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)
  

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 

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 

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 

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 

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.

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

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 Us

Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.

Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.

Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.

Why Join Us

Join Observe.AI and build the backend that powers AI agents, transforming customer service for global enterprises. You’ll work on complex, high-scale systems where your code has a direct and visible impact. With a culture that prizes speed, innovation, and ownership, this is your chance to sharpen your skills and shape the future of AI-powered experiences.

You’ll partner closely with product, design, and engineering leaders to define the roadmap and deliver solutions that truly matter. If you’re looking for an opportunity where your expertise drives innovation, your ideas shape the future of the platform, and your growth is fueled by working with smart, supportive peers, this is the place for you.

What you’ll be doing

• Contribute to building and deploying AI Agents for customer service in the form of Voice Agents, Chat Agents, and Coilots at enterprise scale.
• Contribute to the full application lifecycle by designing, coding, testing, deploying, and debugging - all with a high bar on quality.
• Collaborate with the product and design team to translate the product roadmap into a clear and actionable technical roadmap.
• Develop reusable code, frameworks, and libraries to accelerate development and maintain consistency across projects.
• Optimize applications for speed, scalability, and reliability - hence proactively addressing bottlenecks and performance issues.
• Implement robust security measures and data protection practices to safeguard applications and sensitive customer data.
• Design and manage scalable data storage solutions that ensure efficiency, reliability, and long-term maintainability.
• Build and scale efficient data pipelines to process large volumes of data with accuracy and speed.
• Review work of other team members (at all levels), provide feedback to them and lead by example on all of the above factors
• Represent the observe engineering and demonstrate thought leadership at the tech conferences by presenting solutions to complex challenges

What you’ll bring to the role

• 3-5 years of experience in building large-scale products
• Strong expertise in programming language in Python.
• Good knowledge in at least one of the SQL or no-SQL databases (like Postgres, MongoDB, Cassandra)
• In depth knowledge on some of the asynchronous communication tools (like Kafka, SQS  temporal. etc.), good understanding of popular caching tools(like Ehcache, Memcache, Redis)
• Customer first thought process, ability to adapt quickly in a fast paced environment, Openness to learning new technologies, Ability to think and talk from first principles

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

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.

About Us

Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.

Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.

Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.

Why Join Us

At Observe.AI, you’ll have the opportunity to solve complex engineering challenges at scale—building systems that process millions of call recordings every single day. As an SDE-4, you’ll work on cutting-edge technologies, leveraging the latest technologies to design and deliver secure, scalable, and multi-tenant solutions. You’ll collaborate with a team of highly skilled engineers, influence the technical roadmap and take ownership of building critical systems that power our AI-first products. If you’re passionate about architecting high-impact platforms and want to push the boundaries of backend engineering, this is the place for you.

What you’ll be doing

• Lead the design and development of complex software systems using modern software development practices and technologies
• Define and implement software architecture and design patterns that enable scalable and maintainable software systems
• Develop technical strategies and roadmaps to drive the evolution of our software platforms and systems
• Mentor and coach other engineers, promoting a culture of technical excellence and continuous improvement
• Collaborate with cross-functional teams to define and deliver high-quality software products and services
• Contribute towards cross-team initiatives, and share knowledge and best practices with the broader organization
• Drive innovation and experimentation, identifying new opportunities for growth and improvement
• Build model reusable code and design/facilitate libraries for future useCollaborate with the product team to understand and refine the product roadmap, while taking ownership of the technical roadmap definition
• Mentor and coach other engineers, promoting a culture of technical excellence and continuous improvement

What you’ll bring to the role

• Bachelor's or Master's degree in Computer Science
• 8+ years of experience in software engineering, with a focus on large-scale, distributed systems
• Strong programming skills in one or more programming languages, such as Java, Python, etc
• Proven experience in software architecture and design, with a deep understanding of software design patterns and principles
• Up-to-date knowledge of evolving technologies and the ability to guide the team toward evaluating and adopting cutting-edge technologie
• Excellent communication and collaboration skills, with a track record of working effectively with cross-functional teams
• Strong problem-solving skills and a passion for solving complex technical challenges
• Knowledge of container management tools (e.g. Docker Swarm, Kubernetes).
• Familiarity with data stores, including at least one of the following: Postgres, MongoDB, Cassandra, and Redis
• Knowledge of queueing systems (e.g. SQS, Kafka) and caching systems (e.g. Ehcache, Memcache)
• Ability to perform well in a fast-paced environment
• Experience leading and mentoring teams of engineers

Perks & Benefits

• Excellent medical insurance options and free online doctor consultations
• Yearly privilege and sick leaves as per Karnataka S&E Act
• Generous holidays (National and Festive) recognition and parental leave policies
• Learning & Development fund to support your continuous learning journey and professional development
• Fun events to build culture across the organization
• Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

About Us

Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.

Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.

Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.

Why Join Us

Join Observe.AI and build the backend that powers AI agents, transforming customer service for global enterprises. You’ll work on complex, high-scale systems where your code has a direct and visible impact. With a culture that prizes speed, innovation, and ownership, this is your chance to sharpen your skills and shape the future of AI-powered experiences.

You’ll partner closely with product, design, and engineering leaders to define the roadmap and deliver solutions that truly matter. If you’re looking for an opportunity where your expertise drives innovation, your ideas shape the future of the platform, and your growth is fueled by working with smart, supportive peers, this is the place for you.

What you’ll be doing

• Contribute to building and deploying AI Agents for customer service in the form of Voice Agents, Chat Agents, and Coilots at enterprise scale.
• Contribute to the full application lifecycle by designing, coding, testing, deploying, and debugging - all with a high bar on quality.
• Collaborate with the product and design team to translate the product roadmap into a clear and actionable technical roadmap.
• Develop reusable code, frameworks, and libraries to accelerate development and maintain consistency across projects.
• Optimize applications for speed, scalability, and reliability - hence proactively addressing bottlenecks and performance issues.
• Implement robust security measures and data protection practices to safeguard applications and sensitive customer data.
• Design and manage scalable data storage solutions that ensure efficiency, reliability, and long-term maintainability.
• Build and scale efficient data pipelines to process large volumes of data with accuracy and speed.
• Review work of other team members (at all levels), provide feedback to them and lead by example on all of the above factors
• Represent the observe engineering and demonstrate thought leadership at the tech conferences by presenting solutions to complex challenges

What you’ll bring to the role

• 5-9 years of experience in building large-scale products
• Strong expertise in at least one high level  programming language (like Python, Java, Golang), and familiarity with a few more (You should be comfortable to working on Python with immediate effect and any other languages that fit the use case in future)
• Good knowledge in at least one of the SQL or no-SQL databases (like Postgres, MongoDB, Cassandra)
• In depth knowledge on some of the asynchronous communication tools (like Kafka, SQS  temporal. etc.), good understanding of popular caching tools(like Ehcache, Memcache, Redis)
• Customer first thought process, ability to adapt quickly in a fast paced environment, Openness to learning new technologies, Ability to think and talk from first principles

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

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.

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. 

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

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.

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.