We’re seeking a Senior Application Security Engineer to help strengthen Zeta’s application and platform security posture. You’ll play a critical role in embedding security throughout the software development lifecycle, ensuring our systems, applications, and AI-driven platforms are built securely from the ground up.

Zeta operates at massive scale, powering billions of consumer profiles and petabytes of data across real-time, AI-powered marketing platforms. In this role, you’ll collaborate with engineering and product teams to identify risks, implement secure design principles, and build automated controls that enable secure innovation.

This position offers significant technical scope, cross-functional visibility, and opportunities to contribute directly to the company’s overall security maturity.

Key Responsibilities:

Threat Modeling & Security Validation

• Conduct threat modeling and security reviews for distributed cloud-native systems.
• Perform security code reviews, static/dynamic analysis (SAST/DAST), and dependency scanning.
• Participate in incident response exercises and red/blue team simulations.
• Assess third-party libraries, APIs, and vendor integrations for security compliance.

Embedding Security into the SDLC

• Partner with developers and QA engineers to embed security testing into CI/CD pipelines.
• Review architecture and design documents to identify and mitigate risks early.
• Contribute to security automation initiatives and tooling to improve developer velocity.
• Support security checkpoints in release and deployment processes.

Emerging Threat Monitoring & Proactive Defense

• Stay current on evolving security risks, frameworks, and attack vectors, including AI/ML-specific threats (e.g., prompt injection, model poisoning).
• Assist in designing and deploying proactive defense mechanisms across applications and data platforms.
• Support investigations and post-incident reviews to strengthen detection and prevention capabilities.

Security Awareness & Policy Implementation

• Advocate secure coding and best practices through code reviews, workshops, and documentation.
• Contribute to internal security standards and playbooks.
• Collaborate closely with Engineering, DevOps, and Product teams to foster a security-first culture.

What You Need to Succeed

• Bachelor’s degree in computer science, Cybersecurity, or related field, or equivalent experience.
• 2 - 4 years of experience in Application Security, DevSecOps, or Secure Software Development.
• Strong understanding of OWASP Top 10, SANS CWE Top 25, and general application threat modeling.
• Experience with frameworks and architectures such as React, Node.js, Django, or FastAPI.
• Knowledge of securing APIs, microservices, and authentication mechanisms (OAuth2, OIDC, JWT).
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Working knowledge of security testing tools (e.g., Semgrep, SonarQube, Burp Suite, Zap, Trivy).
• Solid collaboration and communication skills with cross-functional teams.

Nice to Have

• Familiarity with AI/ML security concepts such as data poisoning, adversarial testing, and model integrity.
• Experience with automation frameworks and scripting for security testing.
• Relevant certifications (e.g., OSCP, GWAPT, CSSLP, or ML/AI-specific security certifications)

WHO WE ARE

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 

Job Title: Associate Software Engineer, AI
Location: Bangalore
Reports to: Sr. Manager, AI/ML

A quick snapshot…

As an Associate Software Engineer, you’ll be working on developing robust solutions across next-generation AI/GenAI based products and solutions. As a critical member of our team, you will play a pivotal role in enhancing our design, development, and continued enhancement of our features along with writing unit & integration tests to ensure features never break.

Why it’s a big deal…

This is one of the critical roles under the AI team within Engineering. You will possess deep technical expertise as a AI engineer and a strong commitment to participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment. This role works on multiple technologies and databases to make sure the product development moves towards rapid development, rich controls, more scalable, and better security.

Are you the person we’re looking for?

Related Experience. You should have at least 6 Months of experience in the software industry as a AI Engineer and the technical requirements necessary to design, develop, test and implement solutions.

Technical Skills. You’re likely to have proficiency in AI development technologies such as Python, FastAPI, PyTest, Celery and other Python frameworks and familiarity with AI/ML, GenAI, and MLOps concepts.  You also possess good understanding with object-oriented programming, concurrency, design patterns, and REST APIs. Your familiarity with CI/CD tooling such as Terraform and GitHub Actions and frameworks like LangChain, LangGraph, and databases like SQL and NoSQL such as MongoDB, MSSQL, or Postgres. Understanding of Data Structure & Algorithm analysis and its usage in scalable software design.

Strong communication and interpersonal skills. You’re not just comfortable engaging in collaborative discussions, but initiating them, too. You are skilled at reading and adapting to different communication styles. When you speak you are clear and concise. Your strong listening skills foster connections with our clients and allow you to accurately collect the right information so you can resolve issues most expediently.

Education. A bachelor’s degree in engineering or equivalent.

