About the team 
 
You will be part of the Roku Video Platform Engineering team and responsible for building the next-generation video services for the Roku Cloud TV Platform. 
 
About the role

Roku pioneered TV streaming and continues to innovate and lead the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in the Roku Cloud TV Platform, so we deliver a high-quality streaming TV experience at a global scale. 
In this role, you will work on key video services projects around video ingestion, encoding, VoD/live-linear, Server Side Ads Insertion, and Video QoS, with the goal of delivering a best-in-class streaming TV experience across all Roku devices. The projects that you will work on will impact millions of Roku users around the world. All along, you will have the opportunity to collaborate with key product engineering stakeholders across Roku engineering teams, and lead the design of our video services platform. 
The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can drive programs with the product and commercial teams within Roku and across external strategic partner organisations. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs. 
 
What you will be doing

• Design and implement highly scalable, and reliable web-scale applications
• Translate functional specifications into logical, component-based technical designs 
• Key technical contributor to the design and implementation of core software backend components of video services platform 
• Write and review code, evaluate architectural tradeoffs for performance and security for high-performance, and high-concurrency video infrastructure applications 
• Collaborate with other engineering groups across the company towards supporting our video services initiatives 
• Manage individual project priorities, deadlines and deliverables with limited supervision 

We're excited if you have

• Strong problem-solving and analytical abilities 
• 5+ years of solid programming experience in Java core libraries and developing web server applications, object-oriented design and design patterns, and passionate about writing high-quality and well-architected code 
• Strong technical competency and experience in building high-performance and cloud-based scalable micro-services 
• Experience with design and implementation of modern micro-services architectures and API frameworks (REST/JSON) 
• Experience with web servers such as Apache, Tomcat, and building and deploying services on AWS cloud 
• Experience with NoSQL data storage technologies such as Cassandra, DynamoDB, Redis, etc. as well as RDMBS like Oracle or MySQL 
• Domain expertise in the area of Over-the-Top Video delivery technologies, On-Demand/Live streaming, DRM, encoding, delivery, CDNs etc. is highly preferred 
• Ability to handle periodic on-call duty as well as out-of-band requests; strong written and verbal communication skills 
• Bachelor's Degree in Computer Science plus 8 years of experience or equivalent; Master's degree preferred 
  

About the Team 

The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and audience management workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries using Apache Spark for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

API and Platform Development

• Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

• Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.

We’re Excited If You Have 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.

• Expertise in developing low latency APIs
  

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and audience management. (preferred)

• Strong programming skills in Python, Java, and/or Scala. (preferred) 

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred) 

• Expertise in developing low latency APIs

•  Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)

• Experience in AdTech, in advertising data platforms and audience management. (preferred)
  

#LI-RM6 #LI-Hybrid

As a Senior AI/ML Engineer in our AdTech team, you will be a hands-on individual contributor building and deploying machine learning models and AI-driven features for our advertising platform. You will partner with engineering, product, and data science to deliver production-grade ML for campaign optimization, user personalization, and creative intelligence—operating at large scale and low latency across billions of ad events per day. You will contribute to modern ML/LLM capabilities and agentic workflows that automate and enhance campaign operations, with a strong focus on reliability, performance, and measurable business impact.

Key Responsibilities

• Machine Learning Delivery: Design, implement, and ship scalable ML solutions for core AdTech use cases (targeting, ranking, pacing, measurement). Own features end-to-end from experimentation to production rollout.
• ML System Design: Build and evolve the ML lifecycle—data preparation, training, evaluation, and real-time inference—ensuring models integrate cleanly with ad serving systems and meet low-latency, high-throughput requirements.
• Technical Contribution: Contribute to the AI/ML technical roadmap by evaluating tools and techniques (including deep learning, LLMs, and retrieval/feature systems). Make pragmatic trade-offs with an eye toward maintainability and operational excellence.
• AI & Agentic Applications: Develop and integrate LLM-powered features and agentic workflows that assist with campaign workflows such as audience insights, bid/budget recommendations, and creative generation—within well-defined guardrails.
• Cross-Functional Collaboration: Work closely with engineering, product, and data science partners to translate marketing objectives into ML-driven solutions, define success metrics, and deliver iterative improvements.
• Performance & Reliability: Operate ML services in a high-concurrency, latency-sensitive environment. Optimize inference paths, implement monitoring/alerting, manage model drift, and ensure safe deployment practices (A/B testing, canaries, rollbacks).
• Mentorship & Best Practices: Mentor and support other engineers through code/model reviews and knowledge sharing. Champion engineering rigor in testing, observability, documentation, and reproducible ML workflows.

Required Qualifications

• 5+ years of experience in software engineering and/or applied machine learning, with a track record of shipping ML systems to production.
• Experience designing and building high-throughput, low-latency services or data pipelines for large-scale applications.
• Working knowledge of the programmatic advertising ecosystem (DSP/SSP/RTB) is a plus; strong adjacent experience (recommendation, ranking, marketplaces) is also valued.
• Proficiency in at least one of Java, Go, or Python for backend services and ML tooling.
• Hands-on experience with ML frameworks (PyTorch or TensorFlow) and common modeling approaches (classification, ranking, embeddings, deep learning).
• Experience with big data and streaming frameworks (e.g., Spark, Kafka) for processing and analyzing large datasets.
• Experience deploying ML to cloud environments (preferably AWS) and operating services at scale.
• Familiarity with data stores (SQL/NoSQL) such as PostgreSQL/MySQL, Cassandra/DynamoDB, Redis, etc.
• Familiarity with containerization/orchestration (Docker, Kubernetes) and CI/CD practices.
• Strong communication skills and ability to collaborate across disciplines; comfort explaining technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience with Large Language Models (LLMs) and generative AI applied to advertising (e.g., ad copy generation, creative optimization, or personalized messaging).
• Experience designing and implementing agentic workflows that support autonomous or semi-autonomous decision-making with strong safety/observability guardrails.
• Experience with model serving and optimization for real-time inference (latency-critical environments).
• Familiarity with modern data lake and table formats (e.g., Apache Iceberg, Apache Hudi) for managing large-scale analytical datasets.
• Knowledge of microservices architecture and event-driven design patterns in distributed systems.
• Contributions to open-source projects, publications, or speaking engagements that demonstrate thought leadership in AI/ML are a plus.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability.

What You’ll Do

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals).
• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows.
• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve.
• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs).
• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost.
• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines.
• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.

Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.

Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling).

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs.
• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go).
• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale.
• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable).
• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus).
• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads.
• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs).
• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.

Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces.

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows.
• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).

Experience supporting ML feature stores, offline/online feature generation, or model training datasets.

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies.
• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing.
• Open-source contributions, publications, or conference speaking.
• BS/MS in CS/Engineering or equivalent practical experience.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

As a Staff Backend Engineer, you will be a highly technical individual contributor responsible for designing, building, and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. You’ll work closely with product managers, data scientists, and other engineering teams to translate business needs into technical solutions and ensure the platform is fast, fault-tolerant, and observable. This role is based in the United States and can be performed remotely, with a preference for candidates who can join us in a hybrid capacity in San Francisco, New York, or Atlanta.

Key Responsibilities

• System Architecture & Development: Lead the design and implementation of scalable, high-performance backend services, including microservices and APIs, that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.
• Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g., using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.
• Performance & Reliability: Ensure the backend systems are highly performant, resilient, and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring, logging, and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.
• Cross-Functional Collaboration: Work closely with cross-functional teams – including Product, Data Science, DevOps, and Frontend – to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.
• Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews, design discussions, and best practice adoption, fostering a culture of technical excellence and continuous improvement.
• Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services, streaming frameworks, database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap, making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.

Required Qualifications:

• 8+ years of software engineering experience building backend systems, with 3+ years in a senior or lead role (e.g. Staff Engineer, Principal Engineer) in the AdTech or a similar high-volume, low-latency domain.
• Proven track record in designing and building high-throughput, low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).
• Expertise in microservices architecture and distributed system design, including experience decomposing monoliths or building greenfield microservices with well-defined APIs.
• Proficiency in Java and Go for backend development, and experience with Python for scripting, automation, or data processing tasks.
• Hands-on experience with streaming data technologies and event-driven frameworks, such as Apache Kafka (or AWS Kinesis), and possibly stream processing frameworks (Spark Streaming, Flink, or similar, experience with Apache Kafka is highly desired).
• Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2, S3, Lambda, SNS/SQS, etc., and ability to design cost-effective, performant cloud architectures.
• Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB, Cassandra, Redis) for caching and fast lookups.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.
• Deep understanding of system observability and monitoring – experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus, Grafana, ELK stack or similar).
• Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.

Preferred Qualifications:

• Domain Expertise: Deep knowledge of the programmatic advertising ecosystem, including how Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), ad exchanges, and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.
• High-Scale Data Processing: Experience designing systems that operate at extreme scale, such as real-time auction systems or high-frequency trading platforms, and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).
• Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark, Hadoop, or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid, ClickHouse) is a plus.
• Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning, concurrency, GC optimization, network I/O) in large-scale Java or Go applications.
• Leadership in the Tech Community: A track record of contributing to open-source projects, technical publications, or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.
• Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or Ph.D. a plus), with strong foundations in algorithms and data structures.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

As a Staff Backend Engineer, you will be a highly technical individual contributor responsible for designing, building, and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. You’ll work closely with product managers, data scientists, and other engineering teams to translate business needs into technical solutions and ensure the platform is fast, fault-tolerant, and observable. This role is based in the United States and can be performed remotely, with a preference for candidates who can join us in a hybrid capacity in San Francisco, New York, or Atlanta.

Responsibilities:

• System Architecture & Development: Lead the design and implementation of scalable, high-performance backend services, including microservices and APIs, that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.
• Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g., using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.
• Performance & Reliability: Ensure the backend systems are highly performant, resilient, and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring, logging, and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.
• Cross-Functional Collaboration: Work closely with cross-functional teams – including Product, Data Science, DevOps, and Frontend – to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.
• Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews, design discussions, and best practice adoption, fostering a culture of technical excellence and continuous improvement.
• Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services, streaming frameworks, database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap, making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.

Required Qualifications:

• 8+ years of software engineering experience building backend systems, with 3+ years in a senior or lead role (e.g. Staff Engineer, Principal Engineer) in the AdTech or a similar high-volume, low-latency domain.
• Proven track record in designing and building high-throughput, low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).
• Expertise in microservices architecture and distributed system design, including experience decomposing monoliths or building greenfield microservices with well-defined APIs.
• Proficiency in Java and Go for backend development, and experience with Python for scripting, automation, or data processing tasks.
• Hands-on experience with streaming data technologies and event-driven frameworks, such as Apache Kafka (or AWS Kinesis), and possibly stream processing frameworks (Spark Streaming, Flink, or similar, experience with Apache Kafka is highly desired).
• Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2, S3, Lambda, SNS/SQS, etc., and ability to design cost-effective, performant cloud architectures.
• Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB, Cassandra, Redis) for caching and fast lookups.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.
• Deep understanding of system observability and monitoring – experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus, Grafana, ELK stack or similar).
• Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.

Preferred Qualifications:

• Domain Expertise: Deep knowledge of the programmatic advertising ecosystem, including how Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), ad exchanges, and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.
• High-Scale Data Processing: Experience designing systems that operate at extreme scale, such as real-time auction systems or high-frequency trading platforms, and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).
• Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark, Hadoop, or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid, ClickHouse) is a plus.
• Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning, concurrency, GC optimization, network I/O) in large-scale Java or Go applications.
• Leadership in the Tech Community: A track record of contributing to open-source projects, technical publications, or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.
• Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or Ph.D. a plus), with strong foundations in algorithms and data structures.

Company Profile:

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

Senior Database Solution Architect - MS SQL  (US/EST timezone)

Job Overview

As a Senior Database Solutions Architect, you will serve as a pre-sales specialist, supporting the broader sales organization with deep technical knowledge across database workloads. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solution Architect will have an active role in providing real world feedback to product teams to enhance the product, testing new features before they are released, and championing new features within the sales team. The Solutions Architect provides both immediate and long term impact with their technical knowledge and position of influence with prospects and customers.

