Role

We are looking for a Senior Software Development Engineer to join our team. This is a hybrid role based in Bangalore, reporting to the Director, Software Development Engineering. 

As a Senior Software Development Engineer, you will be a technical leader within the Engineering department, driving the core purpose and overall impact of our cloud-native infrastructure. You will focus on building robust systems that serve as the foundation for our high-growth global organization.

What you’ll do (Role Expectations)

• Developing and maintaining the Query layer using Java, Python or Go within a Kubernetes environment
• Designing, implementing, and deploying Kubernetes clusters that are scalable and reliable
• Developing monitoring systems and deploy services in the cloud
• Troubleshooting and resolving issues related to Kubernetes clusters, containers, and microservices
• Contributing to the overall reliability, scalability, and security of applications in cloud-native environments

Who You Are (Success Profile)

• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose
• You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions. You value evidence over assumptions, replacing "I think" with "I know" to drive better outcomes
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization
• You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action

What We’re Looking for (Minimum Qualifications)

• 3+ years of experience with Programming languages like Java, Python or Golang
• 2+ years of experience in Kubernetes, Docker, Kafka
• 2+ years of public cloud experience (AWS or GCP or Azure)
• Expertise in designing, analyzing, and troubleshooting large-scale distributed systems
• Experience with Infrastructure as Code

What Will Make You Stand Out (Preferred Qualifications)

• Experience in continuous monitoring, vulnerability scanning, patching, and reporting
• Experience with multiple cloud providers (AWS, Azure) and both relational and non-relational databases for microservices

#LI-SK3 

#LI-HYBRID

Role 

We’re looking for a seasoned Senior Manager / Director, Software Development Engineering to join our team. This is a hybrid role based in our Bangalore office, reporting to the Sr. Director, Software Engineering within the Engineering department. 

You will lead and grow a high-impact engineering team working on Nanolog, a massively scalable product that has redefined how cloud security services are delivered. This is a hands-on leadership opportunity to drive technical excellence and scale a critical platform.

What you’ll do (Role Expectations)

• Manage a rapidly growing software engineering team of strong individual contributors
• Review architecture and code for the engineers to align with long term platform capabilities
• Create quality process and computing initiatives throughout the product lifecycle to eliminate architecture, design, and coding defects at the source
• Communicate technical solutions to all levels within-group and cross-discipline while providing consistent status reporting
• Maximize the productivity of your team by predicting and resolving obstacles and dependencies before they arise

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution
• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution
• You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction
• You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions. You value evidence over assumptions, replacing "I think" with "I know" to drive better outcomes

What We’re Looking for (Minimum Qualifications)

• 12+ years of overall software development experience with 3+ years managing engineering teams in database, cloud, or distributed domains
• Proven experience building large-scale distributed systems or database kernels using Java, Go, C, or C++
• Demonstrated ability to motivate teams through technical discussions, architectural guidelines, code reviews, and release processes
• Experience working collaboratively with cross-functional partners including QA, Product Management, and Support
• Hands-on experience in the development of database systems

What Will Make You Stand Out (Preferred Qualifications)

• Extensive working experience with tools such as Redis, Kafka, API Gateway, or Spark
• Experience developing and managing large-scale, highly available distributed systems or database kernels specifically in C
• Deep expertise with Unix/Linux based solutions

#LI-HYBRID 

#LI-SK3

Role 

We are looking for a seasoned Staff Software Development Engineer to join our Engineering department. This is a hybrid role based in Bangalore, reporting to the Senior Manager, Software Engineering. You will join our Cloud Browser Isolation Product Team, contributing to the world’s largest cloud security platform. You'll bring your vision and passion to a team of experts who enable organizations worldwide to harness speed and agility through a cloud-first strategy.

What you’ll do (Role Expectations)

• Design, build, and maintain integrations with internal and external products to enhance Zscaler offerings beyond a single solution
• Implement scalable APIs and microservices in Go for seamless data exchange and real-time session handling
• Collaborate with architects and product owners to ensure cloud services align with company standards
• Develop solutions for traffic management, monitoring, and logging to ensure high reliability and efficient debugging
• Participate in on-call rotations to resolve production issues while continuously improving system reliability

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of professional software development experience, including 3+ years focused on developing backend cloud systems using Go (Golang)
• Proficiency in building APIs using HTTP, gRPC, or REST and managing secure endpoint communication
• Experience with containerized application development (Docker) and orchestration (Kubernetes)
• Proven track record of building backend systems with high performance and reliability expectations
• Solid understanding of networking concepts such as TCP, DNS, and SSL/TLS encryption

What Will Make You Stand Out (Preferred Qualifications)

• Familiarity or willingness to contribute to NodeJS backend development
• Exposure to DevOps automation workflows and CI/CD pipelines
• Hands-on experience with distributed messaging systems like Kafka, RabbitMQ, or similar services

#LI-Hybrid #LI-AN4

#LI-RM6 #LI-Hybrid

Role

We are looking for an experienced hands-on Senior Engineering Manager to join our team. This is a hybrid role based in the Bangalore office, reporting to the Director, Software Engineering. As part of the Central Authority department, you will lead the ZIA Control Plane engineering team in designing and managing resilient microservices for the world’s largest SaaS cybersecurity cloud. You will drive cloud-native development, containerization, and automated CI/CD pipelines to deliver high-quality, scalable security solutions at a global scale.

What you’ll do (Role Expectations)

• Lead and mentor a high-performing team with a focus on end-to-end ownership, encompassing design, development, qualification, and deployment

• Oversee the design of autonomous, independently deployable services using modern frameworks to ensure a scalable and modular control plane

• Manage CI/CD pipelines, container orchestration (Kubernetes/Docker), and Infrastructure-as-Code (IaC) to streamline delivery and operations

• Ensure high availability and system stability by implementing resilience patterns, monitoring service health, and resolving complex performance bottlenecks

• Partner with architects and product managers to define service boundaries, enforce API standards, and align technical execution with business goals

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Bachelor’s degree in CS or a related field with 10+ years of software experience, including at least 2 years in a leadership/management role

• Hands-on expertise in microservices architecture, RESTful APIs, and asynchronous messaging (e.g., Kafka, RabbitMQ)

• Advanced proficiency with containerization (Docker), orchestration (Kubernetes), and public cloud platforms (AWS, Azure, or GCP)

• Strong proficiency in both SQL and NoSQL database technologies to support distributed data needs

• Deep understanding of distributed system design patterns and modern security protocols (OAuth 2.0, JWT)

What Will Make You Stand Out (Preferred Qualifications)

• Exceptional analytical skills for troubleshooting complex system degradations and 2nd-level escalations

• Strong verbal and written communication skills for effective cross-functional collaboration and technical reporting

• Proven ability to lead complex technical projects to completion within defined budget and time constraints

Role 

We are looking for a Senior Database Developer (PostgreSQL/MySQL/AWS Aurora, SQLite) to join our team in a Hybrid (Bangalore, Hyderabad or Mohali) capacity, reporting to the Senior Director, Software Engineering. You will design, build, and optimize high-performance database systems at planet scale, owning data modeling, complex SQL development, and cloud-native automation. This role is critical for supporting sharded, high-throughput workloads and ensuring the reliability of our global data infrastructure.

What you’ll do (Role Expectations)

• Design and evolve high-scale data models, partitioning strategies, and sharding patterns to support massive transactional and analytical workloads
• Optimize query performance and database internals across Postgres and MySQL fleets using advanced profiling tools and configuration tuning
• Lead the operation and scaling of AWS Aurora environments, including Serverless v2, Global Databases, and read replica management
• Architect and execute zero-downtime schema migrations and robust disaster recovery strategies to ensure world-class system reliability
• Standardize database observability and automation by building CI/CD pipelines for schema changes and managing infrastructure as code

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 6+ years of professional experience with relational databases, including 3+ years operating cloud databases such as AWS Aurora or RDS in production
• Expert-level proficiency in SQL, PL/pgSQL, and MySQL stored routines with a track record of optimizing systems handling thousands of TPS/QPS
• Deep technical knowledge of database internals including MVCC, WAL, vacuuming, and InnoDB locking mechanisms
• Hands-on experience with data modeling, partitioning, and infrastructure as code tools like Terraform or CloudFormation
• Advanced skills in performance diagnostics using tools like EXPLAIN ANALYZE, pg_stat_statements, and Performance Insights

What Will Make You Stand Out (Preferred Qualifications)

• Experience with streaming platforms like Kafka and managing database operations within Kubernetes environments
• Proven ability to drive cost and performance optimization for cloud databases through IOPS and storage class tuning
• Knowledge of connection management tools like PgBouncer and integration with search engines like Elasticsearch

#LI-Hybrid #LI-AN4

Role

We’re looking for a Principal Software Development Engineer to join our team. Based out of our Bangalore office, you will report to the Senior Manager, Software Engineering within the Zero Trust Exchange department.

As a Principal Software Engineer you will build the backend systems that keep the product fast, reliable, and able to scale as usage grows. You will create microservices and event-driven workflows, and ensure data can be ingested and queried efficiently across relational, graph, and time-series databases. You will also drive cross-team execution by collaborating closely with multiple groups to deliver high-quality results on tight timelines.

What you’ll do (Role Expectations)

• Architect and deliver scalable microservices on EKS (GoLang): design, build, and operate production services that meet uptime, latency, and scale goals
• Build event-driven pipelines with Kafka and MQTT: implement asynchronous workflows that are resilient, observable, and easy to evolve as product needs change
• Design high-performance data models and access patterns: optimize ingest and querying across RDS MySQL, Neo4J, and ElasticSearch for correctness, speed, and cost efficiency
• Harden production readiness and operational excellence: establish monitoring, alerting, tracing, and on-call standards; drive root-cause fixes and reliability improvements
• Lead cross-team delivery and technical direction: align stakeholders, break down complex work, and execute quickly while maintaining a high bar for quality and security

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.
• You are a pragmatic builder. You are obsessed with creating, iterating, and shipping. You aren't afraid to roll up your sleeves and build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.

What We’re Looking for (Minimum Qualifications)

• Senior-level backend engineering experience designing and shipping highly scalable microservices in production developed in Go
• Proven experience with event-driven, asynchronous architectures using messaging/streaming platforms such as Kafka
• Strong data engineering and persistence skills building efficient ingest and query patterns across relational databases (MySQL) plus at least one of ElasticSearch or Neo4J
• Hands-on experience running services on Kubernetes (ideally EKS), including deployment, troubleshooting, and operational ownership

What Will Make You Stand Out (Preferred Qualifications)

• Proven ability to profile and optimize distributed systems end-to-end (latency, throughput, resource usage), including performance tuning across services, databases, and messaging
• Strong track record designing debuggability/observability for distributed applications—structured logging, metrics, distributed tracing, and actionable dashboards/alerts for rapid incident triage
• Experience defining and operationalizing SLIs/SLOs (error budgets, alert policies, reliability reporting) and driving product decisions based on measured service health

#LI-Hybrid #LI-NT1

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 

Greetings From Zeta Global !!

Requirements:

• Education:
• B.S. or M.S. in Computer Science or a related field.

• Experience:
• 8+ years of experience with UI Automation tools such as Selenium, and API automation works.
• 5+ years of experience working with Python and/or J2EE technology or equivalent OO paradigm.
• Experience with automating test validation either via API or through databases using Snowflake, HIVE, or AWS Athena is highly desirable.
• Web application testing experience required both in frontend and backend validations.
• Experience working in a fast-paced technology environment.