Here’s what will give you an edge…

Initiative. You don’t wait around for things to happen or for your manager to tell you what to do. You’re not only proactive about completing your work, but when you sense the need to introduce a project that will benefit the team or the organization -- even if it’s outside your scope of work -- you put a proposal together, talk to the team about it, and own it. And that also goes back to having an entrepreneurial spirit.

Strong troubleshooting skills and logic based thinking is your forte. This is an absolute must. Your proven ability to analyze and apply logical thinking to determine the root cause of an issue is fundamental to success in this role.

Clear, deliberate, and collaborative communicator. You don’t just engage in collaborative discussions, you initiate them regularly. You are clear and concise when you speak and write -- and even creative in terms of ensuring your messages are received and understood. You leave no room for assumptions or misunderstanding. It’s what sets you apart from the rest.

Exposure to mature SDLC practices. Understanding of Agile methodologies. Experience with unit testing, code coverage, and security scan tools. Proficient in working with source control tools like GitHub/Bitbucket.

#LI-RT1

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

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

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

Why this role matters:

We're looking for a skilled Full Stack Engineer to join our expanding Jumper AI / Conversational Commerce platform team. This role requires robust experience in both frontend development (Vue.js / React.js) and backend development (Golang, Gin/Echo/Fiber). You will be instrumental in the design, development, and maintenance of scalable, secure, and high-performing applications that power our conversational commerce platform. This platform is used globally by enterprises to provide personalized, omnichannel experiences to their customers.

This position offers the chance to work across the entire technology stack, from crafting intuitive and dynamic user interfaces to building APIs and backend services deployed on Google Cloud Platform. You will collaborate closely with cross-functional teams, including design, product, data, and DevOps, to deliver impactful, customer-centric solutions.

Your key responsibilities:

• Design and build interactive, responsive frontend applications using Vue.js / React.js, and modern JavaScript.
• Translate UI/UX designs from Figma into high-quality, production-ready frontend code.
• Architect, build, and maintain backend services and REST APIs using Python (FastAPI, Flask, Django).
• Integrate frontend applications with backend APIs and third-party services to deliver seamless user experiences.
• Design and optimize data models, caching strategies, and database queries for performance and scalability.
• Deploy, scale, and operate applications on Google Cloud Platform with a focus on reliability and observability.
• Collaborate closely with Product, Design, QA, and Engineering teams; conduct code reviews and mentor junior engineers.

What you'll bring

• 5 plus years of hands-on full stack development experience in production environments.
• Strong proficiency in Vue.js or React.js, modern JavaScript (ES6+), HTML, and CSS.
• Solid backend engineering experience with Golang,  Gin / Echo / Fiber.
• Experience working with SQL and NoSQL databases such as PostgreSQL, BigQuery, Redis, or Datastore.
• Hands-on experience deploying and operating applications on Google Cloud Platform.
• Understanding of secure coding practices, authentication, and authorization using OAuth2 / JWT.
• Strong collaboration skills and experience working in Agile teams using Jira and Confluence.
• Embed AI assisted engineering into daily practice to accelerate delivery and enhance outcomes
• Proactively adopt emerging AI capabilities to improve workflows and shares best practices with the team

Experience we consider a plus:

• Experience building SaaS, e-commerce, or conversational AI platforms.
• Exposure to CI/CD pipelines using GitHub Actions or GCP Cloud Build.
• Experience optimizing frontend performance, accessibility, and responsiveness across devices.

How you’ll benefit:

• Attractive Discretionary Time Off
• Private Medical Insurance with optional dependent coverage
• Educational Assistance Reimbursement Program
• Opportunities for reimbursement for conferences, trainings, and other personal development events
• Maternity and Paternity Leave
• Ask recruiter for country specific information

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.

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.)

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.

#LI-UB1

Job Title: Senior Software Engineer
Locations: Bangalore
Reports to: Director, Software Engineering

A quick snapshot…
As a Senior Software Engineer, you’ll be a key member in a team responsible for the development of scalable, reliable, and innovative AI/GenAI solutions. You’ll contribute to high-priority projects, ensuring maintainable code and producing high-quality, production-ready applications. You’ll operate with a high degree of technical expertise, strategic thinking, effective collaboration across diverse teams, while helping to mentor and elevate others to meet a very high technical bar.   

Why it’s a big deal…  

You will be a key contributor to delivering Conga’s AI roadmap, ensuring solutions meet high quality standards and timelines. You’ll be a core member of the team that will implement complex, large-scale AI systems. You’ll also have the opportunity to work cross-functionally to resolve issues, mentor junior members, and help to foster a culture of continuous learning and technical excellence. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day.

