7 manager software engineering jobs found

Together we fight for everyone’s opportunity for a better financial future. We will do this together — with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone’s access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future.  We know that reaching this future depends on our actions today. Like our Purpose Statement, Voya believes in being bold and committed to action.  We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully...

Software Engineer – Java Description As a Software Engineer, you will develop and execute key technology components of the Group Benefits Absence Platform. Absence Comprehensive Experience (ACE) is one of the key initiatives that will drive the success of the Group Benefits growth strategy.  It is one of the largest programs within Guardian today.  This is not just a multi-year program to re-platform; it is the future of how we transform as a business: bringing a comprehensive Disability and Absence Management suite of offerings to Guardian Insurance customers.  This role will work directly with solution architects, testing partners, cross-functional stakeholders and development team members to define, design and deliver the technical solutions that will support the business’ vision, strategy and goals.  The role will specifically support the objectives aligned with the ACE Program, implementing absence functionality across multiple workstreams. You are A...

As a Tech Lead, you’ll serve as the hands-on technical leader for a team within Guardian’s Digital & Technology organization. You’ll guide engineers in building secure, scalable, and high-performing solutions, while ensuring engineering practices align to Guardian’s architectural and delivery standards. Working closely with the Product D&T Leader and Product Owner, you’ll translate business outcomes into technical execution and foster a culture of engineering excellence You Are A self-starter, continuous learner and hands-on technical engineer who can translate vision from the Platform / Product D&T leader into development by partnering across the engineers, product managers, business partners and executive stakeholders.   You Will Lead and mentor a team of software engineers, fostering a collaborative and high-performing environment. Architect, design, and develop robust, scalable, and secure software applications using modern engineering practices....

Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress. Job Title:  Director, Quality Engineering Location:  New York, NY / Philadelphia, PA / Atlanta, GA Department:  Starr Technology Group Overview: The Director, Quality Engineering plays a critical leadership role responsible for operationalizing and scaling Starr’s Quality Engineering (QE) strategy. This leadership position is tasked with leading the execution of QE methodologies, managing QE teams, and driving the maturity of automated and manual...

Primary Details Time Type: Full time Worker Type: Employee AI Engineer – Role Overview Specialises in designing and deploying GenAI solutions by crafting effective, domain-specific prompts and ensuring scalable, production-ready integration through MLOps practices. Key Responsibilities/Qualifications: • Prompt Engineering: Create and optimise prompts to drive accurate and relevant LLM outputs tailored to specific business needs. • Business Domain Acumen: Collaborate with stakeholders to understand industry-specific terminology, processes, and challenges, enabling more effective AI solutions. • MLOps Integration: Build, deploy, and manage GenAI pipelines using platforms such as MLflow or Azure ML, ensuring reliability, scalability, and maintainability. • Responsible AI: Apply principles of fairness, transparency, and security, including bias mitigation and model explainability. Key Responsibilities: • Prompt Engineering: Create and optimise prompts to drive accurate...

Primary Details Time Type: Full time Worker Type: Employee AI Engineer – Role Overview Specialises in designing and deploying GenAI solutions by crafting effective, domain-specific prompts and ensuring scalable, production-ready integration through MLOps practices. Key Responsibilities/Qualifications: • Prompt Engineering: Create and optimise prompts to drive accurate and relevant LLM outputs tailored to specific business needs. • Business Domain Acumen: Collaborate with stakeholders to understand industry-specific terminology, processes, and challenges, enabling more effective AI solutions. • MLOps Integration: Build, deploy, and manage GenAI pipelines using platforms such as MLflow or Azure ML, ensuring reliability, scalability, and maintainability. • Responsible AI: Apply principles of fairness, transparency, and security, including bias mitigation and model explainability. Responsibilities: Analyse business requirements, design and implement solutions....

Primary Details Time Type: Full time Worker Type: Employee AI Engineer – Role Overview Specialises in designing and deploying GenAI solutions by crafting effective, domain-specific prompts and ensuring scalable, production-ready integration through MLOps practices. Key Responsibilities/Qualifications: • Prompt Engineering: Create and optimise prompts to drive accurate and relevant LLM outputs tailored to specific business needs. • Business Domain Acumen: Collaborate with stakeholders to understand industry-specific terminology, processes, and challenges, enabling more effective AI solutions. • MLOps Integration: Build, deploy, and manage GenAI pipelines using platforms such as MLflow or Azure ML, ensuring reliability, scalability, and maintainability. • Responsible AI: Apply principles of fairness, transparency, and security, including bias mitigation and model explainability. Responsibilities: Analyse business requirements, design and implement solutions....