• Technical Skills:
• Knowledge and experience with Robot Framework and its libraries using Python.
• Strong proficiency in Python programming.
• Knowledgeable in Git workflows like branching, merging, and conflict resolution.
• Solid understanding of SDLC and Agile testing methodologies.
• Experience with Atlassian tools such as Jira and Confluence preferred.
• Knowledge and experience with Kafka, Elasticsearch, and SQL/NoSQL databases such as Aerospike, Thrift, CI, and AWS is highly desirable.
• Knowledge of other test automation frameworks such as Selenium, Appium, or Cucumber is a plus.
• Experience working with container-based solutions is a plus.

• Soft Skills:
• Strong communication and interpersonal skills.
• Excellent problem-solving, critical thinking, and analytical skills.
• Ability and desire to learn new skills and take on new tasks.

Responsibilities:

• Testing and Automation:
• Perform automated tests covering both frontend/UI and backend/API tests, analyze results, and report defects.
• Continuously improve the test automation strategy to enhance test coverage and efficiency.
• Proactively involve in the development of automation frameworks to satisfy business requirements as well as improve the performance and usability of the framework.
• Automate tests to ensure functional requirements and performance KPIs are met.
• Ensure high product quality through rigorous functional and API level tests.

• Collaboration and Mentorship:
• Understand business requirements independently and cooperatively.
• Mentor and guide other QA engineers on best practices in test automation.
• Collaborate with cross-functional teams to integrate automated tests into the CI/CD pipeline.

• Development and Documentation:
• Architect, design, and implement a reliable and scalable automation framework for a real-world machine learning platform.
• Develop comprehensive test plans covering business use cases and test cases.
• Identify, record, document thoroughly, and track bugs.
• Perform thorough regression testing when bugs are resolved.

Company Summary

 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 Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

At Zeta Global, identity is at the core of our marketing cloud. The Identity team builds and operates backend services that power the Zeta Identity Graph - collecting, resolving, and maintaining billions of behavioural, demographic, and transactional signals. These services enable people-based marketing at scale, ensure trust and transparency in how identity data is managed, and provide critical APIs and event streams consumed across Zeta’s platform. Our systems support more than 235 million consumer profiles and process billions of events monthly, requiring services that are highly available, low-latency, and built to scale.

We are looking for a Lead Software Engineer who brings strength in both backend distributed systems and data engineering. In this role, you’ll design APIs and event-driven services, scale our systems to handle rapidly growing data volumes, and modernize our platform for resilience, transparency, and performance.

You Will:

• Design and build backend services and APIs for identity resolution, graph transparency, and integrations.
• Develop and optimize event-driven pipelines and workflows processing billions of signals.
• Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments.
• Ensure reliability, observability, and scalability across services and data pipelines.
• Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions.
• Mentor engineers and influence architecture and roadmap decisions.

You Have:

• 7+ years of experience in backend and/or data engineering at scale.
• Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design.
• Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi).
• Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes).
• Solid knowledge of SQL, data modelling, and cloud platforms (AWS).
• Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Elasticsearch)
• Knowledge of performance optimization and resilience patterns (caching, retries, fault tolerance).
• Familiarity with CI/CD and automated testing practices for backend services.
• Strong communication skills and a track record of driving technical direction and mentoring teams.

Bonus Skills:

• Experience with large-scale or multi-tenant distributed systems.
• Exposure to real-time streaming frameworks (Flink, Storm).
• Knowledge of open table formats (Iceberg, Hudi, Delta Lake).
• Background in security, compliance, or privacy related to identity systems.

Company Summary:

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 Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

We invite you to explore this opportunity to be a part of the Zeta family……

Should you need any assistance or require further information, please do not hesitate to contact us.

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

Key Responsibilities

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

Required Qualifications:

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

Preferred Qualifications:

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

WHO WE ARE 

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

PEOPLE & CULTURE AT ZETA

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

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

ZETA IN THE NEWS!

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

As a senior member of the Software Engineering team, you will join the group responsible for designing, developing, and owning the distributed systems CRM platform for Zeta. You will collaborate with your fellow Engineers and Product Managers to develop a roadmap and subsequent projects to build the next-generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment.

You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and be passionate about working with high-throughput systems where the issues of throughput, performance, redundancy, and concurrency are paramount.

Responsibilities:

• This position will be responsible for the design and development of the next generation of our mobile communication services, like SMS/MMS/RCS (Rich Communication Services), etc. Knowledge and experience of working on RCS would be a plus.
• Responsible for independently and cooperatively understanding business requirements, designing, and implementing core components for a real-world marketing automation platform.
• Designing and implementing application code to satisfy product requirements
• Ensuring high product quality through rigorous code reviews and unit tests
• Fixing bugs and implementing enhancements
• Taking ownership of a significant product component in design and implementation 

Requirements:

• We are looking for exceptional talent with superior academic credentials and a solid foundation in computer science and distributed systems design and development.
• The candidate will have had at least 6 years of experience developing scalable, robust software platforms using Java/Ruby/Python or an equivalent language.
• A Bachelor’s degree in Computer Science or a related field from a university where the primary language of instruction is English is strongly preferred.
• Strong communication skills in a large, distributed development team environment are essential.

Qualification:

• BS or MS in Computer Science or related field
• 5 - 8 years of working experience with Python, Ruby and/or J2EE technology or equivalent OO paradigm
• Strong knowledge and experience with Kafka, Elastic Search, NoSQL databases such as Aerospike, Thrift, CI, and AWS.
• Experience working with container-based solutions is a plus.
• Demonstrated working experience with, and quick adoption of, AI tools and AI-based development practices.
• Experience working in a fast-paced technology environment.
• Strong object-oriented programming and design skills.
• Excellent problem-solving, critical thinking, and communication skills.
• Ability and desire to learn new skills and take on new tasks.

Company Summary

Zeta Global is a 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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc 300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross channel-campaign-management-reports-by-independent-research-firm-300938241.html 

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 

Greetings From Zeta Global !!

Zeta Marketing Platform (ZMP) is a machine learning/AI powered customer acquisition and CRM multi-tenant platform. The backend developer will work on server-side APIs and services that enable a highly distributed event pipeline and a stack that gets tens of thousands of messages per second.

As a senior member of the Software Engineering team, you will join the group responsible for designing, developing, and owning the distributed systems CRM platform for Zeta. You will collaborate with your fellow Engineers and Product Managers to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment.

You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and be passionate about working with high-throughput systems where the issues of throughput, performance, redundancy, and concurrency are paramount.

Key Responsibilities:

As a Senior Software Developer, you will be:

• Responsible for independently and cooperatively understanding business requirements, designing, and implementing core components for real-world marketing automation platform.
• Designing, implementing application code to satisfy product requirements
• Ensuring high product quality through rigorous code reviews and unit tests
• Fixing bugs and implementing enhancements
• Taking ownership of a significant product component in design and implementation

Requirements:

• We are looking for exceptional talent with superior academic credentials and a solid foundation in computer sciences and distributed systems design and development.
• The candidate will have had at least 4 years of experience developing scalable, robust software platforms using Java/Ruby/Python or an equivalent language.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• Strong communication skills in a large-distributed development team environment are essential.

Qualification:

• BS or MS in Computer Science or related field
• 5+ years of working experience with Python, Ruby and/or J2EE technology or equivalent OO paradigm
• Strong knowledge and experience with Kafka, Elastic Search, NoSQL databases such as Aerospike, Thrift, CI, and AWS.
• Experience working with container-based solutions is a plus.
• Experience working in a fast-paced technology environment.
• Strong object-oriented programming and design skills.
• Excellent problem solving, critical thinking, and communication skills.
• Ability and desire to learn new skills and take on new tasks.

Company Summary

Zeta Global is a 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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

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 

Zeta Marketing Platform (ZMP) is a machine learning/AI powered customer acquisition and CRM multi-tenant platform. The backend developer will work on server-side APIs and services that enable a highly distributed event pipeline and a stack that gets tens of thousands of messages per second.

As a senior member of the Software Engineering team, you will join the group responsible for designing, developing, and owning the distributed systems CRI 1 platform for Zeta. You will collaborate with your fellow Engineers and Product managers to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment.

You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and be passionate about working with high-throughput systems where the issues of throughput, performance, redundancy, and concurrency are paramount.

 Key Responsibilities:

 As a Senior Software Developer, you will be:

• Responsible for independently and cooperatively understanding business requirements, designing, and implementing core components for real-world marketing automation platform.
• Designing, implementing application code to satisfy product requirements
• Ensuring high product quality through rigorous code reviews and unit tests
• Fixing bugs and implementing enhancements
• Taking ownership of a significant product component in design and implementation

Requirements:

• We are looking for exceptional talent with superior academic credentials and a solid foundation in computer sciences and distributed systems design and development.
• The candidate will have at least 4 years of experience developing scalable, robust sohware platforms using Java/Ruby/Python or an equivalent language.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• Strong communication skills in a large-distributed development team environment are essential.
• Experience in Advertising Attribution domain is a plus

Requirements:

• BS or MS in Computer Science or related field
• 4 - 8 years of working experience with J2EE technology, Python or equivalent OO paradigm
• Strong knowledge and experience with Kafka, Elastic Search, Airflow, NoSQL databases such as Aerospike,Thrift, Cl, and AWS.
• Experience with SQL languages
• Experience working with container-based solutions is a plus.
• Experience working in a fast-paced technology environment.
• Strong object-oriented programming and design skills.
• Excellent problem solving, critical thinking, and communication skills.
• Ability and desire to learn new skills and take on new tasks.

 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 Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

We invite you to explore this opportunity to be a part of the Zeta family……

Should you need any assistance or require further information, please do not hesitate to contact us.

Reports To

Software Engineering Manager

We are seeking a Senior Software Engineer to play a vital role in developing our Energy Management platform. In this influential position, you will help shape, build, and sustain a robust suite of micro-services. Your work will significantly affect our long-term technical

strategy. This role demands practical experience in every stage of microservice development, including architecture design, coding, deployment, and monitoring.

What You Will Be Doing

• As a member, you will participate in major initiatives and opportunities, demonstrating your well-rounded skills in communication, technology, and execution to bring a project from inception to general availability for customers.
• You will play a key role in designing industry-leading standards and solutions to develop new solutions and scale ChargePoint to support real-time communication with millions of charging stations.
• As part of the Energy Management team, you will represent Cloud services by executing initiatives in collaboration with cross-functional teams such as Product, Embedded Platform, Quality, Support, and Operations.
• Your goal is not only to resolve their concerns but also to work with them to define and build better solutions. You will work on code directly impacting the business, including developing and maintaining real-time Energy Management solutions that optimise EV charging efficiency.
• Additionally, you are expected to improve the team by contributing to code reviews, documentation, and the development process. You will also champion organisational principles by helping to define and uphold them.

Requirements

• 4+ years of experience building back-end software
• Hands-on with JVM Language is a must, such as Java/Kotlin
• Working experience with Spring Boot, Kafka, and Kubernetes,
• Working experience with modern software architecture components (e.g. Distributed Systems, Containerization, Micro Services, Observability, etc.)
• Working experience in one of the cloud providers (AWS, GCP, Azure, etc.)
• Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering, and Math)
• Good in CS fundamentals - data structures, algorithm design, problem-solving, and complexity analysis.