Here's what we’re looking for…

Related Experience. You have 7+ years of professional software development experience, including 3+ years in AI/ML or GenAI. You have a proven track record of developing and deploying scalable, production-grade AI solutions. 

Technical expertise. You have:  

• Experience in Python and frameworks such as TensorFlow, PyTorch, FastAPI, LangChain, LangGraph, and KubeFlow.  

• Knowledge of AI/ML algorithms, generative models, and LLMs. 

• Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices. 

• Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL). 

Education. A bachelor’s degree in engineering or equivalent.

Here’s what will give you an edge…

Effective communication and interpersonal skills. You’re comfortable initiating and engaging in collaborative discussions. You are skilled at reading and adapting to different communication styles. When you speak, you are clear and concise. Your strong listening skills help to build trust and foster connections with our clients. They also ensure you collect the right information so you can resolve issues most expediently.

Initiative. You do not wait around for things to happen or for someone to tell you what to do. You are not only proactive about completing your own work, but when you sense the need to introduce a project that will benefit the team or the organization -- even if it’s outside your scope of work -- you put a proposal together, talk to the team about it, and own it. And that also goes back to having an entrepreneurial spirit.

Passionate Problem Solver. Proactive, self-driven, and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries. Identify and implement best practices for coding as well as development processes and perform as a trusted contributor requiring little to no supervision and demonstrating the ability to meet deadlines, exceed goals, and create benchmarks for success.

#Li-VA1

Job Title: Senior Software Engineer, AI/ML or GenAI
Locations: Bangalore / Ahmedabad / Pune

Reports to: Director, Software Engineering

A quick snapshot…

As a Senior Software Engineer, you’ll be a key member in a team responsible for the development of scalable, reliable, and innovative AI/GenAI solutions. You’ll contribute to high-priority projects, ensuring maintainable code and producing high-quality, production-ready applications. You’ll operate with a high degree of technical expertise, strategic thinking, effective collaboration across diverse teams, while helping to mentor and elevate others to meet a very high technical bar.   

Why it’s a big deal…  

You will be a key contributor to delivering Conga’s AI roadmap, ensuring solutions meet high quality standards and timelines. You’ll be a core member of the team that will implement complex, large-scale AI systems. You’ll also have the opportunity to work cross-functionally to resolve issues, mentor junior members, and help to foster a culture of continuous learning and technical excellence. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day.

Here's what we’re looking for…

Related Experience. You have 7+ years of professional software development experience, including 3+ years in AI/ML or GenAI. You have a proven track record of developing and deploying scalable, production-grade AI solutions. 

Technical expertise. You have:  

• Experience in Python and frameworks such as TensorFlow, PyTorch, FastAPI, LangChain, LangGraph, and KubeFlow.  

• Knowledge of AI/ML algorithms, generative models, and LLMs. 

• Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices. 

• Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL). 

Education. A bachelor’s degree in engineering or equivalent.

Here’s what will give you an edge…

Effective communication and interpersonal skills. You’re comfortable initiating and engaging in collaborative discussions. You are skilled at reading and adapting to different communication styles. When you speak, you are clear and concise. Your strong listening skills help to build trust and foster connections with our clients. They also ensure you collect the right information so you can resolve issues most expediently.

Initiative. You do not wait around for things to happen or for someone to tell you what to do. You are not only proactive about completing your own work, but when you sense the need to introduce a project that will benefit the team or the organization -- even if it’s outside your scope of work -- you put a proposal together, talk to the team about it, and own it. And that also goes back to having an entrepreneurial spirit.

Passionate Problem Solver. Proactive, self-driven, and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries. Identify and implement best practices for coding as well as development processes and perform as a trusted contributor requiring little to no supervision and demonstrating the ability to meet deadlines, exceed goals, and create benchmarks for success.

#Li-VA1

Role: Senior Software Engineer

Job Summary:

Utilize advanced Python technologies and frameworks to design, develop, and maintain scalable backend systems and microservices for products in marketing analytics and real-world evidence analytics. As a senior contributor, you will provide technical leadership, lead backend development efforts, mentor team members, and drive technical excellence. Collaboration will occur within cross-functional teams, including UI designers, data engineers, frontend developers, client-facing teams, product management, and project management, while adhering to agile methodologies and scrum practices to deliver robust, integrated analytics solutions.

