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.

Role 

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

What you’ll do (Role Expectations)

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

Who You Are (Success Profile)

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

What We’re Looking for (Minimum Qualifications)

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

What Will Make You Stand Out (Preferred Qualifications)

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

#LI-Hybrid #LI-AN4

Role

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

What you’ll do (Role Expectations)

• Design, build, and operate foundational security services, AI security agents, and integrations with internal systems to empower Zscaler engineering teams to ship secure software

• Implement scalable APIs and microservices in Go for seamless system communication

• Collaborate with architects and product owners to ensure cloud services align with company standards

• Participate in on-call rotations to resolve production issues while continuously improving system reliability

Who You Are (Success Profile)

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

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

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

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

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

What We’re Looking for (Minimum Qualifications)

• 7+ years of professional software development experience, including 3+ years focused on developing backend cloud systems using Python or Go

• Proficiency in building web services using REST, GraphML, or gRPC and managing secure endpoint communication

• Experience with containerized application development and orchestration using Kubernetes

• Proficiency in designing, deploying, and operating services and applications on AWS including familiarity with IaC frameworks such as Terraform or CDK

What Will Make You Stand Out (Preferred Qualifications)

• Familiarity with full-stack development, frontend development, and DevOps automation workflows

• Proficiency in the use of coding assistants such as Google Code Assist, Windsurf, Cursor, or Claude code on production codebases

• Hands-on experience building AI agents with Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG)

#LI-Hybrid #LI-PM5

Role 

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

As a DevOps Engineer you will be responsible for managing development and infrastructure demands. Additional responsibilities for this role include deploying systems and supporting peer developers.

What you’ll do (Role Expectations)

• Provisioning Zscaler services on public cloud (AWS, Azure, GCP) using Kubernetes, helm and terraform
• Ensuring security compliance of service deployment
• Working with the team to control costs and optimize cloud utilization
• Designing and implementing CI/CD pipelines
• Advocating and guiding Software Engineers in adopting DevOps philosophy

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience with an Engineering or Computer Science degree, specializing in hosting 24x7 services on public cloud platforms like AWS (preferred), GCP, or Azure
• Automation and orchestration experience using relevant technologies (e.g. Terraform, Cloudformation, Ansible, etc.)
• Skilled in managing Kubernetes clusters and proficient with CI/CD tools like Bamboo and Jenkins
• Proficient in Databases and SQL (preferably Postgres) with experience in cloud architecture components like message queuing, in-memory caches, and load balancing
• Familiarity with logging and monitoring technologies such as prometheus, Grafana end ELK Stack

What Will Make You Stand Out (Preferred Qualifications)

• Understanding of TCP/IP protocol stack, HTTP, TLS, PKI and other related protocols and products (DNS, DHCP, VPN, HA, routing and switching)
• Understanding of security technologies like firewall, IPS, Authentication,VPN

#LI-RM6 #LI-Hybrid

When was the last occasion you had the opportunity to contribute to a company that is shaping an industry and empowering individuals to translate ideas into tangible impact with speed? Smartsheet's core mission is to empower everyone to enhance their work processes. Our business model is founded on identifying exceptional talent and providing them with the autonomy to develop our acclaimed Software as a Service (SaaS) offering. With a user base exceeding 10 million, our platform is utilized across various industries, including construction, retail, and software development, presenting us with unique technical challenges.

Smartsheet is seeking a Senior Business Systems Engineer to join our Corporate Systems Development team in Bangalore. This role focuses on building and maintaining scalable backend integrations using AWS services, powering mission-critical data flows across internal systems in Finance, People, Sales, Legal, and Engineering. You’ll develop solutions leveraging tools like AWS Lambda, SQS, SNS, and languages such as Node.js and Python, integrating systems such as Salesforce, NetSuite, Workday, Snowflake, and other enterprise platforms. If you thrive on backend architecture, cloud automation, and building systems that scale, this role is for you.

This role is based in Bangalore, India, reporting to the Senior Manager, Systems Development, and collaborating closely with global engineers, system analysts, and architects.

You Will:

• Design, build, and maintain backend integrations using AWS services such as Lambda, S3, SQS, SNS, and EventBridge
• Develop API-based automations and orchestrate data flows between Salesforce, NetSuite, Workday, Snowflake, and other SaaS platforms
• Refactor and enhance legacy integration logic to align with modern architecture standards
• Own your code from design through CI/CD (GitLab) and deployment via Terraform/CloudFormation
• Collaborate with US-based engineers on shared initiatives, sprint planning, code reviews, and technical handoffs
• Participate in a shared production support rotation, resolving critical integration and data pipeline issues
• Provide technical mentorship to junior engineers, especially on high-complexity initiatives
• Partner with architects and BSAs to review integration design and testing strategies for reliability and resilience
• Support both ETL-style batch pipelines and real-time event streaming using CDC and platform events
• Contribute to evolving team SOPs, architecture standards, and shared development libraries
• Lead backend development within complex cross-functional projects, including work breakdown and delivery tracking

You Have:

• BS in Computer Science, related field, or equivalent industry experience
• 7+ years of experience in backend software development or automation using Node.js, Python, VS code or similar
• Strong experience with AWS services, especially Lambda, S3, SQS/SNS, EventBridge, DynamoDB
• Expertise in database design, schema modeling, and query optimization (DynamoDB & Snowflake preferred)
• Strong grasp of integration design patterns, secure API development (REST/SOAP), and system interoperability
• Develop and maintain GitLab based CI/CD pipeline implementations for tests, linting, deployment, etc.
• Experience with managing infrastructure as code (Terraform, CloudFormation)
• Demonstrated experience building and maintaining integrations with Salesforce, NetSuite, Workday, Coupa, Stripe, Snowflake
• Familiarity with data validation, schema evolution, and cross-system reconciliation (preferred)
• Excellent collaboration and communication skills in a distributed, global team setting
• Confidence navigating production environments, owning critical issue resolution from end to end
• Experience delivering integrations and automation solutions across Finance, People, Sales, Legal, BI
• Proven ability to lead initiatives and proactively communicate with technical and non-technical stakeholders
• Comfortable working independently, while also mentoring and reviewing work for Level 1/2 developers
• The flexibility to adjust to changing priorities, new technologies, and evolving project requirements.
• Comfortable operating in an Agile environment, and familiar with Sprint ceremonies like Daily stand-up, Sprint planning,Sprint Finalization etc. 
• Familiar with prompt engineering / Generative AI for code generation is preferred

We are seeking a QA Automation engineer to support Vonage’s Residential platform.  As part of this role, the candidate will learn, automate our front end and backend Business Support Systems (BSS) including billing , product catalog, ordering shipping and more.  The components also support the APIs for all frontend applications including support tools, customer self service, subscribe and online account.

Specific Requirements (Technical Knowledge, Responsibilities, Software, Etc.)

• A minimum of 6+ years of experience in the role of a QA Automation Engineer is required.
• Excellent communication skills (written and oral)
• Linux based systems (RedHat, Docker, etc.) 
• Develop automated tests and test frameworks to enhance software quality.
• Conduct functional and non-functional testing, including performance, security, resiliency, and chaos testing.
• Identify and implement quality processes to enhance engineering efficiency.
• Automate various aspects of the software development lifecycle.
• Strong automation testing expertise for REST and SOAP APIs, with coding proficiency in Python or Java.
• Hands-on experience with performance testing frameworks (e.g., Selenium, Cucumber) and CI/CD tools like Jenkins or GitHub Actions.
• Experience with Apache & WebLogic platforms 
• Understanding of various database architectures (SQL / Oracle, Mongo, etc.)
• Working knowledge of GIT, SVN, JIRA, AWS, Puppet, SOAPUI
• Experience partnering and collaborating with both on and off-shore teams
• Experience working in an agile environment

Additional Skills (would like to have but not required)

• Knowledge of billing platforms
• Familiarity with cloud platforms, particularly AWS, and infrastructure-as-code tools like Terraform and CloudFormation.
• Experience with observability and monitoring tools like Grafana and Kibana.
• Understanding of JMS or other message processing platforms.

#LI-CK1

Role Overview

At JazzX, we are building a modern cloud-native platform ecosystem focused on scalability, reliability, automation, security, and developer self-service. Our platform leverages Microsoft Azure, Cloudflare, AI/LLM-driven operations, and Agentic workflows to automate infrastructure management, deployment operations, incident response, platform intelligence, and customer instance lifecycle management.

We are looking for a highly experienced Staff Platform Engineer to lead the architecture, automation, scalability, and operational maturity of our platform infrastructure and engineering ecosystem. This role requires deep expertise across cloud infrastructure, distributed systems, networking, DevOps, platform engineering, security, and intelligent automation.

As a senior technical leader, you will drive platform strategy, define engineering standards, mentor engineers, and build highly scalable and resilient systems that improve developer productivity, operational efficiency, security, and customer experience.

Platform Architecture, Engineering & Reliability

• Architect and build scalable, secure, and highly available cloud-native platforms on Microsoft Azure
• Design and manage infrastructure automation using Terraform, GitOps, and Infrastructure as Code (IaC)
• Build and improve CI/CD systems, deployment orchestration, environment provisioning, and self-service developer platforms
• Design secure networking and authentication systems using Cloudflare, API gateways, private networking, and Zero Trust principles
• Drive platform reliability, scalability, observability, security, and operational excellence across production environments
• Lead incident management, root cause analysis, operational governance, deployment reliability, and resiliency improvements
• Build AI/LLM and Agentic operational workflows for troubleshooting, automation, operational insights, and intelligent platform management
• Improve operational efficiency through automation, intelligent tooling, anomaly detection, and cloud cost optimization
• Strong hands-on coding experience in Python, Go, or modern programming languages with strong system design and problem-solving fundamentals
• Deep understanding of cloud-native architectures, distributed systems, networking, CI/CD, infrastructure automation, and platform engineering principles
• Experience building internal developer platforms, self-service systems, operational tooling, and AI-assisted engineering workflows
• Strong understanding of SDLC, DevOps practices, Agile methodologies, release governance, and production operational models
• Strong troubleshooting and debugging skills across infrastructure, cloud, deployment, networking, and application layers

Technical Leadership & Collaboration

• Partner with engineering, architecture, security, and product teams to define platform standards and long-term technical strategy
• Improve developer experience, platform adoption, deployment reliability, and operational maturity across teams
• Lead architecture discussions, operational reviews, and production readiness initiatives
• Mentor engineers and drive engineering best practices across platform and infrastructure domains
• Drive engineering culture around automation, scalability, reliability, operational excellence, and platform standardization
• Strong communication, collaboration, stakeholder management, and technical leadership skills

Experience

• 10+ years of experience in Platform Engineering, Infrastructure Engineering, DevOps, SRE, or Cloud Engineering
• Extensive experience managing large-scale production environments on Microsoft Azure
• Experience with Kubernetes, container platforms, GitOps, Terraform, and cloud-native systems
• Experience building enterprise-grade CI/CD and deployment automation platforms
• Experience driving operational excellence, observability, reliability engineering, and infrastructure automation initiatives
• Experience leading cross-functional technical initiatives and mentoring engineers
• Experience with AI/LLM workflows, coding agents, and intelligent automation systems is a strong plus

Technical Skills

Cloud & Infrastructure

• Microsoft Azure, Azure Networking, VNet, NSG, Load Balancer, Private Endpoints, Azure Kubernetes Service (AKS), Azure Container Apps, Azure API Management, Azure Entra ID, Azure Monitor and Log Analytics

Infra, DevOps, Automation and Building Platform

• Terraform,GitHub Actions / Azure DevOps, CI/CD Pipeline Design, Infrastructure as Code (IaC), GitOps, Python / Go any programming language

Networking & Security

• Cloudflare Gateway / WAF, API Security, Authentication & Authorization, SSO Integration (Okta, Entra ID), Network Security and Zero Trust concepts

Observability & Operations

• Monitoring and Alerting, Logging and Tracing, Incident Management, Root Cause Analysis, Reliability Engineering

AI & Platform Intelligence

• LLM-based operational workflows, Agentic automation systems, AI-assisted incident analysis and remediation, Intelligent anomaly detection and operational insights

Nice To Have

• Kubernetes ecosystem tools, Service Mesh, Vector databases, MCP/Agentic orchestration frameworks, FinOps and cloud cost optimization tools

Role Overview

At JazzX, we are building a modern cloud-native platform ecosystem focused on scalability, reliability, automation, security, and developer self-service. We leverage Microsoft Azure, Cloudflare, AI/LLM-driven operations, and Agentic workflows to simplify infrastructure management, deployment automation, incident response, and platform operations across multiple environments and customer instances.