Personal/Leadership Attributes

• Voices opinions and presents a clear rationale. Uses data or factual evidence to influence.
• Learns the organisation’s vision statement and decision-making framework.
• Able to understand how the team and personal goals/objectives contribute to the organisation’s vision.
• Completes assigned tasks on time and with high quality.
• Has the ability to break down problems and estimate time for development tasks.
• Identifies opportunities for innovation and offers new ideas. Takes the initiative to experiment with new software frameworks
• Adapts to new environments and changing requirements. Pivots quickly as needed. When coached, responds to need & seeks info from other sources.

Location

Bengaluru, India

The Role

We are building a real-time threat intelligence platform from the ground up. This is a zero-to-one initiative focused on streaming critical security data to enterprise teams at scale. As an SWE-2 on this team, you won't just be executing on a roadmap, you'll be helping us find the problems that aren't on it yet. We are looking for a backend engineer with a builder mindset who thrives in an environment where they can take ownership and help define the technical path forward.

What You Will Do

• Build & Scale: Develop and maintain high-performance backend services using Python or Golang.
• Stream Real-Time Data: Build and optimize streaming architectures to handle live threat intelligence with low latency.
• Search & Indexing: Implement and tune OpenSearch/Elasticsearch layers to ensure massive datasets are searchable and actionable.
• Define the "How": Take high-level goals and translate them into technical specs and clean, maintainable code.
• Cloud Ownership: Manage your own deployments and infrastructure within AWS/EKS.
• AI-Augmented Development: Use AI tools to speed up development cycles and automate routine backend tasks.
• Collaborative Innovation: Work closely with the team to identify architectural gaps and proactively suggest improvements.

Must Haves

Nice to Have

• Frontend Basics: Familiarity with React/TypeScript for building internal tools or data visualizations.
• Security Context: An interest in cybersecurity or experience working with security data.
• Tooling: Experience using modern AI productivity tools to increase engineering velocity.

Education

Bachelor of Science degree in Computer Science, Applied Sciences, Information Systems, or a closely related engineering field.

About Zuora

At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.

We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.

The Opportunity

We’re looking for a strong technical contributor to drive AI/ML innovation and deliver real business impact through intelligent solutions.

You’ll:

• Identify high-impact opportunities using AI/ML to solve customer and business problems
• Partner with stakeholders and influence decisions through data-driven insights
• Build and deploy end-to-end ML models (including LLMs) using structured and unstructured data
• Collaborate with engineering teams to develop scalable data and ML pipelines
• Take full ownership from idea to production, delivering measurable business outcomes

This role is ideal for someone who can combine deep technical expertise with business thinking to simplify complexity and build impactful, production-ready AI solutions.

About You

1. 7+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience
2. Curious mind to learn, explore and identify biggest customer opportunities
3. Build strong relationships across both technical and business/product teams, earn trust with leadership
4. Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay
5. Willingness to dive deep into the tech stack as well as hands-on coding
6. Experience in building end to end ML models, across the ML lifecycle
7. Strong communication and leadership presence
8. Technical skills- hands on with scripting required, with knowledge or willingness to learn tools/softwares. Knowledge of R, SQL, Python, Statistical modeling, experience with AWS/Azure/GCP ML suite
9. Experience in the following domains/industries preferred- SaaS, ecommerce, pricing or payments
10. Bachelors/Masters in a technical or natural sciences domain from a top university

Even if you feel like you meet some, but not all of the qualifications, we would love it if you take the time to apply to the role. As we evolve and scale up a relatively new team, we strongly believe that a diverse team structure will accelerate progress towards our objectives.

The Team

Zuora Platform Tech is at the forefront of technological and business transformation, tackling complex, ambiguous problems to drive innovation. As part of the AIMS team (AI, ML, and Science), you’ll work on applying advanced AI and data science to enable total monetization across Zuora’s product suite and beyond.

The team operates at the intersection of AI, business strategy, and product innovation, solving high-impact problems like pricing, forecasting, segmentation, and optimization. The tech stack includes Java, Spring, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform, and AngularJS.

Benefits

Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:

• Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
• Medical, dental, and vision insurance
• Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
• Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
• Learning & development stipend to support ongoing growth
• Opportunities to volunteer and give back, including charitable donation matching where available
• Mental wellbeing resources and support

*Benefits may vary by location; details will be shared during the interview process

#ZEOLife at Zuora

ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:

• Collaborate deeply across teams and regions
• Learn constantly and iterate often
• Build an inclusive, high-performance culture where people feel inspired, connected, and valued

Our Commitment to an Inclusive Workplace

Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.

Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior Software Engineers who crave variety and ownership. Whether your expertise is in front-end, back-end, test automation, ops, or infrastructure, you’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. 

You Will:

• Work on all areas of the software from front end, back end, cloud infrastructure and test automation
• Drive high standards within the team for all internal services and open source tooling/libraries we maintain
• Deploy service and infrastructure changes frequently in a lean agile environment using full CI/CD
• Contribute in all aspects of product development: idea generation, customer engagement, planning, design, prototyping, execution, shipping, and operational excellence
• Collaborate with a team of passionate, engaged engineers, and with cross-functional teams that include product managers, UX designers, UX researchers, and more
• Actively mentor more junior engineers, showing how to balance customer delivery while holding high coding, service, and cloud infrastructure standards
• Apply different approaches to problem solving and help validate your ideas and those of your teammates
• Strategically apply and champion AI tools within your team's domain to improve project execution, system design, quality, and debugging, leading adoption of AI best practices and driving measurable productivity gains
• Help define success for yourself, your team, and the features you help to conceive, build, and ship
• Perform other duties as assigned

You Are:

• 7+ years of experience in Backend / Fullstack development
• Proficient with at least one of the following: Golang, Java, Node.js
• Familiar with algorithms, data structures, and coding best practices
• Curious, and always want to get to the bottom of why things work the way they do
• A supportive leader. You want to help people get unstuck, and can easily recognise that teams are more effective when colleagues look for opportunities to help one another.
• A great communicator. You can break a concept down based on your audience, whether they’re technical or non-technical - and your medium, whether it’s verbal, in prose, or in code
• A builder who takes pride in your craft and works toward quality
• An empathic individual who can help translate customer feedback and needs into features that solve problems
• Someone who views bugs, mistakes, and compiler errors as opportunities to learn
• Legally eligible to work in India on an ongoing basis
• Fluency in English is required

You Have:

• Experience with distributed systems at scale
• Understands event-driven architecture’s principles, advantages and limitations, and can apply it appropriately
• Hands-on experience with Kinesis, Kafka, or similar
• Experience with Go or other C-like languages such as Java
• Experience with improving large-scale event processing systems is desirable
• Experience with database log streams e.g. MS-SQL Transaction Logs, MySQL Bin Logs is desirable
• Experience with stream processing frameworks such as Flink, Spark, or other is desirable
• Squad lead or team lead experience is desirable

About the role 

The Senior Integration, API & Automation Engineer is a hands-on technical lead role responsible for shaping and executing Rubrik’s enterprise API, integration, and AI‑driven automation strategy.

Broadly, the role will focus on designing, building, and governing secure, scalable APIs and integrations between our core business platforms and third‑party systems (e.g., ERP, HCM, CRM, data platforms), while mentoring engineers and driving best practices across the organization. In addition, this role will help us embed AI capabilities (LLMs, Claude, decisioning services, intelligent workflows) into APIs and business processes to improve reliability, productivity, and insight.

You will work closely with senior business stakeholders, application owners, security, data, and IT teams to define API‑first, AI‑aware integration patterns and standards that deliver robust, secure, real‑time and batch integrations using REST APIs, webhooks, messaging, file‑based interfaces, and AI services.

This role will primarily leverage MuleSoft Anypoint Platform (or similar iPaaS) for API‑led connectivity and sits within the Enterprise Integrations & Intelligent Automations team as a key technical authority.

What you'll do

• Own the API and integration architecture and strategy for assigned domains, defining API‑led patterns (Experience, Process, and System APIs), reference architectures, and standards for how systems integrate across the enterprise.
• Design, build, and evolve RESTful APIs that expose well‑designed resources and operations to internal and external consumers, with clear contracts, documentation, and SLAs.
• Lead implementation of integrations between SaaS and on‑prem applications (e.g., NetSuite, Workday, Salesforce, Snowflake, ServiceNow), Finance, HR, Security, and GTM platforms, ensuring solutions are scalable, secure, resilient, and observable.
• Create data integration strategies for high volumes of data in transit, optimizing for performance, reliability, and cost (e.g., streaming vs. batch, push vs. pull APIs, caching, backoff strategies).
• Define and enforce API governance, including:
• Provide technical leadership to integration and API engineers, including solutioning, design reviews, code reviews, and mentoring of junior and contract engineers.
• Implement and manage REST/SOAP APIs, webhooks, and messaging interfaces from conceptual design through development, performance testing, deployment, and lifecycle management via an API gateway or iPaaS (e.g., MuleSoft Anypoint Platform).
• Architect robust data integrations for both real‑time and scheduled (batch) workloads using APIs, messaging, sFTP, and file‑based exchanges (JSON, XML, CSV), with well‑defined contracts, SLAs, and monitoring.
• Define non‑functional requirements (NFRs) and SLAs for APIs and integrations—availability, latency, throughput, error budgets, RTO/RPO—and ensure designs and implementations meet or exceed them.
• Drive observability and reliability for APIs and integrations by standardizing logging, tracing, metrics, dashboards, and alerting, and by creating operational runbooks for incident response and post‑incident reviews.

AI & Intelligent Automation Responsibilities

• Identify and prioritize AI opportunities within API and integration flows (e.g., data enrichment, anomaly detection, routing, summarization, classification, intent extraction).
• Define safe and governed AI usage within APIs and integrations, including:
• Clear input/output contracts for AI services
• Guardrails (prompt design, validation, constraints)
• Handling of sensitive data (PII/financial/HR data) in prompts and responses
• Monitoring for model performance and drift in production.
• Integrate with AI platforms and services (internal or external), including model APIs, vector stores, and feature stores, using strong API design and security practices.

Stakeholder, Security, and Platform Responsibilities

• Partner with security, compliance, and audit teams to ensure integrations, APIs, and AI services meet security, privacy, and regulatory requirements (e.g., SOX‑sensitive data flows, access control, encryption, audit trails).
• Lead technical discovery and solution design for new API, integration, and AI‑automation initiatives, working with product managers, application owners, and business stakeholders to shape requirements and translate them into well‑defined technical designs.
• Own vendor and platform technical relationships for integration technologies and key SaaS systems; understand vendor APIs and change roadmaps, anticipate the impact of deprecations, and coordinate upgrades and migrations.
• Oversee CI/CD practices for APIs, integrations, and AI services, including branching and release strategies, automated testing (unit, integration, regression), and environment configuration management for Dev/QA/UAT/Prod.
• Champion reuse and standardization by building and curating shared assets such as:
• Generic APIs (e.g., email, JIRA, logging, AI utility services)
• Common connectors and API client libraries
• Templates and integration catalogs
  and ensuring they are adopted broadly.
• Participate in and improve KTLO/on‑call rotations for critical APIs, integrations, and AI services, using incident data to drive structural improvements, technical debt reduction, and increased reliability.
• Communicate clearly with technical and non‑technical audiences, producing architecture diagrams, decision records, and documentation that make complex API, integration, and AI solutions easy to understand, operate, and evolve.

Experience you'll need

• Education & Experience

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
  • 10+ years of overall software/integration engineering experience, with 8+ years focused on API and enterprise integrations.
  • 4+ years in a senior/lead/architect capacity, owning API and integration designs, patterns, and technical decisions for complex cross‑system and enterprise application solutions.
  • Experience designing and delivering AI‑enabled features or workflows as part of production systems (e.g., integrating with LLM or ML APIs, AI‑based decisioning, or intelligent automation).