Responsibilities:

•  Architect, develop, and optimize scalable backend components, microservices, and RESTful APIs using Python frameworks such as Django and FastAPI.
• Implement real-time features and asynchronous processing with WebSockets and Redis for enhanced application performance.
• Lead the backend development team by delegating tasks, coordinating efforts, and ensuring timely delivery of high-quality features.
• Provide technical leadership through mentoring junior developers, conducting thorough code reviews, and enforcing best practices in software design and implementation.
• Lead collaboration with data engineers, frontend developers, and stakeholders to gather requirements, define technical specifications, and ensure seamless integration across layers.
• Perform advanced troubleshooting and debugging of complex issues in production and development environments, including performance bottlenecks and system failures.
• Contribute to architectural decisions, system design, and performance optimization in containerized environments using Docker and Kubernetes.
• Participate actively in the full software development lifecycle, encompassing planning, development, testing, deployment, and maintenance within an agile framework.
• Maintain effective communication in a globally distributed team, utilizing tools such as Git for version control and JIRA for project tracking.

Qualifications:

• Minimum 7+ years of professional experience in Python backend development, with expertise in frameworks such as Django and FastAPI.
• Proven track record in designing and implementing RESTful APIs, microservices architectures, and real-time applications using WebSockets.
• Strong proficiency with caching solutions like Redis and relational databases such as PostgreSQL, including query optimization and schema design.
• Deep understanding of object-oriented programming, design patterns, and software architecture principles.
• Proficiency with ORM libraries (e.g., SQLAlchemy or Django ORM).
• Advanced experience in Linux environments, containerization with Docker, and orchestration using Kubernetes.
• Proficiency in code versioning with Git, including advanced workflows and branching strategies.
• Hands-on experience with agile methodologies, scrum processes, and tools such as JIRA.
• Demonstrated expertise in debugging, performance tuning, security best practices, and complex problem-solving.
• Excellent communication and interpersonal skills to effectively collaborate with technical and nontechnical stakeholders in a distributed team environment.

Scopely is looking for a Senior AI Engineer to join our Gen AI team in Bangalore!

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

What You’ll Do 

For this role we are seeking an experienced and forward-thinking Senior AI Engineer with deep expertise in Artificial Intelligence to lead the design and development of intelligent systems powering analytics, automation, and immersive in-game experiences. This role involves prototyping, researching emerging AI methods, and delivering scalable solutions that integrate seamlessly into production pipelines and game technologies.

• Lead the strategic design, development, and deployment of advanced AI systems for Conversational Analytics, Knowledge Bases, QA Automation, and in-game intelligent experiences
• Architect and implement scalable AI solutions supporting real-time systems, automation pipelines, and player-facing features
• Drive innovation in:
• Designing structured protocols for managing AI model context across diverse applications
• Creating autonomous agents for decision-making and dynamic interaction
• Collaborate across disciplines to translate high-level goals into robust, AI-powered capabilities
• Mentor and guide engineers, promote best practices, and contribute to architectural decisions shaping long-term technical direction
• Present research, insights, and prototypes that influence product vision and accelerate the adoption of emerging AI technologies
• Lead efforts in AI infrastructure, including model deployment workflows, performance tuning, and system observability in production environments

What We’re Looking For

• 5+ years of professional experience in backend or full-stack development using Python, including hands-on AI experience with at least 2 years in a senior role.
• Hands-on experience using agentic AI in day-to-day development to build, integrate, and optimize workflows with sub-agents, skills, MCP’s, tool calling, etc.
• Strong hands-on experience in building scalable, high-performance APIs using frameworks like FastAPI, Flask, etc.
• Proven Track record of atleast 1 year of experience in cloud- native development in AWS /GCP or similar and containerization using Docker  
• Strong background in software engineering best practices like CI/CD, Git workflows, testing strategies, and production-grade code quality
• Solid understanding of distributed systems, microservices architectures, and data management with both SQL and NoSQL technologies
• A strong sense of ownership and product thinking — proactively seeking ways to create value and drive impact
• Excellent problem-solving and system design skills, with a methodical and scalable approach to complex AI challenges
• Strong communicator with the ability to explain technical concepts clearly and influence cross-team decisions

Bonus

• Experience with MLOps, reinforcement learning, computer vision, or game AI development
• Contributions to open-source AI projects or publications in AI-related domains

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Job summary

We are building the trust layer for the agentic future. As AI agents move from simple chatbots to autonomous workloads with access to sensitive enterprise data, the industry lacks a standard for Identity, Authentication, and Governance.

You will architect and build the core security and identity infrastructure that defines how AI agents are identified, authenticated, authorized, and governed at scale. You will set foundational architectural patterns, establish engineering standards, and help shape the long-term technical vision of the company.

This is a hands-on technical leadership role in a high-ownership startup environment.

What you will do

Architect the Trust Layer for AI

• Design and implement distributed identity and authorization systems for autonomous AI agents.
• Define Zero Trust principles for agent-to-agent and agent-to-system communication.
• Architect cryptographic identity, verifiable credentials, and secure delegation models.

