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Role: AI/ ML Engineering

Experience: 3 to 5 yrs

Work location: Hyderabad

Interview mode: Virtual

Notice period: Immediate Joiner

Key Responsibilities:

·        Design and implement RAG pipelines and AI agentic systems using cutting-edge LLM frameworks.

·        Fine-tune open-source LLMs and develop narrow, domain-specific models.

·        Build and maintain ML pipelines using MLFlow and ensure reproducibility, auditability, and version control.

·        Collaborate with cross-functional teams to deploy ML systems into scalable, secure, and production-ready environments.

·        Containerize and serve models using Docker, Kubernetes, and FastAPI.

·        Automate CI/CD workflows using Azure DevOps, with integrated monitoring and alerts.

·        Integrate authentication and authorization flows using Azure AD and Microsoft Graph API.

·        Optimize deployed models for latency, cost-efficiency, and operational maintainability.

Required Skills & Experience:

·        Strong foundation in Computer Science, software architecture, and distributed systems.

·        Proficiency in Python, including both object-oriented and functional programming paradigms.

·        Hands-on experience with open-source LLMs, embedding models, and vector databases.

·        Practical implementation of RAG pipelines and LLM agentic systems.

·        Strong working knowledge of MLOps tooling (e.g., MLFlow), model versioning, and reproducible experiments.

·        Experience deploying ML systems using Docker, Kubernetes, and FastAPI or equivalent frameworks.

·        Proven experience working in Azure cloud ecosystem:

·        Azure DevOps for build/release automation.

·        Azure GraphAPI for accessing organizational data.

·        Secure identity flows using Azure AD.

Who We Are

At Sonatype, we help organizations build better, more secure software by enabling them to understand and control their software supply chains. Our products are trusted by thousands of engineering teams globally, providing critical insights into dependency health, license risk, and software security. We’re passionate about empowering developers—and we back it with data.

The Opportunity

We’re looking for a Data Engineer with full stack expertise to join our growing Data Platform team. This role blends data engineering, microservices, and full-stack development to deliver end-to-end services that power analytics, machine learning, and advanced search across Sonatype.

You will design and build data-driven microservices and workflows using Java, Python, and Spring Batch, implement frontends for data workflows, and deploy everything through CI/CD pipelines into AWS ECS/Fargate. You’ll also ensure services are monitorable, debuggable, and reliable at scale, while clearly documenting designs with Mermaid-based sequence and dataflow diagrams.

This is a hands-on engineering role for someone who thrives at the intersection of data systems, fullstack development, ML, and cloud-native platforms.

What You’ll Do

• Design, build, and maintain data pipelines, ETL/ELT workflows, and scalable microservices.
• Development of complex web scraping (Playwright) and realtime pipelines (Kafka/Queues/Flink).
• Develop end-to-end microservices with backend (Java 5+, Python 5+, Spring Batch 2+) and frontend (React or any).
• Deploy, publish, and operate services in AWS ECS/Fargate using CI/CD pipelines (Jenkins, GitOps).
• Architect and optimize data storage models in SQL (MySQL, PostgreSQL) and NoSQL stores.
• Implement web scraping and external data ingestion pipelines.
• Enable Databricks and PySpark-based workflows for large-scale analytics.
• Build advanced data search capabilities (fuzzy matching, vector similarity search, semantic retrieval).
• Apply ML techniques (scikit-learn, classification algorithms, predictive modeling) to data-driven solutions.
• Implement observability, debugging, monitoring, and alerting for deployed services.
• Create Mermaid sequence diagrams, flowcharts, and dataflow diagrams to document system architecture and workflows.
• Drive best practices in fullstack data service development, including architecture, testing, and documentation.

What We’re Looking For

• 5+ years of experience as a Data Engineer or a Software Backend engineering role.
• Strong programming skills in Python, Scala, or JavaHands-on experience with HBase or similar NoSQL columnar stores.
• Hands-on experience with distributed data systems like Spark, Kafka, or Flink.
• Proficient in writing complex SQL and optimizing queries for performance.
• Experience building and maintaining robust ETL/ELT pipelines in production.
• Familiarity with workflow orchestration tools (Airflow, Dagster, or similar).
• Understanding of data modeling techniques (star schema, dimensional modeling, etc.).
• Familiarity with CI/CD pipelines (Jenkins or similar).
• Ability to visualize and communicate architectures using Mermaid diagrams.

Bonus Points

• Experience working with Databricks, dbt, Terraform, or Kubernetes
• Familiarity with streaming data pipelines or real-time processing
• Exposure to data governance frameworks and tools
• Experience supporting data products or ML pipelines in production
• Strong understanding of data privacy, security, and compliance best practices

Why You’ll Love Working Here

• Data with purpose: Work on problems that directly impact how the world builds secure software
• Modern tooling: Leverage the best of open-source and cloud-native technologies
• Collaborative culture: Join a passionate team that values learning, autonomy, and impact

Below is the need for SFCC folks for Salesforce account. We require technically very strong resources. The rounds of interview will be L1 + client interview –

• The candidate should be very strong in B2B.
• The candidate should be having sound end to end project experience and should be able to independently handle customer scenarios . 
• The candidate is expected to have understanding and working knowledge of latest SFCC features.
• The candidate should have a sound customer facing experience.
• The candidate should have good written and verbal communication.