We are looking for a highly skilled Senior Platform Engineer who can design, build, automate, and operate large-scale cloud platforms while driving engineering excellence across infrastructure, networking, security, CI/CD, observability, and platform automation.

This role requires strong hands-on technical expertise, ownership mindset, system thinking, and the ability to collaborate across engineering, DevOps, security, and product teams.

Platform Engineering & Operational Excellence

• Design, build, and operate scalable, secure, and highly available cloud infrastructure on Microsoft Azure
• Build and manage platform services including networking, authentication, CI/CD, observability, deployment automation, and self-service systems
• Develop reusable Infrastructure as Code (IaC) frameworks using Terraform, GitOps, and modern automation practices
• Design secure network architectures including VNets, private networking, routing, WAF, API gateways, and Zero Trust principles
• Build automated deployment, environment provisioning, and multi-instance platform management workflows
• Improve platform reliability, operational stability, monitoring, alerting, logging, tracing, and incident response processes
• Drive operational automation, platform resilience, release governance, rollback strategies, and deployment reliability
• Build developer productivity tooling and self-service workflows for platform operations and environment management
• Contribute hands-on using Python, Go, or modern programming languages to build scalable systems, internal platforms, and automation frameworks
• Apply strong system design, distributed systems, troubleshooting, and problem-solving skills across cloud, network, deployment, and infrastructure layers
• Leverage AI/LLM-driven workflows, coding agents, and Agentic systems to improve operational efficiency, automation, incident management, and platform intelligence
• Drive cloud cost optimization, usage visibility, anomaly detection, and operational efficiency initiatives
• Strong understanding of SDLC, DevOps, Agile methodologies, release governance, production operations, and Site Reliability Engineering (SRE) practices
• Strong ownership mindset with focus on scalability, automation, reliability, operational excellence, and developer productivity

Collaboration & Leadership

• Partner with engineering, security, architecture, and product teams to define platform standards, operational processes, and long-term technical strategy
• Work closely with application teams to improve platform adoption, deployment reliability, and developer experience
• Collaborate with security teams to implement authentication, authorization, governance, compliance, and operational security standards
• Participate in architecture reviews, production readiness reviews, operational planning, and incident management discussions
• Mentor engineers and contribute to platform engineering best practices, technical standards, and documentation
• Drive technical discussions and contribute to platform modernization and intelligent automation initiatives

Experience

• 6+ years of experience in Platform Engineering, DevOps, SRE, or Cloud Infrastructure Engineering
• Hands-on experience managing production-scale Azure environments and enterprise-grade CI/CD systems
• Experience working with Kubernetes, cloud-native platforms, infrastructure automation, observability, and distributed systems
• Experience supporting multi-environment and multi-tenant platform operations at scale
• Experience with AI-assisted engineering workflows, operational tooling, or intelligent automation systems is a strong plus
• Strong communication, collaboration, and technical leadership capabilities

 Technical Skills

Cloud & Infrastructure

• Microsoft Azure, Azure Networking, VNet, NSG, Load Balancer, Private Endpoints, Azure Kubernetes Service (AKS), Azure Container Apps, Azure API Management, Azure Entra ID, Azure Monitor and Log Analytics

Infra, DevOps, Automation and Building Platform

• Terraform,GitHub Actions / Azure DevOps, CI/CD Pipeline Design, Infrastructure as Code (IaC), GitOps, Python / Go any programming language

Networking & Security

• Cloudflare Gateway / WAF, API Security, Authentication & Authorization, SSO Integration (Okta, Entra ID), Network Security and Zero Trust concepts

Observability & Operations

• Monitoring and Alerting, Logging and Tracing, Incident Management, Root Cause Analysis, Reliability Engineering

AI & Platform Intelligence

• LLM-based operational workflows, Agentic automation systems, AI-assisted incident analysis and remediation, Intelligent anomaly detection and operational insights

Nice To Have

• Kubernetes ecosystem tools, Service Mesh, Vector databases, MCP/Agentic orchestration frameworks, FinOps and cloud cost optimization tools

Why Join Us

At JazzX AI, you have the opportunity to become an integral part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence driven future. We champion bold innovation, continuous learning, and embrace the challenges and rewards of crafting something genuinely groundbreaking.

Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering a unique chance to leave your mark on the future of AI.

We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more.

We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. 

Bready* to make a change?

Toast is looking for a Staff Machine Learning Engineer to serve as a technical linchpin for our AI Platform team. At the P4 level, you aren't just deploying models; you are designing the fundamental infrastructure that enables dozens of teams to build, deploy, and monitor AI at scale. You will act as a force multiplier, mentoring senior engineers and setting the architectural standards for our MLOps lifecycle—from feature stores and automated retraining to high-performance inference at the edge.

About this Roll*:

• Architectural Leadership: Design and lead the evolution of a unified MLOps platform that supports diverse needs across Toast, ensuring high availability, scalability, and security of ML services.
• Engineering Excellence: Champion and institutionalize best practices for CI/CD for ML (MLOps), automated testing, and infrastructure-as-code (Terraform).
• Cross-Functional Synergy: Lead collaborative efforts across Data Engineering, DevOps, and Product teams to bridge the gap between model prototyping and production-grade reliability.
• Strategic Roadmapping: Partner with leadership and Product Managers to define the 1-2 year technical vision for AI infrastructure, prioritizing long-term stability over short-term fixes.
• Operational Ownership: Set the standard for observability and incident response for ML systems, driving root-cause analysis for complex system failures.
• Mentorship: Actively mentor P2 and P3 engineers, fostering a culture of technical rigor and continuous learning.

Do you have the right ingredients*?

• Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
• Experience: A minimum of 10-12+ years of professional software engineering experience, with at least 6-7 years specifically focused on productionizing and scaling ML systems at the enterprise level.
• Core Tech Stack: Expert-level proficiency in Python, Scala, or Java/Kotlin. Extensive experience with PySpark and high-performance computing.
• Generative AI & LLMOps: Proven track record of taking LLM applications from research to production, including experience with Vector Databases, LangChain/LangGraph, and A2A protocols.
• System Design: Superior ability to design distributed systems that handle millions of requests with sub-second latency.
• Experience with microservice based architecture, preferably with AWS tooling (SageMaker, DynamoDB, Athena, Glue, etc.)
• Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration, MLflow
• Profound knowledge of model deployment, orchestration (Apache airflow, Prefect), scaling, and managing CPU/GPU resources efficiently. 
• Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach. 
• Outstanding communication and interpersonal skills, coupled with a demonstrated ability to work collaboratively within a team environment.
• Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable

Bonus Ingredients (The "Staff" Edge)

• Data Strategy: Experience implementing enterprise-grade Feature Stores (e.g., Tecton, Feast) and real-time streaming frameworks like Apache Flink or Ray.
• Full-Stack Visibility: Ability to dive into the UI/UX layer (React) or deep into the kernel/networking layer to debug performance bottlenecks.

Open Source/Community: Contributions to relevant open-source projects (MLflow, Kubeflow, etc.) or a history of speaking at industry conferences.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

The Multi Geo / Multi Cloud Application Architect at OpenFX owns the design and integrity of a payments and FX platform that must operate across multiple geographic regions and cloud environments without compromising on availability, data sovereignty, latency, or regulatory compliance. This is not a role that designs architecture in the abstract. You are responsible for decisions that determine whether a settlement clears in London during an AWS eu-west-1 degradation, whether a client in the UAE can transact without their data leaving the region, and whether OpenFX can migrate between cloud providers without a full platform rewrite.

Cross-border payments and FX are inherently distributed problems. Transactions originate in one jurisdiction, clear through correspondent networks in another, and settle in a third. The infrastructure that supports this must match that complexity with equivalent architectural rigour. You are the person who ensures it does.

You operate at the intersection of distributed systems engineering, cloud infrastructure, and financial regulatory compliance. You work closely with the Principal Architect, Platform team, pod-level Tech Leads, and the Security and Compliance functions to define standards, validate designs, and resolve the hardest architectural trade-offs the organisation faces.

Key Skills

Distributed Systems & Cloud Architecture

• Deep expertise in multi-region application design: active-active and active-passive topologies, global load balancing, regional failover, and cross-region replication strategies
• Strong hands-on experience with at least two major cloud providers (AWS, GCP, Azure) and a clear understanding of where provider capabilities diverge in ways that matter for financial workloads
• Proficiency in cloud-agnostic infrastructure patterns: Kubernetes (multi-cluster federation, cross-region networking), service mesh architectures, and infrastructure-as-code tooling (Terraform, Pulumi)
• Solid understanding of networking fundamentals at scale: BGP, Anycast, CDN strategies, private interconnects, and east-west traffic management across regions
• Familiarity with distributed data consistency models: eventual consistency, strong consistency trade-offs, CRDTs, and conflict resolution strategies in globally distributed databases

Financial Domain & Compliance Architecture

• Understanding of data residency and sovereignty requirements across key OpenFX operating jurisdictions: UAE (ADGM / DFSA), UK (FCA), EU (GDPR / PSD2), and other relevant frameworks
• Ability to design data partitioning and routing architectures that enforce jurisdictional boundaries without fragmenting the platform into isolated silos
• Familiarity with financial infrastructure concepts: payment rail latency, settlement finality, FX liquidity provider connectivity, and correspondent banking dependencies
• Experience ensuring audit logging, data lineage, and access controls work coherently across multi-cloud, multi-region environments

Engineering Craft & Architecture Practice

• Ability to produce ADRs, reference architectures, and design documents that are precise enough for engineers to implement from and clear enough for product and compliance to validate against
• Strong systems thinking: able to reason about failure modes, blast radius, and cascade effects in complex distributed systems
• Experience running architecture review processes across multiple independent teams

Collaboration & Communication

• Communicates complex architectural constraints and trade-offs clearly to non-technical stakeholders
• Influences through reasoning and evidence, not authority; builds consensus across pod-level Tech Leads and EMs
• Comfortable operating with significant ambiguity at the frontier of what the platform needs to become

Roles & Responsibilities

Multi-Region Architecture Design & Ownership

• Define and maintain the reference architecture for multi-region deployment: traffic routing, data replication, failover behaviour, and regional isolation boundaries
• Own architectural decisions that govern how services are deployed, scaled, and failed over across regions; ensure those decisions are documented and revisited as the platform evolves
• Design for regional independence: the ability to isolate a region for regulatory or operational reasons without degrading global capability
• Define standards for how new services must be designed to operate in a multi-region context from day one, not as a retrofit

Multi-Cloud Strategy & Portability

• Maintain an architecture that avoids hard coupling to any single cloud provider for critical platform functions
• Evaluate where to leverage managed cloud services versus cloud-agnostic alternatives, with explicit reasoning about portability, cost, and operational overhead
• Lead design of abstraction layers and platform primitives (with the Platform pod) that allow services to run across cloud environments without service-level re-engineering
• Define and test cloud provider failover runbooks; ensure provider-level degradation can be responded to within defined RTO and RPO targets

Data Sovereignty & Regulatory Architecture

• Design data routing, storage, and processing architectures that enforce jurisdictional data residency requirements across all regions OpenFX operates in
• Work with Compliance and Legal to translate regulatory obligations into concrete architectural constraints enforced at infrastructure and application layer
• Define the data classification framework for multi-region environments: what replicates globally, what stays regionally isolated, what requires explicit consent to move
• Ensure observability infrastructure produces the evidence needed to demonstrate data residency compliance to regulators

Platform Reliability & Resilience

• Define availability and resilience targets; ensure the architecture is designed to meet them under realistic failure scenarios, not just nominal conditions
• Lead chaos engineering and failure mode analysis exercises to validate that failover, replication, and multi-cloud fallback behave as designed
• Own the observability architecture across multi-region, multi-cloud deployments: unified logging, distributed tracing, and alerting that works coherently regardless of where workloads run
• Establish SLO / SLA frameworks that reflect the availability and latency commitments OpenFX makes to clients and liquidity providers

Cross-Team Architecture Governance

• Conduct architecture reviews for significant features, integrations, and infrastructure changes across all pods; ensure multi-region and multi-cloud implications are addressed before build begins
• Maintain and evolve the ADR library; ensure decisions are current and discoverable by engineers across the organisation
• Work with pod Tech Leads to identify and address architectural drift where production systems have deviated from intended design
• Contribute to the Platform pod's roadmap: identify shared infrastructure investments that reduce the cost of multi-region operation for all pods

What Success Looks Like

• A regional cloud provider degradation does not cause a platform-wide outage; failover occurs within defined targets and clients are not materially impacted
• OpenFX can demonstrate to regulators in any operating jurisdiction that client data complies with local residency requirements, backed by architecture rather than manual controls
• Pod engineers have clear standards for building multi-region-ready features and do not re-solve distributed systems problems that have already been solved at the platform level
• The platform is not locked to any single cloud provider; a migration decision can be executed as an operational programme, not an architectural rewrite
• Architecture reviews are seen as a quality accelerator by engineering teams, not a bottleneck
• You are the person the organisation turns to when the hardest infrastructure trade-offs need to be resolved, and you resolve them with clarity and evidence

About the Role

The Ethos SRE group is looking for a SRE Engineer to collaborate with other teams to improve service reliability, automation  and observability and improve their application maturity, reliability, and production readiness. In this role, you will create new infrastructure and support tools, help other teams debug issues, and act as advisors regarding production readiness when new services are being designed and brought online. The person in this role will exhibit good mentoring and coding skills as well as the ability to solve complex problems related to reliability . This role also requires good interpersonal skills and the ability to motivate other teams to adopt best practices concerning reliability.