Key Responsibilities

• Serve as a subject matter expert on Rubrik’s data protection and data security solutions, focussed on database workloads deployed either on-prem or in the cloud.
• Act as a trusted advisor on assigned opportunities, aligning Rubrik’s technology and roadmap with customer business objectives.
• Lead impactful product demonstrations, technical workshops, and solution presentations tailored for technical and executive-level audiences.
• Support customers based in North America; must be comfortable working in the US Eastern Time Zone (ET) timings: 5:30 PM to 2:30 AM
• Contribute to high-quality proposals, white papers, and responses to RFPs/RFIs.
• Collaborate with presales teams to design, execute, and troubleshoot proof-of-concepts (POCs), ensuring successful outcomes.
• Proactively identify technical challenges and architect creative solutions to overcome sales barriers.
• Translate complex customer requirements into clear, actionable technical strategies.
• Stay abreast of industry trends in data protection, security, database and cloud technologies, effectively positioning Rubrik’s solutions.
• Evangelize Rubrik’s offerings and clearly communicate strategic direction and product roadmap aligned with customer needs.
• Work closely with Product Management and Engineering to influence feature development based on customer feedback and market demands.
• Provide competitive intelligence and actionable insights from customer engagements to internal stakeholders.'

Qualifications

• 10+ years of successful experience in customer-facing technical sales or consulting roles focused on enterprise database technologies and cloud.
• Bachelor’s Degree in Computer Science, Engineering, or equivalent experience.
• Core expertise: Deep technical proficiency in the following areas:
• MS SQL Server: Architecting and managing large scale high-availability and disaster recovery (HADR) solutions. Including extensive experience with Always On Availability Groups (AG), Failover Cluster Instances (FCI), and log shipping.
• Cloud DBs: Design and management of Azure SQL, Azure SQL MI or Amazon RDS/Aurora or GCP CloudSQL
• Secondary Competencies: Proficiency or working knowledge of
• NoSQL/Distributed: MongoDB, Apache Cassandra.
• Relational DBs: Oracle, IBM DB2, Informix, PostgreSQL.
• Containerized DBs
• Proficiency in scripting languages such as Python, PowerShell, Go, or JavaScript.
• Excellent problem-solving capabilities, able to troubleshoot complex technical issues and deliver scalable solutions.
• Experience conducting benchmarks and performance testing on enterprise systems (preferred).
• Demonstrated sales acumen, capable of articulating technical value to C-level executives and technical audiences including database administrators.
• Strong cross-functional collaboration skills with sales, engineering, and product management.
• Exceptional communication skills, including compelling presentations and clear, concise writing.
• Proven experience with data center hardware/software, cloud platforms, data security solutions, IaaS, PaaS, or hypervisor software.
• Self-motivated and results-driven, comfortable working remotely with a high degree of autonomy.
• Flexible and willing to travel (approximately up to 20%) for client meetings and site visits.
• Work location: Bengaluru, India

Job Title: GenAI Developer/ Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
• Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
• Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It’s Like to Work at YipitData:

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

• Ownership That Matters: You’ll lead high-impact projects with real business outcomes
• Rapid Growth: We compress years of learning into months
• Merit Over Titles: Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention

Who Thrives Here?

We hire sprinters, not coasters—people who:

• Choose growth over comfort
• Lead through challenges
• Are energized by high expectations

It’s not for everyone, and that’s intentional. If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.

As the Senior Engineering Manager (Internal Title: Senior Manager, Application Engineering), You Will be Responsible for:

• ERP Data Specialist: You'll be the one implementing connectors to fetch and store the ERP data.  It's like building a bridge to a treasure trove of information. And not just that, you've got to ensure this data has high availability. So, whether it's the crack of dawn or the dead of night, the ERP data should be accessible without a hitch. It's your kingdom, and you're responsible for all related improvements. Make sure the data is stored efficiently and securely, and is always ready for action.
• Business-Tech Liaison: Understand the business requirements inside out. Jump right into discussions with the team and bring your A-game to design technical solutions. You'll be the one who bridges the gap between business needs and technical implementation.
• Backend API Master: Customers' requirements are constantly evolving, and that's where you come in. You'll be implementing or upgrading backend APIs to fit these new demands like a custom-made glove. Your work will be the driving force behind our ability to keep up with the market.
• System Maintenance and Architecture Champion: Maintain our existing services like a pro. Dive into iterative upgrades, deploy improvements, and take charge of service governance. Your work will be the glue that holds our services together and keeps them evolving. Build new foundational components that empower the team with strong, reliable core support.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!

This is a fully-remote opportunity based in India. Standard work hours are from 8 am to 5 pm IST.

You Are Likely To Succeed If you have:

• Bachelor's degree in Computer Science, or related majors, 8+ years overall experience.
• Solid computer foundation and programming skills, familiar with common data structures and algorithms.
• Excellent in one of the following languages: Python/Golang/Java (Python is the most preferred)
• Proficiency with messaging platforms (Kafka, RMQ, SQS) and relational/NoSQL datastores (MySQL, Postgres, MongoDB, Cassandra, ScyllaDB, HBase, Redis, Aerospike, etc.).
• Experience in architecture and developing large-scale distributed systems.
• Familiarity with microservice architecture, API gateway patterns, and service observability (logging, tracing, metrics).
• Proven track record building and operating systems with strict latency and reliability requirements in 24/7 environments, including:
  • High-performance, high-uptime (99.99%+) systems
  • Self-recoverable architectures
  • Container/VM orchestration platforms
  • Bonus: RPC frameworks (gRPC/Protobuf, Thrift)
• Strong architectural expertise with modern backend stacks (Go, Python, Java, Node.js) and cloud platforms (AWS/GCP/Azure, Kubernetes/Docker)
• Excellent logic analysis capabilities, able to abstract and split business logic reasonably.
• Strong ownership, self-motivation, and the ability to deliver independently while also collaborating effectively.
• Experience leading small engineering initiatives or mentoring junior developers(25-30%).
• Ability to clearly articulate complex technical concepts and org-wide strategies to engineers, cross-functional partners, and executives.

Nice to have (Optional)

• • Knowledge of security best practices, authentication/authorization, and performance tuning for high-traffic systems.

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary: 

• We care about your personal life, and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

Job Applicant Privacy Notice

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It’s Like to Work at YipitData:

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

• Ownership That Matters: You’ll lead high-impact projects with real business outcomes
• Rapid Growth: We compress years of learning into months
• Merit Over Titles: Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention

Who Thrives Here?

We hire sprinters, not coasters—people who:

• Choose growth over comfort
• Lead through challenges
• Are energized by high expectations

It’s not for everyone, and that’s intentional. If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.

As the Senior Engineering Manager (Internal Title: Senior Manager, Application Engineering), You Will be Responsible for:

• ERP Data Specialist: You'll be the one implementing connectors to fetch and store the ERP data.  It's like building a bridge to a treasure trove of information. And not just that, you've got to ensure this data has high availability. So, whether it's the crack of dawn or the dead of night, the ERP data should be accessible without a hitch. It's your kingdom, and you're responsible for all related improvements. Make sure the data is stored efficiently and securely, and is always ready for action.
• Business-Tech Liaison: Understand the business requirements inside out. Jump right into discussions with the team and bring your A-game to design technical solutions. You'll be the one who bridges the gap between business needs and technical implementation.
• Backend API Master: Customers' requirements are constantly evolving, and that's where you come in. You'll be implementing or upgrading backend APIs to fit these new demands like a custom-made glove. Your work will be the driving force behind our ability to keep up with the market.
• System Maintenance and Architecture Champion: Maintain our existing services like a pro. Dive into iterative upgrades, deploy improvements, and take charge of service governance. Your work will be the glue that holds our services together and keeps them evolving. Build new foundational components that empower the team with strong, reliable core support.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!

This is a fully-remote opportunity based in India. Standard work hours are from 8 am to 5 pm IST.

You Are Likely To Succeed If you have:

• Bachelor's degree in Computer Science, or related majors, 8+ years overall experience.
• Solid computer foundation and programming skills, familiar with common data structures and algorithms.
• Excellent in one of the following languages: Python/Golang/Java (Python is the most preferred)
• Proficiency with messaging platforms (Kafka, RMQ, SQS) and relational/NoSQL datastores (MySQL, Postgres, MongoDB, Cassandra, ScyllaDB, HBase, Redis, Aerospike, etc.).
• Experience in architecture and developing large-scale distributed systems.
• Familiarity with microservice architecture, API gateway patterns, and service observability (logging, tracing, metrics).
• Proven track record building and operating systems with strict latency and reliability requirements in 24/7 environments, including:
  • High-performance, high-uptime (99.99%+) systems
  • Self-recoverable architectures
  • Container/VM orchestration platforms
  • Bonus: RPC frameworks (gRPC/Protobuf, Thrift)
• Strong architectural expertise with modern backend stacks (Go, Python, Java, Node.js) and cloud platforms (AWS/GCP/Azure, Kubernetes/Docker)
• Excellent logic analysis capabilities, able to abstract and split business logic reasonably.
• Strong ownership, self-motivation, and the ability to deliver independently while also collaborating effectively.
• Experience leading small engineering initiatives or mentoring junior developers(25-30%).
• Ability to clearly articulate complex technical concepts and org-wide strategies to engineers, cross-functional partners, and executives.

Nice to have (Optional)

• • Knowledge of security best practices, authentication/authorization, and performance tuning for high-traffic systems.

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary: 

• We care about your personal life, and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

Job Applicant Privacy Notice

Overview: The Solution Engineer is a technically skilled professional who plays a critical role in enabling the Sales Engineering organisation to operate at maximum effectiveness. This role focuses on delivering high‑quality technical support for Sales Engineers by ensuring all assets and environments are maintained and ready for use, to advance and close opportunities efficiently. Proactively research and build innovative solutions and work closely with Solution Architects and Sales Engineers to ensure alignment, strengthen knowledge sharing and drive enablement  

What you will do:

• Collaborate with Solution Architects and Sales Engineers to identify relevant strategic solutions
• Design, build and maintain reuseable product demos, environments, solutions and technical assets
• Effectively communicate the value and/or advantages of solutions in both technical and business context
• Provide high-quality technical support to Sales and Sales Engineering as required

What we are looking for:

• Experience supporting geographically distributed Sales Engineering teams
• Proficiency in creating custom demos, POCs and technical environments
• Minimum of two-years of experience in customer-facing technical roles
• Experience using LLMs (e.g. Claude, GPT, Gemini)
• Programing experience, any language
• Knowledge of hyperscalers (AWS, GCP, Azure) and Linux/Windows
• Minimum of two-years of experience working with data-management cloud applications such as Databricks or Snowflake
• Working knowledge of data-intensive applications including Matillion, Informatica, Talend
• Familiarity with data disciplines; Governance, Quality, MDM, Observability
• Experience with major DBMS systems such as Oracle, DB2, SQL Server, Cassandra, MongoDB
• Excellent written and verbal communication skills, with the ability to translate technical concepts into customer‑friendly language
• Travel is required: No
• Bachelor of Science in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or other related technology disciplines. (Candidates with other degrees will be considered if they are able to demonstrate sufficient technical proficiency and expertise.)

#LI-SR1

About you

We’re looking for people with a strong background or interest in building successful products or systems; you’re comfortable in dealing with lots of moving pieces; you have exquisite attention to detail; and you’re comfortable learning new technologies and systems.

The Opportunity

We have backend engineers in almost every team across Telnyx, and in that role, you’ll be making some of the most significant decisions for the company. You’ll get to work with other engineers to build delightful features that span various parts of the system, as well as our business, sales, and operations teams to understand and solve our users’ pain points.

• Design, build, and maintain APIs, services, and systems across Telnyx’s engineering teams.
• Debug production issues across services and multiple levels of the stack.
• Work with engineers across the company to build new features at large scale.
• Improve engineering standards, tooling, and processes.

What We're Looking For

• Have 6+ years of professional software development experience with a functional programming language (Elixir/Erlang is preferred).
• Have experience working with relational databases at scale.
• Have deep knowledge of microservice architecture patterns and anti-patterns.
• Have experience with message queues like RabbitMQ and Kafka.
• Understand the challenges inherent in concurrent and distributed programming.
• Have experience with more exotic databases/key-value stores such as ETS, Mnesia, Cassandra and Redis.
• Have familiarity with Docker, Kubernetes, Consul, Jenkins, Prometheus, or RabbitMQ.

Bonus Points For

• You take a thoughtful approach to decision-making, knowing when to move fast and when to long-term optimize.
• You want to work in a fast-paced, product-driven environment.
• You keep up to date with the latest technologies and patterns and enjoy sharing what you’ve learned.

