Top Tech Jobs & Startup Jobs in India

Lead data engineering initiatives supporting financial brokerage applications. Responsibilities include developing and modernizing cloud data platforms, establishing engineering and data quality standards, mentoring engineers, implementing governance and compliance, optimizing performance and costs, and enabling analytics and AI/ML. The role requires collaboration with product, architecture, data science, business, and executive stakeholders in an agile environment.

Leads quality engineering and ETL test automation for highly available software systems. Translates requirements into test strategies, scenarios, and plans; designs and maintains automated tests and utilities; validates data pipelines, transformations, business rules, databases, and reports; and develops automation using Java or Python, PL/SQL, Jenkins, and ETL tools. Collaborates with architects, developers, analysts, and stakeholders to improve quality practices, automation maintainability, CI/CD processes, and QA metrics.

Owns tax technology requirements from analysis through implementation, partnering with Tax, Controllership, and cross-functional teams. Designs Oracle Cloud Fusion tax structures, OneSource integrations, e-invoicing interfaces, testing, and deployment. Monitors global e-invoicing and tax reporting mandates, manages tax reporting analytics, validates data, and identifies AI and automation opportunities. The role requires extensive tax technology, Oracle, indirect tax, e-invoicing, and Agile delivery experience.

Own customer success for Akamai’s premium customers by serving as a strategic and technical advisor, coordinating cross-functional account teams, resolving escalations, expanding product adoption, and improving retention, satisfaction, and growth. The role requires strong knowledge of internet technologies, CDNs, DevOps, web development, and web security, along with experience managing technical programs and building trusted customer relationships.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

Develop, maintain, and enhance scalable Java applications, web components, database integrations, and RESTful services. Apply Java EE, Spring, Hibernate, or JSF; write SQL and integrate relational databases; troubleshoot application and performance issues; participate in Agile ceremonies, code reviews, testing, documentation, and collaborative software delivery. The role also supports secure development, cloud-enabled deployment, application quality, maintainability, scalability, and continuous improvement.

Develop and maintain full-stack Java applications with React or Angular interfaces, RESTful services, relational database integrations, and enterprise Java frameworks. Responsibilities include writing scalable code, debugging issues, participating in Agile ceremonies and code reviews, maintaining documentation, addressing security and performance concerns, and collaborating with cross-functional teams to deliver reliable software.

Develop, test, and maintain Java applications, APIs, microservices, and database integrations using Spring and related technologies. Responsibilities include writing secure and maintainable code, creating automated tests, resolving defects and production issues, maintaining CI/CD pipelines, participating in code reviews and Agile ceremonies, and collaborating with cross-functional teams. The role also contributes to performance, scalability, documentation, deployment, release activities, and continuous improvement.

Develops production-grade predictive machine learning, generative AI, and agentic solutions. Builds MLOps pipelines, feature stores, LLM integrations, RAG systems, model endpoints, and evaluation and monitoring frameworks. The role covers model deployment, drift detection, responsible AI, governance, business KPI alignment, and mentoring AI/ML engineers while collaborating with data engineering, MLOps, and product teams.

Leads the architecture and delivery of enterprise AI/ML, generative AI, agentic workflows, and MLOps solutions. Establishes engineering standards, production deployment pipelines, model monitoring, evaluation, responsible AI practices, and governance. Integrates LLM APIs, vector databases, and cloud AI platforms while mentoring AI/ML engineers and connecting model outcomes to business value.

Lead data quality engineering across e-commerce, POS, and ERP pipelines. Design automated validation, profiling, anomaly detection, reconciliation frameworks, monitoring, alerting, and data quality scorecards. Define quality dimensions, SLAs, severity scoring, and support master data harmonization and golden records. Use SQL, Python, dbt, data testing tools, cloud data warehouses, and lineage platforms. Mentor engineers and collaborate with data governance and engineering teams.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

Expands project sales by developing relationships with builders, electrical contractors, and other stakeholders. Identifies opportunities, prepares proposals and technical presentations, negotiates contracts, manages forecasts and CRM records, and closes sales. Collaborates with engineering, product, and service teams to support project execution, conducts market research, participates in industry events, and achieves sales targets within an assigned territory.

Perform accounting activities for Circle K’s Germany business unit, including gift card reconciliation, store invoice processing, query resolution, financial record support, month-end closing, discrepancy resolution, and process improvement. The role requires accounting experience, ERP knowledge, strong computer skills, fluent English, and an accounting, finance, or economics background.

Facilitates Scrum ceremonies, coaches Agile teams and Product Owners, removes impediments, supports backlog refinement and sprint delivery, tracks Agile metrics, escalates risks, and promotes continuous improvement. The role also aligns distributed data and analytics teams with broader program goals, partners with PMO and portfolio leadership, and contributes to scaled Agile standards and community development.

Performs advanced data analysis, statistical evaluation, data mining, and visualization to assess product performance and safety. Creates dashboards and reports for regulatory and management review, conducts independent research, extracts actionable insights, and communicates findings to stakeholders and business partners.

Complete classroom and field sales training while learning pharmaceutical products, eye anatomy, healthcare systems, sales processes, and compliance requirements. Accompany mentors on healthcare professional visits, develop sales presentation and prescription-generation skills, manage retailer and pharmacy relationships, use Salesforce, RCPA, and Pitcher for planning and reporting, and meet training KPIs for potential absorption into a Sales Representative role.

Develop scalable data assets, cloud applications, BI and reporting solutions using AWS, Snowflake, Python, and related technologies. Design data integrations, implement analytics capabilities, support disaster recovery, and solve complex business problems. Collaborate with product owners, business stakeholders, and cross-functional IT teams in Agile environments. Provide technical leadership, evaluate system enhancements, estimate implementation efforts, and deliver reliable solutions for financial and insurance data systems.