Duties and Responsibilities:

• Collaborate with other engineering teams to enhance the reliability and performance of applications, up to and including submitting PRs to their codebases with improvements
• Assist with automation, continuous integration and delivery of applications and configurations
• Assist other teams with designing solid foundations and best practices around running services in production environments
• Assist other teams implementing infrastructure level dependencies
• Help other teams identify, design, and monitor proper service-level indicators (SLI) and service-level objectives (SLO)
• Design and implement cross company resilient and reliable tools, resources, infrastructure and processes

Qualifications and Skills:

• 4+ years of full time software engineering experience in relevant role (Backend SWE / SRE / DevOps / Infrastructure / Operations)
• Experienced with software engineering best practices – design patterns, code reviews, testing, etc.
• Ability to communicate technical specifications both verbal and written
• Strong interpersonal skills
• A strong desire to remove any toil from a system
• Preferred background in distributed systems and infrastructure
• Preferred engineering experience in TypeScript, GoLang, Python, PostgreSQL, AWS
• Preferred experience with Kubernetes and Kubernetes operators
• Preferred knowledge of CI/CD systems
• Preferred experience with: Terraform, argoCD, Atlantis, GitHub Actions and DataDog

#LI-Hybrid
#LI-KP1

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

About Zuora

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

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

The Opportunity

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

You’ll:

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

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

About You

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

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

The Team

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

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

Benefits

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

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

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

#ZEOLife at Zuora

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

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

Our Commitment to an Inclusive Workplace

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

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

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

For over 20 years, Smartsheet has helped people and teams achieve–well, anything. As the Intelligent Work Management Platform, we are redefining the velocity of work by uniting people, data, and AI to move businesses forward. We don’t just automate tasks; we eliminate execution silos and turn strategic vision into measurable enterprise impact. We’re creating a space to think big and take action, because when challenge meets purpose and AI-powered execution meets human ingenuity, that’s magic at work. It’s what we show up for every day, helping organizations not just keep up with change, but thrive because of it.

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Manager AI/ML Ops Engineering, who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Focus on team members and coaching them to play to their strengths, grow and deliver peak performance
• Lead and mentor a team of AI/ML Ops engineers and operations specialists.
• Define and govern solutions for AI/ML operations, ensuring scalability, cost-efficiency, and reliability
• Develop and maintain standardized AI/MLOps workflows, including CI/CD/CT (Continuous Integration/Continuous Delivery/Continuous Training) pipelines
• Delegate and harness the aggregate strength of your team.
• Focuses on individual and team needs to foster a positive culture consistent with Smartsheet values.
• Actively helps individuals and the overall team to set priorities and focus on delivery of commitments
• Review team's designs and provide feedback on deployment safety, resilience, scale, performance, and security
• Lead and facilitate cross-team interactions, communication, and dependencies
• Ensure all changes are fully tested before being deployed
• Ensure deployment plans are well-considered and include appropriate scalability and load tests
• Work with stakeholders to align AI projects with business strategies.
• Ensure all AI/ML Ops solutions adhere to regulatory compliance, security, and ethical guidelines
• Drive Engineering and Operational excellence initiatives
• Perform other duties as assigned
  
  

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Experience building teams through recruiting and retention
• Experience in Leading and Mentoring a team of ML engineers and operations specialists.
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Legally eligible to work in India on an ongoing basis

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines
• Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable
• CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools
• Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms
• Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable
• Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time.
• Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable
• Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users
• Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production.
• Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow.
• Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design, AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Legally eligible to work in India on an ongoing basis

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines
• Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable
• CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools
• Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms
• Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable
• Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time.
• Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable
• Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users
• Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production.
• Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow.
• Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design, AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Legally eligible to work in India on an ongoing basis

Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting. 

A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms.

This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.

You Will:

• Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products. 
• Contribute to the design standards and architectural principle standards, designs and processes.
• Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV).
• Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines.
• Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight.
• Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster.
• Create and implement data testing plans, encompassing data validation, data quality assessment, and regression testing, to identify anomalies, inconsistencies, or errors in produced datasets.
• Mentor and guide teams and help drive high standards across the team by conducting design reviews and engineering ideation forums.
• Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).

You Have:

• 6+ years of experience in advanced data modeling using Data Vault (DV 2.0), dbt, and Snowflake.
• Proven experience in building analytics systems with data transformation, dependency, and workload management (Data Vault, AutomateDV, dbt core, Airflow, Snowflake, GitLab, SQL).
• Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
• Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
• Familiarity with data governance principles for maintaining datasets to enable a single source of truth.
• Familiarity with self-serve product analytics tools (Amplitude, Thoughtspot, Tableau, Gainsight, etc.).
• Knowledge of code management and CI/CD practices (GitLab, Airflow, Snowflake, Terraform).
• Familiarity with AWS solutions such as S3, EC2, VPC.

Automation is the key to creating highly reliable and secure large-scale software systems. Are you someone who engineers solutions to problems rather than simply fixing the same thing over and over again? Can you protect Smartsheet against attackers?

We are looking for a Senior DevSecOps Engineer to join our global Security Operations team. In this critical role, you will be a leader in maturing our security and reliability posture by treating both as software engineering challenges. You will engineer and operate a highly reliable, scalable, and defensible production environment, directly impacting our ability to deliver a world-class service to our customers 24/7. This is a unique opportunity to blend deep expertise in Site Reliability Engineering (SRE) and modern Security Operations, working at the intersection of infrastructure, automation, and security to build a platform that is resilient and secure by design.

You Will:

• Engineer Secure and Resilient Infrastructure: Design, build, maintain, and improve secure, scalable, and highly available infrastructure in our multi-cloud environment (primarily AWS) using Infrastructure as Code (IaC) principles with tools like Terraform, Kubernetes, and Helm.
• Automate Proactive Security: Engineer and automate threat detection, incident response, and vulnerability management processes. You will build the tools and workflows that allow us to respond to threats at machine speed.
• Secure the Software Development Lifecycle: Architect and secure our CI/CD pipelines, integrating automated security tooling (SAST, DAST, SCA) to provide developers with fast, actionable feedback.
• Master Container Security: Manage, operate, and secure our container orchestration platform (Kubernetes), implementing best practices for container security from the registry to runtime, including knowledge of hardening requirements such as CIS Benchmarks or DISA STIG.
• Lead Incident Response: Act as a technical lead during security and reliability incidents, driving resolution and conducting blameless post-mortems to engineer preventative solutions.
• Drive Automated Compliance: Implement and automate technical controls to ensure continuous compliance with frameworks such as FedRAMP, SOC 2, and ISO 27001.
• Mentor and Lead: Serve as a subject matter expert for security and reliability, mentoring other engineers and championing a culture of operational excellence and security ownership across the organization.

You Have:

• 8+ years of progressive experience in technology, with at least 5 years in a hands-on senior role such as Site Reliability Engineering, DevOps, or Security Engineering.
• A BS or MS in Computer Science, Engineering, or a related field, or equivalent industry experience.
• Expert-level proficiency in at least one major cloud provider, preferably AWS, with deep knowledge of core infrastructure and security services.
• Expert-level proficiency with Infrastructure as Code, particularly Terraform.
• Expert-level proficiency in a scripting or programming language such as Python, Go, or Ruby, with a proven history of building automation and custom tooling.
• Deep experience with containerization and orchestration technologies (Kubernetes), including securing containerized environments.
• Proficiency with the modern security operations toolchain, including SIEM, EDR, and vulnerability scanning technologies.
• Experience integrating security tools (SAST, DAST, SCA) into CI/CD pipelines.
• A critical thinker with a proven ability to troubleshoot complex problems in high-pressure production environments.
• Excellent verbal and written communication skills and a collaborative spirit. This will include fluency in English.

Nice to Have

• Advanced industry certifications such as CISSP, CISM, OSCP, or cloud-specific security certifications.
• Experience with compliance frameworks like FedRAMP, ISO27001, SOC2.

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Principal Data & AI/ML Ops Engineers, who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. 

You Will:

• Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems
• Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies
• Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources
• Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Data Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining data platform systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design involving large Petabytes of data with Databricks Lakehouse
• Experience in modern AI/Data infrastructure patterns, Semantics layer Organizing data for AI agents (metadata, context)
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python, SQL, and potentially Java or Scala
• Exposure to Snowflake and Data pipeline frameworks like Airbyte/Airflow is preferable
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Driving engineering excellence initiatives
• Legally eligible to work in India on an ongoing basis

Required Skills and Experience:

• 7+ years of experience in network engineering roles
• Relevant experience or certification (e.g. CCNP or JNCIP Data centre, Enterprise or Service provider)
• Strong knowledge of BGP, OSPF, routing policies, and network troubleshooting
• Strong understanding of TCP/IP, DNS, NAT, routing, switching, and load balancing
• Hands-on experience with Cisco networking platforms
• Ability to troubleshoot layer 2 (ARP and MAC address tables as well as LACP and MC-LAG)
• Ability to troubleshoot DNS problems
• Experience with common network cabling
• Kubernetes CNI (Calico, Cilium)
• Cloud & Hybrid Networking
• Experience with hybrid cloud networking including site-to-site VPNs and private connectivity (AWS Direct Connect, GCP Interconnect)
• Understanding of cloud-native networking services (VPC, Transit Gateway, Cloud Router)
• Automation & Infrastructure-as-Code
• Working knowledge of Terraform for network infrastructure provisioning
• Experience with configuration management tools (Ansible, or similar)
• Observability & Operations
• Experience implementing network monitoring and alerting systems
• Understanding of network performance metrics and logging
• Ability to create and maintain runbooks and documentation
• Security
• Experience implementing network security controls and segmentation
• Understanding of firewall management and security policies
• Familiarity with network access control concepts

Preferred skills:

• EVPN
• Experience with IPv6 rollout
• Juniper specific knowledge and experience
• Linux CLI

About the Role:

Production Engineer
The Production Engineer at Rubrik plays a critical role in operational excellence, managing alerts, responding to outages, and leading incident resolution as an Incident Manager. This role requires hands-on experience in maintaining highly available critical services across multi-cloud environments while driving continuous improvements through automation and intelligent monitoring.

What you’ll do:

• Join a 24/7 Production Operations team responsible for managing and supporting critical infrastructure and services in multi-cloud environments.
• Oversee staging and production environments to ensure maximum uptime and reliability.
• Implement and maintain comprehensive observability solutions for real-time monitoring, alerting, and metrics collection.
• Lead incident management efforts by swiftly responding to alerts and outages, coordinating teams to drive timely resolution.
• Analyze recurring incidents to identify root causes, reduce toil, and improve system resilience.
• Design and develop automation tools to proactively detect, triage, and remediate production issues.
• Maintain and update runbooks to support incident response and recurring issues.
• Demonstrate strong decision-making skills under pressure, effectively managing critical situations with urgency and composure.

Experience you’ll need:

• Solid understanding of distributed system concepts.
• Practical experience working with production systems and environments, preferably within public cloud infrastructures.
• Familiarity with container orchestration platforms, especially Kubernetes.
• Hands-on experience with infrastructure  management tools like CloudFormation and Terraform.
• Strong analytical and problem-solving skills  for diagnosing and resolving system and application issues.
• Proficient in data structures and algorithms, UNIX, networking, operating systems, and database systems such as MySQL.
• Proficient with Python programming skills.
• Excellent verbal and written communication skills.

