Photon Logo

Photon

Engineering Lead | Onsite

Posted 3 Months Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in United States
44K-154K Annually
Expert/Leader
In-Office or Remote
Hiring Remotely in United States
44K-154K Annually
Expert/Leader
Lead design, architecture, and delivery of enterprise web, mobile, backend and cloud solutions. Provide technical and people leadership across Agile teams, enforce engineering best practices (CI/CD, DevSecOps, observability), mentor engineers, manage delivery risks, and drive platform modernization and production readiness.
The summary above was generated by AI

POSITION OVERVIEW 

Lead the design, development, and delivery of scalable, secure, and high-performing enterprise software solutions across web, mobile, backend, cloud, and integration platforms. Provide technical leadership to cross-functional engineering teams, establish engineering best practices, drive architectural decisions, and ensure successful execution of complex digital transformation initiatives. Collaborate closely with Product Managers, Architects, UX, QA, DevOps, and business stakeholders to deliver customer-centric solutions while fostering a culture of innovation, quality, and continuous improvement. 


RESPONSIBILITIES 

Technical Leadership & Architecture 

  • Lead engineering teams in designing, developing, and delivering enterprise-grade software solutions.  
  • Drive technical strategy, architecture, and technology selection aligned with business objectives.  
  • Review and approve solution designs, code quality, and engineering standards.  
  • Ensure applications meet security, scalability, performance, reliability, and maintainability requirements.  
  • Guide teams in implementing modern engineering patterns, cloud-native architectures, and API-first design principles.  
  • Resolve complex technical challenges and provide hands-on support when necessary.  

Engineering Delivery 

  • Lead end-to-end software delivery across multiple Agile teams.  
  • Collaborate with Product Owners and Scrum Masters to plan releases, prioritize technical work, and manage delivery risks.  
  • Monitor project execution, engineering velocity, and delivery quality.  
  • Ensure engineering deliverables meet timelines, quality standards, and business expectations.  
  • Drive continuous integration, continuous delivery (CI/CD), and DevSecOps best practices.  

People Leadership 

  • Mentor and coach engineers, technical leads, and senior developers.  
  • Conduct technical reviews, performance evaluations, and career development planning.  
  • Foster a collaborative, inclusive, and high-performance engineering culture.  
  • Support hiring, onboarding, and technical interviewing activities.  
  • Promote knowledge sharing, technical excellence, and continuous learning across teams.  

Quality & Operational Excellence 

  • Champion engineering best practices including code reviews, automated testing, observability, and secure development.  
  • Improve engineering processes through metrics, retrospectives, and continuous improvement initiatives.  
  • Ensure production readiness through monitoring, logging, incident management, and root cause analysis.  
  • Drive technical debt reduction and platform modernization initiatives.  

Stakeholder Collaboration 

  • Partner with Product Management, Enterprise Architecture, Security, Infrastructure, and business stakeholders.  
  • Communicate engineering progress, technical risks, dependencies, and mitigation plans to leadership.  
  • Support strategic planning, roadmap development, and technology investment decisions.  

AI-Assisted Engineering 

  • Leverage enterprise-approved generative AI tools to improve engineering productivity across software design, development, documentation, testing, code review, debugging, and knowledge management while adhering to organizational governance and security policies.  

QUALIFICATIONS 

Required 

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline.  
  • 10+ years of software engineering experience with at least 3+ years leading engineering teams.  
  • Proven experience delivering large-scale enterprise applications across web, mobile, backend, and cloud platforms.  
  • Strong understanding of software architecture, distributed systems, microservices, RESTful APIs, event-driven architectures, and cloud-native development.  
  • Experience with modern frontend frameworks (React, Angular, or Vue), backend technologies (.NET, Java, Node.js, or similar), and cloud platforms (AWS, Azure, or GCP).  
  • Experience implementing CI/CD pipelines, DevSecOps practices, containerization, and orchestration technologies such as Docker and Kubernetes.  
  • Strong knowledge of Agile delivery methodologies including Scrum and Kanban.  
  • Excellent problem-solving, leadership, stakeholder management, and communication skills.  
  • Experience mentoring engineers and leading distributed technical teams.  

Preferred 

  • Experience in Banking, Financial Services, Insurance (BFSI), Retail, Healthcare, or other highly regulated industries.  
  • Hands-on experience with observability platforms, SRE practices, and production operations.  
  • Experience leading digital transformation, modernization, or cloud migration initiatives.  
  • Professional certifications in Cloud (AWS/Azure/GCP), Scrum, SAFe, or Architecture are preferred.  

TECHNICAL SKILLS 

Languages & Frameworks 

  • Java, C#, .NET, Node.js, Python, TypeScript, JavaScript  
  • React, Angular, Spring Boot, ASP.NET Core  

Cloud & Infrastructure 

  • AWS, Microsoft Azure, Google Cloud Platform  
  • Docker, Kubernetes, Terraform  

DevOps & CI/CD 

  • GitHub Actions, Azure DevOps, Jenkins, GitLab CI  
  • SonarQube, Nexus, Artifactory  

Data & Messaging 

  • SQL Server, PostgreSQL, MongoDB  
  • Kafka, RabbitMQ  

Monitoring & Security 

  • Prometheus, Grafana, Splunk, Datadog  
  • OAuth2, OpenID Connect, JWT, IAM, DevSecOps  

Methodologies 

  • Agile (Scrum/Kanban)  
  • Test-Driven Development (TDD)  
  • Continuous Integration & Continuous Delivery (CI/CD)  
  • Secure Software Development Lifecycle (SSDLC)  

EXPERIENCE 

  • 10+ years of enterprise software engineering experience.  
  • 3+ years leading engineering teams or multiple technical workstreams.  
  • Proven success delivering large-scale digital products from concept through production.  
  • Experience working with geographically distributed, cross-functional teams.  
  • Strong track record of driving engineering excellence, technical innovation, and successful software delivery. 

Compensation, Benefits and Duration

Minimum Compensation: USD 44,000
Maximum Compensation: USD 154,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

Photon San Francisco, California, USA Office

San Francisco, United States

Similar Jobs

19 Minutes Ago
Remote or Hybrid
83K-176K Annually
Senior level
83K-176K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Drive product convergence analysis, manage requirements timelines, support legacy insurance book consolidation, and design cross-functional working models. The role partners with Product, Technology, Delivery, and Pricing teams to define property and specialty insurance requirements, shape transformation roadmaps, and keep complex initiatives aligned.
19 Minutes Ago
Remote or Hybrid
83K-154K Annually
Senior level
83K-154K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Manage complex environmental, pollution, toxic tort, and mass litigation claims throughout the full lifecycle. Responsibilities include coverage analysis, liability investigation, reserving, litigation strategy, settlement negotiation, payment authorization, and claims denial decisions. The role manages defense counsel and consultants, collaborates with legal, underwriting, reinsurance, brokers, and policyholders, tracks regulatory and legal developments, mentors colleagues, and serves as an environmental claims subject matter expert.
Senior level
eCommerce • Information Technology • Internet of Things • Mobile • On-Demand • Retail • Software
Provides senior advisory, pursuit, commercial, and delivery leadership for a Risk & Resilience consulting practice. The role shapes enterprise opportunities, oversees client engagements, governs pricing and scope, advises executives, develops offerings, and connects risk, resilience, cybersecurity, AI, cloud, governance, and compliance capabilities into actionable strategies.
Top Skills: Artificial IntelligenceCloudCybersecurity

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account