Lead Engineer - DevOps
Experience: 7+ years 10yrs
Location: Bangalore / Coimbatore

Who we are and What we do?

AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated certificate lifecycle management. At AppViewX, you will get to work with our AVX ONE platform that provides complete certificate lifecycle management and PKI-as-a-Service using streamlined automation workflows to prevent outages, reduce security incidents and enable crypto-agility.

Glimpse of our Team
The core of AppViewX lies within its robust, flexible low code platform which is being built by the architecture team. The team designs ready to consume solutions that efficiently orchestrate and meet the scalable demands of our ever-growing customers. If you are someone who would like to develop solutions using cutting-edge technologies like Kubernetes, Containers and Service Mesh and design this low code platform then this is the right place for you!!

What will you be responsible for?

• Collaborate closely with the Product Engineering team to deliver scalable and reliable solutions
• Participate in end-to-end DevOps initiatives, addressing real-world challenges in network operations
• Work effectively with cross-functional teams to plan, estimate, and execute deliverables
• Apply industry-relevant estimation techniques to support project planning and execution
• Demonstrate strong team collaboration and ownership while driving outcomes
• Continuously learn and adopt new technologies to stay current with industry trends
• Leverage network domain expertise (preferred) to enhance solution design and troubleshooting

What do we require?

• Linux/Unix administration (Redhat/Centos preferred)
• Strong coding skills in Python combined with problem-solving skills
• Experience with AWS/Azure/Google Cloud
• In depth knowledge of Docker containers and Kubernetes.
• Hands-on experience with Helm charts and terraform scripting.
• Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
• Hands on experience with CI and CD tools (Jenkins, Nexus, Gitlab Etc.)
• Experience in working with microservices environments.
• Strong inclination for automation and test-driven development.
• Strong work ethic and ability to own projects/components

What do we desire?

• Experience with anyone of the web development frameworks (Flask/Django/Bottle) and experience with restful APIs.
• Hands-on experience with Configuration Management tools like ansible/puppet
• Experience in VMware/OpenStack/KVM/Proximo platform management is an added advantage
• Knowledge of Istio, Amazon EKS and GKE
• Working knowledge on NoSQL databases (MongoDB)
• Working Knowledge of ELK, Kibana, Grafana and Hashi Corp Vault/Consul.
• Excellent verbal and written communication skills

What brings us together?

What makes us stand out from the rest is the people. The people who push hard every day to be smarter, passionate, resilient, creative, inclusive and curious. Surrounding ourselves with a bunch of diverse and talented minds has made us what we are, and we can’t wait to see the positive impact it would have on you too!

What’s more in store?

 AppViewX is on par with leading global companies when it comes to the benefits it offers its employees, ranging from competitive incentives, health & wellness policies, saving & investment schemes, time off/sabbatical eligibility and dedicated L&D.

What we consider equally important is the flexibility we offer our employees to – work remotely, define their own hours, and more importantly harmonize both work and life. The more trust and accountability we place on our employees, the more they surpass our goals and expectations.

 Why AppViewX?

 AppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. Over the years, we grew our diverse team, perfected our automation platform, and expanded our Global footprint to India, North America, United Kingdom and Australia. Today, we are headquarters in New York City and have come a long way by optimizing opportunities to create lasting relationships with enterprises, gaining unshakable customer trust along the way.

AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, , gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.

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 

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

Role Overview

We’re looking for a Staff Software Engineer to serve as a technical pillar across our engineering teams. This role is ideal for a highly experienced backend engineer who thrives on solving hard problems, mentoring others, and guiding architecture across multiple domains. You’ll be a multiplier, operating independently, shaping technical direction, and partnering with engineers 
and product teams to raise the bar across the organization. 

You’ll work across squads to improve system performance, reliability, and scalability, while owning high-impact projects that support our Advertising platform. Whether it’s unblocking performance bottlenecks, leading design for new backend services, or reducing tech debt, your contributions will have a far-reaching impact. 

This is a high-impact role where you will not only write mission-critical code but also provide the AI-driven roadmap to help our team automate optimizations and anomaly detection within our data pipelines. 

Core Responsibilities 

• Own and lead design for major backend systems across Ads, focusing on performance, scalability, and reliability. 

• Serve as the subject matter expert for Python & Django. You will optimize application performance, focusing on concurrency, memory management, and efficient integration with our data layer. 