Location: Bangalore, India
Work Shift: Rotation (24/7 coverage expected) 

ABOUT RUBRIK

Join Us in Securing the World's Data

Rubrik (NYSE: RBRK) is on a mission to secure the world’s data. With Zero Trust Data Security™, we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. We help organizations uphold data integrity, deliver data availability that withstands adverse conditions, continuously monitor data risks and threats, and restore businesses with their data when infrastructure is attacked.

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Key Responsibilities: 

• Design, develop, and optimize enterprise ETL/ELT pipelines utilizing Azure Data Factory, Azure Data Lake Storage, and advanced serverless technologies—ensuring cross-platform scalability, security, and reliability. 

• Architect and implement highly efficient, complex SQL solutions—including advanced query optimization, partitioning, and indexing—to power sophisticated analytics models and enable real-time data processing. 

• Lead the development and integration of robust automation frameworks using Python, and API orchestration, introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency. 

• Exercise full ownership of production pipeline reliability; proactively identify and resolve critical issues through deep root-cause analysis, and institute resilient, long-term stability measures for continuous uptime. 

• Establish, refine, and enforce rigorous coding and architectural standards through comprehensive code reviews and technical audits, setting quality benchmarks for the offshore engineering team. 

• Serve as a liaison with onshore leadership, driving strategic backlog prioritization, release management, and complex cross-regional project coordination to align with organizational objectives. 

• Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets. 

• Assist with enterprise capacity planning, resource optimization, and architectural design of innovative data solutions tailored to evolving business requirements. 

• Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging deep Azure and SQL expertise. 

Senior-Level Expectations: 

• Act as the organization’s subject matter expert (SME) in end-to-end pipeline architecture, orchestration frameworks, schema evolution, and advanced Azure Data Factory strategies. 

• Mentor and develop junior and mid-level engineers through structured coaching, technical workshops, and ongoing knowledge transfer, cultivating a high-performance engineering culture. 

• Lead modernization initiatives across the organization, championing the adoption of technologies such as Databricks, DBT and advanced DevOps practices to future-proof the data platform and enable rapid innovation. 

• Ensure strict adherence to SLAs and regulatory compliance through advanced monitoring, proactive risk mitigation, and continuous improvement of operational processes. 

Required Skills 

• 5-6years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP). 
• Provenexpertisein designing, optimizing, and managing large-scale, production-grade data pipelines, including deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation. 
• Advanced knowledge of production operations, troubleshooting, and high-availability data processing at scale.

Good to Have 

• Adverity
• Dataflow
• Big Query
• Databricks
• DBT
• Terraform
• Wrike/Jira/Azure DevOps
• DP‑203 / GCP Data Engineer certifications

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

#LI-GOC

THE ROLE

At Portworx by Everpure, our product enables stateful containers in production, and we've been recognized as a Gartner Cool Vendor. Our technology encompasses a distributed storage platform and integrated controls with container schedulers such as Kubernetes, Mesosphere, Rancher, Nomad, and Docker Swarm. Our diverse customer base ranges from Global 2000 enterprises to cloud-native startups, running workloads on-premises and in public clouds.

WHAT YOU'LL DO

This is a senior technical role within the Technical Services COE team. As a Portworx Escalation Engineer (EE), you will need to tackle the most intricate and challenging customer issues, serving as the final support tier before escalation to development. You will offer technical expertise and troubleshooting assistance to Technical Service Engineers (TSEs) to resolve our most complex cases. If an issue persists or requires a code fix, you will effectively engage and communicate with development resources to identify root cause and present findings to our TSEs and customers to ensure timely resolution with the highest quality of service. The primary aim of this role is to minimize escalations to the Development team, identify opportunities for improvement, and to prevent future escalations from occurring. 

This position is well-suited for a support professional with robust interpersonal skills, seeking a dynamic, high-performance, entrepreneurial work environment. The ideal candidate should embrace the unpredictable nature of daily work in a rapidly expanding business.

• Offer technical expertise throughout all phases of the Portworx case management process for issues encountered in the field.
• Provide initial code review and analysis of current issues. 
• Resolve escalated service requests while maintaining a high level of service engagement, communication, and composure.
• Collaborate with customers and cross functional team members to troubleshoot and resolve escalated cases. 
• Act as the conduit between Technical Services and Engineering teams. 
• Proactively identify and resolve systemic issues in the field. 
• Mentor and coach TSEs and cross functional team members. 
• Assume ownership of communications for assigned issues, ensuring clarity and professionalism.
• Share and document knowledge through FAQ/KB articles, both internal and customer-facing. 
• Manage multiple projects/support cases concurrently. 
• Participate in a weekly on-call rotation. 
• Thrive as a team player in fast-paced and startup environments.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

We're looking for candidates with experience in supporting SaaS environments with a background in compute infrastructure, storage infrastructure, and container ecosystems, both on-premise and in the cloud. Technical expertise with one or more cloud providers (such as AWS, GCP, or Azure) is essential. Proficiency in Portworx, Kubernetes, Docker, Tanzu, VMware container solutions (CKA certification is required). Experience with one or more devops tools like Ansible, Chef, Puppet, Terraform is required. 

Your experience in a senior-level customer-facing role, providing various levels of technical guidance, will be pivotal. Furthermore, your ability to communicate effectively and work closely with our Product Development team for customer escalations will greatly contribute to the success of this role. You will be expected to resolve customer problems and escalations using appropriate resources.

• Bachelor's degree in Computer Science (Master's preferred) or a minimum of 8+ years of experience in customer-facing technical support work. 
• Experience in supporting SaaS products, with working knowledge of Portworx. 
• Demonstrated working experience supporting vSphere, Kubernetes, Containers, and Public Cloud platforms.
• Strong written, verbal, and collaboration skills.
• Strong understanding of GoLang.
• Minimum of 2 years experience in supporting production applications either on premises or in a cloud environment.

#LI-ONSITE

THE ROLE

Join a high-impact team of innovators dedicated to architecting the cyber-resilience solutions that protect the world’s most critical data. As a Senior Solutions Engineer, you will bridge the gap between Everpure's cutting-edge technology and our global ecosystem of data protection partners to build integrated, fail-safe infrastructures. You will act as a technical lighthouse, collaborating across Product Management and Engineering to transform complex hybrid-cloud challenges into validated, market-ready solutions that empower our customers to recover from anything.

WHAT YOU’LL DO

• Architect & Validate Cyber-Resilience Frameworks: Design and execute comprehensive test methodologies to validate Everpure’s integration with partners like Veeam, Commvault, and Rubrik, ensuring our solutions meet the highest standards of performance and reliability.

• Engineer Hybrid-Cloud Infrastructure: Build and maintain sophisticated, automated lab environments spanning on-premise and public cloud (AWS/Azure) to simulate real-world recovery scenarios and "proof of concept" demonstrations.

• Drive Technical Enablement & Thought Leadership: Author high-visibility technical collateral, including Reference Architectures, white papers, and deep-dive blogs that translate complex I/O protocols and data workflows into actionable business value for global field teams.

• Lead Cross-Functional Solution Launches: Partner with Product Management and Marketing to define the cyber-solutions roadmap, ensuring technical engineering efforts align perfectly with go-to-market strategies and evolving customer security needs.

• Optimize Performance Ecosystems: Diagnose and tune I/O pathways across block, file, and object storage protocols to maximize throughput and efficiency within enterprise-scale data protection workflows.

WHAT YOU BRING

• Deep Data Protection Expertise: You possess mastery in deploying and managing enterprise-grade data protection platforms (such as Veeam, Commvault, or Rubrik) and a thorough understanding of snapshot, replication, and air-gapped recovery technologies.

• Full-Stack Infrastructure Fluency: You have a holistic command of the modern data center, including expert-level knowledge of Linux, virtualization (VMware/Nutanix), and container orchestration (Kubernetes/OpenShift) within hybrid cloud environments.

• Automation & Diagnostic Skills: You are proficient in scripting and infrastructure-as-code (Python, Bash, Ansible, or Terraform) to automate complex environments and possess the analytical rigor to troubleshoot intricate performance bottlenecks.

• Technical Communication Excellence: You have a proven ability to distill deep technical validation results into professional documentation and executive-level presentations that influence both engineers and decision-makers.

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

Kubernetes & Bare Metal Engineer – Member of Technical Staff 

About Infrastructure Shared Services (ISS)

Infrastructure Shared Services (ISS) is responsible for Everpure's engineering infrastructure, development environments, and production-adjacent services across our global data centers and public cloud environments. We partner with internal engineering teams to deliver reliable, secure, and scalable platforms so they can focus on building high‑quality products.

Within ISS, the Bare Metal Kubernetes Platform team designs, builds, and operates large‑scale Kubernetes environments on bare metal servers, backed by Everpure arrays and Portworx, and integrated with ISS’s observability, CI/CD, and multi‑tenancy frameworks.

SHOULD YOU ACCEPT THIS CHALLENGE...

As an Bare Metal & Kubernetes Engineer, you will be a senior individual contributor responsible for designing, deploying, and operating large‑scale bare‑metal Kubernetes clusters and platform services in our on‑prem data centers.
You will:

• Lead technical design and implementation for new cluster features and capabilities
• Own critical areas of the platform (e.g., cluster lifecycle, networking, storage, observability, or multi‑tenancy)
• Drive reliability, performance, and security of the Kubernetes platform used by multiple business units
• Mentor other engineers and influence best practices across ISS and partner teams

Key Responsibilities

Platform Design & Architecture

• Design and evolve bare‑metal Kubernetes architectures including control plane, worker nodes, networking, and storage integrations (Portworx on FlashArray/FlashBlade).
• Define standards for cluster lifecycle management (provisioning, upgrades, decommissioning) using tools like Kubespray, Foreman, and internal CD pipelines.
• Contribute to design of multi‑tenant, secure clusters including RBAC, OIDC/SSO, namespace isolation, and quota/limit strategies.

Implementation & Operations

• Deploy, operate, and continuously improve large‑scale bare‑metal Kubernetes clusters across multiple data centers (dev, stg, prod).
• Implement and maintain cluster networking: CNI (e.g., Cilium), BGP, load balancers, ingress, and multi‑rack/ToR topologies.
• Build and maintain GitOps‑based workflows (e.g., ArgoCD) and CI/CD pipelines to manage cluster add‑ons, platform services, and tenant workloads.
• Ensure observability of the platform (metrics, logs, traces) using Prometheus, Elastic stack, Grafana, and related tooling; define SLOs and alerts with SRE teams.
• Participate in “follow the sun” on call for the production system. Lead or contribute the incident management and incident postmortem

Reliability, Security & Compliance

• Own and improve reliability and performance of clusters and platform components; lead root cause analysis and long‑term fixes for complex incidents.
• Implement and enforce security best practices for Kubernetes, including secure defaults, RBAC policies, network policies, and secrets management.
• Collaborate with SRE, Security, and Network Engineering to meet agreed SLIs/SLOs and support models for on‑prem Kubernetes.

Collaboration & Leadership

• Partner closely with BU engineering teams (e.g., GitHub Actions runners, ELK, KubeVirt workloads) to onboard and run production use cases on the bare‑metal clusters.
• Provide technical leadership on cross‑team projects: lead design reviews, write design docs, and drive decisions that balance reliability, cost, and user experience.
• Mentor junior and mid‑level engineers, sharing best practices in Kubernetes, automation, and production operations.

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

• 6+ years of experience in infrastructure, SRE, or platform engineering roles, including at least 3 years running Kubernetes in production, with significant experience on bare metal.
• Strong proficiency in Linux systems administration, networking, performance tuning, and security hardening.
• Deep understanding of Kubernetes internals (API server, etcd, controllers, scheduler, kubelet) and key concepts (Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, HPA).
• Hands‑on experience with Kubernetes networking: CNI plugins (preferably Cilium), Services/Ingress, NetworkPolicies, and L4/L7 load‑balancing.
• Proficiency with Infrastructure as Code (IaC) and automation tools such as Ansible, Terraform, or equivalent.
• Strong experience with observability stacks (e.g., Prometheus, Elastic/ELK, Grafana, Fluentd/Fluent Bit) for cluster and workload monitoring.
• Solid scripting or programming skills (e.g., Python, Go, or similar) for automation, tooling, and integration work.
• Excellent communication and documentation skills, with the ability to collaborate effectively across distributed teams and write clear technical documentation and runbooks.