#LI-VIETNAM
#LI-KG1

Senior Database Solution Architect - Oracle (US/EST timezone)

Job Overview

As a Senior Database Solutions Architect, you will serve as a pre-sales specialist, supporting the broader sales organization with deep technical knowledge across database workloads. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solution Architect will have an active role in providing real world feedback to product teams to enhance the product, testing new features before they are released, and championing new features within the sales team. The Solutions Architect provides both immediate and long term impact with their technical knowledge and position of influence with prospects and customers.

Key Responsibilities

• Serve as a subject matter expert on Rubrik’s data protection and data security solutions, focussed on database workloads deployed either on-prem or in the cloud.
• Act as a trusted advisor on assigned opportunities, aligning Rubrik’s technology and roadmap with customer business objectives.
• Lead impactful product demonstrations, technical workshops, and solution presentations tailored for technical and executive-level audiences.
• Support customers based in North America; must be comfortable working in the US Eastern Time Zone (ET)
• Contribute to high-quality proposals, white papers, and responses to RFPs/RFIs.
• Collaborate with presales teams to design, execute, and troubleshoot proof-of-concepts (POCs), ensuring successful outcomes.
• Proactively identify technical challenges and architect creative solutions to overcome sales barriers.
• Translate complex customer requirements into clear, actionable technical strategies.
• Stay abreast of industry trends in data protection, security, database and cloud technologies, effectively positioning Rubrik’s solutions.
• Evangelize Rubrik’s offerings and clearly communicate strategic direction and product roadmap aligned with customer needs.
• Work closely with Product Management and Engineering to influence feature development based on customer feedback and market demands.
• Provide competitive intelligence and actionable insights from customer engagements to internal stakeholders.

Qualifications

• 10+ years of successful experience in customer-facing technical sales or consulting roles focused on enterprise database technologies and cloud.
• Bachelor’s Degree in Computer Science, Engineering, or equivalent experience.
• Core expertise: Deep technical proficiency in at least two of the following areas:
• Oracle Stack: Oracle RAC with ASM, Pluggable databases, Data Guard, Golden Gate, Exadata and ExaCC/CS
• Cloud DB Architectures: Design and management of IaaS/PaaS databases within major cloud ecosystems (OCI, AWS, Azure, or GCP).
• Secondary Competencies: Proficiency or working knowledge of
• NoSQL/Distributed: MongoDB, Apache Cassandra.
• Relational DBs: SQL Server, IBM DB2, Informix, PostgreSQL.
• Proficiency in scripting languages such as Python, PowerShell, Go, or JavaScript.
• Excellent problem-solving capabilities, able to troubleshoot complex technical issues and deliver scalable solutions.
• Experience conducting benchmarks and performance testing on enterprise systems (preferred).
• Demonstrated sales acumen, capable of articulating technical value to C-level executives and technical audiences including database administrators.
• Strong cross-functional collaboration skills with sales, engineering, and product management.
• Exceptional communication skills, including compelling presentations and clear, concise writing.
• Proven experience with data center hardware/software, cloud platforms, data security solutions, IaaS, PaaS, or hypervisor software.
• Self-motivated and results-driven, comfortable working remotely with a high degree of autonomy.
• Flexible and willing to travel (approximately up to 20%) for client meetings and site visits.
• Work location: Bengaluru, India

FEQ227R53

As a Senior Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems

Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. 
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• 8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Strong consulting / customer facing experience , working with external clients across a variety of industry markets
• Coding experience in Python, R, Java, Apache Spark™ or Scala
• Experience building distributed data systems
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Available to travel to customers in your region
• Nice to have: Databricks Certification

Senior Database Engineer III (MySQL) – Production Reliability & Platform Engineering

Location : Bangalore

Work Timings: 2 PM to 11 PM IST

LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world's leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world.

Job Description: Senior MySQL Database Engineer - 8+ Years Experience.

Please apply only if you have 8 plus years of experience. Profiles with less than 8 years of experience will be rejected.

Position Overview:

We are seeking a Senior MySQL Database Engineer (L3) with 8+ years of experience managing large-scale production database environments. This role combines deep technical expertise with strategic thinking, focusing on production reliability, platform engineering, automation, and architectural evolution.

The ideal candidate will be a technical leader who can design scalable database solutions, mentor team members, drive automation initiatives, and own complex production systems. You will work with CloudSQL on GCP, lead migration projects, implement SRE best practices, and collaborate across engineering teams to ensure database reliability at scale.

This role includes participation in 24/7 on-call rotations to ensure continuous support for our critical MySQL infrastructure.

Responsibilities:

Production Reliability & Platform Engineering

• Own and architect high-availability MySQL database platforms supporting critical business systems.
• Design and implement multi-region replication strategies, disaster recovery architectures, and zero-downtime migration patterns.
• Lead incident response for critical database outages, coordinate cross-functional teams, and drive post-incident reviews.
• Define and track database SLIs/SLOs, establish reliability metrics, and implement continuous improvement programs.
• Drive capacity planning at scale, forecast growth patterns, and architect for horizontal and vertical scaling.
• Establish database standards, operational runbooks, and best practices across the organization.

Automation & Infrastructure as Code

• Lead automation initiatives to eliminate toil and improve operational efficiency.
• Design and implement database provisioning platforms using Terraform and configuration management tools.
• Build self-service workflows for database creation, schema migrations, and routine operations.
• Architect and implement GitOps-driven database deployments integrated with CI/CD pipelines.
• Develop custom tooling and automation frameworks for database operations (Python, Go, or Bash).
• Drive adoption of infrastructure as code practices across database teams.

Cloud & Hybrid Architecture

• Lead CloudSQL (GCP) operations at scale, including advanced configurations, HA setups, and cross-region deployments.
• Design and execute cloud migration strategies from on-premises to GCP (or hybrid architectures).
• Implement multi-cloud or hybrid-cloud database strategies where applicable.
• Optimize cloud costs through right-sizing, reserved instances, and architectural improvements.
• Work with GCP native services (Cloud Monitoring, Secret Manager, VPC, IAM) for secure and scalable deployments.

Performance Engineering & Optimization

• Lead performance engineering initiatives including query optimization, indexing strategies, and schema design reviews.
• Conduct advanced troubleshooting of complex performance issues across application and database layers.
• Perform deep-dive analysis using tools like pt-query-digest, Percona Toolkit, and performance_schema.
• Design database sharding and partitioning strategies for scalability.
• Review and optimize backup/restore strategies for RTO/RPO requirements.

Observability & Reliability Engineering

• Design and implement comprehensive monitoring and alerting frameworks (Prometheus, Grafana, Cloud Monitoring).
• Build custom dashboards and SLO tracking for database reliability metrics.
• Implement proactive monitoring to detect issues before they impact production.
• Establish observability standards including logging, tracing, and metrics collection.

Technical Leadership & Mentorship

• Mentor L1/L2 database engineers on technical skills, troubleshooting methodologies, and best practices.
• Conduct code reviews, design reviews, and knowledge-sharing sessions.
• Drive technical decision-making for database architecture and tooling choices.
• Collaborate with application teams, SRE teams, and platform engineers on cross-functional projects.
• Represent database engineering in architectural discussions and technical forums.

Distributed Systems & Data Infrastructure (Good to Have)

• Work with Elasticsearch for search and analytics workloads.
• Support Kafka-based data pipelines and event-driven architectures.
• Integrate databases with Kubernetes-based application platforms.
• Collaborate on data platform initiatives involving data lakes, streaming, and analytics.

Required Qualification:

• 8+ years of hands-on MySQL DBA/Engineering experience in production environments.
• Expert-level knowledge of MySQL architecture, replication (async, semi-sync, GTID), performance tuning, and troubleshooting.
• 4+ years managing Cloud SQL on GCP, including HA configurations, read replicas, and backup strategies.
• 4+ years of Infrastructure as Code experience (Terraform strongly preferred), including module development and state management.
• 4+ years with configuration management tools (Ansible, Chef, or Puppet) in production environments.
• Proven experience building and maintaining CI/CD pipelines for database changes and schema migrations.
• Strong programming/scripting skills (Python, Bash, or Go) for automation and tooling development.
• Deep Linux system administration skills and understanding of OS-level performance tuning.
• Experience with monitoring and observability tools (Prometheus, Grafana, ELK, or similar).
• Demonstrated leadership in incident response, including on-call rotations and post-mortem facilitation.
• Experience supporting large-scale production systems with strict uptime requirements (99.9%+).

Preferred Qualifications:

• Production experience with Elasticsearch (cluster management, indexing strategies, performance tuning).
• Hands-on experience with Kafka (topics, partitions, consumer groups, integration patterns).
• Led or participated in large-scale cloud migration projects (on-prem to cloud or cloud-to-cloud).
• Experience with Kubernetes and containerized database workloads (StatefulSets, operators).
• Familiarity with PostgreSQL or other RDBMS platforms.
• Experience with database security (encryption, IAM, audit logging, compliance).
• Knowledge of distributed databases or NoSQL systems (Cassandra, MongoDB, etc.).
• Exposure to data engineering tools (Airflow, dbt, Spark) and modern data architectures.
• Certifications: GCP Professional Database Engineer, MySQL Certification, or equivalent.

Benefits:

• Personal time off 15 days - Casual (6) days & Sick Days (6)
• Medical Insurance: 8 Lakhs Family Floater that covers employee, spouse, 3 children and parents or In-laws
• Group Personal Accident: 3x of the employee’s Gross Salary
• Group Term Life: 3x of the employee’s Gross Salary
• Volunteering Days – Use them to make a difference in your community. Whether it's a cleanup, supporting a local initiative or holding an “Ehrenamt”, just let us know! We're here to help you create a meaningful impact.

Financial & Growth

• Employee Stock Program (ESPP): Participate in our Employee Stock Participation Program and receive a discount on company shares, allowing you to share in LivePerson's success.
• Learning & Development: We actively support your professional journey with robust programs for growth and learning development, including allocated stipends, ensuring you reach your full potential.

Why You’ll Love Working Here

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.

Belonging at LivePerson

We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer. We believe that diverse perspectives drive innovation. 

Accessibility Commitment

LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable adjustments to job applicants with disabilities. Applicants who require a reasonable adjustment for any part of the application or hiring process should inform their recruiting contact upon initial connection.

Important Candidate Notice

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. This phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.

Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson  employee with an @liveperson.com email address.

LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

About Druva 

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

Visit druva.com and follow us on LinkedIn, X and Facebook.

The Role
We are looking for a highly skilled SDET to join our Agile development team. In this role, you will not just test software; you will deconstruct complex features to understand their design, build robust automation frameworks, and ensure the resilience of our cloud-based backup solutions.
You will work closely with developers to perform white-box and black-box testing, owning the quality of features from conception to deployment.

Required Skills & Qualifications

Operating Systems & Core Concepts:

• Proficiency in Windows and Linux OS.
• Deep understanding of Threading, Multiprocessing, and Socket Programming.
• Strong knowledge of Networking protocols and Cloud Architecture.

Programming & Scripting:

• Strong proficiency in one or more high-level languages: Python, Golang.
• Experience with SQL databases.

Testing & Tools:

• Expertise in RESTful API testing.
• Proficiency with bug and test management tools (e.g., Jira, XRay).
• Familiarity with Agile testing methodologies and quality metrics.
• Strong analytical, troubleshooting, and debugging capabilities.

Version Control:

• Proficiency with Git or SVN.

Pluses (Nice to Have)

• Familiarity with virtualization technologies (e.g., VMware).
• Experience with NoSQL databases (e.g., MongoDB, Cassandra).

Key Responsibilities

• Agile Collaboration: Work closely with the development team in an Agile environment to understand functional specifications and design requirements.
• Test Planning: Independently create comprehensive feature test plans aligned with development milestones and feature completion.
• Automation Frameworks: Leverage existing automation frameworks to automate feature tests and actively augment libraries to support new functionalities.
• End-to-End Ownership: Own the complete test execution cycle for user stories, ensuring high-quality delivery.
• Testing Strategy: Perform a mix of automated, manual, white-box, and black-box testing.
• Infrastructure Management: Create, maintain, and document testbed setups and environments.
• Quality Assurance: Timely reporting, tracking, and updating of issues and test cases using management tools.
• Cross-Functional Delivery: Collaborate with cross-functional teams to ensure quality benchmarks are met throughout the development lifecycle.

