Top Tech Jobs & Startup Jobs

Lead technical programs for branded card products, including launches, enhancements, and digital wallet integrations. Manage roadmaps, timelines, budgets, risks, dependencies, and stakeholder communication across engineering, QA, product, risk, compliance, and design teams. Track milestones using Jira dashboards, resolve cross-functional issues, report progress, and improve delivery processes. The role requires strong software development knowledge, Agile experience, database querying skills, cloud familiarity, and understanding of microservices architecture.

Develop and maintain full-stack applications using Java, Spring Boot, REST, database technologies, and modern front-end frameworks. Work on greenfield engineering initiatives, AWS cloud solutions, asynchronous processing, WebSockets, authentication, CI/CD pipelines, testing, and UI interoperability. Apply engineering best practices including code reviews and branching strategies, while collaborating through Jira, Confluence, Git, Maven, and Jenkins. Blockchain experience and AWS certification are advantageous.

Build scalable full-stack applications and distributed systems using Java, Spring Boot, REST APIs, microservices, and modern frontend frameworks. Develop cloud-native solutions on AWS with Kubernetes, Docker, CI/CD, and infrastructure automation. Improve reliability through observability, monitoring, alerting, incident analysis, and root cause analysis. Design automated testing across unit, integration, functional, and end-to-end layers. Drive technical solutions independently, mentor engineers, and collaborate across globally distributed teams.

Design and develop Java, Spring, and Spring Boot applications on AWS using serverless and container-based EKS architectures. Build REST APIs and fault-tolerant, transactional systems; customize CI/CD pipelines and use Terraform. Reverse engineer legacy mainframe platforms, identify and mitigate risks, solve technical problems, manage project deadlines, and collaborate with stakeholders and geographically distributed teams.

Develop and deliver AI/ML solutions by building supervised and unsupervised models, deep learning systems, NLP and LLM applications. Responsibilities include LLM fine-tuning, prompt engineering, RAG, vector databases, transformer architectures, and AI agent deployment. The role requires partnering with business stakeholders, presenting technical findings, and continuously learning emerging AI technologies.

Designs, configures, and maintains scalable Atlassian-based enterprise workflow solutions. Translates business requirements into Jira configurations, workflows, automations, dashboards, ticketing solutions, and integrations with HR, Finance, and SAP systems. Develops architecture documentation, supports data migration, gathers requirements, advises on platform strategy and governance, and drives continuous improvement. Collaborates with international stakeholders, product owners, project managers, and technical leads while explaining technical solutions to non-technical users.

Configure, administer, and enhance Jira Service Management solutions for Sales and Marketing. Gather stakeholder requirements, design workflows, request types, forms, queues, SLAs, portals, permissions, notifications, and automation. Troubleshoot configuration issues, support testing and deployments, document solutions, recommend best practices, and provide ongoing platform support. Collaborate with Jira, ITSM, and technology teams while translating business processes into effective technical configurations.

Analyzes business processes, data quality, and datasets to identify AI and automation opportunities. Translates business requirements into AI/ML use cases, collaborates on model development, evaluates model performance, and creates dashboards and reports. The role monitors AI solutions, researches emerging technologies, and supports governance, compliance, responsible AI, and prompt engineering initiatives while partnering with data scientists, engineers, product teams, and business stakeholders.

Develop and maintain scalable Snowflake data warehouses, ETL/ELT pipelines, data models, and integrations across cloud and on-premises sources. Optimize queries, clustering, partitioning, and warehouse performance; implement transformations using SQL, stored procedures, and Snowpark. Monitor data quality, governance, security, deployments, and production issues. Collaborate with engineers, architects, analysts, and business stakeholders while automating workflows and contributing to data architecture and best practices.

Design, develop, and maintain automated testing solutions for customer-facing applications and web services. Build test frameworks, integrate tests into CI/CD pipelines, and improve coverage, reliability, security, and release quality. Develop front-end and web-service automation using Groovy/Geb and Java/HttpClient, troubleshoot application issues, participate in code and test reviews, and collaborate with Agile development teams throughout the software lifecycle.