoring, environment configuration, data/service integration, and post-migration validation. oGCP services relevant to application hosting, integration, migration, runtime operations, and modernization oNetworking, security, and identity concepts oManaged services across compute, storage, and supporting platform capabilities oScalability, resilience, and supportability considerations oMigration patterns such as rehosting, replatforming, refactoring, containerization, and incremental modernization *Experience with AWS or Azure is a plus, but stronger depth in GCP is preferred for this engagement.
AI Skills & Tool Usage *Demonstrated experience using AI assisted development tools to improve productivity, quality, and learning (e.g., code generation, refactoring, testing, documentation). *Basic familiarity with AI enabled application patterns, such as: oIntegrating hosted AI services or APIs oUsing AI for data processing, search, or automation use cases *Ability to evaluate AI tools pragmatically, understanding benefits, limitations, and responsible use within enterprise and client contexts. *Willingness to continuously upskill as AI tooling and platforms evolve
Professional Expectations *Owns complex and/or ambiguous features end to end, drives technical decisions within scope, and mentors others through that ambiguity. *Communicates clearly with both technical and non technical stakeholders. *Comfortable working across multiple projects or domains as GE NA demand shifts. *Balances delivery speed with code quality, stability, and long term maintainability. *Contributes positively to team culture and knowledge sharing., *Typically 7+ years of professional software development experience (or equivalent demonstrated capability). *Bachelor's degree in Computer Science, Engineering, or related field preferred, or equivalent practical experience. *Relevant technical certifications (cloud, DevOps, etc.) are a plus but not required.
Benefits & conditions
Additional Skills & Qualifications See Above Experience Level Intermediate Level Job Type & LocationThis is a Permanent position based out of Hanover, MD. Pay and BenefitsThe pay range for this position is $97100.00 - $137500.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following:
-
Medical, Dental, and Vision
-
Critical Illness, Accident, and Hospital
-
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
-
Life Insurance (Voluntary Life and AD&D for employee and dependents)