Technical Skills – API Engineering

• Deep expertise in RESTful API design and implementation, including:
• Resource modeling, URI design, and standard HTTP methods
• API‑first/contract‑first design (RAML/OpenAPI)
• Pagination, filtering, sorting, and partial responses
• Versioning strategies (URL, header, content negotiation)
• Idempotency and robust error handling patterns.
• Strong experience building secure, resilient, and scalable APIs, including:
• API gateways (e.g., MuleSoft, Apigee, Kong, AWS API Gateway)
• Rate limiting, throttling, caching, and circuit‑breaker patterns
• Timeout, retry, and backoff strategies.
• Solid understanding of webhooks and event‑driven APIs, including subscription management, signature validation, replay protection, and idempotent consumers.
• Hands-on experience with API client development and integration patterns (SDKs, service‑to‑service communication, backend‑for‑frontend, composite APIs).

Technical Skills – Integration & Platforms

• Strong experience with MuleSoft Anypoint Platform (or equivalent iPaaS), including API Manager, Runtime Manager/CloudHub, Anypoint Exchange, and design/deployment best practices.
• Solid understanding of SOAP services, messaging patterns (pub/sub, event‑driven integrations), and when to apply each.
• Proficiency with integration data formats and transformation (JSON, XML, CSV, mapping, enrichment, aggregation, canonical models).
• Strong database and data modeling skills, including SQL and working with relational databases (e.g., Postgres, SQL Server, Oracle) in integration scenarios.
• Experience designing and implementing secure integrations, including:
• OAuth 2.0/OpenID Connect
• API keys and mutual TLS
• Role/permission models and fine‑grained authorization
• Secrets management (e.g., HashiCorp Vault, cloud KMS).
• Hands‑on experience with CI/CD pipelines and Git‑based workflows, including automated testing, static analysis, deployment automation, and environment configuration for API and integration services.
• Demonstrated experience integrating with several of the following: NetSuite, Workday, Salesforce, Snowflake, ServiceNow, Coupa, DocuSign, ChromeRiver, Marketo, identity/IAM platforms, external APIs, and internal APIs.
• Practical experience working with AI/ML or LLM APIs (e.g., OpenAI, Azure OpenAI, Vertex AI, Bedrock, or internal model APIs), including:
• Designing API requests and responses for AI‑backed features
• Prompt engineering and response validation
• Handling rate limits, retries, timeouts, and partial failures within integration flows.
• Familiarity with event‑driven and streaming architectures (e.g., Kafka, EventBridge, Event Hubs) and how to combine them with AI services for near real‑time decisioning and automation.

Soft Skills

• Proven ability to lead without direct authority, influencing cross‑functional teams and driving technical decisions through clarity and data rather than hierarchy.
• Strong architectural thinking and problem‑solving skills, including the ability to decompose complex business processes into robust API, integration, and AI‑enabled designs.
• Excellent communication and documentation skills, comfortable presenting solutions and trade‑offs to engineers, managers, and senior business stakeholders.
• Experience working in agile environments, collaborating closely with product owners, scrum teams, and distributed stakeholders across time zones.
• Bias toward automation, standardization, and continuous improvement, with a pragmatic approach to balancing speed, risk, and long‑term maintainability.

Preferred Qualifications

• Professional MuleSoft certifications (e.g., MuleSoft Certified Integration Architect, MuleSoft Certified Developer) or equivalent certifications from other integration platforms.
• Experience designing and operating public or partner-facing APIs with clear productization (API lifecycle, developer experience, SLAs, and commercial considerations).
• Experience designing and operating integrations in regulated or security‑sensitive environments (e.g., SOX, FedRAMP, customer‑facing APIs) with a strong emphasis on auditability and change control.
• Experience with event‑driven and streaming platforms (e.g., Kafka, AWS EventBridge, Azure Event Hubs) and their role in modern API and integration architectures.
• Exposure to automation/workflow platforms (e.g., Zapier, Workato, low‑code tools) and how they complement enterprise integration layers and AI‑based automation.
• Experience building and maintaining API and integration runbooks, catalogs, and governance processes, and contributing to enterprise architecture forums or design reviews.
• Experience with observability stacks (e.g., Datadog, Splunk, New Relic, OpenTelemetry) for monitoring APIs, integrations, and AI services in production.
• Familiarity with data and AI governance concepts (e.g., data classification, lineage, model governance, responsible AI practices) and how they apply within API, integration, and automation patterns.

Responsibilities

• Be part of a trading systems engineering team, dedicated to building out the core trading platforms.
• Work closely with cross functional teams to improve the system reliability, scalability and security.
• Engage in and improve the quality supporting the platform.
• Build and manage systems, infrastructure and applications through automation.
• Provide operational support to internal teams working on the platform.
• Work on improvements to bring in high efficiency, reduce latency, deploy systems faster.
• Practice sustainable incident response and blameless postmortems.
• Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents.
• Implement and maintain rigorous security best practices across all infrastructure, with a focus on minimizing attack surface and ensuring data integrity.
• Monitor system health and performance with a keen eye for identifying and resolving issues before they affect trading activity.
• Manage user queries and service requests (often requiring in depth analysis of the technical and/or business logic of our systems).
• Proactive approach to problem analysis and resolution of production incidents.
• Manage Issue tracking and prioritisation of day to day production incidents.
• Manage platform trading support initiatives (e.g. platform monitoring, reporting, release automation).

 Minimum Qualification

• Bachelors with 5+ years of working experience as Site Reliability Engineering (SRE) / Devops Engineer
• Strong knowledge of Linux system internals (kernels, memory management, file systems & network I/O optimization) as well as bash scripting.
• Minimum 3-5 years experience in a Front Office Trading Floor or related application support experience.
• Need to be available to work in US (Night) Shift
• Good product knowledge in financial instruments including experience in managing front to back trading lifecycle and familiar with order life cycle (Equities, FX, Crypto etc).
• Experience with electronic trading platforms and OMS/EMS systems.
• Knowledge of ITIL practices including Incident, Problem and Change management.
• Experience with system monitoring platforms.
• Proven expertise optimizing systems for lowest latency performance and productionizing trading systems, from initial concept to full deployment, including on-prem and colocation.
• Strong working knowledge of network communications fundamentals TCP/IP and UDP
• Knowledge of FIX protocol, as well as familiarity with low latency multicast with Aeron.
• Strong skills around observability, debugging and performance tuning, with a willingness to dive-deep to determine the root cause, 
• Effective communicator, with the ability to explain root causes in plain language, then outline plans and recommendations to remediate and ultimately to execute plans that systematically resolve issues.
• Demonstrated ability to build tools that enable rapid operational triage; leveraging logs, performance telemetry metrics and traces to make Grafana dashboards (or similar) 
• Strong experience deploying and managing Cloud infrastructure with providers like AWS, Azure and/or GCP (accounts, profiles, IAM roles, Policies, service classes, instance types, etc.)
• Strong experience adapting workloads to use Cloud Native technologies, like kubernetes and docker etc. (Dockerfile, docker-compose, helm charts, deploy manifest, ingress wiring, service mesh, etc.)
• Expertise using devops deployment tooling, like Github Actions, Jenkins, ArgoCD and Ansible.
• Hands-on experience developing in one or more programming languages: C, C++, Java, Python, or Go.
• Proficient in utilizing C++ build systems such as CMake and building CI/CD pipelines for trading systems.
• Working knowledge of key backing services like mysql, PostgresDB, Redis, MongoDB, DynamoDB, Kafka, RabbitMQ, etc.

 Key attributes critical to success:

• Strong interpersonal skills and the ability to communicate confidently and clearly with internal teams and external counterparts..
• Ability to analyse complex scenarios from both a technical and business perspective and deliver solutions.
• A sense of urgency, and an ability to deliver to deadlines in an environment where multiple competing requirements are a part of the job.
• Proactivity and a strong ownership ethos, ensuring that queries are resolved through to completion.
• Desire and ability to deliver improvements to the platform.

Preferred Qualification

• Extensive experience with DevOps for Deployment automation and App level support, as well as SRE and/or Linux systems Administrator for systems and infrastructure level support.
• Extensive experience in a Low Latency Electronic trading environment, where high performance is critical at all stages of the infrastructure, network and application design and implementation.
• Expertise in developing advanced observability capabilities (USE-RED signals, Tracing, front end observability etc) 

Bonus Points:

• Experience with hardware acceleration technologies (FPGAs, GPUs, LPU, TPU).
• Experience with financial data security regulations (PCI DSS, SOC 2).
• Familiarity with algorithmic trading strategies and quantitative analysis concepts.

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 12–15+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

• Documentation and teaching: you make complex systems understandable; you uplevel teams. 

The Challenge 

We’re looking for a Principal Software Engineer with a passion for solving problems to join our agile Product Engineering team at OneTrust. Principal Software Engineers are responsible for developing, contributing to decisions related to design and architecture of new frontend and/or backend features while supporting existing development efforts for our industry-leading platform.

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

SHOULD YOU ACCEPT THIS CHALLENGE...

This is an opportunity to be one of the seed members of a growing product team in the FlashBlade BU, one of the fastest growing at Pure. With the FlashBlade product, we are building a scale-out all-flash file and object store, designed for the modern world. To really understand how our customers work with data, we are deeply immersed in AI, modern backup, log analytics with Splunk and Elastic, data pipeline with Kafka, cluster computing with Spark, and many more use cases.

You will love it on the FlashBlade team if you:

• Want to understand how modern applications - like AI or Splunk - work with data and how we can make it better. 
• Enjoy working with distributed systems, algorithms, operating systems, Linux kernel, database internals, hypervisors, containers, compilers and hardware... or at least some of those.
• Are ready to dive into a complex problem and be the one who will drive it to a resolution.

Want to work with other great engineers and develop or refine skills that will serve your entire career.

If you, like us, say “bring it on” to exciting challenges that change the world, we have endless opportunities where you can make your mark.

WHAT YOU’LL NEED TO BRING TO THIS ROLE...

• Design, collaborate and implement creative new algorithms and technologies for high-performance, highly reliable systems (think six 9’s).
• Own and deliver innovation end-to-end, from concept to shipped product.
• Analyze and solve challenging problems through persistence and insight.
• Engage and effectively interact with stakeholders across product management, product development, system validation, support and even customers.
• Work as a team with smart peers who inspire you and who are inspired by you.
• Make customers really happy, because that’s why we do what we do.
• Learn a ton, whether you know a lot, or nothing about system software.
• Ownership E2E design development and also quality enterprise product/application deliverable exposure.
• A track record of setting and achieving high standards.
• Strong understanding of modern technology architecture

MINIMUM QUALIFICATIONS (EDUCATION & EXPERIENCE)

• 14+ Years of experience in Developer level Linux platform experience; Strong programming skills in C, C++, Python, Java, Go or other programming languages, and solid understanding of object-oriented programming.
• Strong foundation in data structures, algorithms and a strong understanding of threads, synchronization, concurrent programming.
• Excellent written and verbal communication skills to effectively communicate product architectures, design proposals and negotiate options across stakeholders.
• Preferred Hands-on development experience in Storage Domain and related technologies.
• Preferred experience to make strategic architectural decisions and drive design and architecture evolution by driving various arch-forums
•  Understand production systems, deployments and contribute to high availability and uptime of enterprise infrastructure deployments.
• BS in Computer Science, Information Systems, Computer Engineering, Electronics Engineering, Electrical Engineering or closely related discipline; 

Advanced degrees are a bonus

• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

SHOULD YOU ACCEPT THIS CHALLENGE...

