AI Summary
Lead the design, development, and deployment of cloud-based microservices and APIs. Collaborate with cross-functional teams to build scalable, secure, and reliable solutions. Mentor engineers and guide technical strategy.
Key Highlights
Lead the design and implementation of cloud-based microservices and APIs
Develop scalable applications integrating machine learning components
Collaborate with cross-functional and distributed teams to support agile development processes
Mentor and guide engineers, leading product feature development and accelerating technical solutions
Technical Skills Required
Benefits & Perks
Competitive salary and performance-based incentives
Comprehensive medical, dental, and vision coverage
Paid holidays, vacation time, and parental leave
Opportunities for professional growth, mentorship, and skill development
Flexible work arrangements, including remote or hybrid options
Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Technical Manager / Lead Tech in the United States.
In this role, you will lead the design, development, and deployment of cloud-based, high-performance microservices and APIs that power advanced content services platforms. You will work in an agile environment, collaborating closely with cross-functional teams to build scalable, secure, and reliable solutions. Your contributions will directly impact the delivery of predictive analytics and machine learning capabilities, enabling organizations to extract actionable insights from their physical and digital information. This is a hands-on leadership role where you will mentor engineers, guide technical strategy, and ensure the quality and performance of software solutions in a distributed, cloud-first environment. You will also engage with infrastructure teams and adopt best practices to ensure high standards of security, scalability, and maintainability.
Accountabilities:
- Lead the design and implementation of cloud-based microservices and APIs using Java, Python, and related frameworks (Spring Boot, Flask)
- Develop scalable applications, integrating machine learning components and supporting frontend needs with technologies such as Angular and ReactJS
- Implement Docker containerization and deploy applications to cloud platforms including GCP, AWS, and Azure
- Define API contracts, enable API-to-API integrations, and maintain service reliability and performance
- Participate in code reviews, define security considerations, and ensure adherence to design patterns and best practices
- Collaborate with cross-functional and distributed teams to support agile development processes and deliver production-grade systems
- Mentor and guide engineers, leading product feature development and accelerating technical solutions
- 7-10 years of development experience with OOP, Java, Python, Docker, Linux shell scripting, and SQL (SQL Server, Oracle, PostgreSQL, or MySQL)
- 3-5 years of cloud experience with GCP, AWS, or Azure, including storage, compute, and Kubernetes services
- Strong expertise in developing and deploying scalable AI/ML microservices and API gateways
- Proven experience in leading small engineering teams (3-5 engineers) and working in agile scrum methodologies
- Excellent problem-solving, collaboration, and communication skills with a track record of delivering high-quality software solutions
- Experience in architectural governance, security reviews, and implementing secure SDLC practices
- Familiarity with agile tools (JIRA, Rally, TFS, VersionOne) and code repositories (GIT, Artifactory)
- BS, MS, or MBA in Computer Science, Engineering, or related technical discipline preferred
- Competitive salary and performance-based incentives
- Comprehensive medical, dental, and vision coverage
- Paid holidays, vacation time, and parental leave
- Opportunities for professional growth, mentorship, and skill development
- Flexible work arrangements, including remote or hybrid options
- Collaborative and inclusive culture fostering innovation and impact
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job's core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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