Qualification:

• B.Tech / B.E / M.E./ M.Tech (Computer Science) or equivalent.

Experience : 3-6 Years 

FEQ427R107

As a Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems

Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.

This is a Hybrid role, based in Mumbai. 

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. 
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• 8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Strong consulting / customer facing experience , working with external clients across a variety of industry markets
• Coding experience in Python, R, Java, Apache Spark™ or Scala
• Experience building distributed data systems
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Available to travel to customers in your region
• Nice to have: Databricks Certification

Software Development Engineer III - Java Backend Engineer

India (Remote/Hyderabad)

Work Timings 2 PM to 11 PM IST 

LivePerson (NASDAQ: LPSN) is a leading customer engagement company, creating digital experiences powered by Curiously Human AI. Every person is unique, and our technology makes it possible for companies, including leading brands like HSBC, Orange, and GM Financial, to treat their audiences that way at scale. Nearly a billion conversational interactions are powered by our Conversational Cloud each month.

You'll be successful at LivePerson if you are excited to build something from the ground up. You excel by finding daily opportunities to grow at the same pace as the technology we're building, and you build partnerships that improve our business. Likewise, you're someone who sees feedback as a chance to learn and grow and believe decisions powered by data are the norm. You care about the well-being of others and yourself.

Job Description: Senior Software Engineer (Java, Python, Cloud Native, Generative AI) - 8+ Years Experience from a Product Based IT Company

Overview:

We are looking for a highly motivated and experienced Senior Java Engineer to join our engineering team. In this high-impact role, you will own the design and implementation of significant portions of our product development, specifically working with our Bots & Automation team to build a next-generation bot runtime platform.

You will serve as a technical leader and mentor for a small team of engineers, driving best practices in distributed systems and software architecture. If you have a passion for building reliable, scalable, and high-performance services and possess exceptional technical expertise, we want to hear from you.

Responsibilities:

• Technical Leadership & System Design: Own the design and implementation of critical backend components. You will build high-volume, low-latency applications for mission-critical systems, ensuring high availability and performance.
• Next-Gen Platform Development: Collaborate closely with the Bots & Automation team to architect and build a next-generation bot runtime platform.
• Distributed Systems Engineering: Create reliable, scalable, and high-performance services. Your work will require a deep understanding of Computer Science fundamentals and practical experience building large-scale distributed systems.
• API Design: Design and develop secure, scalable REST-based backend services.
• Mentorship: Serve as a leader and mentor to other engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Debug production issues, maintain existing codebases, and ensure the stability of the platform. You will participate in on-call rotations to support mission-critical services.
• Documentation & Compliance: Develop technical specifications, architecture documentation, and ensure all software complies with strict security standards.

Qualification:

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• Solid understanding of Data Structures and Algorithm Design
• Strong programming skills in Java with good knowledge of multi-threading.
• Expert-level knowledge of Databases (SQL, NoSQL) like Cassandra, MySQL
• Experience with Data Processing frameworks like Kafka, Airflow, Apache Spark, Hadoop
• Experience building REST APIs and debugging distributed microservice-based applications
• Experience in Kubernetes
• Experience with Git, Jenkins, and other Development tools
• Experience with NodeJS & Python is a plus
• Cloud expertise in either Google Cloud Platform (GCP) or Amazon Web Services (AWS)

Benefits:

• Personal time off 15 days - Casual (6) days & Sick Days (6)
• Medical Insurance: 8 Lakhs Family Floater that covers employee, spouse, 3 children and parents or In-laws
• Group Personal Accident: 3x of the employee’s Gross Salary
• Group Term Life: 3x of the employee’s Gross Salary
• Volunteering Days – Use them to make a difference in your community. Whether it's a cleanup, supporting a local initiative or holding an “Ehrenamt”, just let us know! We're here to help you create a meaningful impact.

Financial & Growth

• Employee Stock Program (ESPP): Participate in our Employee Stock Participation Program and receive a discount on company shares, allowing you to share in LivePerson's success.
• Learning & Development: We actively support your professional journey with robust programs for growth and learning development, ensuring you reach your full potential.

Why You’ll Love Working Here

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.

Belonging at LivePerson

We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer. We believe that diverse perspectives drive innovation. 

Accessibility Commitment

LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable adjustments to job applicants with disabilities. Applicants who require a reasonable adjustment for any part of the application or hiring process should inform their recruiting contact upon initial connection.

Important Candidate Notice

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. This phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.

Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson  employee with an @liveperson.com email address.

LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

At Rockstar Games, we create world-class entertainment experiences.   

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly motivated environment where you can learn and collaborate with some of the most talented people in the industry.    

Rockstar is seeking a Senior Data Engineer to join our online services team, building an innovative game analytics platform and tools to better understand our players and enhance their experience across our titles.   

This is a full-time, in-office position based in Rockstar’s large game development studio in Bangalore, India.

WHAT WE DO

• The Rockstar Games Data Engineering team provides insights and actionable results to a wide variety of teams across the organization in support of their decision making.  
• We work with petabyte-scale data in Azure and Databricks, building both real-time and batch pipelines that power analytics, machine learning, and player experience improvements.  

RESPONSIBILITIES

• Design, build, and own real-time and batch data pipelines in Azure Databricks using Spark, Airflow, and modern orchestration and build tools.   
• Drive engineering excellence by implementing robust testing practices (unit, integration), code review standards, and CI/CD automation.
• Implement automated data quality frameworks and validation of pipelines.
• Build observability systems to monitor data integrity, drift, and system health. Troubleshoot complex data infrastructure and pipeline issues.
• Design analytics-ready datasets that power business intelligence and operational reporting.
• Partner with diverse stakeholders (including Data Scientists, Analysts, and ML Engineers) to define use cases and build robust data products.
• Translate large datasets into actionable insights for leadership and product teams.
• Explore emerging technologies including modern data platforms, distributed computing frameworks, build proof-of-concept solutions, and continuously improve platform scalability, performance, and cost efficiency 

REQUIREMENTS

• 6+ years’ experience in building data pipelines, distributed systems, or large scale data platforms on major clouds (Azure preferred).  
• Strong software engineering fundamentals: design patterns, testing strategies (unit, integration) code review practices, system design thinking Experience with big data frameworks such as Spark or Databricks.
• 4+ years’ experience using Python for maintainable, testable data engineering and Spark or Databricks for large scale processing.  
• Experience with workflow orchestration tools such as Airflow. 
• Experience with streaming technologies, notably Kafka, in distributed environments.  
• Proven work handling high volume structured and unstructured data (logs, telemetry, text) at scale.  
• Familiarity with AWS, Azure, or GCP data services and building cloud native data architectures.  
• Cross functional collaborator with strong communication skills for explaining complex systems to technical and non technical audiences.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Databricks platform experience (Delta Lake, Unity Catalog, Workflows).  
• Containerization and orchestration (Docker, Kubernetes). 
• Experience with Snowflake, Cassandra, or other modern data platforms.
• Experience building, maintaining, or scaling ML infrastructure.
• Experience with CI/CD and deployment tools (TeamCity, Octopus) and Artifact Repositories (JFrog, Proget).
• Experience with Terraform.
• Gaming industry experience or passion for games.  

HOW TO APPLY

Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.  

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-RN1

FEQ227R52

As a Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups
• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Strong consulting / customer facing experience , working with external clients across a variety of industry markets
• Core strength in either data engineering or data science technologies
• 8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding
• 8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)
• 6+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Coding experience in Python, R, Java, Apache Spark™ or Scala

About the Role

We are actively looking for a Senior Software Engineer with experience working with Auth Systems, Security & Google Cloud Platform, to join our team. Five9 delivers market-leading up-time for its Contact Center application while constantly delivering new features and capabilities to highly demanding enterprise customers. This requires that Five9 continually enhances, updates and modernizes the Platform Services that the Contact Center Application runs on. This position requires excellent understanding of cloud software: how it's built, deployed, tested and managed.

Key Responsibilities

• Contribute to the next generation of Five9’s modern SaaS platform enabling AI-driven customer engagement.

• Design and develop highly available, scalable, and reliable microservices infrastructure.

• Build and enhance Identity & Access Management (IAM) systems supporting OAuth, security tokens, SSO, federation, and customer/partner identities.

• Apply cloud and open-source technologies to solve complex platform challenges.

• Gain deep understanding of existing systems and contribute to architectural improvements.

• Troubleshoot production issues and provide operational support across the software stack.

• Collaborate with cross-functional engineering teams and drive technical excellence.

Required Skills & Experience

• 7+ Years of related experience.

• Strong expertise in Java, APIs, Spring Security, and Web Authentication.

• Hands-on experience with SSO, SAML, OAuth, Federation, IDP, and CI/CD for identity platforms.

• Experience managing Ping Identity (architecture, configuration, and operations).

• Ownership of production uptime, reliability, SLAs/SLOs, and incident response.

• Participation in 24/7 on-call rotation for identity-related systems.

• Experience in performance tuning microservices and database queries.

• Familiarity with distributed databases such as CockroachDB or Cassandra.

• Experience with cloud platforms (GCP preferred).

Good to Have

• Experience with Okta IAM.

• Exposure to large-scale SaaS environments and platform modernization initiatives.

Business Overview 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com. 

Position Summary

We are looking for experienced Data Engineer to manage in-progress and upcoming data infrastructure projects. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder using Python and data wrangler who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

Responsibilities

• Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements using Python and SQL / AWS / Snowflakes.
• Identify, design, and implement internal process improvements through automating manual processes using Python, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL / AWS / Snowflakes technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
•  Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. 
• Work with data and analytics experts to strive for greater functionality in our data systems

Required Skills & Experience

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. 
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. 
• Strong analytic skills related to working with unstructured datasets. 
• Build processes supporting data transformation, data structures, metadata, dependency and workload management. 
• A successful history of manipulating, processing and extracting value from large, disconnected datasets.

Desired Skills & Experience

• 3+ years of experience in a Python Scripting and Data specific role, with bachelor's degree. 
• Experience with data processing and cleaning libraries e.g. Pandas, numpy, etc., web scraping/ web crawling for automation of processes, API’s and how they work. 
• Debugging code if it fails and find the solution. Should have basic knowledge of SQL server job activity monitoring and of Snowflake. 
• Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra. 
• Experience with most or all the following cloud services: AWS, Azure, Snowflake, Google Strong project management and organizational skills. 
• Experience supporting and working with cross-functional teams in a dynamic environment.

We See You  

At IPG Mediabrands, we are unified behind a commitment to fostering a culture of inclusion and belonging. Together, we shine through a set of shared values and behaviors. We take pride in our responsibility to our clients, communities, and to each other. We embrace differences and recognize the unique value that each of us brings to our community.  

We encourage you to apply, as unique backgrounds, perspectives, and lived experiences are welcomed.   

We See You at IPG Mediabrands. 

About IPG Mediabrands 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com.  

Business Overview 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com. 

Position Overview 

We are looking for a savvy Reporting and Analytics Manager to manage in-progress and upcoming data infrastructure projects. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder using Python and data wrangler who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

Responsibilities

Create and maintain optimal data pipeline architecture, assemble large, complex data setsthat meet functional / non-functional business requirements using Python and SQL / AWS / Snowflakes.

 • Identify, design, and implement internal process improvements through: automating manual processes using Python, optimizing data delivery, re-designing infrastructurefor greater scalability, etc.

• Build the infrastructure required for optimal extraction, transformation, and loading ofdata from a wide variety of data sources using SQL / AWS / Snowflakes technologies.

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

• Work with stakeholders including the Executive, Product, Data and Design teams toassist with data-related technical issues and support their data infrastructure needs. 

• Keep our data separated and secure across national boundaries through multiple datacenters and AWS regions.

• Work with data and analytics experts to strive for greater functionality in our data systems.

Experience :- • 

6+ years of experience in a Python Scripting and Data specific role, with bachelor’s degree.

• Experience with data processing and cleaning libraries e.g. Pandas, numpy, etc., web scraping/ web crawling for automation of processes, API’s and how they work.

• Debugging code if it fails and find the solution. Should have basic knowledge of SQLserver job activity monitoring and also of Snowflake.

• Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra.

• Experience with most or all of the following cloud services: AWS, Azure, Snowflake, Google 

We See You  

At IPG Mediabrands, we are unified behind a commitment to fostering a culture of inclusion and belonging. Together, we shine through a set of shared values and behaviors. We take pride in our responsibility to our clients, communities, and to each other. We embrace differences and recognize the unique value that each of us brings to our community.  