This is an opportunity to be one of the seed members of a growing product team in the FlashBlade BU, one of the fastest growing at EverPure. With the FlashBlade product, we are building a scale-out all-flash file and object store, designed for the modern world. To really understand how our customers work with data, we are deeply immersed in AI, modern backup, log analytics with Splunk and Elastic, data pipeline with Kafka, cluster computing with Spark, and many more use cases.

You will love it on the FlashBlade team if you:

• Want to understand how modern applications - like AI or Splunk - work with data and how we can make it better. 
• Enjoy working with distributed systems, algorithms, operating systems, Linux kernel, database internals, hypervisors, containers, compilers and hardware... or at least some of those.
• Are ready to dive into a complex problem and be the one who will drive it to a resolution.

Want to work with other great engineers and develop or refine skills that will serve your entire career.

If you, like us, say “bring it on” to exciting challenges that change the world, we have endless opportunities where you can make your mark.

WHAT YOU’LL NEED TO BRING TO THIS ROLE...

• Design, collaborate and implement creative new algorithms and technologies for high-performance, highly reliable systems (think six 9’s).
• Own and deliver innovation end-to-end, from concept to shipped product.
• Analyze and solve challenging problems through persistence and insight.
• Engage and effectively interact with stakeholders across product management, product development, system validation, support and even customers.
• Work as a team with smart peers who inspire you and who are inspired by you.
• Make customers really happy, because that’s why we do what we do.
• Learn a ton, whether you know a lot, or nothing about system software.
• Ownership E2E design development and also quality enterprise product/application deliverable exposure.
• A track record of setting and achieving high standards.
• Strong understanding of modern technology architecture

MINIMUM QUALIFICATIONS (EDUCATION & EXPERIENCE)

• 8+ Years of experience in Developer level Linux platform experience; Strong programming skills in C, C++, Python, Java, Go or other programming languages, and solid understanding of object-oriented programming.
• Strong foundation in data structures, algorithms and a strong understanding of threads, synchronization, concurrent programming.
• Excellent written and verbal communication skills to effectively communicate product architectures, design proposals and negotiate options across stakeholders.
• Preferred Hands-on development experience in Storage Domain and related technologies.
• Preferred experience to make strategic architectural decisions and drive design and architecture evolution by driving various arch-forums
•  Understand production systems, deployments and contribute to high availability and uptime of enterprise infrastructure deployments.
• BS in Computer Science, Information Systems, Computer Engineering, Electronics Engineering, Electrical Engineering or closely related discipline; 

SHOULD YOU ACCEPT THIS CHALLENGE...

This is an opportunity to be one of the seed members of a growing product team in the FlashBlade BU, one of the fastest growing at Pure. With the FlashBlade product, we are building a scale-out all-flash file and object store, designed for the modern world. To really understand how our customers work with data, we are deeply immersed in AI, modern backup, log analytics with Splunk and Elastic, data pipeline with Kafka, cluster computing with Spark, and many more use cases.

You will love it on the FlashBlade team if you:

• Want to understand how modern applications - like AI or Splunk - work with data and how we can make it better. 
• Enjoy working with distributed systems, algorithms, operating systems, Linux kernel, database internals, hypervisors, containers, compilers and hardware... or at least some of those.
• Are ready to dive into a complex problem and be the one who will drive it to a resolution.

Want to work with other great engineers and develop or refine skills that will serve your entire career.

If you, like us, say “bring it on” to exciting challenges that change the world, we have endless opportunities where you can make your mark.

WHAT YOU’LL NEED TO BRING TO THIS ROLE...

• Design, collaborate and implement creative new algorithms and technologies for high-performance, highly reliable systems (think six 9’s).
• Own and deliver innovation end-to-end, from concept to shipped product.
• Analyze and solve challenging problems through persistence and insight.
• Engage and effectively interact with stakeholders across product management, product development, system validation, support and even customers.
• Work as a team with smart peers who inspire you and who are inspired by you.
• Make customers really happy, because that’s why we do what we do.
• Learn a ton, whether you know a lot, or nothing about system software.
• Ownership E2E design development and also quality enterprise product/application deliverable exposure.
• A track record of setting and achieving high standards.
• Strong understanding of modern technology architecture

MINIMUM QUALIFICATIONS (EDUCATION & EXPERIENCE)

• 14+ Years of experience in Developer level Linux platform experience; Strong programming skills in C, C++, Python, Java, Go or other programming languages, and solid understanding of object-oriented programming.
• Strong foundation in data structures, algorithms and a strong understanding of threads, synchronization, concurrent programming.
• Excellent written and verbal communication skills to effectively communicate product architectures, design proposals and negotiate options across stakeholders.
• Preferred Hands-on development experience in Storage Domain and related technologies.
• Preferred experience to make strategic architectural decisions and drive design and architecture evolution by driving various arch-forums
•  Understand production systems, deployments and contribute to high availability and uptime of enterprise infrastructure deployments.
• BS in Computer Science, Information Systems, Computer Engineering, Electronics Engineering, Electrical Engineering or closely related discipline; 

THE ROLE

As a Senior Staff Engineer on the Fleet Insights team, you will architect the backend intelligence that manages one of the world’s most advanced storage fleets. You’ll lead the technical strategy for high-throughput observability systems, transforming massive telemetry streams into automated root-cause solutions. Collaborating with cross-functional architects, you will solve systemic scale challenges that directly ensure the global reliability of Pure Storage’s infrastructure.

WHAT YOU’LL DO

• Architect Scalable Intelligence: Design and implement distributed, fault-tolerant systems for telemetry ingestion and real-time event detection, targeting $99.9999\%$ availability for mission-critical fleet observability.

• Drive Technical Strategy: Lead cross-team architectural initiatives that align long-term platform goals with product innovation, ensuring our services scale ahead of global data growth.

• Lead the Innovation Lifecycle: Own the end-to-end journey from initial prototyping of predictive fault algorithms to deploying hardened, high-impact services into production.

• Optimize Operational Excellence: Partner with Data Engineering and Support teams to define robust APIs and data models that improve developer productivity and automate complex system diagnostics.

• Influence Engineering Culture: Foster a high-performance environment through technical mentorship and design leadership, setting the standard for code resiliency and system maintainability across the organization.

WHAT YOU BRING

• Systems Mastery: Expert-level proficiency in backend languages (such as Go, Python, or Java) with a proven track record of building large-scale distributed systems, message queues (Kafka), or stream processing frameworks.

• Architectural Leadership: Demonstrated ability to lead complex, multi-team technical initiatives, making principled trade-offs between performance, scalability, and long-term maintainability.

• Data & Observability Expertise: Deep understanding of telemetry pipelines, log analytics, or cloud-native architectures (AWS/GCP) used to drive automated insights from high-throughput data streams.

• Strategic Communication: Ability to articulate a clear technical vision to both engineering peers and product leadership, translating business requirements into elegant, scalable software solutions.

• Location: We are primarily an in-office environment and therefore, you will be expected to work from the Bengaluru, India office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

About you

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

The Opportunity

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

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

What We're Looking For

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

Bonus Points For

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

#LI-VIETNAM
#LI-KG1

About the Role

We're looking for a Senior Software Engineer to join our Core Wireless team, responsible for the design, development, deployment and maintenance of all mobile network infrastructure and associated applications. You'll work at the intersection of software engineering and mobile telecoms, with a particular focus on IoT.

What You'll Do

• Design, build and maintain APIs, services, and systems across Telnyx's Wireless stack
• Debug production issues across services and multiple levels of the stack
• Troubleshoot connectivity issues across roaming partners globally
• Collaborate with engineers across the company to build new features
• Improve engineering standards, tooling, and processes

What We're Looking For

• Strong experience in one or more of: Go, Elixir, or Erlang; C++ in a telecoms context is a plus
• Familiarity with 3GPP specifications and mobile core protocols (e.g. AMF, UPF, SMF or equivalent 4G/5G elements)
• Experience with IoT platforms and mobile network systems and protocols
• Understanding of relational databases and SQL
• Practical skills in automated testing and a passion for robustness
• Strong sense of ownership, innate curiosity, and willingness to learn

Bonus Points

• Experience with IoT/M2M solution design and implementation
• Familiarity with multi-vendor IPX connectivity
• Message queues: RabbitMQ or Kafka
• PostgreSQL or exotic databases/key-value stores (e.g. ETS)
• Docker, Kubernetes, Consul, Jenkins, Prometheus
• Basics of web front-end

#LI-VIETNAM
#LI-KG1
#LI-INDIA

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

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

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

About the Role

We are seeking a Senior AI Engineer with a strong foundation in Python capabilities, and hands-on experience building Agentic AI applications that integrate with Large Language Models (LLMs) Large Language Models (LLMs). We are also looking for him to be a full-stack Engineer with hands-on experience with mobile front-end hands-on experience with mobile front-end Flutter, React-native. This role blends traditional backend engineering expertise with next-generation AI agentic systems development, requiring not just system design skills, but also creativity in prompt engineering, AI product development and working with data-rich environments.

You will contribute to the design and implementation of intelligent backend services that coordinate LLMs, agents, and data workflows to support enterprise-grade agentic systems.

Key Responsibilities

• Develop robust, scalable Java/Python based backend systems that enable the orchestration of Agentic AI workflows.
• Develop state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection.
• Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
• Hands on experience with mobile front-end Flutter, React-native etc.
• Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow, with seamless integration into production systems.
• Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models.
• Work closely with various stakeholders to design agent architectures and LLM toolchains (using frameworks like LangGraph, Crew AI, AutoGen, etc.).
• Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents.
• Collaborate with data engineers to ensure clean, efficient, and real-time access to structured and semi-structured data.
• Apply prompt engineering best practices to improve agent behavior, task accuracy, and adaptability.
• Monitor and optimize service performance, reliability, and scalability in production environments.
• Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies.
• Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development.

Required Qualifications

• 5+ years of overall experience mobile front-end Flutter, React-native etc
• 2+ years of experience in developing and deploying machine learning models and AI products in production environments.
• Experience in Agentic AI systems development using tools such as LangGraph, Crew AI, AutoGen, or similar.
• Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools (Spark, Kafka, Airflow).
• Experience integrating or orchestrating LLMs within business workflows or intelligent assistants.
• Solid understanding of prompt engineering techniques (e.g., system messages, chaining, tool invocation prompts).
• Familiarity with data engineering concepts, including pipelines, data models, and ETL workflows.
• Strong grasp of object-oriented design, data structures, and algorithms.

Preferred Qualifications

• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, RAG pipelines).
• Background in building microservices or backend systems for data-rich AI/ML platforms.
• Experience with vector databases, embedding services, or semantic search integration.
• Knowledge of cloud platforms (AWS, GCP, or Azure), containerization (Docker), and DevOps best practices.
• Experience in developing LLM-powered agents, copilots, or task bots.

What We Offer

• Opportunity to work on cutting-edge backend and AI systems, including agentic automation and LLM innovation.
• A flexible hybrid work model in our Bangalore office.
• Competitive compensation with performance-based rewards.
• A culture that promotes engineering excellence, experimentation, and growth.Access to learning platforms, technical workshops, and industry-leading AI research.

Why Join Reltio?*

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

Senior Software Engineer:

Role summary Build, evolve, and operate backend services at scale for ZoomInfo. You’ll work primarily with Node.js/TypeScript (NestJS preferred), design robust REST/GraphQL APIs, optimize MongoDB/Redis, and deploy on cloud (GCP preferred or AWS) with a strong focus on reliability, performance, security, and cost efficiency.