Build Cloud-Native, SaaS Infrastructure

• Design and ship production-grade, multi-tenant SaaS services.
• Build containerized microservices (Kubernetes-based) with strong observability, scalability, and resilience.
• Establish secure service-to-service communication patterns using modern cloud-native best practices.

Develop Agent Security Testbeds

• Build sophisticated multi-agent workflows to stress-test identity boundaries and governance models.
• Create adversarial test harnesses to simulate prompt injection, privilege escalation, data exfiltration, and confused deputy attacks.
• Ensure the platform is resilient against real-world enterprise attack scenarios.

Design Secure Developer SDKs

• Create developer-facing SDKs and APIs that embed secure identity primitives into AI workloads.
• Ensure clean abstractions and seamless integration into enterprise systems.

Secure Tooling & Protocol Architecture

• Architect how agents interact securely with external systems via MCP or custom tool protocols.
• Ensure every tool invocation is authenticated, authorized, and fully auditable.
• Define policy enforcement layers for tool execution and resource access.

Technical Leadership

• Own architectural direction and long-term technical roadmap.
• Establish engineering standards for security, reliability, and performance.
• Partner with infrastructure, product, and security teams to align on scalable execution.
• Mentor engineers and raise the technical bar across the organization.

What you will have

Experience

• 12+ years of professional software engineering experience.
• Proven track record building and scaling cloud-native SaaS platforms.
• Experience designing distributed systems that operate at enterprise scale.
• Demonstrated ownership of zero-to-one or early-stage platform architecture.

Cloud & Infrastructure Expertise

• Deep experience with Kubernetes, containerization, and microservices.
• Strong background in AWS, Azure, or GCP (production environments).
• Experience building secure multi-tenant systems.
• Familiarity with service meshes, API gateways, and identity federation (OIDC/OAuth2).

Security & Identity Architecture

• Strong understanding of Zero Trust architectures.
• Experience designing authentication, authorization (RBAC/ABAC), and policy-driven systems.
• Familiarity with cryptographic primitives and secure token systems.
• Understanding of common security threats in distributed systems.

AI / Agent Ecosystem Experience

• Hands-on experience building or deploying LLM-based systems in production.
• Familiarity with frameworks such as LangGraph, CrewAI, or AutoGen.
• Experience deploying workloads on Azure AI Foundry, AWS Bedrock, or Vertex AI.
• Understanding of prompt injection risks, model safety, and tool security boundaries.

Note: Deep agentic AI tenure is not required, but demonstrated production experience with LLM-powered systems is expected.

Software Engineering Excellence

• Expert-level Python (FastAPI, Pydantic, AsyncIO).
• Strong API design principles and SDK development experience.
• Writes modular, production-grade code intended for reuse by other developers.
• Strong testing discipline (unit, integration, adversarial testing).

Startup Mindset

• Comfortable operating in ambiguity.
• Experience owning architecture, implementation, and reliability simultaneously.
• Bias toward shipping and iterative improvement.

Benefits

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

#LI-RR1

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:

As a Staff Data Engineer – ML at Netradyne, an award-winning industry leader in fleet safety and video telematics solutions, you will take senior technical ownership of the machine learning and data platforms that underpin our AI-powered fleet analytics. This role is responsible for designing, building, and scaling production-grade ML pipelines, generative AI capabilities, and real-time data streaming systems across cloud and edge environments, delivering actionable insights that make fleet operations safer and more efficient. You will collaborate closely with machine learning engineers, data scientists, and product teams to integrate advanced AI technologies into Netradyne's platform, including on-device edge intelligence and natural-language-driven capabilities. Your work will directly shape the data infrastructure behind Netradyne's Physical AI vision, where AI continuously interprets multimodal vehicle data to understand drivers, vehicles, and road environments as an integrated system.

Key Responsibilities:

• You will be embedded within a team of machine learning engineers and data scientists, responsible for building and productising generative AI, deep learning, and data engineering solutions. You will:
• Design, develop and deploy production-ready, scalable solutions that utilise generative AI, traditional ML models, data science workflows, and ETL/ELT pipelines on AWS cloud infrastructure (and hybrid edge-cloud environments).
• Build and manage real-time and batch data streaming pipelines to handle high-volume, high-velocity data from fleet devices, leveraging technologies such as Apache Kafka and Amazon Kinesis for low-latency processing and near real-time insights.
• Collaborate with cross-functional teams (Product, Data Science, ML Engineering, Operations) to integrate AI-driven solutions into business operations and customer-facing products.
• Design and implement generative AI solutions using large language models (LLMs), including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) patterns, to enable intelligent analytics, natural-language interfaces, and context-aware insights across fleet and safety data.
• Build and scale agentic AI systems by developing autonomous and semi-autonomous agents that orchestrate data retrieval, reasoning, and actions across ML pipelines and services, ensuring these agentic workflows are production-grade, observable, and aligned with safety, reliability, and governance requirements.
• Implement MLOps best practices including CI/CD pipelines for model training, automated testing, model versioning, continuous monitoring, and modern workflow orchestration (e.g. Apache Airflow, MLFlow) to achieve reliable, reproducible model deployments at scale.
• Champion data quality and governance by implementing data contracts, rigorous validation, and monitoring to ensure that analytical pipelines meet defined SLAs and that downstream models and business users can trust the data.
• Conduct research and stay current with the latest advancements in generative AI, vector search techniques, LLM frameworks, orchestration platforms, and related technologies.