MINIMUM QUALIFICATIONS (EDUCATION & EXPERIENCE)

• Experience building or operating KubeVirt or other virtualization solutions on top of Kubernetes.
• Prior work with on‑prem GitHub Actions runners or similar CI/CD runners on Kubernetes (cloud or bare metal).
• Familiarity with Portworx and Everpure Storage arrays as persistent storage for Kubernetes clusters.
• Experience in multi‑tenant platform design: authentication via OIDC/Okta, RBAC design, tenant isolation, and self‑service onboarding flows.
• Background in data center networking (BGP, MLAG, ECMP, spine‑leaf architectures) and how it interacts with Kubernetes networking at scale.
• Hands‑on experience with OpenStack in production (Nova, Neutron, Cinder) and integration patterns between OpenStack, Kubernetes, and on‑prem infrastructure.

About Rubrik and the team

Rubrik is on a mission to secure the world’s data. With our Zero Trust Data Security™ platform, we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik protects data wherever it lives—across enterprise, cloud, and SaaS—and delivers data observability, orchestration, and recovery at scale.

The Information Technology team at Rubrik influences business processes, employee experience, and technologies to scale our organization to $1B+. This team creates operational efficiency across the company by centralizing the management of Infrastructure, Technology, and Data. The IT team ensures all stages of the software development lifecycle in a secured environment and scrutinizes the deployment of proper processes along with governance. They champion Rubrik on Rubrik and are the first customers of the Engineering teams at Rubrik. We're transforming global infrastructure, and we’re looking for bold thinkers and builders to join us. If you're passionate about making an impact and shaping the future of cloud and platform infrastructure—we'd love to hear from you.

About the Role

The Enterprise AI team is Rubrik’s internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations — our job is to make Rubrik more efficient, one AI-powered workflow at a time.
This is a high-impact, high-autonomy team where you’ll work closely with engineering, product and operations teams across Rubrik to bring AI capabilities to life.

We’re hiring a Sr. Software Developer to design, build, and operate the platform and backend systems that power Rubrik at scale. You’ll own core infrastructure — from Kubernetes and cloud-native services to APIs and developer tooling — and work closely with product, AI, and security teams. This is a hands-on, high-ownership role where you write production code, design systems, lead code reviews, and make the engineering organization more effective.

Key Responsibilities

• Own end-to-end delivery of major platform initiatives, from design through deployment and post-launch success.
• Own Kubernetes at depth — clusters, networking, operators, container lifecycle, and multi-tenant orchestration.
• Design, develop, and optimize distributed services and cloud-native infrastructure on AWS and/or GCP for scale, reliability, and performance.
• Drive engineering excellence through code quality standards, design reviews, automation, and CI/CD best practices.
• Collaborate across teams — Product, AI, and Security — to align architecture with business objectives.
• Be a mentor and multiplier, guiding engineers through architecture decisions, trade-offs, and delivery.
• Partner with leadership to align engineering strategy with product objectives and technical roadmap.

What You Bring (Qualifications)

Required

• 9+ years of software engineering with deep backend and infrastructure focus.
• Strong programming skills in Python and/or Go — you ship production code, not just scripts and configs.
• Deep, hands-on Kubernetes experience — building and operating clusters, not just deploying to them.
• Proven experience designing and operating distributed systems in production.
• Cloud-native fluency across AWS and/or GCP — compute, storage, IAM, networking and managed services.
• Experience with infrastructure-as-code (Terraform or similar) and CI/CD pipelines.
• Familiarity with applied AI tooling and patterns — agentic AI tools (Claude, LiteLLM), AI gateways, agent frameworks — and being able to build backend services that integrate with them.
• Strong system design and architectural judgment.
• Clear communicator who partners well across product, security, and AI teams.

Preferred

• Observability stacks — Prometheus, Grafana, Datadog, OpenTelemetry.
• Multi-cloud or hybrid infrastructure experience (AWS, GCP, on-prem).
• Familiarity with API gateways, AI gateways, and policy/authorization frameworks (ABAC,
  OPA).
• Service mesh or platform-as-a-service design experience.
• Track record of improving engineering productivity at scale.

About the team & role:

• The Information Security organisation advances the overall state of security at Rubrik through critical initiatives and the coordination of large security projects. Information Security builds technologies, tools, and processes to better enable teams at Rubrik to develop secure software and protect data and systems with appropriate security controls. Information Security also develops systems to monitor and respond to attacks against our systems, provides awareness education to teams on security best practices for data protection, and ensures data sharing relationships with third parties in order to securely protect Rubrik information.

• We are seeking a Senior Security Engineer to bridge the gap between traditional Security Operations and modern Data Engineering. You will be responsible for the day-to-day health of our SIEM ecosystem while simultaneously contributing in transition toward a Security Data Lake architecture. This is a hands-on, high-impact role that leverages Programming, Cloud Warehouses and AI to defend a global multi-cloud footprint.

What you’ll do?

• SIEM Administration: Handle day-to-day operations of market-leading SIEM platforms (e.g., Splunk, Sentinel, or Chronicle). This includes log ingestion from a variety of sources like Network devices, 3rd party vendor APIs,  Cloud Services, Webhooks etc..  parsing/normalisation to a common schema, health monitoring checks,  User access management and Cost Monitoring.
• Security Data Lake Operationalisation: Develop and maintain the infrastructure/Platform that moves security telemetry from raw sources into Snowflake, BigQuery, or Databricks. Tune/Optimise Ingestion at Scale for cost efficiency and  Enable SOC team and Threat Detection team to leverage the Security Data lake for their Search and Analytics workloads. 
• AI & Agentic Automation: Proactively integrate AI tools and LLMs into daily workflows; develop AI agents to automate Tier 1/2 SecOps tasks like Incident Investigation and Response.
• Cross-Team Collaboration: Partner with global teams across time zones and manage Stakeholder communication.

Experience you'll need:

• Experience: 5+ years in Security Ops and Engineering, focusing on  Security Data management and Automation.
• SIEM and SOAR Mastery: Hands-on experience with at least one market-leading SIEM (Splunk, Microsoft Sentinel, Elastic) and SOAR platform (Palo Alto XSOAR, Splunk SOAR).
• Cloud Data Warehousing: Practical experience administering or developing within Snowflake, BigQuery, and/or Databricks. Prior experience in building/maintaining data platforms that can manage  50-100 TB/day data is a big plus.
• Programming: Strong proficiency in Python and Shell scripting.
• Data Engineering Knowledge: Understanding of Cloud warehouse and  Lakehouse concepts, Open Table formats and Search engines for a composable Security Data stack.
• Cloud Infrastructure: Solid experience in one major cloud (AWS/GCP/Azure); Multi-cloud familiarity is a major plus.
• AI Fluency: Demonstrated experience or strong inclination towards utilising various AI tools to significantly enhance effectiveness (force multiplier) and solve complex business problems, particularly within SecOps and GRC domains.
• Nice to have
  • Exposure to Cloud Logging frameworks and best practices for Security Telemetry ingestion.
  • Familiarity with container orchestration (Kubernetes/EKS/GKE).
  • Interest/experience in building AI-driven security workflows.
  • Knowledge of modern CI/CD patterns and DevOps security integrations.
  • Experience with Terraform or other IaC tools.

About the team 

The Information Security organization advances the overall state of security at Rubrik through purposeful initiatives and coordination of large security projects. Information Security builds technologies, tools, and processes to better enable teams at Rubrik to develop secure software and protect data and systems with appropriate security controls. Information Security also develops systems to monitor and respond to attacks against our systems, provides awareness education to teams on security best practices for data protection, and ensures data sharing relationships with third parties in order to securely protect Rubrik information.

About the role

The Staff Cloud Security Architect will serve as a critical subject matter expert, responsible for defining, designing, and implementing secure cloud architectures and solutions across our enterprise environments. As a key technical leader, you will collaborate with engineering and cross-functional teams across Rubrik to integrate security across all aspects of cloud deployment, operations, and management. Your strategic insights will help shape cloud security strategies, reference architectures, governance frameworks, and compliance requirements. Your deep technical expertise, ability to influence, build and establish best practices, and thought leadership will ensure the secure enablement of our cloud technologies across our hybrid and public cloud environments. This is a hands-on technical role, and you will be expected to rely on your extensive cloud expertise to make an immediate impact on existing and new initiatives.

What you'll do

• Define and implement cloud security architecture frameworks, principles, and guidelines to secure enterprise cloud environments and workloads.
• Collaborate with cross-functional teams to ensure security maturity initiatives are prioritized effectively and addressed in a timely and sustainable manner.
• Partner with cloud security architects, developers, and engineers to design scalable solutions addressing complex infrastructure-related security challenges.
• Design, build proof of concept, tools, and platforms to proactively address and resolve security issues at scale.
• Conduct architecture reviews, security assessments, threat modeling, and risk analysis of cloud-native services and infrastructure.
• Establish secure reference architectures, reusable cloud security patterns, standards, and best practices to ensure consistency in cloud deployments at scale.
• Lead efforts related to strategic planning and continuous improvement of cloud security capabilities, including public cloud native security products and third-party cloud security tools.
• Partner with incident response teams and SOC analysts to ensure effective processes and technology are in place to quickly detect, investigate, and mitigate cloud security incidents.

Experience you'll need

• Bachelor’s or Master’s degree in computer science, Information Technology, or related fields.
• 15+ Years of experience securing complex on-prem or cloud deployments with a minimum of 6+ years of dedicated experience in cloud security architecture and design, including significant experience across AWS, GCP, and/or Azure environments.
• Deep technical understanding of core cloud service models, including compute, network, and storage technologies on AWS, GCP, and/or Azure platforms.
• Proficiency in at least one programming language or scripting language such as Python, Go, or Java for automating and managing security tools and processes.
• Extensive working experience with containerized applications (Kubernetes, Docker), CI/CD pipelines, and microservices architectures.
• 5+ years of experience with IAC (Infrastructure as a Code) deployments for complex systems [Terraform, Ansible etc]
• Demonstrated expertise in articulating complex technical issues clearly to both security specialists and non-technical stakeholders.

Additional skills

• Effective communication skills, both written and verbal, with the ability to convey complex information clearly to technical and non-technical audiences.
• Strong analytical and problem-solving skills, with the ability to lead cross-functional collaborations and drive technical security initiatives.
• Ability to quickly learn, adapt, and lead in fast-paced and dynamic technical environments.

About the Role:

Production Engineer
The Production Engineer at Rubrik plays a critical role in operational excellence, managing alerts, responding to outages, and leading incident resolution as an Incident Manager. This role requires hands-on experience in maintaining highly available critical services across multi-cloud environments while driving continuous improvements through automation and intelligent monitoring.

What you’ll do:

• Join a 24/7 Production Operations team responsible for managing and supporting critical infrastructure and services in multi-cloud environments.
• Oversee staging and production environments to ensure maximum uptime and reliability.
• Implement and maintain comprehensive observability solutions for real-time monitoring, alerting, and metrics collection.
• Lead incident management efforts by swiftly responding to alerts and outages, coordinating teams to drive timely resolution.
• Analyze recurring incidents to identify root causes, reduce toil, and improve system resilience.
• Design and develop automation tools to proactively detect, triage, and remediate production issues.
• Maintain and update runbooks to support incident response and recurring issues.
• Demonstrate strong decision-making skills under pressure, effectively managing critical situations with urgency and composure.

Experience you’ll need:

• Solid understanding of distributed system concepts.
• Practical experience working with production systems and environments, preferably within public cloud infrastructures.
• Familiarity with container orchestration platforms, especially Kubernetes.
• Hands-on experience with infrastructure  management tools like CloudFormation and Terraform.
• Strong analytical and problem-solving skills  for diagnosing and resolving system and application issues.
• Proficient in data structures and algorithms, UNIX, networking, operating systems, and database systems such as MySQL.
• Proficient with Python programming skills.
• Excellent verbal and written communication skills.

Location: Bangalore, India
Work Shift: Rotation (24/7 coverage expected) 

ABOUT RUBRIK

Join Us in Securing the World's Data

Rubrik (NYSE: RBRK) is on a mission to secure the world’s data. With Zero Trust Data Security™, we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. We help organizations uphold data integrity, deliver data availability that withstands adverse conditions, continuously monitor data risks and threats, and restore businesses with their data when infrastructure is attacked.

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

About the Team & Role

The platform security team is responsible for building secure, scalable infrastructure and platform services that power Rubrik's enterprise data protection solutions. We are seeking talented software engineers who are passionate about cloud security, possess deep technical expertise in securing cloud infrastructure, and stay current with industry-leading security practices for cloud-native architectures.