What you’ll do:

• Design, implement, and own microservices and REST/GraphQL APIs in Node.js/TypeScript (NestJS preferred)
• Translate product requirements into technical designs; break down work, estimate, and deliver incrementally
• Model data and optimize queries in MongoDB; implement effective caching with Redis (TTL, eviction, hot-key mitigation)
• Ship production-ready code with unit/integration tests; participate in on-call, incident response, and postmortems
• Containerize and deploy via Docker/Kubernetes; automate builds and releases with CI/CD (blue/green or canary)
• Instrument services for logs, metrics, and traces (p95/p99); continuously improve latency, reliability, and cost
• Review code, document designs, and mentor SE II/III engineers; contribute to shared standards and best practices

What you bring:

• 7+ years of software engineering experience, including 3+ years building backend services in Node.js/TypeScript
• Strong API fundamentals: versioning, pagination, authN/Z (OAuth/OIDC), and secure coding (OWASP)
• Hands-on with NestJS/Express/Fastify; familiarity with microservices patterns and event-driven workflows
• MongoDB expertise (schema design, indexing, basic sharding concepts) and Redis caching patterns
• Cloud experience on GCP (preferred) or AWS; Docker; working knowledge of Kubernetes; CI/CD with GitHub Actions/Jenkins/GitLab
• Observability skills: Datadog/OpenTelemetry/Prometheus/Grafana; confident debugging in production
• Collaboration and communication skills; bias for clean, well-tested, and well-documented code

Nice to have:

• Kafka or Pub/Sub; API Gateway/Ingress; feature flags; rate limiting and quotas
• Terraform/Helm; security tooling (SonarQube), dependency hygiene, secret management
• Performance profiling, load testing, and practical cost optimization

#LI-PM1

#LI-Hybrid

Reports To

Software Engineering Manager

What You Will Be Doing

As a PHP Developer you will join one of our teams to help maintain and enhance our cloud-based software platform for e-mobility. You will play a crucial role in ensuring the stability, performance, and scalability of the platform, working with cross-functional teams to deliver high-quality features and improvements.

What You Will Bring to ChargePoint

• Work together with other software developers to to align on project goals, architecture, and delivery timelines
• Implement and maintain scalable software solutions using PHP. Balance technical excellence with pragmatic solutions to deliver business value
• Leveraging GitOps, Kubernetes, and other tools to streamline deployment and infrastructure management
• Participating in architectural discussions, bringing forward innovative ideas, and constructively challenging others’ proposals

Requirements

• 5+ years of experience in PHP, Relational Databases (like MySQL, Postgres), Kafka, RabbitMQ,React.
• Profound experience in backend development
• Experienced in object-oriented programming
• Experienced in designing APIs
• Experienced with event-based distributed applications
• Focus on clean and readable code
• Source code management with Git
• Ability to work in a team and willingness for an open feedback culture

Location

Bangalore, India

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Senior DevOps Engineer

The Challenge

We are hiring a Senior DevOps Engineer to join the global Cloud team. You will support production customers by monitoring and maintaining a highly distributed, scalable and resilient global cloud infrastructure.

Your Mission

To work with distributed teams in order to provide support to customers through automation, deployment, incident response related tasks.

• You'll be working with the monitoring, tuning, maintenance, and support of Linux, Azure SQL, Kubernetes, Kafka, MongoDB, cloud infrastructure/services, etc.

• You will define, measure, and meet key operational metrics including performance, incidents, capacity, and availability

• You will run incident resolution within the environment, facilitating teamwork with other departments as required

• You'll build out lifecycle processes to mitigate risk and ensure platforms remain current, in accordance with industry standard methodologies

• You will automate the deployment of new software to cloud environment in coordination with DevOps engineers

You Are

Highly organized and meticulous with excellent process management skills, capable of leading multiple tasks with shifting priorities while functioning in a rapidly changing environment.

Your Experience Includes

• Bachelor’s Degree or Master’s Degree in Computer Science, Engineering or related field

• 4+ years of professional experience

• 2 or more years working with the Microsoft Azure platform (preferred) or another public cloud platform

• 1 or more years of experience in automation tools like Terraform, Linux scripting, Cloud Orchestration tools like Ansible or Chef, etc.

• Ability to write scripts in one major scripting language such as Bash, PowerShell &/or Python

• Ability to plan, schedule and monitor work activities in order to meet time and quality targets

• Understanding of Container and DevOps technologies

Extra Awesome

• Previous DevOps experience

• Experience working with in an agile B2B enterprise environment

• Experience working with distributed teams across geos

The Community You Will Join:

The Guest & Host team based out of India, operates to ensure high quality supply and merchandising differentiates our brand, by providing tools to be used by 1000+ operations agents for supply vetting and quality moderation. As Airbnb expands beyond the core, it is looking to onboard supply outside of the core stays business which requires enhancing our tools. The operational tasks we face are diverse and rapidly evolving. The current manual processes and lack of optimum tooling capabilities hinder the ability of operation agents to work more efficiently, maintain business continuity, and achieve higher scale. 

The Difference You Will Make:

As a Data Engineer on the Guest & Host team, you will play a pivotal role in shaping the systems that onboard and manage the highest quality supply across Airbnb. You’ll build robust data pipelines and platforms that power end-to-end visibility for supply operations, from onboarding and regulatory compliance to AI-assisted vetting and listing quality enforcement. Your work will directly enable operations, product, and ML teams to scale trusted supply globally, ensuring every home, service, and experience meets Airbnb’s standards. Whether it’s surfacing insights to optimize onboarding flows, enabling smarter audit triggers, or supporting nuanced licensing workflows, your contributions will be foundational to helping hosts join Airbnb efficiently and ensuring guests have access to safe, high-quality stays.
As you build and maintain key components of the critical data ecosystem, you’ll have the opportunity to contribute to creating standards and best practices for Airbnb’s Data Engineering. Your work on solving complex business challenges at scale will be instrumental in shaping the tools, processes, and standards used by the broader data community.

A Typical Day:

• Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.
• Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy.
• Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework
• Collaborate with cross-functional teams, including Data Scientists, Product Managers, andSoftware Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements.
• Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity
• Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues

Your Expertise:

• 6+ years of relevant industry experience 
• BE/B.tech in computer science or relevant technical field
• Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.
• Strong knowledge of Java, Scala, or Python, and expertise with data processing technologies and query authoring (SQL).
• Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
• Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks
• Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
• Excellent written and verbal communication skills

Have you ever wondered what happens inside the cloud?DigitalOcean (NYSE: DOCN) simplifies cloud computing so builders can spend more time creating software that changes the world. With our mission-critical infrastructure and fully managed offerings, DigitalOcean enables startups and small and medium-sized businesses (SMBs) to rapidly deploy and scale modern applications. As a remote-first organization, our employees, like our customers, are based around the world. We want people who are passionate about building features that you and your peers will loveDigitalOcean’s Managed Databases Team builds and runs the services and infrastructure for the DigitalOcean DBaaS product.We handle the full life cycle of Managed Databases from the APIs which let users create and manage their databases to software that automates the running, upgrading, and health of databases. We are looking for a seasoned engineer to work on a small team focused on Database-as-a-Service products. This role reports to the Engineering Manager of the Datastores and Messaging team within the Platform-as-a-Service (PaaS) organization in Engineering. This role will involve technical leadership to scale our database platform to meet the needs of our growing customer base. This position is able to be hired in India, located in our hub city of Hyderabad.

What You’ll Do:

• Developing external customer-facing Managed Database products (MySQL, PostgreSQL, Caching, Kafka, OpenSearch, MongoDB).
• Acting as a subject matter expert on MySQL and PostgreSQL, providing guidance on performance optimizations and administrative issues.
• Developing and maintaining distributed systems in a Kubernetes environment that is globally distributed.
• Authoring and giving feedback on technical designs.
• Developing APIs with Go.
• Mentoring other engineers on best practices and performing code reviews.
• Providing the last-line of support for DBaaS products.
• Collaborating with agile, self-managed teams of peers across other products. This includes engineers, product managers, designers, and more.
• Leveraging technologies such as Temporal, gRPC, REST, Kubernetes, Docker, Kafka, Grafana and more.
• Integrating with many components across the DigitalOcean stack.

What You’ll Add to DigitalOcean:

• 8+ years of experience working in fast-paced, agile product development environments.
• 5+ years of experience working as a subject-matter expert with PostgreSQL and/or MySQL databases.
• Strong knowledge of microservices using container workload engines and frameworks such as Docker and Kubernetes.
• A track record of building and maintaining large distributed systems.
• Experience with resilience engineering, fault tolerance, and failure domains as they relate to database backends.
• Strong spoken and written technical capabilities in developing and maintaining software.
• Experience with concurrency patterns in Go.
• Experience with CI/CD pipelines and frameworks.
• A strong background and exposure to different databases, both SQL and NoSQL paradigms.
• Familiarity with prevalent message bus and queuing technologies.
• Passion for collaborating directly with customers to discover their Jobs To Be Done, and developing simple delightful solutions to solve those jobs.
• Strong interpersonal and communication skills to collaborate and demonstrate empathy with key stakeholders, both spoken and written.

This is a hybrid role based out of Hyderabad, India. 

#LI-Hybrid 

**This is a hybrid role, requiring 2 days per week in our Bangalore office**

Reporting directly to the Director of Engineering, the Lead Engineer will guide the design and implementation of the software solutions under the User Generated Content (UGC) business division. Our teams work across the front-end (React & Elm), backend (Java/Kotlin), Data (Snowflake, dbt, Tableau), DevOps, and QA. We need a seasoned engineer who can shape the long-term design of our system. This person will guide our teams in architecting product features in a way that moves us towards that vision. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Establish and champion the high-level, long-term architectural strategy for the UGC division’s suite of products
• Ensure software architecture aligns with the established technical strategy by establishing an Architecture Review Committee
• Advocate regulatory compliance, security policies, and processes in adherence to Industry standards and 1World Sync guidelines
• Drive continuous upgrades and enhancements of the various frameworks and tools used by the applications and the team.
• Assess, identify, and mitigate common issues in the operations of the software suite preemptively
• Develop the engineering team's capability in architectural design and implementation through mentorship and enablement
• Lead the research, evaluation, and adoption of new technologies to advance and upgrade our solutions.
• Partner with product and business leadership to ensure the technical strategy effectively addresses customer requirements and business goals
• Drive enhancements in engineering-wide practices, including CI/CD, testing, monitoring, security, and developer experience tooling

WE SHOULD TALK IF THIS SOUNDS LIKE YOU 

• 10+ years of software development experience
• 7+ years of full-stack application development using Object oriented programming(Kotlin, Java) and modern frameworks
• 3+ years of experience designing and implementing solutions with AWS
• 3+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
• 5+ years of experience developing APIs for front-end applications
• 5+ years of experience with relational databases (PostgreSQL, MySQL) and large data sets
• 3+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, GitHub Actions)
• 3+ years of experience leveraging infrastructure as code using Terraform
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB, MongoDB, NoSQL) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration (AWS ECS, Kubernetes, Docker Swarm) (preferred but not required)
• Experience with Data engineering and Analytics (Snowflake, dbt, Tableau) (preferred but not required)
• AWS Solutions Architect Associate Certification (preferred but not required
• BS degree in Computer Science, a similar technical field, or equivalent practical experience

Brief about the role:

As a "DevOps Engineer 4" in Black Duck DevOps team, you will play a key role in transforming our R&D products through the adoption of advanced cloud, Containerization, Microservices, modern software delivery and other cutting edge technologies. You will be a key member of the team, working independently to develop tools and scripts, automated provisioning, deployment, and monitoring.