We encourage you to apply, as unique backgrounds, perspectives, and lived experiences are welcomed.   

We See You at IPG Mediabrands. 

About IPG Mediabrands 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com.  

About Nanonets

Nanonets has a vision to help computers see the world starting with reading and understanding documents.Machine Learning (ML) is no longer a futuristic concept—it's a present-day powerhouse transforming the business landscape. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make document related processes faster than ever before.

From automating data extraction processes to enhancing reconciliation, our solutions are designed to revolutionize workflows, optimize operations, and unlock untapped potential for our clients. Our client footprint spans across brands such as Toyota, Boston Scientific, Bill.com and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data

We recently announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital & YCombinator. This infusion of capital underscores our commitment to driving innovation and expanding our reach in delivering cutting-edge AI solutions to businesses worldwide.

Read about the release here: Forbes | TechCrunch

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

About the role

We’re looking for a technically strong, customer-facing problem solver to bridge product, engineering, and go-to-market teams. In this role, you’ll support the sales process by building tailored demos, validating technical requirements, and translating customer needs into practical workflows and solutions. You’ll work closely with Sales, Product, and Customer Success to ensure a smooth journey from discovery to onboarding, while also prototyping quick solutions to accelerate deal cycles.

What You’ll Do

• Build and customize high-impact customer demos by setting up tailored environments and workflows aligned to each prospect’s use case, including configuring agents, integrations, and realistic sample data.
• Partner closely with Sales on customer-facing calls to showcase technical capabilities, answer implementation questions, and translate product features into clear, customer-specific workflows and ROI narratives.
• Drive technical validation during discovery by deeply understanding customer requirements, assessing feasibility, and evaluating integration needs across systems such as EHRs, payer portals, telephony platforms, and APIs.
• Proactively identify edge cases, potential blockers, and any custom work required early in the sales cycle to ensure smooth downstream execution.
• Support activation and onboarding by collaborating with Activation/Customer Success and Product teams to deploy custom agents, configure workflows, fine-tune prompts, and assist with initial QA/UAT.
• Own rapid prototyping efforts by building lightweight workflows or custom solutions that help accelerate deal cycles and bridge gaps until fully productized features are available.

Required Qualifications -

• B.E/B.Tech or from a Tier 1 school.
• Minimum 2 years in a technical role.

Need to Have:

• Python
• Relational Database (any major DB)
• Understanding of APIs
• Git version control
• Excellent written & verbal communication skills

Good to Have:

• Experience with React, NodeJS, Golang, Cassandra, Kubernetes, Docker
• Exceptional verbal and written communication skills, including the ability to work with technical and non-technical audiences; as well as communicate effectively to individual contributors, management, and executive leadership.
• Strong communications skills, with the distinctive ability to empower and influence people without authority or a direct reporting relationship.

The opportunity:

Hybris Developer required to work in an experienced team of software architects and developers, to be responsible for the design, development and testing of quality code to meet customer driven specifications.

What you’ll be doing:

• Working within a project team, to deliver high quality code to deadlines.
• To clearly communicate what is to be done and the milestones achieved to those within the project in an agreed manner.
• To realistically estimate your own delivery timescales.
• To solve problems posed using the tools and materials provided or to suggest alternatives where appropriate.
• To create robust solutions using the tools and materials provided or to suggest alternatives where appropriate
• Take some responsibility from and can deputise for the senior/lead developer.
• Lead small technical discussions on problem solving and solution design.
• To mentor junior developers.
• To be a motivated self-starter.

What we want from you:

• Extensive Hybris development experience (ideally 2011 +)
• Extensive experience coding in Java language (Java17 +)
• Experience with Data structures
• Exposure to Web technologies
• Object oriented software design patterns experience
• Some understanding of HTML5, CSS and JavaScript
• Familiarity with Windows or Linux operating system
• Strong spoken and written communication

If you know some of this even better:

• Experience of delivering software as part of a team
• Experience of Spring
• Knowledge of JavaScript, front end technologies
• Knowledge of other JVM based languages - Groovy, Scala, Clojure
• Knowledge of one or more scripting languages, such as Groovy, Python
• Knowledge of webservices technologies such as SOAP, REST, JSON
• Knowledge of relational database platforms Oracle, SQL Server, MySQL
• Knowledge of NoSQL database platforms such as Cassandra or MongoDB
• Knowledge of message queuing systems such as Apache Kafka or RabbitMQ
• Contributions to open source projects

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our personality and behaviours: We believe that we are what we do, not just what we say. Our shared values and behaviours show how to bring the VML Enterprise Solution's culture to life through the actions we all take every day:

• Connect Meaningfully
• Inspire Creatively
• Include Purposefully
• Approach Positively

Our brilliant, talented people are what makes VML Enterprise Solutions what we are. That’s why we look for people who go beyond and always push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

This is a work-from-office / In-Office role based in our Hyderabad, India location.

Responsibilities:

• API Development: Design, implement, and maintain RESTful and gRPC APIs powering internal and external applications.
• Cloud Microservices: Architect and deploy scalable microservices in AWS/GCP/Azure using Kubernetes and modern DevOps practices.
• Data Pipelines: Build real-time and batch data pipelines, ensuring data accuracy, performance, and observability (EMR on EKS).
• Collaboration: Partner with cross-functional squad members to deliver features end-to-end, from concept to production.
• System Reliability: Optimize services for scalability, resilience, and high availability.
• Engineering Excellence: Contribute to architecture discussions, enforce coding standards, and drive best practices in CI/CD, testing, and monitoring.
• Security: Embed security and compliance into backend systems and data workflows.

Qualifications:

• Strong proficiency in Scala, Go, or Java and Python (experience with multiple is a plus).
• Proven experience with distributed systems, microservices, and event-driven architectures.
• Fundamental understanding of computer networking (including Wi-Fi), operating system, and database
• Hands-on expertise in cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
• Experience with Akka Streams/ Akka Actors.
• Familiarity with data engineering (ETL pipelines, real-time streaming with Kafka/Pulsar, batch processing frameworks).
• Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra, DynamoDB).
• Solid knowledge of CI/CD pipelines, testing frameworks, observability tools (Grafana, Prometheus, ELK).
• Strong problem-solving skills and the ability to thrive in an agile, squad-based environment.

Nice To Have:

• Functional programming experience in Scala.
• Experience with caching layers, distributed storage, and message queues.
• Familiarity with AI-powered developer tools such as ChatGPT, Cursor, GitHub Copilot, or similar to boost productivity.
• Contributions to open-source projects or personal projects showcasing backend innovation.

About the Role

We are actively looking for a Senior Software Engineer with experience working with Auth Systems, Security & Google Cloud Platform, to join our team. Five9 delivers market-leading up-time for its Contact Center application while constantly delivering new features and capabilities to highly demanding enterprise customers. This requires that Five9 continually enhances, updates and modernizes the Platform Services that the Contact Center Application runs on. This position requires excellent understanding of cloud software: how it's built, deployed, tested and managed.

Key Responsibilities

• Contribute to the next generation of Five9’s modern SaaS platform enabling AI-driven customer engagement.

• Design and develop highly available, scalable, and reliable microservices infrastructure.

• Build and enhance Identity & Access Management (IAM) systems supporting OAuth, security tokens, SSO, federation, and customer/partner identities.

• Apply cloud and open-source technologies to solve complex platform challenges.

• Gain deep understanding of existing systems and contribute to architectural improvements.

• Troubleshoot production issues and provide operational support across the software stack.

• Collaborate with cross-functional engineering teams and drive technical excellence.

Required Skills & Experience

• Strong expertise in Java, APIs, Spring Security, and Web Authentication.

• Hands-on experience with SSO, SAML, OAuth, Federation, IDP, and CI/CD for identity platforms.

• Experience managing Ping Identity (architecture, configuration, and operations).

• Ownership of production uptime, reliability, SLAs/SLOs, and incident response.

• Participation in 24/7 on-call rotation for identity-related systems.

• Experience in performance tuning microservices and database queries.

• Familiarity with distributed databases such as CockroachDB or Cassandra.

• Experience with cloud platforms (GCP preferred).

Good to Have

• Experience with Okta IAM.

• Exposure to large-scale SaaS environments and platform modernization initiatives.

Overview
We are seeking a highly skilled Software Architect to design and guide the development of cloud-native, scalable, and resilient microservices. The ideal candidate will have deep technical expertise in distributed systems, event-driven architectures, and modern data platforms, and will play a critical role in setting the technical direction and architecture strategy for backend systems.

Key Responsibilities

• Architect end-to-end solutions for cloud-native applications with a strong focus on scalability, availability, performance, and security.
• Design and oversee the development of microservices architectures, ensuring clean service boundaries, loose coupling, and high maintainability.
• Define and guide the adoption of message queueing and streaming platforms (e.g., Kafka, Redis Streams, RabbitMQ) for event-driven communication and real-time processing.
• Architect and optimize data storage solutions, including distributed databases (e.g., Citus, PostgreSQL, Snowflake) to meet high availability and scalability requirements.
• Collaborate with engineering teams to define architecture blueprints, reference implementations, and technical standards.
• Perform architecture reviews, provide hands-on technical guidance, and ensure adherence to best practices in code quality, testing, observability, and security.
• Evaluate new technologies, frameworks, and tools; recommend and drive technology adoption aligned with long-term architectural goals.
• Work closely with DevOps, SRE, and security teams to ensure efficient CI/CD, infrastructure automation, and secure system design.
• Provide architectural support for customer-facing issues, performance bottlenecks, and production incidents.
• Advocate for domain-driven design (DDD), API-first design, and event-driven patterns across the engineering organization.

Minimum Qualifications 

• 10+ years of experience in software development, with 3+ years as a Software Architect or in a similar architectural leadership role.
• Proven experience in designing and deploying cloud-native applications using AWS, Azure, or GCP.
• Strong knowledge of microservices patterns, REST/gRPC APIs, and asynchronous communication.
• Hands-on experience with streaming and messaging platforms such as Apache Kafka, Redis Streams, RabbitMQ, or Amazon Kinesis.
• Expertise in distributed databases like Citus, Snowflake, PostgreSQL, Cassandra, or similar.
• Solid understanding of containerization and orchestration (e.g., Docker, Kubernetes, Helm).
• Familiarity with DevOps practices, including infrastructure as code (e.g., Terraform) and CI/CD pipelines.
• Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, ELK stack.
• Strong focus on scalability, performance tuning, reliability, and security best practices in architecture.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience with event sourcing, CQRS, or real-time data processing architectures.
• Familiarity with data pipelines, ETL workflows, and big data platforms.
• .net experience. 
• Understanding of multi-tenant SaaS architectures and compliance requirements (e.g., GDPR, SOC2).
• Prior experience with technical mentoring, code reviews, and engineering process improvements.

Why Five9

At Five9, we believe that technology is only as powerful as the people behind it. You’ll be part of a team that values collaboration, innovation, and accountability, and you’ll have the opportunity to make a meaningful impact on how global enterprises engage with their customers.

FEQ427R76

As a Senior Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems

Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. 
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• 8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Strong consulting / customer facing experience , working with external clients across a variety of industry markets
• Coding experience in Python, R, Java, Apache Spark™ or Scala
• Experience building distributed data systems
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Available to travel to customers in your region
• Nice to have: Databricks Certification

FEQ425R230

As a Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups
• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Strong consulting / customer facing experience , working with external clients across a variety of industry markets
• Core strength in either data engineering or data science technologies
• 8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding
• 8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)
• 6+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Coding experience in Python, R, Java, Apache Spark™ or Scala

As a Senior Data Engineer, you will design, build, and manage components of our highly available real-time and batch data pipelines handling petabytes of data. Our pipeline platform is designed to ingest and process billions of events per day, and make the resulting aggregations and insights available within minutes in our analytical data stores. Data Analytics is at the core of our business, and we’re constantly innovating to make our systems more performant, timely, cost-effective, and capable while maintaining high reliability. You will build on top of our core data infrastructure and pipelines using technologies and tools tailored for massive data sets including Flink, Spark, Kafka, Iceberg and Druid while working in the AWS cloud environment.  

If you are interested in building systems that can consume and explore billions of data points a day, work with petabytes of data, and want to push what is possible with data, this is the place for you!