As a Staff Software Engineer, you will design, develop, and maintain scalable and resilient frameworks and services for all cloud infrastructure supporting Rubrik products. This is an excellent opportunity for engineers who are passionate about cloud platform security and want to make a meaningful impact on how enterprise data protection operates in the cloud. You will get to work on cutting-edge cloud security infrastructure and frameworks that define the future of Rubrik's cloud platform roadmap. Along the way, you'll help solve problems such as:

• How to build extensible, secure frameworks for deploying cloud infrastructure?
• How to implement zero-trust networking principles in Kubernetes and cloud environments?
• How to build secure CI/CD pipelines and infrastructure-as-code with security guardrails?
• How to design secure service mesh architectures for microservices communication?
• How to implement secure secrets management and credential rotation at scale?
• How to build secure container orchestration with runtime security monitoring?

In addition to solving engineering problems like these, you will also collaborate with partner teams such as Product Management, SRE, DevOps, Infrastructure, and other engineering teams. We need our engineers to be versatile, display leadership qualities, and be enthusiastic to take on new problems across the cloud infrastructure stack as we continue to push technology forward. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance secure cloud platform solutions.

This is an excellent opportunity for those looking to build a secure cloud infrastructure from the ground up. The problem space is wide (covering the entire Rubrik cloud portfolio) and deep (from performant core infrastructure to secure service architectures), and has an exciting roadmap for the coming years with tangible business impact. You'll work alongside distinguished platform and security engineers who will mentor you as you grow your technical skills and cloud security domain knowledge.

What You'll Do:

Secure Cloud Platform Development:

• Collaborate with product managers, architects, SRE, and cross-functional teams to define security standards for cloud infrastructure, implement the frameworks, and drive the migration. 
• Take full ownership of projects from design to implementation, test and deployment of secure cloud infrastructure components
• Write clean, well-tested code in languages like Go, Python, or Scala for cloud infrastructure frameworks. 
• Implement security-first cloud platform features following established patterns and best practices
• Collaborate with senior engineers on secure system design and cloud architecture decisions.
• Triage platform security issues and debug/track/resolve them by analyzing the sources of issues and driving the resolution
• Demonstrate ownership and accountability for delivering secure, reliable platform services.
• Identify security vulnerabilities in cloud infrastructure and build solutions to harden platform services
• Create/Update highly effective documentation to enable other developers and platform teams

Cloud Security Architecture & Reviews:

• Review infrastructure-as-code, container configurations, and cloud architecture designs for security concerns
• Ensure secure cloud engineering standards are followed across the organization
• Contribute to cloud security guidelines and documentation for other engineering teams
• Evangelize secure cloud practices across all platform and engineering teams
• Perform threat modeling for cloud services and infrastructure components

Team Collaboration:

• Lead by example and demand high-quality, secure deliverables from others
• Work with Product Management and SRE to understand cloud platform security standards and requirements
• Collaborate with other engineering teams on integrations with secure frameworks for cloud infrastructure.
• Participate in team meetings, planning sessions, and knowledge sharing
• Coach and mentor junior team members for their professional growth in cloud security engineering

Learning & Growth Opportunities:

• Work closely with other staff and distinguished engineers who will mentor your development in cloud security
• Gain hands-on experience with cloud security services, container security, and infrastructure security
• Learn about cloud threat modeling and secure cloud architecture principles
• Participate in cloud security training and knowledge-sharing sessions
• Contribute to a positive, learning-focused team culture

What We're Looking For

Required Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience
• 10+ years of software development experience with a focus on cloud platforms and infrastructure
• Strong experience with cloud platforms (AWS, Azure, GCP), including security services and best practices
• Deep understanding of cloud security principles, container security, and infrastructure security
• Proficiency in infrastructure-as-code tools (e.g., Terraform)
• Experience with container orchestration platforms (Kubernetes, Docker) and their security models
• Strong programming skills in at least one language (Go, Python, Java, Rust, or similar)
• Experience with cloud-native security tools and practices (service mesh, zero-trust networking, secrets management)
• Understanding of networking security concepts (VPCs, security groups, network policies, TLS/mTLS)
• Experience with version control systems (Git) and collaborative development
• Passion for cloud security engineering - genuine interest in building secure cloud infrastructure
• Proactive mindset - takes initiative to learn new cloud technologies and solve complex infrastructure problems independently

Preferred Qualifications:

• Experience with service mesh technologies (Istio, Linkerd, Consul Connect)
• Hands-on experience with cloud security services (AWS IAM/KMS/GuardDuty, Azure Key Vault/Defender, GCP IAM/KMS)
• Experience with secure CI/CD pipelines and DevSecOps practices
• Familiarity with compliance frameworks (SOC2, FedRAMP, GDPR) and their cloud implementation
• Experience with monitoring and observability tools for cloud security (Prometheus, Grafana, cloud-native monitoring)
• Knowledge of cryptographic protocols and their implementation in cloud environments
• Experience with infrastructure security scanning and vulnerability management
• Understanding of microservices security patterns and API security
• Experience with cloud cost optimization and resource management

Why Join Us?

Perfect Growth Opportunity in Cloud Security Engineering

• Sharpen your cloud security skills by tackling challenging and real-world problems and collaborating with experienced mentors
• Work on meaningful projects that secure enterprise customers' critical data in the cloud
• Gain exposure to cutting-edge cloud security technologies and industry best practices
• Build a strong foundation for a career in cloud platform or security engineering
• Move your career forward with opportunities to specialize in cloud security and leading platform teams

Technical Learning Opportunities

• Hands-on experience with modern cloud security technologies and frameworks
• Exposure to large-scale distributed cloud systems and multi-cloud platforms
• Opportunity to contribute to open-source cloud security and platform projects
• Access to the latest cloud development tools and security research

What Makes a Great Candidate

• Loves to learn - excited about diving into new cloud technologies and security concepts
• Takes initiative - doesn't wait to be told what to do, asks questions, and seeks out learning opportunities in cloud security
• Thinks systematically - can analyze complex cloud infrastructure problems and think through potential security implications
• Collaborates well - enjoys working with others and learning from teammates across platforms and security domains
• Pays attention to detail - understands that small details matter in cloud security and infrastructure reliability
• Is passionate about cloud security - genuinely interested in building secure cloud infrastructure and protecting customer data

Senior Software Engineer:

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

What you’ll do:

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

What you bring:

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

Nice to have:

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

#LI-PM1

#LI-Hybrid

As a Network Engineer II, you’ll play a key role in designing, implementing, and managing advanced network solutions, ensuring seamless connectivity and robust security across our hybrid network infrastructure. We’re looking for a rockstar—a doer who thrives on challenges and delivers results! You’ll work hands-on with cutting-edge technologies like Cisco Meraki, Palo Alto Firewalls, and Zscaler, while also supporting critical maintenance and on-call activities.

Responsibilities:

• Design, configure, and deploy LAN, WAN, and WLAN networks to meet business objectives.
• Implement and manage network security solutions with a focus on Cisco Meraki, Palo Alto Firewalls, and Zscaler.
• Maintain detailed documentation of network configurations, topologies, and processes.
• Proactively monitor network performance and ensure high availability using advanced tools.
• Identify, diagnose, and resolve complex network issues efficiently.
• Perform capacity planning to ensure the network scales with business growth.
• Manage SSL certificates and ensure secure network communications.
• Collaborate with the security team to mitigate network vulnerabilities.
• Maintain compliance with industry standards and best practices.
• Participate in network-related projects, including upgrades, expansions, and migrations.
• Support VoIP implementations and AWS/GCP network integrations when required.
• Evaluate and recommend new networking technologies and tools.
• Participate in on-call rotations and off-hours maintenance every 3 months to ensure network reliability and uptime.
• Perform scheduled maintenance activities during off-hours to minimize business impact.
•  Experience with Terraform to provision and manage network infrastructure (VPCs, subnets, routing, security groups), including building reusable modules and integrating with CI/CD pipelines.
• Experience managing infrastructure across Amazon Web Services, Microsoft Azure, or Google Cloud Platform, with strong understanding of state management, remote backends, and version control (Git).

Qualifications:

• CCNA or equivalent certifications- a must
• 2-5 years of hands-on experience in network engineering- a must
• Proficiency in Cisco Meraki, Palo Alto Firewalls, and Zscaler- a must
• Familiarity with SSL certificate management and implementation.
• Experience with VoIP technologies and troubleshooting.
• Exposure to Terraform, AWS and GCP networking.
• Basic understanding of domain management.

Preferred Skills:

• Strong knowledge of networking concepts such as VLANs, VPNs, and routing protocols.
• Proficient in using network monitoring tools like Datadog, Solarwinds, and Wireshark.
• Excellent problem-solving skills and ability to thrive in a fast-paced environment.
• Strong communication and collaboration skills.
• Experience automating network configurations alongside Terraform using tools like Ansible.

Knowledge of networking concepts in cloud environments (routing, NAT, VPNs, load balancing).

#LI-SG2

#LI-Hybrid

Who we are.

Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.

Let's talk about the cool stuff you do at Axi!

We are seeking a skilled DevOps Engineer to design, deliver, and support optimized, secure cloud solutions across development and production environments. This role works across multiple product delivery teams, promoting DevOps best practices and ensuring a consistent, high-quality approach to software delivery and infrastructure management.

You will play a key role in driving automation, improving deployment processes, and embedding operational excellence into all technology solutions.

Your EDGE assignment/You will:

• Act as a core member of the DevOps function, contributing to a center of excellence in DevOps methodologies
• Design, implement, and maintain secure, scalable cloud-based solutions
• Promote and enable automation and self-service capabilities across development teams
• Ensure compliance with well-architected frameworks and embed non-functional requirements (security, performance, scalability) by design
• Collaborate with engineering teams to integrate operational requirements into design, build, and deployment phases
• Provide Level 2/3 support, identifying root causes and implementing permanent fixes to prevent recurring incidents
• Implement, configure, and maintain cloud infrastructure and associated technology platforms
• Develop and enhance CI/CD pipelines to enable efficient, reliable deployments (including one-click deployments, rollbacks, and parameterized builds)
• Monitor system performance and proactively identify areas for improvement
• Troubleshoot and resolve complex technical issues across environments
• Work closely with software developers to ensure adherence to best practices, standards, and processes

Are you the one?

Technical Skills

• Strong experience with cloud platforms (e.g., AWS, Azure, or GCP)
• Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI, Azure DevOps)
• Proficiency in infrastructure as code (e.g., Terraform, CloudFormation, ARM templates)
• Experience with containerization and orchestration (e.g., Docker, Kubernetes)
• Solid understanding of system monitoring, logging, and alerting tools
• Experience with scripting languages (e.g., Python, Bash, PowerShell)
• Knowledge of networking, security principles, and cloud architecture best practices

DevOps & Engineering Practices

• Strong understanding of DevOps principles and Agile methodologies
• Experience implementing automation and self-service solutions
• Familiarity with well-architected frameworks and non-functional requirements
• Experience supporting production systems and handling incident management

Soft Skills

• Strong problem-solving and analytical skills
• Excellent collaboration and communication abilities
• Ability to work across multiple teams and manage competing priorities
• Proactive mindset with a focus on continuous improvement

Desirable Skills

• Experience with microservices architecture
• Knowledge of security and compliance standards
• Experience working in large-scale or enterprise environments
• Exposure to Site Reliability Engineering (SRE) practices

Axi's bag of delights

• Competitive and attractive compensation.
• Extensive learning opportunities, such as professional training and certifications and soft skills development.
• 18 annual leave days per year.
• 12 sick days leave per year.
• Public holidays as declared by local government.
• Maternity leave as per law.
• Health Insurance. 

Axi's interview journey

• Talent Acquisition Interview   (45 minutes)
• Hiring Manager Interview (60 minutes)
• Final Interview (60 minutes)

Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment of any fees related to the recruitment of the candidate represented in the unsolicited resume.

At Axi, we prioritize creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.

Senior DevOps Engineer

The Challenge

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

Your Mission

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

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

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

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

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

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

You Are

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

Your Experience Includes

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

• 4+ years of professional experience

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

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

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

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

• Understanding of Container and DevOps technologies

Extra Awesome

• Previous DevOps experience

• Experience working with in an agile B2B enterprise environment

• Experience working with distributed teams across geos

                                                                                                                                                                  Date: May 5, 2026

About Netradyne:

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

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

For more details visit: www.netradyne.com

Job Overview: We are looking to expand our DevOps team. This team is responsible for writing scripts to set up infrastructure to support 24*7 availability of the Netradyne services. The team is also responsible for setting up monitoring and alerting, to troubleshoot any issues reported in multiple environments. The team is responsible for triaging of production issues and providing appropriate and timely response to customers.