Experience         : 8 – 12 Years

Job location       : Black Duck, Bangalore (Prestige Blue Chip, Near Dairy Circle, Opp to Christ University)

Work Mode        : Hybrid (3 days WFO)

Required Key Qualifications & Tech skills:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• A minimum of 7+ years of experience in Site Reliability Engineering / DevOps Engineering.
• Experienced in CI/CD Pipelines & GitOps using Git hub action / GitLab / Bitbucket / ArgoCD, Harness.io, Git / GitHub - Implement GitOps for deployments
• Strong hands-on experience with Containerization & Orchestration using Docker, Kubernetes / K8s Manifests, Helm to Secure, optimize, and scale K8s
• Hands-on end to end deployment experience on Kubernetes manifests.
• Solid experience with Infrastructure as Code (IaC) using Terraform / CloudFormation / Pulumi (Preferably Terraform) - Write modules, manage state
• Proficient in Scripting & Automation using Bash, Python / Golang - Automate tasks, error handling
• Deep understanding of Cloud Platforms & Services in AWS / GCP / Azure (Preferably GCP) cloud to Optimize cost, security, and performance
• Strong background in Monitoring & Observability using Prometheus / Grafana / ELK Stack / Datadog / New Relic - Configure alerts, analyze trends
• Good understanding in Networking & Security using Firewalls, VPN, IAM, RBAC, TLS, SSO, Zero Trust - Implement IAM, TLS, logging
• Experience with Backup & Disaster Recovery using Velero, Snapshots, DR Planning - Implement backup solutions
• Basic Understanding messaging concepts using RabbitMQ / Kafka / Pub,Sub / SQS
• Familiarity with Configuration Management using Ansible / Chef / Puppet / SaltStack - Run existing playbooks
• Excellent problem-solving, organizational, and leadership skills.
• Strong communication abilities to effectively collaborate with internal teams and stakeholders.
• Certifications: CKAD, CKS, and/or CKA (Good to have)

Key Responsibilities:

• Design and develop scalable, modular solutions that promote reuse and are easily integrated into our diverse product suite.
• Collaborate with cross-functional teams to understand their needs and incorporate user feedback into the development.
• Establish best practices for modern software architecture, including Microservices, Serverless computing, and API-first strategies.
• Drive the strategy for Containerization and orchestration using Docker, Kubernetes, or equivalent technologies.
• Ensure the platform's infrastructure is robust, secure, and compliant with industry standards.

What We Offer:

• An opportunity to be a part of a dynamic and innovative team committed to making a difference in the technology landscape.
• Competitive compensation package, including benefits and flexible work arrangements.
• A collaborative, inclusive, and diverse work environment where creativity and innovation are valued.
• Continuous learning and professional development opportunities to grow your expertise within the industry.

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 6+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

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

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

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

Job Summary:

As a Staff Full-Stack Engineer at Reltio, you will be a key member of our new Data Quality team, responsible for building a cutting-edge Data Observability platform from scratch. This platform will provide automated profiling and anomaly detection across various data sources, including Cloud Data Warehouses (Snowflake, BigQuery, Databricks, Redshift), dbt, Kafka/streaming, and SaaS applications (SFDC/Dynamics). You will contribute to both the API and UI development, ensuring a robust and intuitive experience. This is an individual contributor role.

Job Duties and Responsibilities:
(IC: Knowledge | Leadership | Communication)
(MGR: Knowledge | People Management & Leadership | Strategic Impact)
● Design, develop, and maintain the Data Observability platform using Python for the agentic and backend services.
● Implement robust and scalable APIs for seamless integration with various data sources
● Collaborate with frontend engineers on UI design and contribute to UI development as needed.
● Collaborate with cross-functional teams to define requirements, design solutions, and ensure the successful delivery of the platform.
● Contribute to the entire software development lifecycle, from conceptualization and design to deployment and ongoing maintenance
● Ensure the platform's performance, reliability, and security through rigorous testing and adherence to best practices
● Mentor junior/middle engineers and contribute to a culture of technical excellence and continuous improvement.

Skills You Must Have:
● 7+ years of experience in enterprise software development, building scalable backend platforms.
● Expert hands‑on experience developing backend services and platform APIs using Python (e.g., FastAPI, Flask, Django).
● Proven track record of delivering high‑quality enterprise SaaS platforms in high‑stakes environments.
● Experience delivering SaaS applications that scale and perform with low latency and high throughput.
● Strong written and verbal communication skills. Proven track record of unit and integration testing with CI/CD as part of your development process.
● Experience working with AI and automation tools to improve productivity and delivery speed (GitHub Copilot, Claude Code, Cursor, VSCode Kilo Code, etc.)

Skills That Are Nice to Have:
● Familiarity with cloud-based development using AWS, Google Cloud Platform (GCP), and/or Microsoft Azure services (such as Lambda, S3, Pub/Sub, Dataflow, or Azure Functions)
● Ability to deliver modern, intuitive UI/UX using React.js (and optionally TypeScript) with minimal guidance.
● Background in Data Quality systems, frameworks, or tools (e.g., profiling, validation, monitoring)
● Experience or understanding of Master Data Management (MDM) concepts, data modeling, and enterprise data integration patterns
● Exposure to containerization and orchestration technologies (Docker, Kubernetes)
● Familiarity with monitoring and observability stacks (Mezmo, Grafana, etc.)

About Black Duck Software:

Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open-source components, and application behaviour. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle.

Key Requirements:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Total years of work experience: 5+ years.
• Proficiency in programming languages, primarily Java Advantage.
• Strong experience in Database - PostgreSQL - Performance optimization, Scaling
• Experience with Java, Typescript and Golang (Must).
• Experience with Distributed Microservices Architecture.
• Experience with different Service Communication technologies (Messaging queue-based communication Kafka/RabbitMQ).
• Experience with Security in Microservices Architecture and knowledge of common authentication protocols and implement and maintain security measures to protect the application and user data from unauthorized access.
• Familiarity with various authorization models, Role-Based Access Control.
• Experience with web development frameworks and Services (GRPC, RESTful).
• RDBMS (PostgreSQL) databases experience and design persistence layer for Microservices using ORMs.
• Familiarity with cloud platforms (AWS, GCP, Azure), including a background in Cloud infrastructure & Services (network, cloud storage-related solutions, IAM, Cloud function, etc.).
• Excellent problem-solving skills, with an ability to troubleshoot complex issues efficiently.
• Ability to work effectively in a collaborative team environment and communicate with both technical and non-technical stakeholders.

Key Responsibilities:

• Ensure the timely delivery of high-quality software that meets business requirements and maintains high performance in production environments.
• Contribute to the design and development of cloud-native applications using Golang, ensuring scalability, reliability, and security.
• Provide technical leadership and mentorship to a small team of engineers, guiding them through best practices and technical challenges.
• Conduct code reviews and perform thorough testing to identify and resolve issues.
• Collaborate closely with other engineering teams, product managers, and stakeholders to define technical solutions and deliverables.
• Communicate effectively with stakeholders to provide updates on progress, challenges, and solutions.

About Black Duck Software:

Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open-source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle.

Summary of the role:

• We are looking for a highly skilled and motivated Engineer to join our dynamic team.
• In this role, you will contribute to the development of cloud-native software solutions and the design and implementation of batch job orchestration systems using Java, Postgres, Docker, Kubernetes and any cloud platforms such as AWS, GCP, and Azure.
• Your responsibilities will also include mentoring a small team of engineers to ensure the delivery of high-quality software on schedule.
• If you are passionate about cloud technologies, microservices architecture, and working with large-scale data, this is an excellent opportunity to advance your career.

Key Requirements:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Total years of work experience: 5+ years.
• Proficiency in programming languages, primarily Java Advantage.
• Strong experience in Database - PostgreSQL - Performance optimization, Scaling
• Experience with containerization technologies such as Docker and Kubernetes (Must).
• Experience with Container Orchestration Technology, and certifications in Kubernetes (CKA, CKAD) are highly desirable.
• Design and develop scalable, resilient, and efficient Kubernetes-based SaaS Enterprise application
• Experience with Distributed Microservices Architecture.
• Experience with different Service Communication technologies (Messaging queue-based communication Kafka/RabbitMQ).
• Experience with Security in Microservices Architecture and knowledge of common authentication protocols and implement and maintain security measures to protect the application and user data from unauthorized access.
• Familiarity with various authorization models, Role-Based Access Control.
• Experience with web development frameworks and Services (GRPC, RESTful).
• RDBMS (PostgreSQL) databases experience and design persistence layer for Microservices using ORMs.
• Experience with Monitoring and Logging in Distributed Systems (e.g., Prometheus, Grafana) and logging solutions (e.g., ELK stack, Fluent) is a plus.
• Familiarity with cloud platforms (AWS, GCP, Azure), including a background in Cloud infrastructure & Services (network, cloud storage-related solutions, IAM, Cloud function, etc.).
• Excellent problem-solving skills, with an ability to troubleshoot complex issues efficiently.
• Ability to work effectively in a collaborative team environment and communicate with both technical and non-technical stakeholders.

Key Responsibilities:

• Ensure the timely delivery of high-quality software that meets business requirements and maintains high performance in production environments.
• Contribute to the design and development of cloud-native applications using Go, ensuring scalability, reliability, and security.
• Provide technical leadership and mentorship to a small team of engineers, guiding them through best practices and technical challenges.
• Conduct code reviews and perform thorough testing to identify and resolve issues.
• Collaborate closely with other engineering teams, product managers, and stakeholders to define technical solutions and deliverables.
• Communicate effectively with stakeholders to provide updates on progress, challenges, and solutions.

                                                                                                                                                                  Date: May 5, 2026

About Netradyne:

Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.

Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore.

For more details visit: www.netradyne.com

Job Overview: We operate large‑scale, distributed systems that process billions of events per day with strict requirements on reliability, latency, data correctness, and cost efficiency. At Netradyne, you’ll work with a talented team of engineers, data scientists, and product leaders on problems that have a direct, real‑world impact on roads, fleets, and drivers. As a Staff Engineer, you will be a deep domain owner for IOT device Ingestion while closely collaborating with the adjacent domain. Your work will shape large‑scale systems relied on by fleets, drivers, and internal product ecosystems. As a Staff Engineer – Platform, you provide strong technical leadership and hands‑on ownership of core backend services and pipelines. You will anchor one of the primary domains from Netradyne portfolio of services and influence cross‑team architecture and execution.

You are expected to:

• Own key service architectures
• Design scalable ingestion and compliance workflows
• Ensure data quality, correctness, and reliability
• Mentor engineers and drive high engineering standards

​

Key Responsibilities:​

• Architecture & Technical Ownership

• Own architecture, design, and evolution of platform services.
• Drive system design for large cross‑service features from ingestion to downstream consumers.
• Define and maintain clean service boundaries, APIs, and data contracts.

Platform & Systems Development

• Design scalable, high‑throughput ingestion pipelines for logs, telematics, and event data.
• Build and optimize streaming and batch data workflows.
• Translate  regulatory requirements into robust system behavior and guardrails.
• Ensure correctness, ordering, idempotency, and fault tolerance across workflows.

Reliability & Observability

• Define and uphold SLOs for latency, availability, and data accuracy.
• Champion best practices in logging, monitoring, tracing, and alerting.
• Design for backpressure handling, graceful degradation, and system recovery.

Data Modeling & Storage

• Design data models and partitioning strategies for hot and cold data.
• Select appropriate storage technologies (SQL, NoSQL, time‑series, object storage) balancing scale, performance, and cost.

Cross‑Team Collaboration

• Work closely with Product, Data, Compliance, and Engineering teams to deliver domain initiatives.
• Lead design reviews, contribute to RFCs, and support cross‑team architecture discussions.

Mentorship & Engineering Quality

• Mentor engineers on system design, distributed systems, and platform thinking.
• Improve code quality, documentation, and operational best practices.

Mandatory Skills

• Strong CS fundamentals (DSA & system design).
• Deep hands‑on backend experience with Java, Spring Boot.
• Strong grounding in distributed systems concepts: consistency, durability, retries, idempotency, backpressure, partitioning, resilience.
• Practical experience with Kafka / Kinesis / Pulsar or similar.
• Experience operating production systems (on‑call, incidents, postmortems).
• Excellent communication and technical leadership ability.

Preferred Skills

• Experience building high‑throughput ingestion or streaming systems.
• Exposure to compliance‑heavy or audit‑driven domains (transportation, fintech, healthcare).
• Experience with edge or intermittently connected devices.
• Hands‑on work with observability stacks.
• Prior experience in ELD / HOS / telematics is a plus.

Equal Opportunity Employer Statement: Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.

Additional Information: This position is based out in HM Tech Park, Whitefield Bangalore.​

Contact Information: For inquiries, please contact Recruiter at Jeffin.varghese.c@Netradyne.com.​​

Follow us on LinkedIn: For more information on our work culture, follow us on Netradyne: My Company | LinkedIn​

Who we are

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest growing company in Africa. Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit, and business management tools to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes most of the POS transactions in Nigeria.

Curious about what makes Moniepoint an incredible place to work?
Check out posts on how we cultivate a culture of innovation, teamwork, and growth.. 

About the role

We are seeking a highly skilled Lead Testing Tools Development Engineer to design, develop, and maintain advanced testing frameworks and automation tools. This role focuses on building scalable, reusable, and integrated testing infrastructure that supports functional, performance, and security testing across diverse platforms and environments.
.

What you’ll get to do

Tool Development & Framework Design:

• Design & implement custom test automation frameworks for functional, performance, and security testing
• Develop reusable libraries, plugins, and CLI tools to support test execution, reporting, and integration with CI/CD pipelines
• Build scalable test harnesses for distributed systems, microservices, mobile native and cloud SaaS applications.

Automation & Scripting:

• Write robust, maintainable code in Java, JavaScript/TypeScript to automate test workflows.
• Integrate tools with version control systems (Git), CI/CD platforms (Jenkins, Harness), and artifact repositories

DevOps & Infrastructure Integration:

• Containerize tools using Docker and orchestrate test environments using Kubernetes
• Implement observability into test tools using New Relic, Grafana, ELK Stack

Collaboration & Enablement:

• Partner with QE, SRE/DevOps, and development teams to understand testing pain points and deliver tooling solutions.
• Provide governance model, documentation, training, and support to enable teams to adopt and extend testing tools effectively.

Innovation & Continuous Improvement:

• Evaluate and adopt emerging technologies in the testing ecosystem.
• Contribute to internal best practices for test automation, tool development, & quality engineering.
• Familiarity with AI/ML-based test generation or test impact analysis.
• Background in developer experience (DevEx) or internal platform engineering
  
  

To succeed in this role, we think you should have

• 12+ years of experience in Quality Engineering and Tools development or similar role.
• Bachelor’s degree in computer science or a related engineering discipline.
• Strong programming skills in Java with a focus on tooling and automation.
• Proficiency in extending and customizing open-source tools such as.
  • Functional/UI Testing: Selenium, Playwright, Cypress, Appium
  • API Testing: Postman/Bruno, REST Assured, Karate
  • Performance Testing: JMeter, K6, Gatling, Locust
  • Security Testing: OWASP ZAP, Burp Suite, Nmap, Nessus
• Experience Integrating testing tools with
  • Test Management & Issue Tracking: Jira, Qmetry
  • Reporting & Analytics: ReportPortal, Allure, ExtentReports, Grafana
  • CI/CD Pipelines: Jenkins, Harness, ArgoCD, GitLab, SonarQube
  • Device Farms: BrowserStack, LambdaTest for cross-platform and mobile testing
• Experience with test data management, mocking frameworks, and service virtualization tools such as WireMock, Hoverfly, or Mockito
• Strong command of relational (SQL) and non-relational (NoSQL) databases, along with experience in publish-subscribe messaging systems like Kafka.
• Solid understanding of RESTful APIs, gRPC, WebSockets, & event-driven or asynchronous architectures
• Hands-on experience with leading cloud platforms - Google Cloud Platform (GCP), and expertise in Kubernetes for container orchestration.
• Proficient in working within Linux/Unix-based environments, including shell scripting and system-level debugging.
• Well-versed in Agile/Scrum/Kanban methodologies, with a focus on iterative development and continuous delivery.
• Demonstrated ability in problem-solving, root cause analysis, and debugging complex systems across the stack.
• Excellent communication and collaboration skills, with a proven track record of working effectively in cross-functional teams.

What we can offer you

• Culture -We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary call with the recruiter
• A call with the Hiring Manager
• A technical Interview with members of the Engineering Team 
• A technical Interview with a members of the QA Team
• A behavioral and technical interview with a member of the Executive team. 
• All Interview stages are Virtual

Moniepoint is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Software Engineer II, Backend

Job Overview:

As a Backend Developer, you will be crucial in the development, optimization, and maintenance of the server-side logic for our cloud-based SaaS applications. You will work closely with front-end developers to ensure system consistency and improve user experience. Your role will focus on writing clean, scalable code to enhance the functionality and performance of our applications.

Responsibilities:

• Develop and maintain scalable and robust backend services and APIs.
• Collaborate with front-end developers to integrate user-facing elements with server-side logic.
• Optimize applications for maximum speed and scalability.
• Implement security and data protection measures.
• Design and implement data storage solutions.
• Manage cutting-edge technologies to improve legacy applications.
• Gather and address technical and design requirements.
• Build reusable code and libraries for future use.
• Liaise with developers, designers, and system administrators to identify new features.

• Write clean, modular, and well-documented code following best practices and coding standards.
• Design and manage databases, including schema creation, queries, and optimization for relational or NoSQL databases.

• Develop and execute unit tests to ensure code quality, reliability, and robustness.
• Maintain technical documentation and participate in code reviews to foster knowledge sharing and uphold code quality.
• Optimize application performance and troubleshoot system issues to improve functionality.
• Follow emerging technologies and frameworks.

Qualifications:

• Bachelor’s degree in computer science, Engineering, or a related field.
• 5 to 8 years of experience as a backend developer
• Proven experience as a Backend Developer or similar role.
• Experience with server-side languages such as Node.js, Python or Java.
• Familiarity with front-end languages and libraries (e.g., HTML/CSS, JavaScript, XML, jQuery).
• Good Understanding of Microservices architecture.
• Hands-on experience with database technology such as MySQL.
• Deep understanding of microservices architecture and RESTful API design.
• Strong understanding of version control tools like Git.
• Familiarity with cloud platforms like AWS, and CI/CD tools.
• Some experience with Data streaming technologies like Kafka and Spark streaming for large scale data processing
• Good problem-solving skills and ability to perform well in a team-oriented environment.
• Proficient understanding of code versioning tools, such as Git.

  Nice to Have :

• Experience with Docker / Kubernetes
• Experience collaborating with remote teams across time Zones.
• Familiarity with Agile development methodologies.

About Picarro:

We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability.

At Picarro, we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, or disability. Posted positions are not open to third-party recruiters/agencies, and unsolicited resume submissions will be considered free referrals. 

At Picarro, we strive to ensure that all individuals, regardless of their abilities, have equal opportunities. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, please contact Picarro, Inc. at disabilityassistance@picarro.com for assistance. 

Job Title: Staff Software Engineer, AI

Locations: Bangalore

Reports to: Sr. Manager, AI/ML.

A quick snapshot…

As a Staff Software Engineer, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions.

Why it’s a big deal…

This is one of the critical roles in the project, where you will be an expert in product development, a good team player, and will lead and mentor your team members. We believe in using the best tools for the task at hand so the ability and desire to learn new programming languages and technologies is necessary. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day. This role determines the root cause for the most complex software issues and develops practical, efficient, and permanent technical solutions.

Are you the person we’re looking for?

Experience: 8+ years of professional software development experience, including significant experience with AI/ML or GenAI applications. Demonstrated expertise in building scalable, production-grade software solutions.

Advanced Software Development: Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability. Drive best practices in code quality, documentation, and test coverage.

GenAI Product Development: Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization. Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance.

Technical Leadership: Take ownership of architecture and technical decisions for AI/ML projects. Mentor junior engineers, review code for adherence to best practices, and ensure the team follows a high standard of technical excellence.

Project Ownership: Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers. Proactively identify and mitigate risks to ensure successful, on-time project completion.

Architectural Design: Contribute to the architectural design and planning of new features, ensuring solutions are scalable, reliable, and maintainable. Engage in technical reviews with peers and stakeholders, promoting a product suite mindset.

Code Review & Best Practices: Conduct rigorous code reviews to ensure adherence to industry best practices in coding standards, maintainability, and performance optimization. Provide feedback that supports team growth and technical improvement.

Testing & Quality Assurance: Design and implement robust test suites to ensure code quality and system reliability. Advocate for test automation and the use of CI/CD pipelines to streamline testing processes and maintain service health.

Service Health & Reliability: Monitor and maintain the health of deployed services, utilizing telemetry and performance indicators to proactively address potential issues. Perform root cause analysis for incidents and drive preventive measures for improved system reliability.

Educational : Bachelor’s degree in computer science, Engineering, or a related technical field; Master’s degree preferred.

Here’s what will give you an edge…

Technical Expertise: Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks. Deep knowledge of software design patterns, object-oriented programming, and concurrency.

Cloud & DevOps Proficiency: Extensive experience with cloud technologies (e.g., GCP, AWS, Azure), containerization (e.g., Docker, Kubernetes), and CI/CD practices. Strong understanding of version control systems (e.g., GitHub) and work tracking tools (e.g., JIRA).

AI/GenAI Knowledge: Familiarity with GenAI frameworks (e.g., LangChain, LangGraph), MLOps, and AI lifecycle management. Experience with model deployment and monitoring in cloud environments.

Preferred Skill sets/Tools:

AI & Machine Learning: Hands-on experience with advanced ML algorithms, including generative models, NLP, and transformers. Knowledge of industry-standard AI frameworks (e.g., TensorFlow, PyTorch) and experience with data preprocessing and model evaluation.

Data & Analytics Tools: Proficiency with relational and NoSQL databases (e.g., MongoDB, MSSQL, PostgreSQL) and analytics platforms (e.g., BigQuery, Snowflake, Tableau). Experience with messaging systems (e.g., Kafka) is a plus.

Testing & Quality: Experience with test automation tools (e.g., PyTest, xUnit) and CI/CD tooling such as Terraform and GitHub Actions. Strong emphasis on building resilient and testable software.

Advanced Cloud Knowledge: Proficiency with GCP technologies such as VertexAI, BigQuery, GKE, GCS, and DataFlow, with a focus on deploying AI models at scale.

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