As a Senior Data Engineer, you’ll get to:

• Architect, build, and own real-time and batch data aggregation systems to deliver quality analytical reports for our internal and external customers.
• Collaborate with Data Scientists, Backend Engineers, Data & Infrastructure Operations, and Products Managers to deliver new features and capabilities for customers.
• Develop clean, safe, testable, and cost-efficient solutions.
• Make well-informed decisions with deep knowledge of both the internal and external impacts on teams and projects. Foresee shortcomings ahead of time and be able to drive to resolution.

You’ll be a good fit if you have:

• Bachelors in CS or equivalent.
• 6+ years of Software Engineering or Data Engineering experience with a recent focus on big data. 
• Strong development skills in Java or Scala and Python.
• Solid background in the fundamentals of computer science, distributed systems, large scale data processing as well as database schema design and data warehousing.
• Practical experience managing AWS or Google Cloud environments.
• Experience in containerized deployment or Kubernetes is a big plus!
• Good understanding of a broad spectrum of NoSQL, traditional RDBMS, and analytical/columnar data stores including Postgres, Druid, Vertica, Redshift, Hadoop, Hive, Cassandra, Aerospike, and Redis.
• Ability to build systems that balance scalability, availability, and latency.
• Strong ability to advocate for the continual deployment and automation tools, monitoring, and self-healing systems that can help improve the lives of our engineers.
• Great communication skills and you are a team player who has a proven track record of building strong relationships with management, co-workers, and customers.
• A desire to learn and grow, push yourself and your team, share lessons with others and provide constructive and continuous feedback, and be receptive to feedback from.

This role will be based at our Bengaluru, KA office and follows a Hybrid schedule that will be aligned with our Return to Office guidelines. 

Job summary

As a Software Engineering Manager, you will lead a team of software engineers to design, develop, test, and deliver high-quality software solutions. This role requires a balance of technical expertise, leadership skills, and project management capabilities to ensure the successful execution of software development projects. 

What you will do

• Lead, mentor, and motivate a team of software engineers.
• Foster a positive and collaborative team culture.
• Provide guidance on technical issues and contribute to skill development within the team.
• Collaborate with cross-functional teams to gather requirements and define technical solutions.
• Ensure the team follows best practices in software development, coding standards, and testing methodologies.
• Implement and enforce quality assurance processes to ensure the delivery of reliable and scalable software solutions.
• Stay updated on industry best practices and emerging technologies. 
• Promote technical and operational achievement by developing measurements and methods for evaluation and advancement.
• Communicate effectively with stakeholders, including product managers, other engineering teams, and upper management.

What you will have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field. 
• Proven experience (7+ years) in software development and team management
• Proficiency in one or more programming languages (Java, Go, C++) and a strong grasp of software development principles.
• Proficiency of both relational (MySQL, MariaDB) and NoSQL/non-relational (Cassandra) databases
• Proficiency in js, TypeScript, JavaScript (ES6+), HTML5, and CSS3.

Nice to have

• Familiarity with agile software-development methodology, such as Agile or Scrum.
• Preferred knowledge of PKI infrastructure 
• Preferred experience working with Cryptography API
• Preferred experience with Git, JIRA, IDEs (Eclipse, MS Visual Studio)

Benefits

• Generous time off policies
• Top shelf benefits 
• Education, wellness and lifestyle support 

#LI-SS1

Job Title: Senior Engineer

Location: Bengaluru, India - (Hybrid)

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Job Summary:

Core Platform development is spread across multiple cross-functional teams, each building large and complex components of the MDM platform. Engineer plays senior role in a team is technically responsible for particular feature delivery which consists of:

• Presenting a solution to Architects
• Technical drive feature delivery, make decisions, development leadership - distribute tasks across one or two regular engineers
• Work with QA to review testing approaches, provide all details needed for testing, and review test plans
• Be responsible for all internal feature documentation

Job Duties and Responsibilities:

• Deliver features with high quality, and be customer-focused.
• Champion engineering excellence, raise the bar on code coverage, coding guidelines, and review processes.
• Provide technical leadership and mentor junior team members.
• Deal with ambiguity in complex problems, show bias for action.
• Work closely with architects to actively shape the architecture of your work area and the broader product.
• Work closely with PM, QA & Doc teams to ensure a thorough testing strategy, robust deployment, and lucid documentation of features.
• Effective communication with cross-functional teams and global stakeholders.

Skills You Must Have:

• An engineering degree in the computer science field
• Solid foundation in computer science, with strong competencies in algorithms, data structures, software design, and building large, distributed systems
• 5+ years of experience in the design and development of products for enterprise customers.
• 4+ years of experience in building large-scale distributed data systems in Java and cloud technologies.
• Proven track record of building functionalities from conception to delivery, engaging with customers and partners to drive successful adoption and customer satisfaction.
• Experience in leading projects with a crew of engineers, providing technical mentorship.
• Experience building services on one of the 3 major cloud service providers: AWS, Azure or GCP, hands-on experience in managed cloud databases

Skills That Are Nice to Have:

• Experience working with NoSQL databases like Cassandra, and queue services like SQS
• Experience in cloud security principles
• Experience with Kubernetes
• Experience with big data technologies
• Experience in driving customer focus for SaaS products is a big plus

Why Join Reltio?*

• Health & Wellness:
  • Comprehensive Group medical insurance including your parents with additional top-up options.
  • Accidental Insurance
  • Life insurance
  • Free online unlimited doctor consultations
  • An Employee Assistance Program (EAP)
• Work-Life Balance:
  • 36 annual leaves, which includes Sick leaves – 18, Earned Leaves - 18
  • 26 weeks of maternity leave, 15 days of paternity leave
  • Very unique to Reltio - 01 week of additional off as recharge week every year globally
• Support for home office setup:
  • Home office setup allowance.
• Stay Connected, Work Flexibly: Mobile & Internet Reimbursement
• No need to pack a lunch—we’ve got you covered with a free meal.And many more…..

About Nanonets

Nanonets has a vision to help computers see the world starting with reading and understanding documents.Machine Learning (ML) is no longer a futuristic concept—it's a present-day powerhouse transforming the business landscape. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make document related processes faster than ever before. 

From automating data extraction processes to enhancing reconciliation, our solutions are designed to revolutionize workflows, optimize operations, and unlock untapped potential for our clients. Our client footprint spans across brands such as Toyota, Boston Scientific, Bill.com and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data

We recently announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital & YCombinator. This infusion of capital underscores our commitment to driving innovation and expanding our reach in delivering cutting-edge AI solutions to businesses worldwide.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

About the Role

As a senior fullstack engineer, you should be comfortable with both backend (Preferably Golang) and frontend (Preferably React). You will be primarily working on architecting and shipping new backend features like new integrations, enabling more machine learning API’s, building complex workflows & various growth hacking efforts. You will also work on optimizing response times, building features that will scale to 100’s of millions of documents we process every month.

What we expect from you

• Agility in shipping features
• Good at code design and architecture
• Great communication
• Backend experience - Preferably golang, python
• Databases - Understanding of data modeling for Nosql preferably cassandra.
• Strong fundamentals in OOP design patterns.
• Basic understanding of Devops.
• Curiosity and Willingness to learn new things while solving a challenging problem.
• Learning and incorporating best practices in software development, security and design/architecture.

What We're Looking For:

• B.E/B.Tech preferable from a Tier 1 college
• 3-8 yrs in software development with a strong foundation in software architecture and design as well one of frontend and backend development
• Proficiency in programming and development technologies.
• Strong familiarity with DevOps best practices and tools.
• Innovative mindset and a passion for driving engineering excellence.

Some of the interesting features we have shipped in backend

• Compile python code into C which could be imported into golang and then shipped as binary for on premise systems
• Autoscale GPU dependent services with kubernetes with a custom metric
• Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics
• Building large number and variety of integrations with relatively generic interface like salesforce, quickbooks, RPA's, external databases
• Process large number of files in highly distributed manner in golang
• Intelligent lookups leveraging vector databases with data synced from ERP Systems

Some of the interesting things we have shipped in frontend -

• Ability for users to annotate documents so AI can learn which fields to extract.
• Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics
• Letting users build complex visual workflows around our API in our product.
• Let users visualize complex ML metrics in a very simple and intuitive way 

Our Tech Stack

• Databases
• Cassandra DB
• Postgres/MySQL
• Backend
• Golang for API and other microservices
• Python for Machine learning (Tensorflow, Pytorch)
• Frontend
• React, Typescript
• Mobx
• Cloud Providers
• AWS
• GCP for ML heavy workload
• Monitoring/Alerting
• ELK for logging
• Prometheus for Monitoring
• Graphana for dashboards
• Orchestration
• Kubernetes
• DevOps
• Jenkins for CI/CD

The Role

Telnyx infrastructure team is building a next-generation platform that spans across multiple cloud providers and multiple continents. We leverage the Telnyx private backbone network with cross-connects to major cloud providers like AWS, Azure, GCP, and IBM Cloud to build a cloud-agnostic, highly available platform. With our lean team, we're currently running infrastructure in 10 PoPs and 3 continents.

In This Role You Will

• Design, develop, and deploy scalable solutions for managing databases like PostgreSQL, MySQL, Cassandra, Kafka, RabbitMQ, Redis, and others, both in virtualized environments and Kubernetes clusters.
• Collaborate with engineering to identify and resolve pain points in managing large-scale, high-availability database infrastructure.
• Lead the migration of existing database services from VMs to Kubernetes, ensuring minimal downtime and seamless transitions.
• Support disaster recovery, backup strategies, and performance tuning for on-premise database systems.
• Implement and manage observability, logging, and alerting systems. 

Must-Have Experience:

• 3+ years of professional experience in infrastructure operations, especially in Linux-based systems.
• Expertise in at least one deployment and orchestration technology (Kubernetes, Ansible, or Terraform), with a focus on deploying and managing stateful applications
• Skills in scripting languages such as Bash, Python, or similar, to automate workflows and manage infrastructure.
• Hands-on experience managing at least one relational databases like PostgreSQL or MySQL

You’d Be A Good Fit If You Have

• Experience with non-relational databases such as Cassandra, OpenSearch, or other distributed data stores.
• Familiarity with streaming and messaging platforms like Kafka or RabbitMQ, including scaling and monitoring in a distributed setup.
• Proficiency in observability tools like Prometheus, Grafana, ELK stack, or others to ensure system performance and reliability.

Bonus Points For:

• Knowledge of service discovery tools like Consul, or similar technologies, would be a great advantage

Growth Opportunities: 

• Act as a strength multiplier to product engineering efforts. 
• Learn about every technology stack used at Telnyx. 
• Work at the intersection of the social and the technical, with growth opportunities in both.

#LI-KG1

#LI-REMOTE

As a Senior Software Engineer, you will join a dynamic engineering team responsible for building scalable, robust, and fault-tolerant backend systems. This is a high-impact role where you will contribute to critical projects that drive platform scalability, optimize performance, and improve system reliability for a global customer base. You will collaborate with cross-functional teams and work with modern technologies to solve complex engineering challenges. Your contributions will play a key role in ensuring seamless and reliable customer experiences.

Key Responsibilities :

• Design, develop, and maintain highly scalable and reliable backend systems.
• Build distributed services capable of handling large-scale datasets and high-throughput workloads.
• Optimize system performance, reliability, and availability across the platform.
• Collaborate with product managers, data teams, and other engineering teams to deliver high-impact solutions.
• Contribute to architectural decisions and help improve engineering best practices.
• Troubleshoot and resolve complex technical issues in production systems.

Required Qualifications : 

• 5+ years of industry experience in software engineering, preferably in technology-focused organizations or start-up environments.
• Strong hands-on experience building large-scale distributed systems.
• Experience working with large datasets (tens of millions of documents or more).
• Experience with in-memory caching systems such as Redis.
• Experience with distributed NoSQL databases such as Elasticsearch, Cassandra, HBase, or MongoDB.
• Proficiency in at least one backend programming language such as Golang or Python.
• Ability to design and work with complex business workflows and high-volume data processing systems.
• Strong problem-solving and debugging skills.

Join our dynamic and high-impact Data team as a Data Engineer, where you'll be responsible for safely receiving and storing trading-related data for the India teams, as well as operating and improving our shared data access and data processing systems. This is a critical role in the organisation as the data platform drives a huge range of trader analysis, simulation, reporting and insights. The ideal candidate should have work experience in systems engineering, preferably with prior exposure to financial markets and with proven working knowledge in the fields of Linux administration, orchestration and automation tools, systems hardware architecture as well as storage and data protection technologies.