​

Key Responsibilities:​

• B Tech/M Tech/MS in Computer Science or a related field from a reputed university.
• Total industry experience of around 4–7 years.
• Programming experience in Python, Ruby, Perl or equivalent is a must.
• Good knowledge and experience of configuration management tool (like Ansible, etc.)
• Good knowledge and experience of provisioning tools (like Terraform, etc.)
• Good knowledge and experience with AWS.
• Experience with setting up CI/CD pipelines.
• Experience, in individual capacity, managing multiple live SaaS applications with high volume, high load, low-latency and high availability (24x7).
• Experience setting up web servers like apache, application servers like Tomcat/Websphere and databases (RDBMS and NoSQL).
• Good knowledge of UNIX (Linux) administration tools.
• Good knowledge of security best practices and knowledge of relevant tools (Firewalls, VPN) etc.
• Good knowledge of networking concepts and UNIX administration tools.
• Ability to troubleshoot issues quickly is required.

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

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

Contact Information: For inquiries, please contact Recruiter at recruiter@netradyne.com.​​

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

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

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

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

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

WE SHOULD TALK IF THIS SOUNDS LIKE YOU 

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

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

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

Job Description: Site Reliability Engineer (Platform Engineer) Mid Level (L2) 

Location: India (Remote- Bangalore)

Overview:

We are seeking a Mid-Level Site Reliability Engineer (SRE) to join our global Platform Engineering team. As an SRE, your primary responsibility is to ensure that our platform is reliable, scalable, and performant. You’ll be the bridge between development and operations — designing automation, improving observability, and maintaining the health of our production systems. You should have what it takes to ask the right questions, identify potential risks early, and raise flags when necessary to maintain a culture of reliability and continuous improvement.

You will: 

• Collaborate closely with Developers, QA, and Product teams during sprint planning to understand release plans, dependencies, and infrastructure requirements.
• Participate in the application release cycle, ensuring deployments are automated, consistent, and reliable.
• Manage and operate Kubernetes clusters in Google Kubernetes Engine (GKE) and Amazon Elastic Kubernetes Service (EKS).
• Develop and manage Terraform modules for provisioning and configuring cloud infrastructure across GCP and AWS.
• Standardize service deployments using Helm for templating and versioned releases.
• Build and enhance observability with Prometheus, Grafana, and Datadog to monitor application and platform performance.
• Design, implement, and maintain GitLab CI/CD pipelines for build, test, and deployment automation.
• Drive an automation-first culture by developing scripts and tooling in Python, Go, or Shell to minimize manual effort and improve efficiency.
• Participate in a 24/7 on-call rotation, ensuring quick detection, mitigation, and resolution of incidents.
• Perform root cause analysis (RCA) and contribute to post-incident reviews to prevent recurrence.
• Proactively identify reliability or scalability gaps, raise early warnings, and partner with teams to address systemic risks.

You have: 

• 5-8 years of experience as a Site Reliability Engineer, Platform Engineer, or DevOps Engineer.
• Hands-on experience managing Kubernetes clusters (GKE, EKS) in GCP and AWS.
• Strong knowledge of Terraform, Helm, and GitLab CI/CD pipelines.
• Proficiency in Python, Go, or Shell scripting for automation and tooling.
• Experience implementing and managing observability stacks (Prometheus, Grafana, Datadog).
• Deep understanding of Linux systems, cloud networking, and container orchestration concepts.
• Experience working in Agile/Scrum environments and partnering closely with developers.
• Excellent analytical skills with a proactive attitude — able to question assumptions and escalate potential risks early.

Good to Have

• Experience with ArgoCD or Flux (GitOps-based workflows).
• Familiarity with service mesh (Istio, Linkerd) or API gateways.
• Knowledge of cloud cost optimization, autoscaling, or security best practices.
• Experience with incident management tools such as PagerDuty, ServiceNOW

Why Join Us

• Build and operate modern cloud-native platforms using Kubernetes, Terraform, GitLab, Datadog, and Grafana.
• Be part of a global SRE team that values automation, reliability, and innovation.
• Work in a collaborative culture that encourages ownership, learning, and continuous improvement.
• Enjoy flexible working arrangements, competitive compensation, and career growth opportunities including certifications and mentorship.

Why you’ll love working here: 

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

• Benefits: 15 Days PTO + Casual & Sick Leave
• Insurance: 8 Lakhs Family Floater Coverage; Personal Accident & Life Insurance: 3x of Gross Annual Salary*

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information.  This phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address.

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

Brief about the role:

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

Experience         : 8 – 12 Years

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

Work Mode        : Hybrid (3 days WFO)

Required Key Qualifications & Tech skills:

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

Key Responsibilities:

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

What We Offer:

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

Purpose of the Job :

As members of 6sense’s Security department, the Security Engineering team protects the platform across application, infrastructure, and cloud domains. The Vulnerability Operations function ensures that vulnerabilities are identified, triaged, validated, and remediated in a consistent, timely, and risk‑based manner. Senior Security Engineers work closely with Engineering, CloudOps, Product, and GRC teams to operationalize vulnerability management processes, build automation, standardize workflows, and ensure secure-by-default practices. 

Responsibilities & Accountabilities :

• Ensure vulnerability management tools (e.g., Wiz, Invicti, Rapid7, GHAS, Ox) are correctly configured for appropriate coverage and accurate detection. 
• Perform hands-on triage, validation, and root cause analysis of vulnerabilities across AppSec, InfraSec, and CloudSec. 
• Track and report vulnerability status against SLAs, escalating to engineering owners as needed. 
• Build and maintain dashboards, filters, reports, and triage scripts to support visibility and automation. 
• Assist engineering teams in reproducing and remediating vulnerabilities, providing actionable guidance. 
• Support the bug bounty program operations (not ownership), including validation and coordination with engineering teams. 
• Conduct security reviews and threat modeling for high-risk systems or changes. 
• Participate in initiatives that holistically address systemic or multi‑domain vulnerabilities. 
• Contribute to development of automated security testing pipelines for validation of fixes. 
• Participate in on-call or off‑hours incident response related to critical vulnerabilities and time‑sensitive patches. 
• Contribute to quarterly OKRs and security engineering roadmap initiatives. 

Performance Measurement :

• Understands 6sense’s product, architecture, cloud footprint, and environment in depth. 
• Takes ownership of vulnerability triage and prioritization while escalating where required. 
• Proactively identifies and escalates AI/ML‑related vulnerabilities or misconfigurations in systems integrating LLMs or automated decisioning. 
• Meets tight deadlines and SLAs for vulnerability response and validation. 
• Maintains accurate and up-to-date triage scripts, documentation, dashboards, and workflows. 
• Participates in weekly 1:1s and skip levels; provides clear progress updates. 
• Supports security engineers and development teams with accurate, actionable analysis. 
• Effectively participates in incident response and post‑incident remediation. 

Educational and Experience Requirements :

• 5+ years of experience in security engineering across vulnerability management, AppSec, CloudSec, or InfraSec. 
• Experience with vulnerability tools (e.g., Wiz, Rapid7, Invicti, GHAS, SAST/DAST) and triage workflows. 
• Understanding of cloud security (AWS preferred) and modern microservices architectures. 
• Experience identifying and mitigating AI/ML‑related security risks, including model abuse, prompt‑injection vulnerabilities, and risks introduced by LLM‑based features. 
• Experience with scripting/automation (Python, Bash, JavaScript, etc.). 
• Experience working directly with engineering teams to address vulnerabilities. 
• Familiarity with frameworks such as OWASP, NIST, CIS Benchmarks, MITRE ATT&CK. 
• Experience with IaC security (Terraform, CloudFormation, Pulumi) preferred but not required. 

Preferred Qualifications :

• Bachelor's degree in a related field 
• Relevant industry certifications, such as AWS, CNCF, and GIAC are highly desirable 

Competencies and Behaviors :

• Establishes strong credibility with engineering partners. 
• Maintains a professional, outcome-focused demeanor. 
• Advocates for vulnerability and security best practices. 
• Works independently on complex triage and analysis tasks. 
• Manages competing priorities effectively, escalating when appropriate. 
• Communicates clearly across technical and non-technical audiences. 
• Maintains accuracy, attention to detail, and documentation hygiene. 

Why this role matters:

As a Staff Platform/SRE Engineer, you are a key technical leader for our India-based engineering team, acting as a bridge between high-level architectural vision and world-class execution. Working closely with Senior Management and the Global Architecture team, you will help shape Vonage’s engineering culture. You will drive the implementation of our long-term technical roadmap for our Cloud-Native Kubernetes platform, ensuring our global production APIs remain resilient, cost-efficient, and secure. Your mission is to eliminate systemic friction through software engineering, ensuring a seamless experience for hundreds of developers interacting with the cloud.

Your key responsibilities:

• Collaborative Technical Leadership: Work in partnership with the architecture team to scope, size, and execute large-scale initiatives. You serve as a primary technical authority and escalation point for the team in India.
• Predictive Problem Solving: Use deep systems knowledge to foresee architectural bottlenecks. You proactively design solutions for future scale, ensuring the platform stays ahead of business demands.
• Mentorship & Multiplier: Act as a lead mentor for junior and senior engineers. You provide the guidance needed to raise the engineering bar, fostering a culture of technical excellence and self-sufficiency.
• Infrastructure as Code (IaC) Culture: Drive the evolution of our IaC practices using tools like Terraform and Crossplane, moving the organization toward a Kubernetes-native management style.
• Reliability & Systems Debugging: Respond effectively to service failures by diving into AWS/EKS, Linux, and ArgoCD. Lead the team in performing thorough, blame-free Root Cause Analysis (RCA).
• CI/CD Modernization: Support the transition from legacy systems to modern automation. While expertise in GitHub Actions and enterprise-grade workflows is highly valued, your primary goal is ensuring a robust and automated deployment pipeline.

What you'll bring

• Experience: 12+ years of progressive experience in software engineering, systems design, and cloud architecture.
• AWS & Kubernetes Excellence: Expert-level experience managing massive, high-traffic, multi-tenant Kubernetes environments specifically on AWS (EKS).
• Cloud-Native Proficiency: Deep understanding of the AWS ecosystem, including networking, storage, and security layers.
• Observability Architecture: Experience implementing and managing observability stacks using tools like Prometheus, Grafana, VictoriaMetrics, or Thanos.
• FinOps & Efficiency: A proven track record of optimizing cluster topologies to balance performance with cost-efficiency goals.
• Treats AI assisted engineering as a core part of modern software practice, leveraging AI tools to enhance design, coding, testing, troubleshooting, and documentation, while guiding the team in adopting effective patterns and evolving best practices for AI enabled ways of working

What's required for application

• CI/CD Transformation: Experience migrating from Jenkins to GitHub Actions (custom actions, API integration, and self-hosted runners).
• Coding & Automation: Proficiency in Go (preferred) or Python to build integrated bot solutions and automation tools.
• Governance: Experience managing Harbor or Artifactory lifecycles.

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.

Job Title: Manager, Software Engineer

Locations: Bangalore

Reports to: VP, AI Engineering

 A quick snapshot…

Conga is looking to hire a Manager, Software Engineering to join our extremely talented AI Engineering team. As an Engineering Manager at Conga, you’ll lead a team of software engineers working on our next generation AI Solutions. This team will be responsible for building statistical and machine learning models that support product features across the company. You’ll get to work directly with other Engineering Managers, Architects, Data Scientists, Product Managers, and Directors, all of whom make up the larger team. In this highly collaborative environment, you will have the opportunity to grow as a leader and help mentor others.

This position requires experience leading software engineering initiatives, knowledge of AI/ML solutions, as well as excellent people and time management skills. This role will be reporting to the VP of AI Engineering and will be a key engineering leader inside the Conga AI Pillar. The role requires you to collaborate with other leaders at Conga and guide your team to deliver high quality software solutions in a timely manner. The ideal candidate for this position is passionate about people, process, technology, and delivering customer values.

Conga works in an agile environment where there are daily stand-ups, code reviews, and constant communication within each self-managed cross-functional team. The ability to communicate effectively with other Engineering and Product leaders, as well as work closely with other your team members are key components for success in this position.

Why it’s a big deal…  

8+ or more years of experience in the Software Engineering industry with a record of increasing responsibility leading software development initiatives, and 3+ years managing teams.

Deep understanding of the Software Development Lifecycle (SDLC) and Machine Learning Lifecycle (MLL).

Lead and drive the strategy, vision and roadmap for building robust, scalable AI/ML foundations and platforms — including but not limited to:

•  Feature stores
• Distributed ML model training
• Model versioning and evaluation
• Monitoring, drift detection, and automated retraining pipelines
• Responsible AI, model explainability, and fairness assessments

Experience with productionizing ML models and integrating them into real-time and batch applications. Work closely with data science partners and domain engineering teams to understand AI/ML use cases and build corresponding foundations for personalization, NLP, forecasting, recommendations, and generative AI.

