Top Tech Jobs & Startup Jobs in Pune

Lead design and build cloud-native batch and real-time data platforms. Develop scalable ETL/ELT and streaming pipelines (Spark, Kafka, Flink), ensure data quality, governance, observability, security, cost optimization, and drive platform engineering excellence and team mentorship.

Owns platform product vision, roadmap, feature prioritization, requirements, releases, metrics, operational health, and customer-impacting issues. Partners with engineering, UX, technical program managers, business stakeholders, vendors, and customer service. Drives platform launches, documentation, PCI audits, vulnerability and technical-debt tracking, performance analysis, and continuous improvements while mentoring team members.

Manages software engineering teams and owns end-to-end delivery of analytics and business intelligence solutions. Responsibilities include people management, technical strategy, architecture and system design, code and deliverable reviews, quality and security oversight, technical debt management, innovation, stakeholder coordination, and Agile delivery. The role requires expertise in React.js, .NET, AWS, databases, Hadoop, Spark, Databricks, big-data analytics, CI/CD, DevOps, and automation.

Provides administrative and office operations support, including supply and equipment purchasing, meeting and event coordination, front desk coverage, vendor relationship management, and facilities and equipment maintenance coordination. The role also supports special projects, troubleshoots administrative and basic IT issues, and assists employees, clients, and visitors. Strong organization, professionalism, English fluency, Microsoft Office proficiency, and problem-solving skills are required.

Develops advanced statistical models and custom analyses using analytics tools to guide client decision-making. The role communicates findings through presentations, builds client relationships, provides project updates, creates deliverables, implements solutions, and mentors Associates. Candidates need a quantitative academic background, programming or analytics-tool proficiency, strong communication skills, and up to three years of relevant experience.

Build and improve production-oriented enterprise AI solutions using prompts, LLMs, RAG, workflow automation, APIs, governed data, and evaluation frameworks. Integrate systems such as Salesforce, Slack, Snowflake, and AWS using n8n, Python, JavaScript, or TypeScript. Apply context engineering, observability, security, privacy, testing, and reliability controls while partnering with business, product, data, security, and engineering stakeholders.

Leads data quality activities across the analytics lifecycle, including profiling, validation, anomaly detection, pipeline monitoring, testing, and quality reporting. Builds data quality rules and artifacts, collaborates with business and technology stakeholders, leads solution design and estimation, and mentors Data Quality Analysts. Works with large on-premises and cloud datasets across data lakes, warehouses, and marts.

Leads cross-functional customer experience improvement initiatives by analyzing Voice of Customer feedback, complaints, surveys, operational metrics, and customer journeys. Facilitates root cause analysis, action planning, workshops, and stakeholder alignment; tracks risks, milestones, outcomes, and accountability. Manages complaint responses, documents activities in Salesforce, prepares executive reports, supports customer journey mapping, and ensures compliance with customer feedback and complaint-handling processes.

Lead quality engineering for scalable, cloud-native microservices. Develop manual and automated tests, maintain test harnesses, integrate testing into CI/CD, configure application environments, validate functionality across operating systems and databases, and partner with developers to diagnose defects. Champion automation and testing standards, improve execution reliability and coverage, collaborate with product and engineering leadership, and mentor team members. The role also requires using AI-assisted engineering tools and frameworks to improve delivery and product quality.

Drive enterprise software acquisition and revenue growth across a regional territory. Manage prospects and a small existing customer base using land-and-expand strategies, executive engagement, demonstrations, events, territory planning, and strategic account development. Build relationships with VP and C-level stakeholders, partners, and internal teams to close complex sales, acquire new logos, expand usage, and support successful customer implementations.

Design and develop a scalable automated locates platform for securities finance using Java, Spring, microservices, distributed systems, containers, AWS, SQL, caching, and messaging technologies. Build enterprise applications, optimize transactional data models and queries, integrate with existing workflows, and collaborate with developers, analysts, QA, and operations teams.

Lead Circle’s brand evolution across product launches, campaigns, events, advertising, social, motion, and digital experiences. Develop scalable visual identity systems, campaign concepts, illustrations, storyboards, and launch assets. Collaborate with Marketing, Product Marketing, Content, Motion, and Leadership to communicate complex software and AI products through compelling visual storytelling. Present concepts, maintain high craft standards, and explore AI-powered creative workflows.

Develops and integrates radiating components and passive radiation-pattern structures for multiband base-station antennas. Responsibilities include 3D and 2D electromagnetic simulation, prototype RF measurements, performance optimization, troubleshooting, technical documentation, and supporting the product lifecycle through mass production. The role collaborates with international cross-functional teams and requires relocation to Rosenheim, Germany.