Your Core Responsibilities:

• Manage and monitor all distributed systems, storage infrastructure, and data processing platforms, including HDFS, Kubernetes, Dremio, and in-house data pipelines
• Drive heavy focus on systems automation and CI/CD to enable rapid deployment of hardware and software solutions
• Collaborate closely with systems and network engineers, traders, and developers to support and troubleshoot their queries
• Stay up to date with the latest technology trends in the industry; propose, evaluate, and implement innovative solutions

Your Skills and Experience:

• 5–7 years of experience in managing large-scale multi-petabyte data infrastructure in a similar role
• Advanced knowledge of Linux system administration and internals, with proven ability to troubleshoot issues in Linux environments
• Deep expertise in at least one of the following technologies: Kafka, Spark, Cassandra/Scylla, or HDFS
• Strong working knowledge of Docker, Kubernetes, and Helm
• Experience with data access technologies such as Dremio and Presto
• Familiarity with workflow orchestration tools like Airflow and Prefect
• Exposure to cloud platforms such as AWS, GCP, or Azure
• Proficiency with CI/CD pipelines and version control systems like Git
• Understanding of best practices in data security and compliance
• Demonstrated ability to solve problems proactively and creatively with a results-oriented mindset
• Quick learner with excellent troubleshooting skills
• High degree of flexibility and adaptability

Software Development Engineer III - NodeJS/Python Backend Engineer

India (Remote/Hyderabad)

Work Timings: 1 PM to 10 PM IST

LivePerson (NASDAQ: LPSN) is a leading customer engagement company, creating digital experiences powered by Curiously Human AI. Every person is unique, and our technology makes it possible for companies, including leading brands like HSBC, Orange, and GM Financial, to treat their audiences that way at scale. Nearly a billion conversational interactions are powered by our Conversational Cloud each month.

You'll be successful at LivePerson if you are excited to build something from the ground up. You excel by finding daily opportunities to grow at the same pace as the technology we're building, and you build partnerships that improve our business. Likewise, you're someone who sees feedback as a chance to learn and grow and believe decisions powered by data are the norm. You care about the well-being of others and yourself.

Job Description: Senior Software Engineer (Node.js, Python, Cloud Native, Generative AI) - 8+ Years Experience from a Product Based IT Company.

Overview:

As a Senior Software Engineer on the Conversational AI team at LivePerson, you’ll play a critical role in shaping the future of our AI-driven customer experiences. You will join the group responsible for our LLM Platform, Copilot products, and Knowledge AI services, bridging the gap between traditional automation and next-generation Generative AI.

You will serve as a technical leader and mentor for a small team of engineers, driving best practices in distributed systems and software architecture. If you have a passion for building reliable, scalable, and high-performance services and possess exceptional technical expertise, we want to hear from you.

Responsibilities:

• Technical Leadership & System Design: Own the design and implementation of critical backend components. You will build high-volume, low-latency applications for mission-critical systems, ensuring high availability and performance.
• Distributed Systems Engineering: Create reliable, scalable, and high-performance services. Your work will require a deep understanding of Computer Science fundamentals and practical experience building large-scale distributed systems.
• Complex Problem Solving: Expertly navigate complex systems and domains to identify key challenges and create plans to address them.
• Lead by Example: Lead by example through the quality of your code and your approach to your work.
• Operational Excellence: Debug production issues, maintain existing codebases, and ensure the stability of the platform. You will participate in on-call rotations to support mission-critical services.
• Team Growth: Level up the team through code review feedback and knowledge sharing sessions, and assist in the onboarding of new engineering hires.

Qualification:

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• Solid understanding of Data Structures and Algorithm Design
• Deep proficiency in Node.js (for high-concurrency orchestration and backend services) AND Python (for AI/ML logic and data processing)
• Practical experience building applications utilizing LLMs (OpenAI, Anthropic, etc.), RAG (Retrieval-Augmented Generation), and Vector Databases.
• Expert-level knowledge of Databases (SQL, NoSQL) like Cassandra, MySQL
• Experience with Data Processing frameworks like Kafka, Airflow, Apache Spark, Hadoop
• Experience building REST APIs and debugging distributed microservice-based applications
• Experience in Kubernetes
• Experience with Git, Jenkins, and other Development tools
• Cloud expertise in either Google Cloud Platform (GCP) or Amazon Web Services (AWS)

Benefits:

• Personal time off 15 days - Casual (6) days & Sick Days (6)
• Medical Insurance: 8 Lakhs Family Floater that covers employee, spouse, 3 children and parents or In-laws
• Group Personal Accident: 3x of the employee’s Gross Salary
• Group Term Life: 3x of the employee’s Gross Salary
• Volunteering Days – Use them to make a difference in your community. Whether it's a cleanup, supporting a local initiative or holding an “Ehrenamt”, just let us know! We're here to help you create a meaningful impact.

Financial & Growth

• Employee Stock Program (ESPP): Participate in our Employee Stock Participation Program and receive a discount on company shares, allowing you to share in LivePerson's success.
• Learning & Development: We actively support your professional journey with robust programs for growth and learning development, including allocated stipends, ensuring you reach your full potential.

Why You’ll Love Working Here

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.

Belonging at LivePerson

We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer. We believe that diverse perspectives drive innovation. 

Accessibility Commitment

LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable adjustments to job applicants with disabilities. Applicants who require a reasonable adjustment for any part of the application or hiring process should inform their recruiting contact upon initial connection.

Important Candidate Notice

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. This phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.

Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson  employee with an @liveperson.com email address.

LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

Software Development Engineer III - NodeJS/Python Backend Engineer

India (Remote/Hyderabad)

Work Timings: 1 PM to 10 PM IST

LivePerson (NASDAQ: LPSN) is a leading customer engagement company, creating digital experiences powered by Curiously Human AI. Every person is unique, and our technology makes it possible for companies, including leading brands like HSBC, Orange, and GM Financial, to treat their audiences that way at scale. Nearly a billion conversational interactions are powered by our Conversational Cloud each month.

You'll be successful at LivePerson if you are excited to build something from the ground up. You excel by finding daily opportunities to grow at the same pace as the technology we're building, and you build partnerships that improve our business. Likewise, you're someone who sees feedback as a chance to learn and grow and believe decisions powered by data are the norm. You care about the well-being of others and yourself.

Job Description: Senior Software Engineer (Node.js, Python, Cloud Native, Generative AI) - 8+ Years Experience from a Product Based IT Company.

Overview:

As a Senior Software Engineer on the Conversational AI team at LivePerson, you’ll play a critical role in shaping the future of our AI-driven customer experiences. You will join the group responsible for our LLM Platform, Copilot products, and Knowledge AI services, bridging the gap between traditional automation and next-generation Generative AI.

You will serve as a technical leader and mentor for a small team of engineers, driving best practices in distributed systems and software architecture. If you have a passion for building reliable, scalable, and high-performance services and possess exceptional technical expertise, we want to hear from you.

Responsibilities:

• Technical Leadership & System Design: Own the design and implementation of critical backend components. You will build high-volume, low-latency applications for mission-critical systems, ensuring high availability and performance.
• Distributed Systems Engineering: Create reliable, scalable, and high-performance services. Your work will require a deep understanding of Computer Science fundamentals and practical experience building large-scale distributed systems.
• Complex Problem Solving: Expertly navigate complex systems and domains to identify key challenges and create plans to address them.
• Lead by Example: Lead by example through the quality of your code and your approach to your work.
• Operational Excellence: Debug production issues, maintain existing codebases, and ensure the stability of the platform. You will participate in on-call rotations to support mission-critical services.
• Team Growth: Level up the team through code review feedback and knowledge sharing sessions, and assist in the onboarding of new engineering hires.

Qualification:

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• Solid understanding of Data Structures and Algorithm Design
• Deep proficiency in Node.js (for high-concurrency orchestration and backend services) AND Python (for AI/ML logic and data processing)
• Practical experience building applications utilizing LLMs (OpenAI, Anthropic, etc.), RAG (Retrieval-Augmented Generation), and Vector Databases.
• Expert-level knowledge of Databases (SQL, NoSQL) like Cassandra, MySQL
• Experience with Data Processing frameworks like Kafka, Airflow, Apache Spark, Hadoop
• Experience building REST APIs and debugging distributed microservice-based applications
• Experience in Kubernetes
• Experience with Git, Jenkins, and other Development tools
• Cloud expertise in either Google Cloud Platform (GCP) or Amazon Web Services (AWS)

Benefits:

• Personal time off 15 days - Casual (6) days & Sick Days (6)
• Medical Insurance: 8 Lakhs Family Floater that covers employee, spouse, 3 children and parents or In-laws
• Group Personal Accident: 3x of the employee’s Gross Salary
• Group Term Life: 3x of the employee’s Gross Salary
• Volunteering Days – Use them to make a difference in your community. Whether it's a cleanup, supporting a local initiative or holding an “Ehrenamt”, just let us know! We're here to help you create a meaningful impact.

Financial & Growth

• Employee Stock Program (ESPP): Participate in our Employee Stock Participation Program and receive a discount on company shares, allowing you to share in LivePerson's success.
• Learning & Development: We actively support your professional journey with robust programs for growth and learning development, including allocated stipends, ensuring you reach your full potential.

Why You’ll Love Working Here

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.

Belonging at LivePerson

We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer. We believe that diverse perspectives drive innovation. 

Accessibility Commitment

LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable adjustments to job applicants with disabilities. Applicants who require a reasonable adjustment for any part of the application or hiring process should inform their recruiting contact upon initial connection.

Important Candidate Notice

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. This phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.

Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson  employee with an @liveperson.com email address.

LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

About the Role

We’re looking for a Staff Engineer – Core Platform to architect, scale, and evolve the distributed systems foundation that powers Interface.ai’s next-generation AI experiences.

This is a hands-on, high-impact engineering role — you will design and build core platform components that enable real-time AI interactions, secure orchestration, and low-latency execution across millions of concurrent user sessions.

The ideal candidate is a systems thinker who thrives on solving large-scale engineering challenges in distributed, event-driven environments — someone who obsesses over performance, reliability, and elegant architecture, and who elevates the technical bar for the entire organization.

What You’ll Own

As a Staff Engineer, you will be the technical backbone for the Core Platform team — defining architecture, mentoring teams, and ensuring engineering excellence across all systems.
You’ll focus on:

• Designing and scaling low-latency, fault-tolerant distributed systems serving real-time workloads.
  
  
• Architecting microservices and event-driven systems that are secure, composable, and resilient under scale.
  
  
• Integrating Vector Databases and Embedding Stores to support intelligent retrieval, RAG (Retrieval-Augmented Generation), and adaptive AI experiences.
  
  
• Partnering with AI and Product teams to embed LLMs and inference services into the Core Platform, ensuring performance and observability.
  
  
• Defining technical standards, best practices, and evolutionary architecture patterns across teams.
  
  
• Driving continuous improvement in code quality, observability, and deployment reliability.
  
  
• Acting as a technical mentor and multiplier — raising the bar for system design, code reviews, and debugging excellence.
  
  

What You’ll Do

• Architect and Build Distributed Systems: Design microservice-based architectures that enable scalability, low latency, and fault isolation for AI-driven features.
  
  
• Optimize System Performance: Own performance at the platform level — from network I/O and API design to database indexing and caching strategies.
  
  
• Enable AI Integrations: Work closely with LLM engineers to design APIs and data pipelines supporting RAG, embeddings, and model-inference use cases.
  
  
• Design Resilient Data Infrastructure: Implement streaming and async systems (Kafka, Pulsar, or similar) to handle high-volume event traffic.
  
  
• Drive Engineering Quality: Establish patterns for clean code, contracts, testing, and documentation. Lead architecture and code reviews across pods.
  
  
• Mentor and Coach: Elevate senior engineers through structured mentorship, design walkthroughs, and technical guidance.
  
  
• Champion Evolutionary Architecture: Build for change — advocate for modular, observable, and testable systems that can evolve with business needs.
  
  
• Improve Platform Resilience: Implement retry, backoff, rate-limiting, and circuit-breaker patterns to ensure uptime and reliability at scale.
  
  
• Collaborate Cross-Functionally: Work with AI, data, DevOps, and product teams to define shared contracts, SLAs, and infrastructure standards.
  