Mandatory Skills:

• Experience with data visualisation and BI tools (e.g. Tableau, Grafana, Plotly Dash).
• Exposure to real-time data streaming and messaging systems (e.g. Apache Kafka, Amazon Kinesis, Amazon SQS).
• Knowledge of containerisation and orchestration (e.g. Docker, Kubernetes/EKS)
• Strong understanding of generative AI system design, including prompt engineering, RAG architectures, vector search, and evaluation techniques for LLM-based applications in production environments.
• Experience with agentic AI patterns, such as designing, orchestrating, and monitoring autonomous or semi-autonomous agents that coordinate tools, data sources, and ML services with appropriate safety, observability, and governance controls.
• Experience with modern workflow orchestration platforms such as Apache Airflow, Prefect, or Dagster for scheduling and managing complex ETL/ML pipelines. These tools are now standard for data pipeline engineering.
• Proficiency with at least one Python web framework (e.g. FastAPI, Django, Flask) for developing data or model-serving APIs.
• Experience with rapid prototyping tools (e.g. Streamlit, Gradio, Dash) for demonstrating ML solutions to stakeholders.
• Familiarity with modern ML frameworks and libraries such as PyTorch, TensorFlow, and Hugging Face Transformers
• Background in large-scale data processing and lakehouse or data warehousing technologies (e.g. Snowflake, Amazon Redshift, Apache Spark/EMR, Delta Lake).

Qualifications and Education Requirements:

• B.Tech, M.Tech or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, Mathematics, Operations Research, or a related field (or equivalent professional experience).
• 5–8 years of industry experience in data engineering, machine learning engineering, or related roles, with a track record of building and scaling data/ML solutions in production.
• Strong programming skills in Python and SQL, with solid fundamentals in algorithms, data structures, and object-oriented programming.
• Experience building end-to-end solutions on AWS cloud infrastructure including developing data pipelines (ETL/ELT), deploying ML models at scale, and utilising cloud services (e.g. S3, Lambda, EKS).
• In-depth understanding of data storage systems: proficient with relational databases (SQL), NoSQL datastores, and modern vector databases, including schema design and query optimisation for large-scale datasets.
• Hands-on experience with generative AI tools and workflows, and practical work with large language models (LLMs), including building LLM-powered applications and utilising RAG techniques to incorporate external knowledge.
• Working knowledge of MLOps principles and tools — e.g. model lifecycle management, CI/CD pipelines for ML, automated data/feature pipelines, and monitoring/alerting for deployed models.
• Strong analytical and problem-solving skills with keen attention to detail.
• Solid foundation in statistics, probability, and estimation theory.
  
  

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

Job Title: Mgr, Engineering 

Location: India, Hybrid

This is a hybrid position, which will require the ability to be onsite in our Bengaluru, India office as needed. Candidates must be based in India.

ABOUT THE COMPANY:

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.

With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.

Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.

THE OPPORTUNITY:

At Clari + Salesloft, our Mgr, Engineering will be pivotal to our company’s success. You will be a key member of our fast-growing and high-performing team in India. We are looking for experienced Mgr, Engineering who can help realize Clari + Salesloft vision with their passion and proven track record of excellence and innovation. We are looking for an Mgr, Engineering who is passionate about their work and who thrive working on leading-edge cloud-based technologies to develop ground-breaking AI-driven enterprise-grade applications.

