• Support technology consulting initiatives related to digital transformation, system implementation, and process optimization. • Assist in analyzing business and technical requirements to propose effective technology solutions. • Collaborate with cross-functional teams to deliver consulting projects on time and within scope. • Participate in client meetings, documenting requirements, action items, and project updates. • Conduct research on emerging technologies, platforms, and industry best practices. • Translate business needs into technical insights and recommendations. • Assist with data analysis, reporting, and solution evaluation. • Support solution design discussions and contribute to technical documentation. • Help identify operational inefficiencies and recommend improvements. • Work closely with senior consultants and project leaders. • Prepare presentations, reports, and executive summaries. • Maintain project documentation and ensure alignment with consulting methodologies. • Communicate effectively with technical and non-technical stakeholders.

• Make decisions based on multiple quality dimensions like user impact, failure tolerance, code maintenance, implementation time, security breaches, and performance. • Implement quality gates and improve agentic-driven processes and workflows. • Collaborate on novel ideas to improve the team processes. • Lead initiatives and own subproducts and feature development from problem statement and specification to production deployment. • Care for and monitor the quality of our product. • Raise awareness of technical issues. • Develop a clear understanding of business value and collaborate with stakeholders by analyzing features and suggesting alternatives. • Assist our platform and tooling’s users with their issues and resolve bugs they may experience. • Proactively identify technical debt and product areas that require attention or improvements and suggest improvements in our technology stack. • Mentor fellow teammates. • Bring up difficult and/or systemic challenges and impediments to the attention of your manager.

At Paymira, our mission is to fully automate payroll for organizations while enhancing the employee experience and financial well-being. We use cutting-edge technology to provide a payroll service that combines the highest levels of automation with an outstanding customer experience. In the age of AI, we see tremendous opportunities to redefine the way payroll services are delivered. Do you want to be part of this exciting change and help shape the future? Tasks - Design and operate backend services powering the payroll platform, REST/gRPC APIs and event-driven architectures on AWS (EKS, S3, RDS, Bedrock) - Integrate LLMs into production services: prompt engineering, API orchestration, and AI agent workflows for use cases such as document extraction (e.g. contracts, policies), automated routing and resolution of service requests, and personalized employee-facing assistants. - Own and evolve cloud infrastructure using Terraform or Pulumi, and build CI/CD pipelines - Run Kubernetes in production, deploy, scale, debug, and optimize services for reliability and performance - Build and own observability end-to-end: monitoring, alerting, and dashboards to keep production healthy - Automation of workflows: Identification and implementation of automation opportunities, e.g. in data exchange with authorities, insurance companies and other stakeholders. - Evaluate and integrate AI tools and services that fit our architecture and bring AI-powered features from prototype to production. - Make system design and architecture decisions with real influence over how the platform is built. Requirements Technical skills: - Proven excellence in at least one backend language. Kotlin and/or Python is a plus, but clean, maintainable code matters more than the specific language. - Deep AWS experience (EKS, S3, RDS, Bedrock) - Strong Kubernetes expertise in production environments - Infrastructure-as-Code with Terraform or Pulumi - CI/CD pipeline design (Gitlab, Github Actions or equivalent) - Experience with LLM APIs (e.g. Anthropic, OpenAI, AWS Bedrock), embedding models, and AI orchestration patterns such as tool calling and guardrails. - Experience in API integration and system interoperability. Hands-on experience: - Track record of shipping AI-powered features to production, including LLM integration, prompt engineering, and API orchestration. - Experience building AI agent workflows (DSPy, Hugging Face stack, or similar) that deliver real business value. - You've built monitoring, alerting, and dashboards and used them to debug production incidents. Soft Skills: - Entrepreneurial mindset, initiative and ability to work in a dynamic startup environment. - Strong analytical and strategic thinking. - Communication skills to convey complex technical solutions in an understandable way. Education and experience: - Degree in Computer Science, Data Science, Mathematics or a related field (or equivalent practical experience). - 5+ years of professional experience in backend/platform engineering, with 2+ years focused on AI/ML. Background in payroll, HR-tech, FinTech, or B2B SaaS is a plus. Nice-to-haves: - Fine-tuning or training ML models / MLOps experience. - Frontend experience, most notably React and TypeScript. Benefits - The once in a lifetime opportunity to work with experienced serial entrepreneurs on a new project. You will be one of the first employees. - Attractive salary package with access to company shares (ESOP). - Flexible working hours with the option to work remotely. - Professional development opportunities and support for continuous learning. - A collaborative and innovative work environment.

Description and Requirements Position Summary MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science Role Value Proposition: Platform Support Engineer plays a critical role in the Data & Analytics life cycle. The role requires one to demonstrate expertise in Either Cognos or IDQ or Atacamma or Collibra platform administration, monitoring, troubleshooting, and user support.Besides contributing in individual capacity to support wide ranging business problems, this role also leads and develops Data and Analytics talent Job Responsibilities • Provide administration, monitoring, and support for Either Cognos or IDQ or Atacamma or Collibra platform • Support user onboarding, access control, and training to drive adoption. • Monitor platform performance, availability, and user access, ensuring compliance with SLAs. • Perform incident triage, troubleshooting, and resolution for governance and quality platform issues. • Manage platform configuration, upgrades, patches, and integrations with enterprise data systems. • Work with vendors ( Cognos or IDQ or Atacamma or Collibra or informatica) and internal engineering teams to escalate and resolve complex issues. • Document and maintain runbooks, support procedures • Communication skills, analytical skills, structured problem-solving skills. • Storytelling, Partner, Stakeholder engagement experience • Provide people leadership: coach , develop and engage talent. Knowledge, Skills and Abilities Education Bachelors degree in computer science , information technology or equivalent educational qualification Technical Skills and Experience • Cognos or IDQ or Atacamma or Collibra or informatica administration (installation, configuration, patching, upgrades, monitoring) • Knowledge of incident management and ITSM tools (ServiceNow, AzDo ) • SQL for basic troubleshooting, validation, and metadata checks • Communication skills, analytical skills, structured problem-solving skills. • Storytelling, Partner, Stakeholder engagement experience • People leadership: talent development & engagement experience Good to Have (Preferred) • Exposure to scripting/automation (Python, Shell, PowerShell) for monitoring and support tasks About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!