Experience using a popular programming language such as: Python (preferred), Java, C#, Scala, etc.

Solid understanding of modern software development practices including object-oriented programming, concurrency, design patterns, microservices architecture, RESTful API design, and test-driven development.

Experience with software testing concepts and tools: white/black box testing, coverage analysis, mocking, PyTest/xUnit, Selenium, etc.

Hands-on experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and Vertex AI — or equivalent services in AWS and/or Azure.

Familiarity with ML frameworks and tools such as TensorFlow, PyTorch, MLflow, scikit-learn, HuggingFace Transformers, etc.

Strong experience with Infrastructure-as-Code and CI/CD tools used to automate deployment to cloud platforms: Terraform, GitHub Actions, Concourse, Ansible, etc.

Excellent leadership, decision-making, and communication skills, with the ability to translate business needs into engineering outcomes.

Experience with AI product lifecycle management, including experimentation tracking, model governance, and release management.

Experience with Python is ideal; Java/Spring is a strong plus.

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

Are you the person we’re looking for?  

Provide engineering leadership and mentorship to a team of software engineers.

Be a strong engineering leader responsible for executing the Conga AI roadmap using agile practice.

Experience implementing scalable data and AI/ML solutions in a product-driven technology environment.

Manage, lead, and motivate cross-functional, interdisciplinary teams of software engineers to achieve strategic and tactical business outcomes.

Mentor and grow engineers in your team, fostering a culture of teamwork, accountability, and continuous improvement.

Demonstrated ability to skillfully hire, coach, and performance manage a team of technology professionals.

Partner with others at Conga to ensure engineering tasks are understood, broken down, and implemented to the highest of quality standards.

Collaborate with members of the team to solve challenging engineering tasks on time and with high quality.

Encourage skill growth of your team members.

Assist and adhere to enforcement of project deadlines and schedules.

Actively communicate with team members to clarify requirements and overcome obstacles to meet the team goals.

Highly technical, confident at the operational management level and comfortable in an engineering-heavy organization.

Track record of being a strong leader, with the ability to influence across teams and levels.

Work with development teams in an agile context as it relates to software development.

Here’s what will give you an edge…

Provide architectural guidance and technical oversight for AI/ML systems, ensuring solutions are scalable, secure, and production ready.

Drive engineering excellence by championing robust design, peer reviews, and efficient CI/CD practices tailored for AI systems.

Foster strong cross-functional partnerships with Product, Data Science, ML-Ops, and DevOps teams to accelerate delivery and innovation.

Travel Requirement

Limited travel to other company offices upon request

#LI-UB1

We are looking for a Senior Software Engineer, Reliability, you will serve as a hands-on technical leader within the SRE team, guiding senior engineers, influencing product development teams, and ensuring the systems we operate are built to be reliable, scalable, and observable from the ground up.

You will drive strategic initiatives, mentor others in the practice of SRE, and help define architectural best practices across our platform. This role is pivotal in aligning teams, enforcing high standards, and scaling SRE principles globally within Veeam.

Yours tasks will include

Reliability Engineering & Resilience

• Design and evolve infrastructure to be highly available, fault tolerant, and scalable across public clouds (initially Azure, with future expansion plans to other providers).

• Establish and maintain SLIs, SLOs, and error budgets that define and enforce reliability objectives.

• Lead incident response, analysis, blameless postmortems, and sharing sessions in order to maximize learning across our entire engineering team and driving changes to the entire socio-technical engineering system.

Observability & Operational Excellence

• Drive adoption of deep observability practices, ensuring telemetry, logs, metrics, and tracing are comprehensive and actionable.

• Develop automation and self-healing tools to reduce toil and support Veeam’s fleet management strategy.

• Participate in on-call rotations and lead operational excellence across the stack.

Engineering at Scale

• Contribute to infrastructure as code (IaC), CI/CD systems, deployment automation, and scalable config management.

• Integrate and extend monitoring and chaos engineering tools to validate reliability assumptions under load and failure conditions.

• Implement testing strategies, canary deployments, and release validation pipelines to protect production environments and allow teams to safely deliver new features as quickly as possible.

Collaboration & Culture

• Embed within product and platform teams to champion reliability from design through delivery.

• Contribute to a learning culture focused on continuous improvement and proactive risk management.

• Mentor engineers and advocate for DevOps/SRE best practices across global teams.

What we expect from you:

• 5+ years of hands-on experience in a Software Engineering role with at least 2 years in Site Reliability, Platform Engineering, or similar.

• Deep experience building systems on public cloud providers (Azure preferred)

• Strong programming skills in JS, Node, Typescript, Go, Java, C#, or similar.

• Proven track record in delivering monitoring, alerting, and observability tooling (e.g., Prometheus, Grafana, OpenTelemetry).

• Experience with IaC tools like Terraform/Pulumi, and container orchestration (e.g., Kubernetes).

• Solid understanding of distributed systems, cloud networking, and cloud-native system design.

• Excellent communication and collaboration skills across geographies and disciplines.

Will be an added advantage:

• Experience working on large-scale B2B SaaS platforms.

• Background in chaos engineering, resilience testing, performance testing, load testing, or incident learning programs.

• Familiarity with compliance frameworks (e.g., ISO, SOC 2, GDPR, FEDRAMP/CMMC).

We offer:

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
  Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.

#LI-KP1
#Hybrid

About the Role

We are looking for a Staff Site Reliability Engineer, you will serve as a hands-on technical leader within the SRE team, guiding senior engineers, influencing product development teams, and ensuring the systems we operate are built to be reliable, scalable, and observable from the ground up.

You will drive strategic initiatives, mentor others in the practice of SRE, and help define architectural best practices across our platform. This role is pivotal in aligning teams, enforcing high standards, and scaling SRE principles globally within Veeam.

What You’ll Do

Reliability Engineering & Resilience:

• Act as a technical authority in your area, mentoring senior engineers and guiding design choices that improve service reliability and resilience
• Lead the definition and enforcement of SLIs, SLOs, and error budgets; drive adherence across engineering teams
• Collaborate with Staff peers across teams to align strategy and champion shared reliability standards and goals
• Partner with development and product teams to proactively design for failure, build resilient architecture, and operationalize reliability from the start

Observability & Operational Excellence:

• Drive company-wide adoption of observability best practices and tooling
• Ensure metrics, logs, and traces provide deep, actionable insights across systems
• Lead complex incident responses, postmortems, and systemic reliability improvements
• Promote and enforce a blameless culture of learning and continuous improvement

Engineering at Scale:

• Lead initiatives in infrastructure as code, deployment automation, and resilience testing
• Influence the development and adoption of chaos engineering practices and release validation frameworks
• Partner with platform and security teams to ensure production readiness

Collaboration & Culture:

• Work closely with your peer Staff Engineers to plan, align, and deliver against reliability goals
• Provide architectural guidance and advocate for engineering rigor and consistency
• Represent the SRE team in technical leadership forums and product planning discussions

What You’ll Bring

• 8+ years of experience in a Software Engineering or SRE role, including technical leadership
• Demonstrated experience mentoring and guiding senior engineers
• Deep expertise in building distributed systems on public cloud (Azure preferred)
• Strong skills in programming (e.g., JS, Go, Typescript, Java, or C#)
• Hands-on experience with observability tooling (e.g., Prometheus, Grafana, OpenTelemetry)
• Mastery of infrastructure automation tools (Terraform, Pulumi) and container orchestration (Kubernetes)
• Ability to communicate clearly across geographies and disciplines

Bonus Skills

• Experience leading SRE initiatives across multiple product teams
• Background in chaos engineering, incident learning, or performance and load testing
• Familiarity with global compliance standards (ISO, SOC 2, GDPR, FedRAMP, CMMC)

What You’ll Get

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.

#LI-IU

Opportunity

Get Well is seeking an experienced and highly motivated Staff Data Software Engineer to help build and optimize our cloud-native data platform that powers AI, analytics, and clinical applications. You will play a key role in developing scalable, compliant data infrastructure and pipelines designed specifically for the healthcare domain, while mentoring junior engineers and leading cross-functional initiatives to drive innovation.

This is a hands-on engineering role suitable for someone who thrives at the intersection of modern data engineering, cloud-native platforms, DevOps, healthcare data, and AI enablement.  Candidates must have hands-on software development experience with at least one healthcare company—preferably in the provider space—with exposure to EHRs and core healthcare data domains.

Responsibilities

Data Engineering & Platform Development

• Design, build, and maintain scalable data pipelines supporting batch and real-time use cases.
• Develop and maintain production-grade data workflows that move and transform sensitive healthcare data across distributed systems at scale.
• Work with Spark, Databricks, Airflow/Temporal, and dbt to ingest, process, and manage structured and unstructured data.
• Design and implement reusable, efficient data models for analytics and AI/ML use cases.
• Ensure platform resiliency using CI/CD pipelines, observability tools, and logging frameworks.
• Leverage Infrastructure as Code practices using Terraform, CloudFormation, or equivalent to manage cloud resources.

Healthcare Data Integration & Compliance

• Ingest and normalize complex healthcare data sets (FHIR, HL7, CCDA, Claims, EDI, Epic/Clarity, etc.).
• Familiarity with clinical coding systems and ontologies, such as ICD-10, SNOMED CT, LOINC, or RxNorm.
• Collaborate with compliance and security teams to ensure adherence to HIPAA, GDPR, and internal controls.
• Implement fine-grained access control, encryption at rest and in transit, audit logging, and data lineage strategies.

AI & GenAI Enablement

• Work alongside AI/ML and data science teams to build pipelines feeding predictive and generative models.
• Tune data infrastructure for performance across distributed systems and hybrid data stores like SQL, MongoDB, ClickHouse.
• Prioritize scalability and flexibility in designing LLM-compatible pipelines and use GenAI best practices for healthcare use cases.
• Utilize Spark clusters and query frameworks such as SparkSQL and SPARQL for large-scale data access.
• Utilize and manage graph databases (e.g., Neo4j, Amazon Neptune, or similar) to support complex relationship modeling and healthcare data connectivity use cases.
• Enable high-quality training data pipelines and implement feature stores and model serving systems.

Data Governance, Quality & Monitoring

• Implement data quality frameworks and establish robust validation processes using tools such as Great Expectations or equivalent.
• Build automated anomaly detection tools for data drift and integrity checks.
• Support data cataloging, metadata management, and ensure consistent documentation across datasets.

Collaboration, Mentorship & Leadership

• Act as a mentor to junior engineers through code reviews, paired programming, and technical guidance.
• Lead cross-functional projects with teams including clinical informatics, architecture, security, product, and design.
• Contribute to and enforce data engineering best practices, patterns, and platform standardization.

Learning and Innovation

• Research and evaluate emerging tools and frameworks (e.g., Apache Iceberg, Delta Lake) for incorporation into the platform.
• Proactively identify opportunities to improve architecture and leverage evolving trends in GenAI and cloud-native computing.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 8–12 years of experience in software or data engineering roles including at least 3 years working with large-scale or cloud-native data systems.
• Must have prior software development experience in the healthcare domain—including payers, providers, health tech, medical devices, or life sciences.
• Functional knowledge and direct experience with healthcare data types (FHIR, HL7, Claims, EDI, Epic/Clarity, etc.).
• Demonstrated experience in designing, implementing, and maintaining data pipelines that move and transform healthcare data with production-level quality, reliability, and performance.

Technical Skills

• Advanced programming experience in Python, SQL, and distributed processing with Apache Spark.
• Cloud-native platform experience with Azure.
• Proven capability with Infrastructure as Code (Terraform, CloudFormation) strongly preferred.
• Experience with data warehouses and lakes including Snowflake, Databricks, and ClickHouse.
• Familiarity working with GenAI tools and ML pipelines in production environments.
• Strong skills in data modeling, job orchestration (Airflow), data transformation (dbt), and pipeline optimization.
• Experience with DevOps/tooling stacks for CI/CD, containerization, observability, and cost optimization.
• Familiarity with data validation and anomaly detection tools such as Great Expectations.
• Experience with SparkSQL and SPARQL is a plus.

Professional Attributes

• Excellent communication and collaboration skills across cross-functional, domain, and technical stakeholders.
• Ability to lead initiatives and drive data engineering standards.
• Self-driven, with a commitment to delivering high-quality solutions in regulated and sensitive environments.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  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.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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