  

What We’re Looking For

Required Qualifications

• Experience: 8+ years of experience in backend or platform engineering, including 2+ years in high-scale B2C or distributed systems environments.
  
  
• Distributed Systems Mastery: Deep understanding of scalability, consistency, concurrency control, and fault tolerance.
  
  
• Low-Latency Systems Expertise: Proven track record designing systems with strict SLA and sub-second response times.
  
  
• Microservices Architecture: Strong experience building, deploying, and maintaining service-oriented architectures with APIs, event streams, and async messaging.
  
  
• Vector DBs & Embeddings: Hands-on experience with Weaviate, Pinecone, Qdrant, FAISS, or similar; strong grasp of RAG patterns and semantic retrieval.
  
  
• Programming Proficiency: Expertise in Go, Rust, Java, or Python, and familiarity with modern frameworks (gRPC, GraphQL, REST).
  
  
• Data Layer Knowledge: Solid understanding of SQL/NoSQL databases (PostgreSQL, Cassandra, DynamoDB) and caching systems (Redis, Memcached).
  
  
• Resilience & Observability: Experience designing with telemetry, distributed tracing, chaos testing, and monitoring (Prometheus, OpenTelemetry).
  
  
• Engineering Quality Mindset: Passion for clean code, automated testing, CI/CD, and maintainability.
  
  
• Bar-Raising Leadership: Experience mentoring teams, enforcing code quality standards, and elevating design practices.
  
  

Preferred Qualifications

• Experience building or scaling real-time personalization or recommendation systems.
  
  
• Prior exposure to LLM serving, RAG pipelines, and LLMOps frameworks.
  
  
• Familiarity with Kafka, Flink, or Beam for data streaming.
  
  
• Contributions to open-source projects in distributed systems or AI tooling.
  
  
• Deep understanding of cloud-native architectures (Kubernetes, Istio, Terraform).
  
  

What Makes This Role Special

• You’ll define and scale the core technical foundation for AI systems serving millions of users.
  
  
• You’ll collaborate with world-class engineers across AI, platform, and product to deliver real-time, intelligent experiences.
  
  
• You’ll raise the engineering bar — shaping how code is written, reviewed, and deployed across teams.
  
  
• You’ll lead by example: mentoring senior engineers while remaining hands-on in architecture, design, and implementation.
  
  
• You’ll be part of an organization where AI-first thinking, evolutionary architecture, and engineering craftsmanship are core values.
  
  
  #LI-Remote
  #LI-SS1

Job Title: Senior Java Backend Developer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Job Title: Senior Java Backend Developer

Location: Bangalore/ Pune

Experience: 7years+

EXPERIENCE AND REQUIRED SKILLS

• Professional ExperienceYou hold a degree from a top engineering school and have at least 5 years of experience as a Tech Lead within a tech company, a bank, or a consulting firm.
• You have a strong background in technical leadership, including managing and guiding development teams, defining technical standards, mentoring, and supporting skill development.
• You have hands-on experience with agile delivery, having worked with agile frameworks such as Scrum, Kanban, or SAFe in complex project environments.
• You have contributed to critical projects in the financial sector (banking, insurance, asset management) or in regulated environments (a plus).
• Technical skillsBackend DevelopmentAdvanced proficiency in Java, ideally with experience on recent versions (17+) and the Spring ecosystem (Spring Boot, Spring Core, Spring Security).
• Excellent knowledge of Spring Data and JPA for relational persistence management: object-relational mapping (ORM), transaction handling, and query optimization (JPQL, Criteria API).
• Strong experience in developing secure REST APIs, including authentication and authorization mechanisms (OAuth2, JWT).
• Knowledge of additional modern backend languages (Kotlin, Node.js, Go, Python, C#...) is a valuable asset.
• Distributed Architecture Design Expertise in microservices architecture (functional decomposition, synchronous/asynchronous inter-service communication, dependency management).
• Experience with event-driven architectures using message brokers (Kafka, RabbitMQ, etc.).
• Familiarity with integration patterns such as SAGA, Event Sourcing, and CQRS.
• Cloud et ContainerizationStrong experience with cloud environments (AWS, Azure, GCP): cloud-native design, high availability, scalability.
• Excellent command of Docker and container orchestration with Kubernetes (Helm, Kustomize, etc.)
• Advanced Software EngineeringMastery of Clean Architecture principles, modular design, and strict separation of business, application, and infrastructure layers.
• Experience with Domain-Driven Design (DDD): strategic design, identification of bounded contexts, and rich domain modeling.
• Consistent application of software quality standards (SOLID, DRY, KISS) and robust testing methodologies (TDD, BDD, contract testing).
• Delivery toolsAdvanced experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or equivalents.
• Proficient in Infrastructure as Code using Terraform, Pulumi, or CloudFormation.
• DatabaseStrong understanding and implementation experience with both SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra).
• Ability to design optimized and scalable data models aligned with business needs
• Soft Skills and Other CompetenciesNatural leadership and ability to rally teams around a shared technological vision.
• Excellent written and verbal communication skills; capable of making technical concepts accessible to non-technical stakeholders.
• Critical thinker and solution-oriented mindset, with the ability to analyze complex problems and propose pragmatic and robust solutions.
• Intellectual curiosity and a strong commitment to staying current with evolving technologies and methodologies.
• Adaptability in fast-paced environments with continuous collaboration between business and IT teams.
• Fluent in English.

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Job Title: GenAI Developer/ Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
• Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
• Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.

Role: Principal Architect 

Reports to: Global Head of Technology (SVP Engineering)
Location: Bengaluru (hybrid)
Function: Platform & Product Architecture (Cloud-Native Data/SaaS)

About Reltio

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Job overview

Reltio is scaling a cloud-native, multi-tenant data platform used by global enterprises. We need a Principal Architect to set the end-to-end architecture vision, de-risk the roadmap, and turn strategy into secure, reliable, cost-efficient systems—while upleveling the engineering organization.

• Enterprise & Product Architecture: Define the north-star architecture for a multi-tenant SaaS data platform (ingest → processing → storage → query → API/SDK/UX). Establish reference architectures, decision records, and standards.
• Cloud-Native Platform: Drive container orchestration, service mesh, control planes, observability, and resilience across AWS/Azure/GCP.
• Data & Streaming: Lead designs for high-volume streaming, low-latency query, and analytical/ML use cases (batch + real-time).
• AI/ML & Agentic AI: Partner with product and security to embed responsible LLM/agentic patterns (guardrails, retrieval, evals) into customer-facing and internal developer workflows.
• Reliability, Security & Compliance: Champion SRE/SOC2/ISO/GDPR-by-design, error budgets, threat modeling, and secure SDLC.
• Developer Experience: Improve CI/CD, test strategy, paved roads, and golden paths; reduce cognitive load and toil across teams.
• Executive & Customer Influence: Translate architecture trade-offs for executives and key customers; guide buy-build-integrate decisions.

Key Responsibilities 

Set the vision: Author and socialize the product/platform architecture strategy; maintain ADRs and tech radars.

• Design at scale: Lead designs for multi-tenant isolation, data models, schemas, indexing/OLAP, and event-driven systems.
• Evolve the platform: Standardize service meshes, API gateways, policy-as-code, and multi-cloud deployment patterns.
• Operational excellence: Embed SRE practices (SLOs, error budgets, incident learning), capacity planning, and chaos testing.
• Security & privacy: Lead threat models, data classification, encryption, secrets, key management, and SBOM/SLSA controls.
• AI architecture: Define patterns for RAG/agents, prompt & model governance, telemetry, evaluations, and fallbacks.
• Mentor & scale: Coach Staff/Principal engineers and architects; chair architecture reviews; build a healthy review culture.
• Executive partnering: Communicate options/trade-offs to C-suite; align decisions with business value and customer impact.
• Customer evangelism: Join key enterprise conversations; convert requirements into pragmatic designs and phased delivery.

Qualifications

• 20+ years in product/platform architecture for large-scale, cloud-native SaaS; recent Principal/Distinguished Architect scope leading end-to-end product decisions and migrations across multi-cloud.
• Cloud & Kubernetes depth: EKS/AKS/GKE; service mesh (Istio/Linkerd), observability (Prometheus/Grafana), platform control planes, operators/CRDs. Able to define golden paths/paved roads for teams.
• Data platform & streaming expertise: Kafka/Flink/Spark; columnar/OLAP (Druid, ClickHouse), NoSQL (Cassandra), search (Elasticsearch/Opensearch); real-time + batch patterns.
• Microservices & integration at enterprise scale: API gateways, event-driven design, SOA/EAI (Apache Camel/Mule/WSO2/JBoss Fuse).
• AI/ML & Agentic AI in production: ML pipelines (MLflow/Kubeflow/Airflow) and LLM/agent frameworks (OpenAI APIs, LLaMA, LangChain/LangGraph; tool-use, memory, evals).
• Security, privacy, and compliance by design: threat modeling, data classification, encryption/keys, and EU GDPR awareness through real product work.
• Executive communication & customer leadership: converts complex trade-offs into simple choices; partners with CXO/stakeholders globally; architecture evangelism with customers.
• C-suite influence & decision facilitation: runs architecture reviews/SteerCos with crisp options, risk/ROI framing, and written decision records; pre-wires global stakeholders to land decisions quickly.
• Customer-back product thinking: meets enterprises regularly, translates requirements into phased designs (MVP → scale), and defends non-negotiables (SLOs, security, privacy).
• Cross-geo orchestration: proven delivery across US/EU/India time zones; builds async rituals, documentation standards, and handoff mechanisms that raise velocity and quality.
• Culture carrier & coaching: uplevels Staff/Principal engineers, codifies paved roads (CI/CD, testing, observability), and scales architectural patterns via ADRs/radars. 

Preferred Qualifications

• Multi-cloud platform stewardship: proven ownership of cross-cloud platforms (e.g., control planes, observability, incident management) and data lake stacks, shipped to enterprise customers.
• Cost/performance engineering: track record reducing infra cost per tenant and improving p95/p99 latency/MTTR via capacity planning, workload placement, and autoscaling patterns.
• Programming fluency: Java/Scala/Python/Go/Rust for credible code-review and reference implementations.
• OSS & ecosystem contribution: prior contributions to relevant frameworks (e.g., Hadoop tuning, NoSQL ORM, Camel/Keycloak) a plus. 

Nanonets is transforming the way businesses work. Our AI platform takes the manual, messy, time consuming work — that bog down industries like finance, healthcare, supply chain, and more — and turns them into seamless, automated processes. What once took hours of human effort now takes seconds with Nanonets. Our client footprint spans across 34% of Fortune 500 enabling businesses across various industries to unlock the potential of AI in automating their business processes. 

More than 10,000 businesses trust Nanonets because we don’t just promise efficiency — we deliver it with unmatched accuracy, seamless integrations.

In 2024, we raised a $29M Series B led by Accel with continued backing from Elevation Capital and YCombinator, fueling our mission to reshape entire industries through intelligent automation. With revenues tripling year over year and a rapidly scaling global team, we’re not just imagining the future of work — we’re building it.

Read about the release here:

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We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

About the Role

As a Fullstack engineer, you should be comfortable with both backend (Preferably Golang) and frontend (React, Next). You will be primarily working on shipping new features like new integrations, enabling more machine learning API’s, and building complex workflows. You will also work on optimizing response times, building features that will scale to 100’s of millions of documents we process every month.

What we expect from you - 

• B.Tech/B.E from a reputed educational institute.
• Agility in shipping features
• Good at code design and architecture
• Very good communication
• Backend experience - Preferably golang, python
• Databases - Understanding of data modeling for Nosql preferably cassandra
• Strong fundamentals in OOP design patterns
• Basic understanding of Devops
• Curiosity and Willingness to learn new things while solving a challenging problem
• Learning and incorporating best practices in software development, security and design/architecture

Some of the interesting features we have shipped in backend

• Compile python code into C which could be imported into golang and then shipped as binary for on premise systems
• Autoscale GPU dependent services with kubernetes with a custom metric
• Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics
• Building large number and variety of integrations with relatively generic interface like salesforce, quickbooks, RPA's, external databases
• Process large number of files in highly distributed manner in golang

Some of the interesting things we have shipped in frontend

• Ability for users to annotate documents so AI can learn which fields to extract
• Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics
• Letting users build complex visual workflows around our API in our product.
• Let users visualize complex ML metrics in a very simple and intuitive way

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