• Architect and optimize large scale data workflows for Ads. You will be expected to tune complex queries in Hive, Flink, or Trino to reduce latency and cost while maintaining data integrity. 

• Actively profile our stack to identify bottlenecks. You should be comfortable moving between high-level architectural planning and low-level query optimization. 

• Guide the engineering team in leveraging AI and Machine Learning for predictive analytics, automated QA of data streams, and enhancing our internal decision-making engines.  

• Collaborate with multiple teams to address cross team concerns (e.g., shared libraries, infra patterns, tech debt, security) 

• Tackle escalated production issues / incidents by providing quick remediations 

• Raise the engineering bar through elite code review, technical RFCs and hands on guidance for senior and mid-level engineers. 

• Work with EMs and PMs to shape technical roadmap and support long-term platform health. 
   

Technical Requirements 

• 10+ years in backend engineering with a proven track record of scaling systems in Ad-Tech, Fintech or High-Scale SaaS. 

• Deep expertise in building high concurrency, asynchronous services. You know how to scale Django beyond standard patterns. 

• Strong experience with distributed systems (e.g. Flink, Spark, Hive or SingleStore). You are an expert at optimizing distributed joins and partitioned datasets. 

• Advanced SQL skills; you can dissect an execution plan and optimize complex analytical queries for both performance and cloud cost. 

• Experience managing “Sync vs Async” data flows and ensuring consistency across disparate data stores 

• Experience with containerization technologies such as Docker and Kubernetes. 

• Familiarity with CI/CD pipelines and modern DevOps practices. 

• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders is a must. 

• Proven leadership experience, including mentoring engineers and leading technical initiatives. 
   

Ideal Candidate 

• The Pragmatic Architect: You understand the trade-offs between “perfect” code and “performant” code in a high throughput environment. 

• The Data Integrity Advocate: You care deeply about how data is captured at the source just as much as how it is processed at scale. 

• The Force Multiplier: You don’t just solve problems; you build systems and processes that prevent them from recurring. 

• The Mentor: You thrive on helping others grow and can explain complex architectural concepts to both engineers and stakeholders. 

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

About the Role

As a full stack engineer, you'll work across the stack and be responsible for the entire customer journey from where we store data to our server application logic, to our front end UI. You’ll work closely with our other engineers to build and ship key features. We are detail oriented and value clean, modular, and high-performing code. You'll help architect and build our internal standards and frameworks. We love engineering-wide consistency in code and have huge ambitions on both client and server side.

Duties and Responsibilities:

• Collaborate with other engineers and designers to develop and ship features
• Design, build, and maintain our API’s
• Write efficient, modular, and reusable libraries and abstractions
• Design and build internal tooling to improve development efficiency
• Find and solve performance issues
• Participate in code reviews
• Communicate best practices to the team
• Mentor junior engineers

Qualifications and Skills:

• 4+ years of full time engineering experience
• Expert in Javascript
• Full stack engineering experience in Javascript/NodeJS, Python/Django, 
• Expert in SQL, database design, and familiarity with PostgreSQL
• Experience with front and back end architectural patterns of large, high-scale web applications
• Ability to design clean APIs and understanding of performance issues
• Experienced with software engineering best practices – design patterns, code reviews, unit and integration testing, etc.
• Ability to communicate technical specifications both verbal and written
• Command over front-end web technologies such as HTML, CSS, React
• Solid CS fundamentals – including data structures and algorithms
• Understanding of security, common attacks and defenses
• Knowledge of build systems configurations and setup - such as Webpack
• Experience with infrastructure, distributed systems, and deploying apps into a high-scale environment

#LI-KP1

#LI-Hybrid

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.)

About the role

Entrupy is seeking a Senior Full-Stack Engineer who is excited about automating manual processes and can lead complex projects. As a Full-Stack Engineer, you will be responsible for automating the processes and workflows that can have a significant business impact by increasing the authentication team's efficiency and accuracy. You will need to have a strong understanding of both back-end and front-end development, as well as a willingness to learn new technologies quickly. In addition, we are looking for someone who can work effectively in a team that is spread across different time zones.

Some areas you will work on would include:

• • Creating image search systems - infrastructure for similarity searching tens of millions of images + metadata.
  • Creating tools to encode + expose knowledge for our authentication team (databases/CRMs)
  • Monitoring systems & other analytics work to help flag areas where our knowledge is lacking for our expert teams
  • Internal dashboards and customer support tools
  • Policy tracking and change management systems
  • Custom search systems and data investigation tools
  • Interfaces to explain machine learning and expert system output
  • Account management systems
  • Data annotation tools
  • Internal training platforms

Reports to: Engineering Manager
Location: Bangalore, India (Hybrid)

What You'll Do:

• Develop systems that follow modern design principles and are implemented using secure, flexible & scalable methodologies, promote a streamlined, collaborative environment & use efficient workflows while keeping focus on a positive user experience
• You’ll contribute reliable code across all phases of the development lifecycle, collaborating on product specifications and operational feasibility
• You’ll come up with ideas for projects to clean up technical debt and make it easier to develop in our codebases
• You’ll champion a balance between following good coding practices and delivering value for our customers quickly
• You’ll produce well-tested, extensible code that stands up to existing and future load requirements
• You’ll share your expertise in a thoughtful, no-ego way with all members of the team, coaching team members when needed
• Sheppard your contributions through peer review, testing, deployment, and finally monitoring in production

Who you are:

• Generalist with experience in web apps, backend services, and databases.
• 6+ years of experience in full-stack web development.
• Solid working knowledge of Python, and experience using it in backend services using Flask/Django/Fast API or similar web framework. 
• Experience with building front-end websites or tools using modern SPA frameworks like Vue/React.
• Experience with databases (Postgres, NoSQL, etc.)
• Experience working as the lead on various technical projects.
• Prior experience working in a startup-like environment

What we offer

• Market competitive compensation structure
• Hybrid with Flexible work from anywhere for 4 weeks per year
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Rich medical benefits and insurance coverage
• Opportunity to be part of category defining start up.

Culturally we operate with intelligence, respect, and curiosity, relentlessly pursuing ideas to improve our offering and execute our mission.

About IRL (Instawork Robotics Labs)

Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here.

The Role
We are looking for a highly versatile Senior/Staff Engineer with rock-solid fundamentals who can confidently tackle any problem across the tech stack. As a key engineering leader in our Bengaluru hub, you will own the technical execution for massive-scale physical AI training data, building out core systems like Instawork Lens (our global data collection platform) and Instawork Prism (our dedicated QA platform).

What You’ll Do

• Full-Stack Versatility: Seamlessly transition between frontend, backend, and infrastructure. You will own features end-to-end, solving whatever technical challenge stands in the way of shipping.
• Platform Ownership: Lead the technical development of Instawork Lens and Instawork Radiant, ensuring high-throughput data enrichment, labeling, and continuous quality assurance loops.
• Infrastructure & Video Pipelines: Architect and scale our cloud environments. You will manage complex AWS infrastructure and ECS services for video transcoding, ensuring deep observability with precise telemetry across CPU, memory, network, and disk IOPS.
• Architect for Scale: Design and optimize data pipelines capable of securely processing petabytes of global video and telemetry data without bottlenecking.
• AI-Leveraged Engineering: Use agentic models as a force multiplier to ship faster, relying on your deep engineering fundamentals to guide the AI, spot bad patterns, and make the final architectural decisions.
• Cross-Functional Mentorship: Act as a technical pillar for the team. Guide mid- and senior-level engineers through code reviews, pair programming, and architectural discussions to raise the bar for engineering excellence.

Who You Are

• Master of Fundamentals: You have 8+ years of software engineering experience. You deeply understand distributed systems, database internals, and network constraints, and you write clean, maintainable code (coding ~80% of the time).
• True Generalist: Extensive experience with full-stack development (Python, Django, React, or similar modern frameworks) and a willingness to learn whatever language or tool is needed for the job.
• Cloud & Infrastructure Chops: Hands-on experience designing scalable backend systems and managing cloud infrastructure (AWS, ECS/Docker, CloudWatch), particularly for data-heavy or high-throughput applications.
• Startup Mindset: You thrive in ambiguous, fast-paced, 0-1 environments. You act like an owner, practice high-velocity decision-making, and know how to ship product quickly without sacrificing quality.
• Mission-Driven: You are genuinely excited about the robotics revolution and want to build the human advantage that powers it.

About IRL (Instawork Robotics Labs)

Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here.

The Role
We are looking for a highly versatile Senior Engineer with rock-solid fundamentals who can confidently tackle any problem across the tech stack. As a key engineering leader in our Bengaluru hub, you will own the technical execution for massive-scale physical AI training data, building out core systems like Instawork Lens (our global data collection platform) and Instawork Prism (our dedicated QA platform).
You are a generalist at heart. You are just as comfortable designing a clean user experience in React as you are diving deep into AWS to tune heavy video transcoding pipelines. While we leverage agentic models heavily to accelerate our coding output, we rely on your deep engineering intuition, architectural expertise, and flawless fundamentals to ensure our systems are robust, scalable, and built the right way.

What You’ll Do

• Full-Stack Versatility: Seamlessly transition between frontend, backend, and infrastructure. You will own features end-to-end, solving whatever technical challenge stands in the way of shipping.
• Platform Ownership: Lead the technical development of Instawork Lens and Instawork Radiant, ensuring high-throughput data enrichment, labeling, and continuous quality assurance loops.
• Infrastructure & Video Pipelines: Architect and scale our cloud environments. You will manage complex AWS infrastructure and ECS services for video transcoding, ensuring deep observability with precise telemetry across CPU, memory, network, and disk IOPS.
• Architect for Scale: Design and optimize data pipelines capable of securely processing petabytes of global video and telemetry data without bottlenecking.
• AI-Leveraged Engineering: Use agentic models as a force multiplier to ship faster, relying on your deep engineering fundamentals to guide the AI, spot bad patterns, and make the final architectural decisions.
• Cross-Functional Mentorship: Act as a technical pillar for the team. Guide mid- and senior-level engineers through code reviews, pair programming, and architectural discussions to raise the bar for engineering excellence.

Who You Are

• Master of Fundamentals: You have 6+ years of software engineering experience. You deeply understand distributed systems, database internals, and network constraints, and you write clean, maintainable code (coding ~80% of the time).
• True Generalist: Extensive experience with full-stack development (Python, Django, React, or similar modern frameworks) and a willingness to learn whatever language or tool is needed for the job.
• Cloud & Infrastructure Chops: Hands-on experience designing scalable backend systems and managing cloud infrastructure (AWS, ECS/Docker, CloudWatch), particularly for data-heavy or high-throughput applications.
• Startup Mindset: You thrive in ambiguous, fast-paced, 0-1 environments. You act like an owner, practice high-velocity decision-making, and know how to ship product quickly without sacrificing quality.
• Mission-Driven: You are genuinely excited about the robotics revolution and want to build the human advantage that powers it.

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.

Job Description

About the Role

Abnormal Security is looking for a backend software engineer to work on customer-facing products that enable SOC teams to search across cloud email tenants, investigate threats, and perform remediation at scale. You'll work on systems that directly power how security teams find and act on malicious messages inside the Abnormal platform. We use AI-augmented development practices across our engineering org, and expect engineers to leverage modern AI tools to build faster and ship high-quality software with more leverage. The ideal candidate has backend and distributed systems experience, takes ownership of what they ship, and wants to work on products where reliability and speed directly affect customer security outcomes.

What You Will Do

• Design and build backend services that power search, remediation, and quarantine workflows across multi-tenant enterprise email environments
• Work with the Tech Lead, Engineering Manager, and Product Manager to scope, develop, and deliver features end-to-end
• Own the reliability of the systems you build, including unit tests, integration testing, and production observability
• Participate in on-call rotations and provide technical support to troubleshoot and resolve customer issues
• Contribute to API design for customer-facing REST endpoints used by security operations teams
• Communicate effectively in an async-first environment, provide updates, surface blockers, and propose solutions without prompting
• Leverage AI development tools to enhance productivity, optimize workflows, and deliver reliable production outcomes
• Mentor junior engineers and raise the engineering bar through code reviews and knowledge sharing

Must Haves

• BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field
• 3+ years of industry experience in backend development and distributed systems
• Experience building features and components from scratch and operating them in production, balancing feature work with operational reliability
• Experience working with distributed teams, proficient in asynchronous and written communication
• Experience improving service reliability, resiliency, and observability in production systems
• Strong fundamentals in computer science, data structures, and system design

Nice to Have

• Experience with our stack: Python, Go, AWS, Kubernetes, Django
• Experience with search systems, remediation workflows, or operational tooling used by SOC teams
• Experience with SIEM/SOAR integrations or platform APIs
• Exposure to email security, email authentication standards (DMARC, DKIM), or cybersecurity products

Job Description

About the Role

Abnormal Security is looking for a backend software engineer to work on customer-facing products that enable SOC teams to search across cloud email tenants, investigate threats, and perform remediation at scale. You'll work on systems that directly power how security teams find and act on malicious messages inside the Abnormal platform. We use AI-augmented development practices across our engineering org, and expect engineers to leverage modern AI tools to build faster and ship high-quality software with more leverage. The ideal candidate has backend and distributed systems experience, takes ownership of what they ship, and wants to work on products where reliability and speed directly affect customer security outcomes.

What You Will Do

• Design and build backend services that power search, remediation, and quarantine workflows across multi-tenant enterprise email environments
• Work with the Tech Lead, Engineering Manager, and Product Manager to scope, develop, and deliver features end-to-end
• Own the reliability of the systems you build, including unit tests, integration testing, and production observability
• Participate in on-call rotations and provide technical support to troubleshoot and resolve customer issues
• Contribute to API design for customer-facing REST endpoints used by security operations teams
• Communicate effectively in an async-first environment, provide updates, surface blockers, and propose solutions without prompting
• Leverage AI development tools to enhance productivity, optimize workflows, and deliver reliable production outcomes
• Mentor junior engineers and raise the engineering bar through code reviews and knowledge sharing

Must Haves

• BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field
• 3+ years of industry experience in backend development and distributed systems
• Experience building features and components from scratch and operating them in production, balancing feature work with operational reliability
• Experience working with distributed teams, proficient in asynchronous and written communication
• Experience improving service reliability, resiliency, and observability in production systems
• Strong fundamentals in computer science, data structures, and system design

Nice to Have

• Experience with our stack: Python, Go, AWS, Kubernetes, Django
• Experience with search systems, remediation workflows, or operational tooling used by SOC teams
• Experience with SIEM/SOAR integrations or platform APIs
• Exposure to email security, email authentication standards (DMARC, DKIM), or cybersecurity products

Job Description

About the Role

Abnormal Security is looking for an experienced and driven backend software engineer to join the Product Features team. Join us and help build the platforms that power Abnormal's growth

• Integrations Platform - The backbone of customer trust. Engineer high-volume infrastructure that connects our cybersecurity platform to the tools enterprises rely on. Your work directly influences why customers choose Abnormal.
• Configuration Platform - The engine of developer velocity. Build intelligent systems that transform how 100+ engineers ship products. 

  Your Impact 

• Scale at the core: Design distributed systems handling massive volumes across cloud infrastructure
• Multiply team productivity: Create platforms that let engineers ship faster and build better
• Shape product decisions: Own infrastructure that defines what products we can build and how quickly we deliver them
• Drive business growth: Your platforms directly enable new customer wins and product launches

Join us to create an infrastructure that scales with our ambitious growth and directly impacts how we deliver exceptional products to our customers.

What you will do 

• Work with the Tech Lead, Engineering Manager and Product Manager to develop and deliver key features for the product
• Assist in guiding and mentoring junior members of the team
• Assume ownership of the reliability of the features you develop, including comprehensive unit tests and rigorous integration testing
• Participate in on-call rotations and provide technical support to effectively troubleshoot and resolve customer issues
• Communicate effectively with the team in an async manner. Display a strong sense of initiative and ownership in providing updates, discussing challenges and proposing solutions without prompting
• Raise the bar of excellence in engineering, actively contributing to knowledge sharing within the team and participating in professional development activities

Must Haves 

• 4+ years backend engineering with distributed systems - designing, building, and operating production applications in Python and Golang
• Proven platform ownership - end-to-end system design and delivery, balancing feature development with operational responsibilities at scale
• Low-latency, high-throughput expertise - building resilient, scalable systems with SQL/NoSQL databases and strong operational excellence (monitoring, fault tolerance, incident response)
• Architectural thinking - write technical design docs, make practical trade-offs, and influence cross-team technical direction with a futuristic view of system growth
• Growth-oriented mindset - demonstrated trajectory of increasing impact, responsibility, and ownership over time
• Asynchronous collaboration excellence - strong written communication and proven ability to work autonomously with distributed teams and remote stakeholders
• Quality-driven execution - detail-oriented approach to code quality, testing, and performance with a focus on sustainable, maintainable systems

Nice to Have 

• Experience with our stack: Python, Go, AWS, K8s, Django, Spark, Prometheus
• 2+ years of experience programming in Golang
• Familiarity with AWS services and deployment practices.
• Experience leading a small team to build a feature or component from scratch

Why You’ll Love It Here

• You’ll solve hard, meaningful problems at the intersection of AI, security, and large-scale distributed systems.
• You’ll work with smart, kind, and ambitious teammates who care deeply about craftsmanship, learning, and helping each other grow.
• You’ll get real ownership and autonomy over important parts of our systems and roadmap, with clear opportunities to grow toward Senior and Staff roles over time.
• You’ll be part of an AI-native R&D organization, with strong investment in tools, workflows, and training to help engineers use AI to move faster while raising the quality bar.

#LI-JP2

About the Role

Abnormal Security is looking for an experienced and driven Platform & Infra software engineer to join the PI team. Join us and help build the platforms that power Abnormal's growth

• Observability Platform - Own and evolve the monitoring, metrics, and alerting infrastructure that every engineering team at Abnormal depends on. You'll work across the Prometheus, Chronosphere, and Grafana stack to ensure engineers can see what their systems are doing in real time — building dashboards, managing metric pipelines at scale, operating the PagerDuty alerting pipeline, and driving cost-efficient observability across all production environments (US, EU, and GovCloud).

  Your Impact

• Own the observability stack (Prometheus, Chronosphere, Grafana, PagerDuty) that every team relies on to detect, diagnose, and resolve production issues — when you make it better, every engineer at Abnormal gets faster.
• Design platforms and developer tooling that remove friction — reducing deployment times, simplifying pipeline authoring, and letting product teams focus on building rather than firefighting.
• Drive SLAs and SLOs for critical shared infrastructure ensuring the systems behind our products are resilient and cost-efficient.
•  Your architectural decisions on alerting pipelines and cross-environment deployments will define what products we can build and how quickly we deliver them to customers.

What you will do 

• Work with the Tech Lead, Engineering Manager, and Product Manager to design, develop, and deliver key platform features — from technical design docs through production rollout
• Own features end-to-end: scoping, implementation, testing, deployment, and post-launch monitoring across multiple environments (US, EU, GovCloud)
• Take ownership of 1-3 key services within Observability (Prometheus, Chronosphere, Grafana, PagerDuty pipeline) or Data Infra (Airflow, Spark) and be accountable for their reliability, performance, and evolution
• Participate in on-call rotations — triage, diagnose, and resolve production issues independently, building deep operational knowledge of the systems you own
• Improve system resilience by converting runbooks into automated solutions, refining SLAs/SLOs, and proactively identifying performance bottlenecks and failure modes
• Assume ownership of the reliability of everything you build, including comprehensive unit tests, integration testing, and observability instrumentation
• Build platforms, tooling, and APIs that make it easier for other engineering teams to ship — whether that's faster pipeline deployments, better dashboards, or simpler alerting configuration
• Partner with internal customers (product and engineering teams) to understand their needs and translate them into scalable platform capabilities
• Communicate effectively in an async-first, distributed environment — proactively providing updates, discussing challenges, and proposing solutions without prompting
• Mentor junior engineers on the team, helping them ramp up on service operations and development practices
• Raise the bar of engineering excellence through code reviews, knowledge sharing, design discussions, and contributing to team best practices

Must Haves 

• Backend Engineering & Distributed Systems (4+ years)
• 4+ years of hands-on backend engineering experience designing, building, and operating production-grade distributed systems
• Strong proficiency in Python — the primary language for Airflow DAGs, platform services, and automation tooling
• Working proficiency in Golang — used for high-performance infrastructure components, metric pipelines, and platform services
• Experience building systems that process data at scale — whether metric ingestion pipelines, stream/batch processing, or high-throughput API services
• Demonstrated experience owning a service or platform end-to-end — from technical design through production deployment, monitoring, and iteration
• Comfortable balancing feature development with operational responsibilities: you've shipped features and kept them running reliably at scale
• Experience writing technical design documents that articulate trade-offs, propose solutions, and get buy-in from peers and tech leads
• Track record of breaking down ambiguous problems into concrete, deliverable milestones
• Experience with fault tolerance patterns — retries, circuit breakers, graceful degradation, backpressure — and knowing when to apply each
• Proven incident response capability: you've been on-call, diagnosed production issues under pressure, and driven them to resolution
• Strong testing discipline — unit tests, integration tests, and an understanding of what to test and how to keep test suites maintainable
• Ability to design systems with a forward-looking perspective — thinking about how your architecture handles 10x growth, multi-region deployment, and evolving requirements
• Ability to contribute to and influence cross-team technical direction — you're not just implementing specs, you're shaping the solution
• Async-first communication excellence — strong written communication skills for design docs, Slack discussions, PR reviews, and status updates across time zones
• Proactive communicator — you surface blockers early, share con
• Solid understanding of monitoring, alerting, and observability principles — you've instrumented services, set up dashboards, defined SLIs/SLOs, or triaged production incidents using metrics and logs

Nice to Have 

• Hands-on experience with Prometheus — PromQL queries, recording rules, alerting rules, relabeling configs, and understanding metric cardinality challenges at scale
• Experience with Grafana — building dashboards, templating, managing datasources, and creating meaningful visualizations for operational and business metrics
• Familiarity with commercial observability platforms like Chronosphere, Datadog, New Relic, or Honeycomb — understanding trade-offs between self-hosted and managed solutions
• Experience designing or operating an alerting pipeline — PagerDuty, OpsGenie, or similar — including alert routing, escalation policies, and reducing noise/alert fatigue

Cloud Infrastructure & Kubernetes

• Familiarity with AWS services — EC2, ECS, EKS, S3, RDS, IAM, CloudWatch, Lambda, SQS/SNS — and understanding how to architect cost-effective, secure cloud infrastructure
• Experience with Kubernetes (K8s) — deploying and operating workloads, understanding pods/services/deployments, Helm charts, and debugging cluster-level issues
• Exposure to Infrastructure-as-Code tools — Terraform, Pulumi, or CloudFormation — and understanding the value of declarative infrastructure management
• Experience with CI/CD pipelines — GitHub Actions, Jenkins, or similar — and optimizing build/deploy times for platform services

Programming & Framework

• Experience with Django or similar Python web frameworks — building APIs, managing migrations, and understanding ORM performance characteristics
• Familiarity with gRPC or protobuf for inter-service communication in a microservices architecture

Technical Leadership & Platform Thinking

• Experience leading a small team (2-4 engineers) to build a feature or component from scratch — scoping, task breakdown, code reviews, and delivery management
• Experience building internal developer platforms or tooling — CLIs, SDKs, self-service portals, or automation that improved developer productivity
• Track record of reducing operational toil — automating runbooks
  
  
  

#LI-Hybrid

#LI-KP1

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 : Staff Software Engineer (Backend)

Location : Bengaluru, IN

About the Role : 

We are seeking a highly experienced Staff Software Engineer to lead the design and evolution of our platform and framework ecosystem. This role is ideal for a hands-on technical leader who thrives on building scalable frameworks, driving engineering excellence, and influencing teams across the organization. 

You will play a critical role in shaping the technical direction of our platform, enabling teams to build high-quality, reliable, and scalable services efficiently.

What will you own :

• Lead the design and development of scalable and resilient Frameworks hat empower scalable customer-facing APIs. 
• Influence architecture and design decisions across multiple teams; act as a technical advisor and escalation point for complex challenges.
• Align engineering initiatives with business goals and organizational priorities.
• Champion best practices in software engineering, including code quality, testing, observability, and maintainability across teams. 
• Advocate for developer productivity by improving tooling, documentation, and onboarding experiences. Act as a developer evangelist for platform capabilities.
• Mentor senior engineers and contribute to raising the technical bar across the organization through reviews, design discussions, and knowledge sharing.
• Leverage generative AI and AI coding tools to accelerate developer productivity, engineering workflows, and automation of repetitive tasks

What we're looking for :

• 8+ years of professional experience in software engineering, including at least 2 years in a senior or staff-level role. 
• Strong proficiency in TypeScript, GoLang, and Java
• Experience building platforms, frameworks, libraries, or SDKs at scale
• Strong understanding of software engineering best practices (code quality, testing, CI/CD, observability)
• Experience with cloud-native architectures, containerization (Docker), and orchestration (Kubernetes)
• Solid experience with databases (SQL and NoSQL) and caching strategies
• Proven ability to lead technical initiatives and influence without direct authority
• Familiarity with CI/CD pipelines and modern DevOps practices.
• Understanding of AI-native software development practices, including automated code generation, AI-driven testing, and human-in-the-loop review systems
• Proven ability to adopt and drive modern engineering paradigms, particularly integrating AI into development workflows to improve productivity, quality, and delivery speed
• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Proven leadership experience, including mentoring engineers and leading technical initiatives.

Preferred Qualifications : 

• Experience with Python and Django 
• Experience building scalable APIs (external or partner-facing preferred)
• Experience acting as a technical evangelist (talks, documentation, internal advocacy)
• Familiarity with API gateways, authentication/authorization patterns, and rate limiting

Success In this role would look like :

• This is a high-impact role at the intersection of platform engineering and developer experience.
• You will define how engineers build, scale, and operate services—shaping both the technical architecture and the engineering culture of the organization.

Job Overview:

Our team is responsible for ensuring that AI systems deployed at scale are measurable, trustworthy, and decision‑ready. We build rigorous evaluation frameworks, analytics platforms, and KPI audits that directly influence product direction and real‑world safety outcomes. This role is primarily evaluation and analytics driven. As a Staff Data Scientist will own the definition, execution, and evolution of evaluation frameworks, metrics, and analytical methodologies used to assess AI/ML feature performance in real‑world deployments. Rather than focusing on core model development, this role emphasizes measurement rigor, error analysis, experimentation, and decision support—ensuring that metrics accurately reflect system behavior, business impact, and safety outcomes.

Key Responsibilities:​

Evaluation & Measurement Ownership

• Design, implement, and maintain offline and online evaluation frameworks for AI/ML features.
• Define, validate, and evolve KPIs, success metrics, and audit methodologies used across teams.
• Perform deep error analysis, bias analysis, and segmentation to identify failure modes and improvement opportunities.
• Own golden datasets, validation protocols, and benchmarking standards.

Analytics & Insight Generation

• Conduct large‑scale analytical studies to understand feature performance, data quality issues, and system behavior.
• Translate complex analytical findings into clear, actionable insights for engineering, product, and leadership stakeholders.
• Challenge existing metrics or evaluation approaches when they fail to capture ground reality.

Experimentation & Statistical Rigor

• Design and review experiments including offline evaluations, controlled rollouts, and A/B tests.
• Ensure statistical correctness in analysis, including bias, variance, confidence intervals, and significance.
• Perform post‑deployment monitoring and regression detection.

Tooling, Automation & Scale

• Build and maintain tools, dashboards, and automation frameworks to scale audits, evaluations, and reporting.
• Improve repeatability, reproducibility, and reliability of analytics pipelines.
• Enable self‑serve analytics and standardized reporting for broader teams.

Leadership & Ownership

• Independently identify gaps in evaluation, metrics, or data quality and drive solutions end‑to‑
• Mentor junior data scientists on statistical rigor, experiment design, and analytical storytelling.

Mandatory Skills:​

• Tech, M.Tech, or PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field.
• 5+ years of experience in data science, analytics, or a closely related domain.
• Strong foundation in probability, statistics, and estimation theory.
• Strong analytical and problem‑solving skills with keen attention to detail.
• Strong programming skills in Python, with solid fundamentals in OOP, algorithms, and data structures.
• Deep familiarity with SQL, complex query writing, indexing, and database internals; working knowledge of at least one NoSQL data store.
• Experience with data visualization and analytical storytelling.
• Excellent written and verbal communication skills.
• Familiarity with AI‑powered tools for analytics and software development, including:
  • Using AI tools for exploratory data analysis, feature ideation, experiment analysis, and documentation.
  • Leveraging AI assistance for rapid prototyping, code refactoring, debugging, and analytical workflows.
  • Ability to critically evaluate AI‑generated outputs for correctness, statistical validity, reproducibility, and production readiness.

 Preferred Skills:​

• Exposure to cloud platforms and services (e.g., AWS Kinesis, EKS, autoscaling systems).
• Experience building lightweight web or service components using Python frameworks (e.g., Flask, Django).
• Prior experience working with large‑scale, noisy, real‑world datasets