On a day-to-day basis, you will be responsible to -

Product & Delivery

• Own product roadmap execution: Partner with Product and Data Science to translate customer needs into shipped features
• Drive cross-functional collaboration: Align priorities with Platform and GTM teams to deliver measurable impact
• Balance speed with quality: Scope features, manage commitments, and ship what matters most

Architecture & Technology

• Drive technical strategy: Make architecture decisions for LLM-powered systems at scale—balancing innovation with production reliability
• Set GenAI direction: Evaluate new capabilities, guide build vs. buy decisions, and optimize for cost/quality trade-offs
• Manage technical health: Address tech debt and ensure systems remain scalable, maintainable, and secure

People & Leadership

• Lead high-performing teams: Build and grow engineering teams shipping production AI systems used by thousands of customers
• Develop your people: Conduct 1:1s, career development, performance reviews, and create growth paths for engineers at all levels
• Drive hiring excellence: Source, interview, and close exceptional talent across SDE-2 through Staff levels

Process & Operational Excellence

• Champion engineering excellence: Establish best practices for code quality, testing, evaluation frameworks, and operational rigor
• Track what matters: Drive operational metrics including team velocity, system reliability, AI quality, and SLA adherence
• Optimize team delivery: Unblock engineers, allocate resources effectively, and maintain sustainable velocity

In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to work on an impactful and revolutionary software that is changing the way sellers sell. You will have an opportunity to make a difference. 

WHAT WE’RE LOOKING FOR:

We are looking for a talented Engineering Manager with a strong engineering background, leadership skills, and a penchant for solving complex technical problems. If you enjoy working with teams that are small, incredibly impactful, highly-motivated, engaged, and empowered to make a difference then read on.

If you’re looking for an opportunity to learn more, do more, and become more, then becoming an Engineering Manager is the career path for you!

THE TEAM:

‘Clari + Salesloft’ s goal is to build the world's first AI driven Predictive Revenue System. 

The Engineering Team at Clari + Salesloft is deeply committed to building an enterprise-grade platform that serves as the backbone for our customer's most critical business process - Revenue. With an unrelenting commitment to innovation, our mission is to craft the ultimate revenue intelligence platform for our customers. Rooted in Agile principles, we foster a culture of adaptability and efficiency across all our teams. If you're energized by the prospect of contributing to a dynamic environment that emphasizes collaboration, continuous improvement, and leveraging the forefront of technology to address customer needs, we would love to meet you.

THE SKILL SET:

Must Have

Foundation:

• 8+ years software engineering with 2+ years engineering management (teams of 5-10+)
• Strong technical foundation: backend systems, distributed architectures, cloud (AWS preferred)
• AI-native practitioner: Treats AI as core infrastructure, not a novelty—leverages coding assistants deeply, automates repetitive tasks with LLM, builds personal productivity systems, and brings a "try it with AI first" mindset to everything.

Product & Delivery:

• Shipped complex products 0-to-1 and at scale, balancing speed with quality
• Strong product sense: translate ambiguous business needs into technical execution
• Excellent stakeholder management across executives, product, and cross-functional teams

Architecture & Technology:

• Hands-on technical involvement: Design and review system architectures, conduct code reviews, and provide technical guidance to engineers
• Strong engineering fundamentals: Able to evaluate technical trade-offs, guide build vs. buy decisions, and spot design flaws early
• Track record of balancing innovation with production reliability, scalability, and maintainability

People & Leadership:

• Proven hiring and scaling: recruited, onboarded, and developed engineers across levels
• Strong people developer: effective 1:1s, coaching, career growth, psychological safety

Process & Excellence:

• Operational rigor: manage sprints, remove blockers, maintain velocity and team health
• Data-driven: use metrics, A/B testing, and analytics to guide decisions

Nice to Have:

• Data Science or ML engineering background
• Production LLM systems experience (prompts, fine-tuning, evals, agents)
• High-growth startup or 0-to-1 AI product experience
• Technical depth in Python, FastAPI, Ray, vector databases
• SaaS/B2B/enterprise products, especially revenue or sales tech
• Open-source contributions or AI/ML thought leadership

At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.

We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.

If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us!

#LI-Hybrid

Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an @clari.com  or @ salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration.

Opportunity:

Get Well is seeking a technically adept Senior Software Engineer to implement scalable, secure services and processing systems within a regulated healthcare environment. 

Responsibilities:

Platform Development & Integration

Design, develop, and maintain scalable microservices and APIs (REST and FHIR) to support AI agents, clinical applications, and third-party integrations.Implement secure and efficient interfaces to external services, ensuring seamless data exchange and interoperability with healthcare systems.Collaborate with the Staff Engineer/Software Architect to architect platform components that align with enterprise goals for scalability, reliability, and performance.Utilize modern frameworks and technologies (e.g., Spring Boot, Node.js, or Python Flask/FastAPI) to build robust platform services.

System Optimization & Reliability

Optimize platform services for performance, scalability, and fault tolerance, ensuring high availability in a healthcare-critical environment.Implement monitoring, logging, and alerting mechanisms to ensure system reliability and rapid issue resolution.Participate in code reviews, debugging, and performance tuning to maintain high standards of code quality and system efficiency.