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in.

REQUIREMENTS:

• Must have Skills: Cloud development (Capable), Microservices architecture (MSA) (Strong), Site reliability Engineering
• Qualifications: - Bachelors degree in computer science or other highly technical, scientific discipline
• 10+yrs experience and a strong background in areas like cloud operations and site reliability engineering
• Hands-on knowledge and experience with any of the major public cloud providers (preferably AWS)
• Good understanding of micro-service architectures and development frameworks; knowledge across tiers in a multi-tier cloud environment including multi-region, multi-zone configurations, load balancers, web servers, application containers, data stores, distributed cache, and content delivery networks
• Hands-on knowledge and experience with observability and monitoring tools like New Relic, Splunk, Prometheus and Grafana
• Ability to program (structured and OO) with one or more high-level languages, such as Python, Go lang, Shell scripting, C/C++ or Java
• Ability to work with query languages to analyze monitoring data and other app-specific transactions
• A proactive approach to spotting problems, areas for improvement, and performance bottlenecks
• An Agile mindset and strong communication skills to collaborate with multiple stakeholders across the organization

RESPONSIBILITIES:

• Participate in functional discussions, system design consulting, platform management, and capacity planning to develop an overall understanding of the product and teams current priorities
• Partner with development teams to improve services through rigorous testing, release procedures, automation of runbooks, and DR planning
• Build automation scripts for auto-recover behavior, determining benchmark of critical services, preparing custom dashboards to report performance in production
• Understand product functionality to design and build thoughtful experiments to simulate chaos and proactively find faults in the systems
• Work with architects to define service level indicators and create a service catalog
• Gather and analyze SLIs, SLOs from applications, services, and OS to assist in performance tuning, improving availability and reliability
• Improve monitoring and observability to increase visibility into key metrics like MTTI, MTTR, and MTTD
• Work with the team to understand the root cause of production incidents
• Train and groom engineers to internalize SRE best practices

• Skilled in Java / J2EE including frameworks like Microservices, Spring boot, hibernate etc
• Experience with microservices-based architecture including building
• Good knowledge of SQL (MySQL / Oracle / SQL Server / Postgres), NoSQL (MongoDB / Cassandra), App server Knowledge (Tomcat/JBoss etc.), OSGi, REST Web Services
• Working / Usage experience of Docker, Microservices, Jenkins, Multithreading, Design patterns, Java 1.8 and Container
• Experience with Cloud computing in added advantage (AWS / Azure)
• Strong Debugging and Troubleshooting Expertise.
• Strong communication skills (oral and written)

What you need to have:

This innovative startup offers ready to drink alcoholic beverages for the global Indian. They are disrupting a $35bn market by offering consumers more choice, better packaging and an aspirational experience. The company is on track to be sold in more than 1000 outlets by the end of the year, and has raised a seed round of ~ $500mn from well known VCs and founders including First Cheque, Letsventure and Bhavish Agarwal.

The company was founded by an IIT Bombay alum who has more than a decade of experience in established global FMCG companies like P&G, as well as startups like Ola and FoodPanda.

As a Key Account Manager, you will be developing and managing a portfolio of Key Accounts and handling off-premise as well on on-premise sales.

What you will do:

• Handling key accounts, strategizing and driving sales and ensuring increase in business for the company
• Acquiring a thorough understanding of the business needs and requirements of the key customers
• Educating and updating the customers about the company’s products
• Serving as an important link of communication between key customers and the management
• Building and maintaining long-term professional relationships with the customers, obtaining feedback from customers and also handling escalations, if any
• Handling contracts and renewal with regards to the key accounts assigned
• Handling the commercial agreements, pricing, quotations etc. of the key accounts managed and reporting the same to the management
• Periodic review and course correction of sales plans as well as the key accounts and reporting the same to the management
• Handling internal stakeholders such as various internal teams and external stakeholders such as customers
• Analyzing and having an in-depth knowledge of competition and current market trends and reporting the same to the management in regular intervals
• Ensuring compliance of Government rules, laws and regulations while handling various documents, contracts and agreements

Desired Candidate Profile

• Mandatory Skills : Java, Springboot, Microservices.
• Basic knowlege of HTML and CSS
• good understanding of REST API designing as well as development using spring.
• Strong Hands on experience in Angular or React JS
• Effective in using frameworks.
• Proficient understanding of code versioning tools Git/bit bucket with Maven.
• hands on expereince in SQL

4-6 years of total experience in data warehousing and business intelligence

3+ years of solid Power BI experience (Power Query, M-Query, DAX, Aggregates)

2 years’ experience building Power BI using cloud data (Snowflake, Azure Synapse, SQL DB, data lake)

Strong experience building visually appealing UI/UX in Power BI

Understand how to design Power BI solutions for performance (composite models, incremental refresh, analysis services)

Experience building Power BI using large data in direct query mode

Expert SQL background (query building, stored procedure, optimizing performance)