Compliance & Security

• Ensure platform services adhere to healthcare regulatory requirements (e.g., HIPAA, GDPR) by implementing secure coding practices, encryption, and access controls.
• Collaborate with governance and security teams to enforce data privacy and compliance standards across all platform services.
• Support audit trails and logging mechanisms to ensure traceability and compliance with healthcare data standards.

Collaboration & Agile Practices

• Work closely with cross-functional teams, including data engineers, AI/ML engineers, and product managers, to deliver integrated solutions.
• Contribute to agile development processes, including sprint planning, daily stand-ups, and retrospectives, to drive continuous improvement.
• Mentor junior engineers and share best practices in software development, API design, and system architecture.

Innovation & Technical Expertise

• Stay informed about emerging trends in software engineering, cloud-native architectures, and healthcare interoperability standards.
• Prototype and evaluate new tools, frameworks, or technologies to enhance platform capabilities and support AI-driven applications.
• Advocate for best practices in software design, ensuring modularity, maintainability, and scalability in platform development.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 5+ years of experience in software engineering, with at least 3+ years in platform or backend development roles.
• Proven track record of designing and implementing scalable, cloud-native platforms or services.

Technical Proficiency

• Strong proficiency in at least two programming languages such as Java, Python, Go or JavaScript/TypeScript for building REST based APIs.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with API development frameworks (e.g., Spring Boot, FastAPI, Express.js) and service orchestration tools.
• Experience with message queues or event-driven architectures (e.g., Kafka, RabbitMQ) is a plus.
• Good to have: Expertise in healthcare data standards such as FHIR, HL7, USCDI, or CCDA.

Professional Skills

• Strong problem-solving skills with a focus on delivering reliable and scalable services.
• Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams.
• Proactive, detail-oriented, and committed to driving technical excellence in a fast-paced environment.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Title: Software Engineer

Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)

Opportunity:

Get Well is seeking a technically adept Staff Front End Engineer to implement scalable, secure services and processing systems within a regulated healthcare environment. This role is ideal for an early-career engineer eager to grow their skills in a dynamic, mission-driven team.

Responsibilities:

Platform Development Support

Assist in designing, developing, and testing microservices and APIs (REST and FHIR) to support AI agents, clinical applications, and external integrations.Implement platform components under the guidance of senior engineers and architects, ensuring alignment with enterprise goals for scalability and reliability.Write clean, maintainable, and efficient code using modern programming frameworks (e.g., Spring Boot, Node.js, or Python Flask/FastAPI).

System Maintenance & Optimization

• Support the maintenance and optimization of platform services to ensure performance, scalability, and reliability in a healthcare-critical environment.
• Assist in implementing monitoring, logging, and alerting mechanisms to maintain system health and support issue resolution.
• Participate in debugging and resolving technical issues under the mentorship of senior team members.

Compliance & Security

• Adhere to secure coding practices and healthcare regulatory requirements (e.g., HIPAA, GDPR) as directed by senior engineers and governance teams.
• Assist in implementing data privacy measures, such as encryption and access controls, to ensure compliance with healthcare standards.
• Support audit logging and documentation efforts to maintain traceability and compliance.

Collaboration & Agile Practices

• Collaborate with cross-functional teams, including data engineers, AI/ML engineers, and product managers, to deliver integrated solutions.
• Actively participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives, to contribute to team goals.
• Engage in code reviews to learn best practices and improve code quality under the guidance of senior engineers.

Learning & Growth

• Stay informed about software engineering trends, cloud-native technologies, and healthcare interoperability standards through training and mentorship.
• Contribute to prototyping and evaluating new tools or frameworks to enhance platform capabilities.
• Actively seek feedback and apply best practices to grow technical expertise in software development.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 12+ years of experience in software development, including internships, academic projects, or entry-level roles
• Exposure to designing or implementing backend services or APIs is a plus.

Technical Proficiency

• Proficiency in developing highly responsive Front End applications using React, JavaScript/TypeScript, Express.js, Vue.js, Angular
• Basic understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker) is a plus
• Familiarity with Low-code / no-code code generators like Replit AI, Cursor, Codeium, Copilot, ChatGPT etc.
• Familiarity with API development frameworks (e.g., Spring Boot, FastAPI, Express.js) or version control systems (e.g., Git)

 Professional Skills

• Strong problem-solving skills with a willingness to learn and tackle technical challenges.
• Good collaboration and communication skills, with the ability to work effectively in a team-oriented environment.
• Proactive, detail-oriented, and eager to grow in a fast-paced, innovative setting.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME