About the role

As an SRE on the Datapath Inline quality engineering team you will have an opportunity to work on world-class SWG solutions. As part of the Inline quality engineering team, you would be required to test, qualify and automate our inline SWG solutions for Email security. You will collaborate with backend service teams to ensure the overall quality, reliability, scalability and performance of the Netskope products. You will work on both the frontend as well as the web application backend. At Netskope, we are looking for innovative, passionate and self motivated engineers like you, who are willing to make an impact with their technical expertise.

What’s in it for you

Netskope’s NG-SWG is a cloud-native solution for protecting enterprises from the growing volume of sophisticated cloud enabled threats and data risks, and has been recognized by Gartner as a market leader in their Magic Quadrant reports. As a member of this team, you will play a key role in the  design, development and delivery of frameworks and automation to test our API backend in a CI/CD environment. 

Required Skills

• 8+ years of experience in a similar role
• Prior experience provisioning Ubuntu based hosts with Ansible
• Strong Git fundamentals, handling multiple workflows across multiple release branches
• Hands on experience with Jenkins 
• Solid understanding of Linux systems, package installation and uninstallation workflows,
• Excellent expertise with python and Linux scripting skills
• Experience with artifact management solutions such as artifactory

Preferred Skills

• Knowledge of other provisioning and configuration management systems, such as Salt
• Experience with multiple CI / CD orchestration tools, like drone, Github Actions etc
• Familiarity with building and packaging tool chains
• Proficient with secrets management tools such as Vault, SSM etc

What you will be doing

• Responsible for deployment of multiple services across 1800+ hosts spread among over 100 points of presence across the world
• Collaborate with QE and other internal teams to help ensure stability and avoid regressions in non production environment
• Co-ordinate with QE and PMs to plan, schedule and execute deployments
• Work with on call engineers to identify issues on time and propose roll back solutions if required
• Launch automation initiatives to streamline and optimize deployment workflows.

Education

• BSCS or equivalent required, MSCS or equivalent strongly preferred

#LI-DB1

Why Verifone

For more than 30 years Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone has one of the leading electronic payment solutions brands and is one of the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic and fast paced work environment in which employees are focused on results and have opportunities to excel. We take pride in the fact that we work with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payments solution around the world. We strive for excellence in our products and services and are obsessed with customer happiness. Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next platform of secure payment systems or searching for new ways to bring electronic payments to new markets, the team at Verifone is dedicated to the success of our customers, partners and investors. It is this passion for innovation that drives each one of our employees for personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located

About the Role

We are looking for an experienced QA Engineer with a strong background in test automation and fintech systems. The ideal candidate will play a key role in ensuring the quality, reliability, and security of mission-critical financial applications.

Key Responsibilities

• Design, develop, and maintain automated test frameworks for web and API applications
• Perform functional, regression, integration, and system testing
• Collaborate closely with developers, product managers, and DevOps teams
• Validate data accuracy, transaction flows, and business rules in financial systems
• Execute API testing and backend validation
• Integrate automated tests into CI/CD pipelines
• Identify, document, and track defects through resolution
• Ensure compliance with quality standards and fintech regulations 

Required Skills & Experience

• 5+ years of experience in Quality Assurance
• Strong experience in test automation (Selenium / Cypress / Playwright / Appium)
• Proficiency in at least one programming language (Java, Python, JavaScript)
• Experience testing fintech applications (banking, payments, trading, lending, etc.)
• Hands-on experience with API testing (Postman, RestAssured, etc.)
• Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions)
• Strong understanding of SDLC and Agile methodologies
• Excellent analytical and problem-solving skills

Nice to Have

• Experience with performance testing (JMeter)
• Knowledge of security testing and compliance standards (PCI-DSS, SOC2)
• Experience with cloud platforms (AWS, Azure, GCP)
• Exposure to microservices architecture

Why Join Us

• Work on cutting-edge fintech products
• High ownership and impact role
• Collaborative and growth-oriented environment

Our commitment

Verifone is committed to creating a diverse environment and 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. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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.

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

Responsibilities

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

 Minimum Qualification

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

 Key attributes critical to success:

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

Preferred Qualification

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

Bonus Points:

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

As a Software Engineer 4, you will help implement complex and innovative solutions, and coach more junior engineers as we maintain and evolve our industry-leading application security platform. Join us and be part of a team that’s pushing the boundaries of web application development with agile practices, cloud-native patterns, state-of-the-art engineering methodologies and tools like GitHub Copilot and other AI/GenAI tools.  

The ideal candidate is an innovative thinker with proven track record of delivering complex, cross development teams solutions. A hands-on technology enthusiast, and a solid full-stack engineer, they also enjoy helping their peers and their organization remain at the forefront of our industry by identifying and helping implement the latest industry best-practices that boost our organization’s productivity and team members’ experience.  

Experience         : 8+ Years

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

Work Mode        : Hybrid (3 days WFO)

Key Responsibilities: 

• Provide technical leadership to the engineering team using best practices for SaaS and related technologies.  

• Collaborate with cross functional members, to design and deliver innovative and complex technical solution that benefit our customers.  

• Optimize system performance.  

• Help define development guidelines.  

• Mentor the other team members, provide coaching and technical training where needed.  

• Keep abreast of industry best practices, success and failures, and help the team adopt the right practices.  

Key Qualifications: 

• 8+ years of experience developing large enterprise applications using microservices architecture, and container orchestration technologies, running on Kubernetes and/or cloud technologies. 

• Proven track record of successfully leading cross-functional innovative projects  

• Expertise in full-stack development using Golang and React is good to have.

• Expertise in some SQL variant (Postgres preferred)  

• Solid experience in systems design, including experience with scalable architecture, performance optimization  

• Solid understanding of Agile methodologies and DevOps practices  

• Solid problem-solving abilities  

• Ability to think strategically  

• Solid leadership skills  

• Excellent communication skills (in-person and remote) 

• Nice to have: experience developing in TypeScript, Perl, or experience with Github Actions (GHA) 

As a Software Engineer 4, you will help implement complex and innovative solutions, and coach more junior engineers as we maintain and evolve our industry-leading application security platform. Join us and be part of a team that’s pushing the boundaries of web application development with agile practices, cloud-native patterns, state-of-the-art engineering methodologies and tools like GitHub Copilot and other AI/GenAI tools.  

The ideal candidate is an innovative thinker with proven track record of delivering complex, cross development teams solutions. A hands-on technology enthusiast, and a solid full-stack engineer, they also enjoy helping their peers and their organization remain at the forefront of our industry by identifying and helping implement the latest industry best-practices that boost our organization’s productivity and team members’ experience.  

Experience         : 8+ Years

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

Work Mode        : Hybrid (3 days WFO)

Key Responsibilities: 

• Provide technical leadership to the engineering team using best practices for SaaS and related technologies.  

• Collaborate with cross functional members, to design and deliver innovative and complex technical solution that benefit our customers.  

• Optimize system performance.  

• Help define development guidelines.  

• Mentor the other team members, provide coaching and technical training where needed.  

• Keep abreast of industry best practices, success and failures, and help the team adopt the right practices.  

Key Qualifications: 

• 8+ years of experience developing large enterprise applications using microservices architecture, and container orchestration technologies, running on Kubernetes and/or cloud technologies. 

• Proven track record of successfully leading cross-functional innovative projects  

• Expertise in full-stack development using Golang and React is good to have.

• Expertise in some SQL variant (Postgres preferred)  

• Solid experience in systems design, including experience with scalable architecture, performance optimization  

• Solid understanding of Agile methodologies and DevOps practices  

• Solid problem-solving abilities  

• Ability to think strategically  

• Solid leadership skills  

• Excellent communication skills (in-person and remote) 

• Nice to have: experience developing in TypeScript, Perl, or experience with Github Actions (GHA) 

About the role: 
Are you passionate about software quality, security, and being a member of a high-impact team? Join us at Black Duck, a leader in application security, where we drive intelligent, context-aware risk management solutions. We seek a Senior Software QA Engineer to work with the QA Automation engineering team, ensuring the code quality of the Continuous Dynamic product line, and performing manual and automated tests of web applications. 

Key Responsibilities: 

• Collaborate with QA Automation engineers to ensure high-quality delivery of Continuous Dynamic product line through manual and automated testing of web applications. 

• Execute and maintain automation suites, including rebasing and expanding automation jobs in CI/CD pipelines. 

• Gain hands-on experience with containerization technologies (Docker, Kubernetes) within a continuous integration lifecycle. 

• Perform acceptance, regression, usability, and exploratory testing to validate product functionality and user experience. 

Mandatory Skills and Experience: 

• 4+ years of hands-on QA experience in web application testing within Agile/Scrum environments. 

• Strong knowledge of programming concepts, Linux command-line proficiency, and scripting experience (Python preferred; Ruby or Perl acceptable). 

• Practical experience with web automation frameworks (Selenium WebDriver, Robot Framework). 

• Practical experience with API testing and automation utilizing Postman (or equivalent tool) 

• Solid understanding of defect tracking systems (JIRA, Bugzilla). 

• Experience with CI/CD tools (Jenkins, GitHub Actions) and version control (Git). 

• Must possess the ability to learn quickly, and be a resourceful problem-solver, seeking to understand the 'why' behind the 'what' to ensure long-term results 

• Excellent defect reporting, and communication skills are required 

• Team-oriented mindset with ability to build consensus. 

• BE/BTech/MCA/4 years BS Degree in an Engineering, or equivalent 

Preferred qualifications: 

• Experience with Kubernetes, Docker and Ansible 

• Experience creating test cases based on design documentation (knowledge of TestLink is a plus) 

• Familiarity with and/or leveraging AWS-hosted QA environments for deployment, automation, and validation tasks, primarily within dedicated QA instances 

• Exposure to security testing or application security tools is a plus 

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.

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

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.

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

Reporting directly to the Director of Engineering, the Senior Software Engineer will guide the design and implementation of software solutions for ChannelOnline (COL). Our teams work across the front-end (Angular, jQuery, JSP), backend (Java), Data (Elastic, MySQL), 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 COL
• 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 Syndigo 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

• 4+ years of software development experience
• 1+ years of full-stack application development using object-oriented programming (Java) and modern frameworks
• 2+ years of experience designing and implementing solutions with Azure
• 1+ years of experience developing APIs for front-end applications
• 2+ years of experience with relational databases (MySQL) and large data sets
• 1+ years of experience leveraging and maintaining CI/CD tooling (GitHub Actions)
• 1+ years of experience with Perl or other scripting languages (preferred but not required)
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (Azure Blob Storage) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration (Kubernetes) (preferred but not required)
• BS degree in Computer Science, a similar technical field, or equivalent practical experience

**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

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.

Why this role matters:

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

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

Your key responsibilities:

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

What you'll bring

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

Experience we consider a plus:

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

How you’ll benefit:

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

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

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

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

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

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

Job Summary:

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

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

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

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

Join us to shape how developers build mobile apps with Couchbase! You’ll design and develop SDKs, frameworks, sample apps, and developer tools that make it seamless for iOS and Android developers to integrate Couchbase and build offline-first, high-performance apps.

Location: Bangalore, India | Work Model: Hybrid

What You’ll Do

• Build and maintain mobile SDKs, APIs, and sample apps showcasing Couchbase best practices.
• Create tutorials, videos, and guides to simplify Couchbase integration.
• Collaborate with product and engineering teams to improve the developer experience.
• Apply modern architectures (MVVM, MVI, Clean Architecture) and native platform conventions.
• Contribute to CI/CD pipelines, automation, and SDK quality assurance.
• Act as a developer advocate, mentoring engineers and engaging with the community.

What You Bring

• 6–9 years of experience in Swift and Kotlin development.
• Deep understanding of platform internals, networking, and performance tuning.
• Experience with C native interop, REST/gRPC, and offline data management.
• Familiarity with SwiftUI, Jetpack Compose, and unit/integration testing.
• Strong understanding of OOP, mobile architecture, design patterns, and software craftsmanship principles.
• Working experience in Agile/Scrum environments with collaborative cross-team communication.
• Bachelor’s degree in Computer Science or a related field.

Bonus Points

• Exposure to cross-platform frameworks (Flutter, React Native, .NET MAUI).
• Familiarity with SQL/NoSQL databases such as Couchbase/Firebase.
• Understanding of mobile security best practices — OAuth2, PKI, encryption, secure storage.
• Understanding of basic DevOps principles and exposure to DevOps pipelines and automation using GitHub Actions.

Why Join Us

• Define how mobile developers experience Couchbase through SDKs and native integrations.
• Build tools that power fast, reliable, and offline-first apps.
• Influence the future of mobile data experiences across platforms.
• Work with passionate engineers driving developer productivity and innovation.

We are seeking a Senior Engineer who will take ownership of the design and delivery of significant platform initiatives while also mentoring junior engineers. This role will serve as the primary technical contact for internal customers within the designated domains.

What we work on:

• CI/CD platform at scale — driving a full Jenkins → GitHub Actions migration across thousands of weekly builds, with custom reusable workflow libraries and centralized governance
• Developer onboarding & self-service — reducing new repo setup from days to minutes via automated templates, branch protection, and access management
• Shift-left quality — integrating security scanning, coverage gates, and compliance automation directly into the build pipeline
• Observability & metrics — build analytics, failure pattern detection, and platform health dashboards
• Golden paths — standardized, opinionated delivery pipelines so teams spend time on product, not infrastructure

Problems we solve every day:

• Designing caching strategies for dependency resolution across hundreds of build pipelines — where a wrong cache key means wasted minutes multiplied across every engineer's day
• Debugging flaky CI failures that only reproduce at scale — tracing root causes through composite actions, runner environments, and upstream tool behavior
• Balancing platform standardization with the diversity of 850+ engineers' workflows — building guardrails that feel like superpowers, not constraints
• Making security and compliance invisible — so engineers get feedback in the PR, not in an audit six months later
• Deciding when to build vs. adopt — evaluating tools like Backstage, DevLake, and AI coding assistants against real adoption risk and maintenance cost
• Keeping platform uptime high while actively migrating live workloads — zero-downtime evolution of systems that teams depend on every build

Why it matters:Our work has a direct multiplier effect — every improvement we ship reaches every engineering team simultaneously.

What makes the team distinctive:You work at the intersection of platform engineering, developer empathy, and product thinking. The problems are real, the scope is org-wide, and the impact is visible.

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

Why this role matters:

We are looking for a skilled Software Development Engineer in Test (SDET) to join our engineering team. You will be responsible for designing, building, and maintaining automated test frameworks and SDLC, with focus on Playwright-based test automation across UI and APIs for the 3th Party Integration.

This role combines strong programming skills with a quality-first mindset, ensuring our applications are reliable, scalable, and production-ready.

Your key responsibilities:

• Collaborate closely with developers, product managers, and QA to ensure quality across the SDLC
• Build and maintain test automation for REST APIs and third-party integrations (e.g., CRM systems)
• Design, develop, and maintain automated test frameworks using Playwright
• Implement end-to-end (E2E), integration, and API tests
• Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions)
• Contribute to shift-left testing practices and quality engineering initiatives
• Use AI-assisted tools (e.g., GitHub Copilot) to accelerate test development
• Support performance and reliability testing where applicable

What you'll bring

Required:

• Hands-on experience as an SDET / Automation Engineer (mid-level)
• Strong experience with Playwright for UI test automation
• Solid programming skills in TypeScript or JavaScript
• Experience with API testing (REST, Postman, or similar tools)
• Understanding of test design patterns and automation best practices
• Experience integrating tests into CI/CD pipelines (Jenkins, GitHub Actions)
• Familiarity with version control systems (Git)
• Experience working in Agile/Scrum environments
• Strong debugging and problem-solving skills
• Understanding of software testing principles (functional, regression, integration)

Experience we consider a plus:

• Knowledge of contract testing (e.g., Pact)
• Knowledge of cloud platforms (AWS, Azure, or GCP)
• Familiarity with ServiceNow or enterprise SaaS platforms
• Experience with observability tools (Grafana, ELK, etc.)
• Exposure to AI-driven testing approaches or self-healing tests

How you’ll benefit:

• Local benefits
• Additional benefits and perks will be shared and discussed with you by the recruiter during the interview process

#LI-KS1

About the Role

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

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

  Your Impact

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

What you will do 

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

Must Haves 

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

Nice to Have 

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

Cloud Infrastructure & Kubernetes

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

Programming & Framework

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

Technical Leadership & Platform Thinking

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

Job summary

As an Application Security Engineer within our cybersecurity team, you will help safeguard the company’s web applications and services by supporting the integration of security practices into the Software Development Life Cycle (SDLC). You will collaborate with development, DevOps, and security teams to identify, assess, and remediate vulnerabilities, contribute to secure coding practices, and assist in implementing DevSecOps tooling and processes. This role is ideal for someone with a strong technical foundation who is eager to grow within the product/application security space.

What you will do

• Support the integration of security controls and best practices across various phases of the SDLC.
• Assist in security assessments, including static and dynamic code analysis, open-source dependency analysis, and limited penetration testing.
• Participate in manual and automated code reviews to identify potential vulnerabilities and coding flaws.
• Collaborate with software engineers to promote secure development practices, including the use of security testing tools in CI/CD pipelines.
• Contribute to the evaluation, deployment, and tuning of DevSecOps tools such as SAST, DAST, and SCA platforms.
• Help maintain secure deployment workflows and support security automation efforts.
• Participate in cross-functional security reviews of new features and systems with guidance from senior engineers.
• Stay up to date on current security threats, vulnerabilities, and best practices in application security.
• Assist with triaging vulnerabilities from internal scans, bug bounty submissions, or external assessments.
• Document processes and playbooks to support consistent and scalable security practices.
• Provide input to the development of internal security standards and reference architectures.
• Support remediation efforts in collaboration with engineering teams.
• Participate in promoting a security-first culture across the organization.
• Other duties and responsibilities as assigned.

What you will have

• Bachelor’s degree in computer science, cybersecurity, or a related technical field.
• 2+ years of experience in cybersecurity, software engineering, or DevOps, with at least 1+ years focused on application or product security.
• Experience with programming/scripting languages such as Python, JavaScript, or Java.
• Familiarity with DevSecOps tools (SAST, DAST, SCA) and secure SDLC methodologies. - nice to have if they have a solid understanding of common web application vulnerabilities (e.g., OWASP Top 10, CWE).
• Solid understanding of common web application vulnerabilities (e.g., OWASP Top 10, CWE) and remediation strategies.
• Ability to analyze code and spot security issues with guidance.
• Strong communication and collaboration skills.
• Strong attention to detail and willingness to learn new technologies.

Nice to have

• Hands-on experience with CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins).
• Familiarity with security standards and frameworks such as NIST, OWASP SAMM, ISO 27001, or PCI DSS.
• Experience working in a regulated environment (e.g., financial services, healthcare, or government).
• Professional certifications such as Security+, CEH, eJPT, or equivalent (OSCP or similar preferred but not required).
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Experience contributing to or managing a bug bounty triage process.

Benefits

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

#LI-SS1

Job summary

We are seeking an experienced Senior Software Engineer to join our dynamic and innovative team. As a Senior Software Engineer, you will be a key contributor to the design, development, and maintenance of our platforms. You will work closely with cross-functional teams to deliver high-quality software that meets the needs of our customers.

What you will do

• Collaborate with product managers, UX designers and architects to understand project requirements and technical specifications. 
• Design, develop, test, and maintain software applications, ensuring they meet high-quality standards and performance benchmarks. 
• Write clean, efficient, and maintainable code, in accordance with coding standards and best practices. 
• Conduct code reviews to increase code quality, consistency, and alignment with the product design and architecture. 
• Analyze, troubleshoot, and debug product defects and provide timely solutions to customer issues. 
• Stay up to date on emerging technologies and industry trends to continuously improve software development processes and tools. 
• Contribute to architectural decisions and help drive technical innovation within the team. 

What you will have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent hands-on experience).
• 5+ years of experience as a Software Engineer (SSE) building scalable, production-grade web applications.
• Strong proficiency in Python and JavaScript, with full-stack development exposure.
• Deep expertise in modern frontend engineering using JS, Redux Toolkit, and strong fundamentals in ES6+, HTML5, CSS3, SASS, Tailwind CSS.
• Solid understanding of software design principles and architectures (modular design, domain-driven design, clean architecture) with a focus on scalability, maintainability, and performance.
• Hands-on experience with containerization and orchestration tools such as Docker, Kubernetes, and Helm for scalable deployments.
• Exposure to cloud platforms (AWS /GCP) with experience in building and deploying cloud-native applications.
• Strong DevOps mindset, including CI/CD pipelines (GitHub Actions, GitLab CI, Bitbucket, Harness), Infrastructure as Code (Terraform, CloudFormation), and automated deployment strategies.
• Strong experience with LLM-based developer tools and workflows, including Claude Code, GitHub Copilot, and modern AI-assisted engineering practices; adept at leveraging AI for code generation, optimization, debugging, and applying best practices in prompt engineering and workflow automation.
• Good exposure to application security practices, including secure coding standards (OWASP), vulnerability awareness, and implementing security best practices across the stack.
• Experience with API security and authentication mechanisms such as JWT, OAuth2, OpenID Connect, along with concepts like rate limiting and API gateways.
• Effective communicator and team player, experienced in collaborating with product, design, QA, and platform teams to deliver high-quality solutions.

Nice to have

• Working knowledge of PKI, cryptography, and code signing is an added advantage.
• Solid understanding of LLMs and RAG systems, including prompt engineering, embeddings, and vector databases (e.g., Postgres pgvector, Pinecone, Weaviate), along with orchestration frameworks such as LangChain and LlamaIndex.
• Familiarity with deploying GenAI workloads on AWS, Azure, and GCP (e.g., Bedrock, OpenAI, Azure OpenAI), including implementing guardrails, content filtering, and observability for LLM-based applications.

Benefits

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

#LI-SD1

What You’ll Do:

• Architect the Future of AI Infrastructure: You will design, build, and own the end-to-end platform that supports the entire lifecycle of our ML models—from massive-scale distributed training to ultra-low-latency, highly-available inference.
• Optimize and Serve Cutting-Edge Models: You'll implement and scale sophisticated inference stacks for LLMs using frameworks like vLLM, TensorRT-LLM, or SGLang. You’ll solve complex challenges in throughput, latency, token streaming, and automated scaling to deliver a seamless user experience. 
• Empower AI Innovation: You will act as a strategic partner to our AI Research and Data Science teams. You’ll create a seamless developer experience that accelerates their ability to experiment, fine-tune, and deploy groundbreaking models with velocity and confidence.
• Automate Everything: You'll develop robust CI/CD/CT (Continuous Training) pipelines using tools like Argo Workflows, ArgoCD, and GitHub Actions to automate model validation, deployment, and lifecycle management, ensuring our systems are both agile and rock-solid.

What are we looking for

• Experience: 5+ years in infrastructure or software engineering, with at least 2+ years laser-focused on MLOps or ML infrastructure for large-scale distributed systems.
• Education: A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Kubernetes & Cloud Native Expertise: Deep, hands-on expertise with Kubernetes in production. You are fluent in the cloud-native ecosystem, including Helm, ArgoCD, and Argo Workflows.
• GPU & Cloud Mastery: Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment.
• Modern LLM Serving Experience: Hands-on experience with modern LLM inference serving frameworks (e.g., vLLM, SGLang, Triton Inference Server, Ray Serve). You understand the unique challenges of serving generative models.
• Strong Coder: Strong programming proficiency in Python or Go, with experience using ML frameworks like PyTorch, Jax, TensorFlow.
• Observability Mindset: A passion for building observable and resilient systems using modern monitoring tools (e.g., Prometheus, Grafana, OpenTelemetry).

We would love to see:

• Deep performance optimization skills, including writing custom inference kernels in CUDA or Triton to accelerate model performance beyond what off-the-shelf frameworks provide.
• Experience with model optimization techniques like quantization, distillation, and speculative decoding.
• Exposure to training and serving multi-modal models (e.g., text-to-image, vision-language).
• Knowledge of AI safety and evaluation frameworks for monitoring model performance for things like bias, toxicity, and hallucinations.

As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

Role Overview

We are looking for domain-first, systems-oriented engineers who understand how real-world systems (in renewable energy, automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev.

As a Solutions Engineer, you will act as a trusted advisor, combining domain expertise, engineering depth, and problem-solving to help customers unlock value from their data through DevRev’s AI platform.

You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling real-world automation, intelligence, and agentic workflows.

Key Responsibilities

• Partner with customers to deeply understand domain workflows, systems, and data flows (e.g., connected vehicles, factory systems, IoT environments)
• Translate real-world signals (sensor data, logs, events) into insights, workflows, and automated actions
• Build and showcase AI-driven workflows, automations, and agentic use cases
• Design and articulate end-to-end solutions (data ingestion → processing → decision → action)
• Act as a technical advisor, guiding customers on how DevRev can integrate into and enhance their existing systems
• Deliver tailored demos, PoCs, and solution walkthroughs grounded in real-world use cases (not generic SaaS demos)
• Support integrations with external systems via APIs, webhooks, and data pipelines
• Contribute to technical proposals, RFP/RFI responses, and solution architectures
• Stay current on industry trends (renewable energy, automotive, manufacturing, IoT, AI) and bring insights into customer conversations

Qualifications & Skills

Domain Expertise 

• Experience in renewable energy, automotive, manufacturing, industrial systems, or IoT environments
• Strong understanding of:
• Connected systems (vehicles, machines, robotics, embedded systems)
• Sensor ecosystems (CAN, telemetry, vision systems, IoT devices)
• Real-world data (signals, logs, time-series)
• Familiarity with manufacturing workflows (inspection, defect detection, production cycles).
• Ability to explain data flow from system → processing → business outcomes

Engineering Depth

• Strong system-level thinking
• Experience with:
• Data pipelines, APIs, integrations, distributed systems
• Experience in Python / TypeScript / JavaScript (or similar)
• Understanding of system design, reliability, and failure handling
• Exposure to AI/ML in industrial use cases (vision systems, predictive maintenance, log-stream analysis, etc.)

Problem Solving & Use Case Thinking

• Ability to translate data → insights → workflows → actions
• Experience designing end-to-end systems
• Strong analytical mindset to identify automation opportunities from real-world signals

AI & Tools

• Exposure to LLMs, RAG, AI agents
• Familiarity with prompt design and AI workflows
• Tools: Postman, GitHub, Jira, Cursor, Claude Code

What You Will Do

• Define and lead the performance engineering strategy across high-availability, cloud-native telecom platforms.
• Lead, train, and coordinate a distributed guild of SDETs across multiple feature teams, guiding them to build, maintain, and execute performance scripts (k6) within their fractional sprint capacity.
• Design, develop, and evolve scalable backend performance frameworks using k6, Python, Java, or TypeScript, focusing entirely on APIs, databases, and infrastructure.
• Implement and manage production traffic replay strategies (e.g., GoReplay) and complex multi-tenant test data generation to accurately recreate realistic production contention and load profiles.
• Own and drive performance, load, stress, endurance, scalability, and resilience testing, including chaos engineering practices (e.g., using AWS Fault Injection Simulator).
• Validate real-time communication systems, event-driven architectures (Kafka, RabbitMQ), and high-throughput distributed systems under production-like conditions.
• Integrate performance testing into CI/CD pipelines, enabling continuous performance validation, shift-left practices, and automated PR blocking for latency degradation.
• Leverage observability tooling (Grafana, CloudWatch, Coralogix, VictoriaMetrics, PMM) to monitor, analyse, and troubleshoot system performance.
• Establish performance benchmarks, SLAs, SLOs, and error budgets aligned with business and system requirements.
• Collaborate with architecture and data teams to identify bottlenecks, validate database architectures (e.g., MySQL, Tungsten), and present evidence-based investment proposals.
• Analyse and optimise performance across both legacy monolith systems (requiring integrated load testing) and modern microservices architectures.

What You Will Bring

• Proven experience mentoring and coordinating testing efforts across large, distributed engineering teams (e.g., conducting code reviews, guiding SDETs through framework adoption, and managing cross-team test schedules).
• Strong hands-on experience with AWS cloud services (EC2, ECS, RDS, API Gateway) with a focus on scalability and performance optimisation.
• Proven expertise in performance testing tools (specifically k6, along with JMeter or Gatling), including test design, execution, and analysis at scale.
• Hands-on experience with production traffic shadowing or replay tools (such as GoReplay).
• Deep experience testing distributed systems, message brokers (Kafka, RabbitMQ), microservices architectures, and high-volume, low-latency APIs.
• Solid backend programming and scripting skills in Python, Java, or TypeScript to build custom performance frameworks and tooling.
• Strong understanding of system design, concurrency, throughput, latency, and fault tolerance principles.
• Experience implementing performance testing within CI/CD pipelines (Jenkins, GitHub Actions) and enabling continuous performance feedback loops.
• Hands-on experience with observability and monitoring tools (Grafana, Coralogix, PMM) for performance analysis and diagnostics.
• Experience working within Agile environments and translating performance insights into actionable engineering outcomes.

Required

• Demonstrable hands-on experience in backend performance engineering and automation using Python, Java, or TypeScript.
• Proven track record of performance, scalability, and resilience testing in AWS-based cloud-native systems.
• Strong experience designing large-scale performance test strategies and leading QA/SDET teams to execute them.
• Deep understanding of API performance testing, integration testing, and system-level non-functional validation.
• Solid grasp of system architecture, distributed systems behaviour, and non-functional testing methodologies.
• Experience with observability, monitoring, and log analysis tools.
• Familiarity with RESTful APIs and event-driven systems.

Application Requirements

• Updated CV clearly demonstrating performance engineering leadership, cross-team coordination, AWS expertise, and backend automation frameworks.
• Summary of performance testing frameworks, tools (e.g., k6, GoReplay), and CI/CD methodologies implemented.
• Detailed examples of performance testing engagements (scale, environments, bottlenecks identified, business impact, improvements delivered).
• Evidence of driving performance strategy, mentoring QA/SDET teams, and influencing architecture.

#LI-KS1

Production Operations Engineer 3 – P3 (ProdOps / SRE) 

Location: Bangalore – Hybrid 

Experience: 5–8 years 

Shift: 24/7 Rotational shifts (Including Night Shifts & Weekend On-Call) 

About the Role 

The Production Operations Engineer will support and stabilize large-scale production systems with a focus on incident management, monitoring, site reliability, and customer-facing communications. This is a hands-on role requiring ownership of critical production issues in a 24/7 environment. 

Key Responsibilities 

• Own and manage Critical and High production incidents end-to-end. 

• Participate in SWARM / Tech Bridge calls and lead incidents during assigned shifts. 

• Improve MTTR, MTTA, alert quality, and operational stability. 

• Perform root cause analysis (RCA) and drive corrective actions. 

• Monitor production systems and proactively detect issues. 

• Automate operational tasks using Go, Python, Shell, or Perl. 

• Maintain dashboards, alerts, runbooks, and SOPs. 

• Handle customer-facing communications during incidents. 

• Coordinate with Engineering, Product, CloudOps, and Support teams. 

• Guide junior engineers and support shift handovers. 

• Lead automation initiatives to reduce toil and manual intervention.  

• Write and review operational automation using Go / Python / Shell / Perl.  

• Act as a technical reviewer for reliability‑critical changes.  

• Influence architecture decisions with operability and reliability in mind.  

• Own and standardize runbooks, SOPs, and disaster recovery processes. 

Leadership & Mentorship 

• Provide technical leadership and mentorship to ProdOps engineers. 

• Guide shift teams during complex situations. 

• Support onboarding, training, and upskilling of team members. 

• Drive operational maturity across the team. 

Tech Stack & Expertise 

Required Technologies 

• Containers & Orchestration: Docker, Kubernetes, Helm 

• Cloud Platforms: AWS / GCP / Azure 

• Infrastructure as Code: Terraform 

• CI/CD: Jenkins, Harness, GitHub Actions, ArgoCD, GitLab CI 

• Monitoring & Observability: Prometheus, Grafana, ELK, Datadog, New Relic, Loki 

• Version Control: Git, GitHub, GitLab 

• Scripting: Go or Python or Shell or Perl 

Qualifications 

• 6+ years of experience in Production Operations, SRE, or Cloud Reliability roles. 

• Proven experience leading major production incidents in customer‑facing systems. 

• Strong background in distributed systems, Kubernetes, and cloud environments. 

• Experience mentoring engineers and driving reliability initiatives. 

• Excellent written and verbal communication skills. 

What We Offer 

• An opportunity to be part of a dynamic and innovative team. 

• Inclusive and collaborative work environment. 

• Continuous learning and professional development opportunities. 

• Exposure to large-scale and customer-critical systems. 

Title: DevOps Engineer

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

Opportunity:

Responsibilities:

Infrastructure Development & Integration

• Design, implement, and manage cloud-native infrastructure (AWS, Azure, GCP) to support healthcare platforms, AI agents, and clinical applications.
• Build and maintain scalable CI/CD pipelines to enable rapid and reliable delivery of software, data pipelines, and AI/ML models.
• Design and manage Kubernetes (K8s) clusters for container orchestration, workload scaling, and high availability with integrated monitoring to ensure cluster health and performance
• Implement Kubernetes-native tools (Helm, Kustomize, ArgoCD) for deployment automation and environment management ensuring observability through monitoring dashboards and alerts
• Collaborate with Staff Engineers/Architects to align infrastructure with enterprise goals for scalability, reliability, and performance leveraging monitoring insights to inform architectural decisions.

System Optimization & Reliability

• Implement and maintain comprehensive monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog, AWS cloudwatch, AWS cloud trail) to ensure real-time visibility into system performance, resource utilization, and potential incidents.
• Implement monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog) to ensure system reliability and proactive incident response.
• Ensure data pipeline workflows (ETL/ELT, real-time streaming, batch processing) are observable, reliable, and auditable.
• Support observability and monitoring of GenAI pipelines, embeddings, vector databases, and agentic AI workflows.
• Proactively analyze monitoring data to identify bottlenecks, predict failures, and drive continuous improvement in system reliability.

Compliance & Security

• Support audit trails and compliance reporting through automated DevSecOps practices.
• Implement security controls for LLM-based applications, AI agents, and healthcare data pipelines, including prompt injection prevention, API rate limiting, and data governance.

Collaboration & Agile Practices

• Partner closely with software engineers, data engineers, AI/ML engineers, and product managers to deliver integrated, secure, and scalable solutions.
• Contribute to agile development processes including sprint planning, stand-ups, and retrospectives.
• Mentor junior engineers and share best practices in cloud-native infrastructure, CI/CD, Kubernetes, and automation.

Innovation & Technical Expertise

• Stay informed about emerging DevOps practices, cloud-native architectures, MLOps/LLMOps, and data engineering tools.
• Prototype and evaluate new frameworks and tools to enhance infrastructure for data pipelines, GenAI, and Agentic AI applications.
• Advocate for best practices in infrastructure design, focusing on modularity, maintainability, and scalability.

Requirements

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline.
• 6+ years of experience in DevOps, Site Reliability Engineering, or related roles, with at least 3+ years building cloud-native infrastructure.
• Proven track record of managing production-grade Kubernetes clusters and cloud infrastructure in regulated environments.
• Experience supporting GenAI/LLM applications (e.g., OpenAI, Hugging Face, LangChain) and vector databases (e.g., Pinecone, Weaviate, FAISS).
• Hands-on experience supporting data pipeline products using ETL/ELT frameworks (Apache Airflow, dbt, Prefect) and streaming systems (Kafka, Spark, Flink).
• Experience deploying AI agents and orchestrating agent workflows in production environments.

Technical Proficiency

• Expertise in Kubernetes (K8s) for orchestration, scaling, and managing containerized applications.
• Strong proficiency in containerization (Docker) and Kubernetes ecosystem tools (Helm, ArgoCD, Istio/Linkerd for service mesh).
• Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or Pulumi).
• Proficiency with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, ArgoCD, Spinnaker).
• Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog, AWS cloud watch and AWS cloud trail), including setting up dashboards, alerts, and custom metrics for cloud-native and AI systems.
• Good to have: knowledge of healthcare data standards (FHIR, HL7) and secure deployment practices for AI/ML and data pipelines.

Professional Skills

• Strong problem-solving skills with a focus on reliability, scalability, and security.
• Excellent collaboration and communication skills across cross-functional teams.
• Proactive, detail-oriented, and committed to technical excellence in a fast-paced healthcare environment.

About Get Well:

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

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

About SAI Group:

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

• Act as a Strategic DevSecOps Technical Advisor : Engage deeply with enterprise customers to understand their architectures, development pipelines, and security goals. Architect, guide, and optimize Black Duck integrations across CI/CD environments using tools such as Jenkins, GitHub Actions, Kubernetes, Docker, Helm, and Terraform.
• Troubleshoot Complex DevSecOps Workflows : Analyze and resolve sophisticated issues across containerized systems, Linux environments, SQL platforms, and cloud‑native infrastructures. Provide root‑cause investigations that strengthen system reliability and enhance vulnerability management processes.
• Drive Technical Collaboration with Product & Engineering :Work closely with R&D, product managers, and engineering teams to validate behaviors, escalate critical findings, and influence product improvements. Convert customer challenges into actionable enhancements that shape the future capabilities of Black Duck.
• Deliver Expert Guidance on Secure SDLC Practices : Provide customers with proactive technical recommendations, best practices, and architectural guidance on open-source risk management, DevSecOps maturity, and secure development lifecycle adoption.
• Enable Successful Enterprise Deployments : Lead technical onboarding, integration reviews, and solution design discussions to ensure customers implement scalable, secure, and efficient DevSecOps workflows powered by Black Duck.
• Working a permanent EST time zone (IST 5.30 PM to 2.30 AM) as part of a 24x7 team.

What We Are Seeking

Must-Haves:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Excellent communication skills - both written and verbal.
• Experience with 3 or more of the following,
  • Troubleshooting complex applications
  • Container Orchestration tools – Docker Swarm & Kubernetes
  • Web application servers, particularly Tomcat
  • Databases, SQL
  • Jenkins, TeamCity, or other CI/CD tools, Git, Terraform.
  • Ability to read and debug code in one or more of the following: C/C++, C#, Objective-C, Java.
  • Solid understanding of Unix/Linux systems and scripting.

Preferred Skills & Experience (Nice to have)

• 3+ years of experience in technical support.
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Open Source Software
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle, SQL Server) or search services (e.g., JVM memory analysis, CPU utilization).
• Exposure to application security tools such as Coverity, Black Duck, Seeker, Fortify, Checkmarx, etc.
• Understanding of open source licenses and application security best practices.

Role Overview 

We are looking for a QA Lead who can architect the overall quality strategy for JazzX AI’s platforms and AI-powered products. This role requires a blend of traditional QA expertise, AI/ML awareness, and strong leadership capabilities. 
You will lead the quality roadmap for agent workflows, LLM outputs, APIs, and cloud services while managing a high-performing QA team. 

 Key Responsibilities 

1. Quality Strategy & Leadership

• Build and own JazzX AI’s end-to-end QA strategy across AI copilots, workflows, and enterprise deployments. 

• Lead, mentor, and scale a team of QA engineers and automation specialists. 

• Partner closely with Product, ML Engineering, and Platform Engineering to embed quality in early design phases. 

• Define and enforce quality gates and release-readiness standards. 

1. AI/LLM-Specific Quality Assurance

• Develop evaluation systems for LLM accuracy, hallucination detection, factuality, safety, and bias mitigation. 

• Design scalable tests for agent reasoning, tool-use correctness, and multi-step workflow validation. 

• Create synthetic datasets and scenario-based tests for edge-case prediction and regression testing. 

• Validate model performance across fine-tuning, RAG, knowledge-grounding, and inference scenarios. 

1. Automation Engineering

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Ensure seamless integration of automated suites into CI/CD pipelines (GitHub Actions/GitLab/Jenkins). 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on AWS/GCP. 

1. Performance Testing

• Load Testing, Stress Testing, Spike Testing, Endurance/Soak Testing using industry-standard tools like JMeter, LoadRunner, Gatling, k6, or Locust. 

1. Release, Monitoring & Reliability

• Own the release sign-off process for all AI software components and platform features. 

• Conduct RCA, maintain issues of dashboards, and drive continuous improvement in QA lifecycle. 

• Collaborate with DevOps/ML Ops to monitor model drift, performance anomalies, and post-production behaviors. 

1. Documentation & Communication

• Prepare detailed QA documents: strategies, test plans, evaluation reports, and execution metrics. 

• Provide clear communication of risks, quality insights, and impact analysis to leadership. 

 Required Qualifications 

• 5+ years of experience in Software QA. 

• Strong hands-on experience with test automation frameworks and scripting (Python/Java/JavaScript). 

• Experienced in working with microservice-based architecture 

• Working knowledge of AI/ML systems, including datasets, model evaluation, vector stores, RAG, and LLM operations. 

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on Azure /AWS. 

• Experience testing distributed cloud systems, APIs, and high-performance backend services. 

• Strong analytical and problem-solving skills with the ability to drive organization-wide quality initiatives. 

 Preferred Skills 

• Experience testing LLMs, RAG pipelines, or autonomous AI agents. 

• Familiarity with AI observability tools, logging/monitoring stacks (ELK, Prometheus, Datadog). 

• Exposure security testing, performance/load testing, and compliance (SOC2, GDPR). 

• Ability to operate in a fast-paced, zero-to-one startup environment. 

Role Overview 

We are looking for a QA Lead who can architect the overall quality strategy for JazzX AI’s platforms and AI-powered products. This role requires a blend of traditional QA expertise, AI/ML awareness, and strong leadership capabilities. 
You will lead the quality roadmap for agent workflows, LLM outputs, APIs, and cloud services while managing a high-performing QA team. 

 Key Responsibilities 

1. Quality Strategy & Leadership

• Build and own JazzX AI’s end-to-end QA strategy across AI copilots, workflows, and enterprise deployments. 

• Lead, mentor, and scale a team of QA engineers and automation specialists. 

• Partner closely with Product, ML Engineering, and Platform Engineering to embed quality in early design phases. 

• Define and enforce quality gates and release-readiness standards. 

1. AI/LLM-Specific Quality Assurance

• Develop evaluation systems for LLM accuracy, hallucination detection, factuality, safety, and bias mitigation. 

• Design scalable tests for agent reasoning, tool-use correctness, and multi-step workflow validation. 

• Create synthetic datasets and scenario-based tests for edge-case prediction and regression testing. 

• Validate model performance across fine-tuning, RAG, knowledge-grounding, and inference scenarios. 

1. Automation Engineering

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Ensure seamless integration of automated suites into CI/CD pipelines (GitHub Actions/GitLab/Jenkins). 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on AWS/GCP. 

1. Performance Testing

• Load Testing, Stress Testing, Spike Testing, Endurance/Soak Testing using industry-standard tools like JMeter, LoadRunner, Gatling, k6, or Locust. 

1. Release, Monitoring & Reliability

• Own the release sign-off process for all AI software components and platform features. 

• Conduct RCA, maintain issues of dashboards, and drive continuous improvement in QA lifecycle. 

• Collaborate with DevOps/ML Ops to monitor model drift, performance anomalies, and post-production behaviors. 

1. Documentation & Communication

• Prepare detailed QA documents: strategies, test plans, evaluation reports, and execution metrics. 

• Provide clear communication of risks, quality insights, and impact analysis to leadership. 

 Required Qualifications 

• 12+ years of experience in Software QA. 

• Strong hands-on experience with test automation frameworks and scripting (Python/Java/JavaScript). 

• Experienced in working with microservice-based architecture 

• Working knowledge of AI/ML systems, including datasets, model evaluation, vector stores, RAG, and LLM operations. 

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on Azure /AWS. 

• Experience testing distributed cloud systems, APIs, and high-performance backend services. 

• Strong analytical and problem-solving skills with the ability to drive organization-wide quality initiatives. 

 Preferred Skills 

• Experience testing LLMs, RAG pipelines, or autonomous AI agents. 

• Familiarity with AI observability tools, logging/monitoring stacks (ELK, Prometheus, Datadog). 

• Exposure security testing, performance/load testing, and compliance (SOC2, GDPR). 

• Ability to operate in a fast-paced, zero-to-one startup environment. 

We are moving beyond the era of buttons and screens. We believe the future of our marketplace isn't a better UI; it’s the disappearance of the UI. We are transitioning from an app-based marketplace to an agent-first ecosystem where intelligent entities negotiate, schedule, and execute on behalf of our Pros and Partners. As leader of the Product Operations team in India, you are the master architect of this transition. You won't just manage a team; you will define the technical infrastructure that allows our marketplace to run autonomously. You are a "Builder-Leader" who can debate model latency with engineers in the morning and present agentic ROI to the Board in the afternoon.

Your Mandate: The Three Pillars

1. Architectural Leadership (The "Agent-First" Blueprint)

● Define the roadmap for transitioning from manual "point-and-click" workflows to intent-driven delegation.
● Oversee the design of the "Agentic Layer"—the middleware that translates user intent into marketplace actions.
● Ensure our "Ops" are not just efficient, but programmatic and self-healing.

2. Technical Execution & Hyper-Automation

● Lead the "Strike Team" that prototypes high-stakes automations. You are expected to be hands-on with Python/TypeScript, navigating Cursor or Replit to build the first 20% of a solution that proves a concept.
● Implement Reasoning-as-a-Service: Distinguish where LLMs (GPT, Claude, Gemini) are required for nuance versus where deterministic logic provides the reliability a marketplace demands.

3. Marketplace Intelligence

● Build automated systems to solve for liquidity balancing and real-time negotiation.
● Develop the telemetry needed to "debug" an agentic world. If an agent fails to close a deal, you need the data infrastructure to know why (Was it the prompt? The data? The logic?).

Who You Are

● The 10-Year Veteran: You have spent a decade at the intersection of Product, Engineering, and Operations. You’ve seen the shift from SaaS to Mobile, and you’re now leading the shift to AI.
● A Technical Polymath: You likely started in Engineering and moved into Product/Ops. You can read a PR, query a vector database, and build a LangChain/AutoGPT-style pipeline without hand-holding.
● Systems Thinker: You don't solve problems with more headcount; you solve them with better code and smarter agents.
● Bangalore Ecosystem Leader: You understand how to build and mentor high-performance technical teams in India's premier tech hub.

Qualifications
● 10+ years of experience in Product Operations, Technical Program Management, or Engineering Leadership (at least 4 years in a leadership role).
● Deep Automation Stack: Expert-level proficiency in Python or TypeScript. Experience with AI-native development environments and building with LLM APIs is non-negotiable.
● Marketplace Experience: Proven track record in high-frequency marketplaces (e.g., Ride-sharing, Food Delivery, Freelance platforms) where real-time matching is critical.
● Agentic Portfolio: You must be able to demonstrate (via GitHub or a portfolio) actual agents or autonomous workflows you have built—not just "GPT wrappers."

This role is not for you if

● You have worked primarily in operations with no technical/product background
● You are looking for a traditional Product Management role leading a team of PMs
● Bleeding edge of AI scares you rather than excites you
● You don't want to spend >80% of your time hands-on building things

The Role 

Staff - Software Development Engineer in Test

 Responsibilities

• Technical Leadership
• Architect, design, and implement scalable and reusable test automation frameworks for UI, API, and performance testing.
• Drive shift-left testing by integrating automated tests early in the SDLC.
• Optimize existing automation frameworks for faster execution, stability, and reliability.
• Ensure comprehensive test coverage across functional, integration, regression, performance, and security testing layers.
• Establish best practices in test automation using modern tools and frameworks.
• Review and enhance CI/CD pipelines to include automated testing, test reporting, and quality gates.
• Provide technical mentorship to SDET-1 and SDET-2 team members, guiding them on automation, testing best practices, and debugging complex issues.
• Collaboration & Stakeholder Engagement
• Work closely with developers, DevOps, and product managers to define test plans, strategies, and quality metrics.
• Collaborate with development teams to implement unit and integration tests.
• Drive defect triage and resolution processes, ensuring timely identification and fixes.
• Partner with DevOps to enhance test execution in CI/CD pipelines.
• Advocate for quality-first development practices across engineering teams.
• Automation & Tooling
• Develop robust test scripts in Java, Python, or JavaScript using frameworks like Selenium, Cypress, Appium, or Playwright.
• Implement API automation testing using tools such as RestAssured, Postman, or Karate.
• Lead efforts in performance testing using JMeter, Gatling, or Locust.
• Ensure security testing is embedded within test pipelines.
• Maintain test execution reports, dashboards, and key quality metrics using tools like Allure, TestRail, and Datadog.
• Process & Best Practices
• Define and enforce test-driven development (TDD) and behavior-driven development (BDD) methodologies.
• Improve test data management strategies for stable and repeatable test execution.
• Introduce mocking and service virtualization where applicable.
• Conduct code reviews for automation scripts and provide constructive feedback.
• Lead test strategy discussions for microservices and distributed systems testing.

Requirements

• 7-10 years of experience in software development, testing, and automation.
• Strong proficiency in one or more programming languages (Java, Python, JavaScript).
• Experience with test automation frameworks like Selenium, Appium, Cypress, TestNG, JUnit, Playwright.
• Solid knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Bamboo, or CircleCI).
• Hands-on experience with containerized environments (Docker, Kubernetes).
• Experience in testing microservices and RESTful APIs.
• Good understanding of AWS, GCP, or Azure for cloud-based testing.
• Exposure to performance and security testing methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.

About the role

As a SDET-II, you will play a critical role in shaping and executing our automation-first quality strategy across web, API and AI-driven systems. You’ll work closely with Engineering and Product teams to ensure that quality is designed into every feature, enforced through strong automation, and protected by strict release gates. This is a hands-on, technically deep role with real ownership and impact.

What you’ll do

• Lead and standardize test automation practices across teams and services
• Design, build, and maintain scalable automation frameworks using Playwright and SerenityJS
• Develop automated test suites in JavaScript/TypeScript for web, API, and workflow validation
• Design and maintain REST API automation using Postman or equivalent tools
• Integrate automation deeply into CI/CD pipelines using Jenkins and/or GitHub Actions
• Enforce mandatory quality gates, blocking releases on automation or sanity failures
• Monitor automation executions, analyze failures, and drive root-cause resolution
• Conduct automation code reviews to ensure consistency, reusability, and maintainability
• Collaborate during design and story elaboration to define acceptance criteria and risk coverage
• Mentor QA and engineering teams on automation frameworks, tooling, and best practices
• Contribute to automation metrics, reporting, and continuous improvement initiatives

Who you are

• 3+ years of experience in QA Automation / SDET roles
• Strong hands-on experience with Playwright and SerenityJS (JavaScript/TypeScript)
• Proficient in JavaScript/TypeScript for building reliable, maintainable automation
• Solid experience in REST API testing using Postman or similar tools
• Hands-on experience with CI/CD automation using Jenkins and/or GitHub Actions
• Having experience working with the Cucumber BDD framework.
• Strong working knowledge of Git (GitHub) and modern version control workflows
• Experience working with Docker and Kubernetes-based environments
• Exposure to Accessibility (A11y) testing, with an understanding of WCAG principles
• Experience with Desktop Automation testing
• Strong understanding of regression, integration, system, and end-to-end testing
• Excellent problem-solving skills with the ability to debug complex automation failures
• Strong communication skills and the ability to influence quality across teams

Even better if you have

• Use AI agents or tools to perform day-to-day activities or to test AI-powered features.
• Familiarity with visual regression testing, cross-browser testing, and performance validation
• Experience designing or contributing to automation metrics and quality dashboards
• Exposure to cloud-native, large-scale SaaS platforms
• Experience mentoring teams and driving the adoption of quality standards across multiple squads

You will thrive in this role if

• Believe quality is a shared responsibility across Engineering, QA, and Product
• Prefer preventing defects through strong automation and release gates
• Enjoy building systems that scale, rather than relying on manual effort
• Comfortable enforcing 100% pass-rate mandates for critical workflows
• Like working on complex systems involving CI/CD, containers, and AI-driven logic
• Care deeply about reliability, trust, accessibility, and real-world user experience

Role Summary

We are building a next-generation Core Infrastructure platform focused on:

• Zero-trust security and identity-based access
• Multi-region and multi-account scalability (multi cloud in future)
• Highly automated, self-service infrastructure
• Reliable and observable systems at scale

This role will own foundational infrastructure systems—networking, identity, compute platforms, and automation frameworks—that power all services.

Core Areas of Ownership

[1] Core Infrastructure & Cloud Platform

• Design and evolve infrastructure on:
• Amazon Web Services
• Kubernetes
• Build and scale:
• Multi-region and multi-account architectures
• Secure and scalable service connectivity (VPC, cross-account, cross-region)

[2] Security & Zero Trust

• Drive adoption of:
• Identity-based access (eliminate shared credentials)
• Implement:
• Secrets management using HashiCorp Vault
• Policy enforcement using Open Policy Agent
• Design:
• Secure service-to-service communication
• Fine-grained IAM and access control systems

[3] Infrastructure as Code & Automation

• Build infrastructure using:
• Terraform
• Pulumi
• Ansible
• Create:
• Reusable modules and abstractions
• Fully automated provisioning workflows
• Integrate with CI/CD:
• GitHub Actions
• Jenkins

[4] Cluster & Infrastructure Lifecycle

• Own lifecycle of:
• Kubernetes clusters (e.g., EKS)
• Databases (eg, rds/aurora/elastic cache. etc)
• Automate:
• Cluster upgrades and migrations
• Node scaling and patching

[5] Multi-Region & Migration Engineering

• Design:
• Region-agnostic infrastructure patterns
• Enable:
• Automated regions bootstrap and failover
• Lead:
• Migration initiatives (region, account, or cloud)

[6] Observability & Reliability

• Build and operate:
• Metrics, logging, and tracing systems using:
• Prometheus
• Grafana
• ELK stack
• Datadog
• Improve:
• System reliability, alerting, and incident response

[7 ] Governance & Standards

• Define and enforce:
• Resource tagging strategies
• Data classification policies
• Ensure:
• Cost visibility and auditability

[8] Developer Productivity & Platform

• Build:
• Self-service infrastructure workflows
• Improve:
• Developer experience through automation and tooling
• Contribute to:
• Internal platform evolution

Responsibilities

• Architect, build, and scale core infrastructure systems
• Automate infrastructure lifecycle to minimize human intervention
• Design secure connectivity across services, VPCs, accounts, and regions
• Debug and resolve complex production issues across the stack
• Write production-quality code, tools, and frameworks
• Collaborate with engineering teams to standardize infrastructure usage

Minimum Qualifications

• 10+ years in a Software Engineering role or equivalent experience
• 5+ years of experience in infrastructure engineering
• Strong hands-on experience with:
• Amazon Web Services
• Kubernetes
• Terraform or Pulumi
• Strong understanding of:
• Networking (VPC, routing, DNS, connectivity)
• IAM and access control
• Experience with:
• Automating infrastructure workflows
• High-availability and scalable systems
• Proficiency in:
• Python / Go / Bash

Preferred Qualifications

• Experience with:
• Multi-region or multi-account architectures
• Automating infrastructure migrations and upgrades (e.g., EKS upgrades)
• Secrets management platforms (e.g., HashiCorp Vault)
• Familiarity with:
• Policy-as-code (e.g., Open Policy Agent)
• Observability systems (Prometheus, Grafana, datadog)
• Exposure to:
• Data infrastructure (Hadoop, Trino, Spark)
• Service mesh (e.g., Istio)

• Security Integration: Embed security best practices across the software development lifecycle (SDLC), from code commit to deployment, ensuring "security by design."
• Collaboration: Work closely with Cloud Security and Product Security teams to develop and enforce security standards, policies, and frameworks.
• Infrastructure Hardening: Implement and automate security controls across AWS/Azure/GCP resources, Kubernetes clusters, containers, and other infrastructure components.
• CI/CD Security: Integrate automated security testing, static and dynamic analysis, and vulnerability scanning into CI/CD pipelines.
• Threat Detection & Incident Response: Develop and maintain monitoring/alerting for security incidents; participate in incident triage, root cause analysis, and response efforts.
• Tooling & Automation: Build and maintain automation for compliance checks, secrets management, access controls, patching, and audit logging.
• Governance: Ensure the team’s infrastructure and deployments are compliant with industry regulations and Tekion’s internal security requirements.
• Continuous Improvement: Stay current with emerging threats, vulnerabilities, and security best practices; propose and implement relevant improvements.
• Evangelism: Foster a security-first mindset within DevOps and engineering teams through knowledge sharing, documentation, and training.

• Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
• 3-7 years of experience in DevOps, Site Reliability Engineering, or Security Engineering roles.
• Solid hands-on experience with cloud infrastructure (AWS/GCP/Azure).
• Deep understanding of secure infrastructure design, identity and access management, network security, and related best practices.
• Experience securing container platforms (Docker, Kubernetes) and modern CI/CD toolchains (e.g., Jenkin, Tekton, GitHub actions, ArgoCD).
• Proficiency in at least one scripting/programming language (Python, Go, etc.) and strong automation skills.
• Practical familiarity with vulnerability management, scanning, threat modeling, and remediation workflows.
• Strong collaboration, communication, and documentation abilities.

• Opportunity to work with some of the smartest minds to solve complex security challenges at scale.
• Impactful role in shaping and securing a global, cloud-native & AI driven platform.
• Innovative, collaborative, and fast-paced culture.

About the role

As a SDET, you will play a critical role in shaping and executing our automation-first quality strategy across web, API and AI-driven systems.

You’ll work closely with Engineering and Product teams to ensure that quality is designed into every feature, enforced through strong automation, and protected by strict release gates. This is a hands-on, technically deep role with real ownership and impact.

What you’ll do

• Design, build, and maintain scalable automation frameworks using Playwright and SerenityJS
• Contribute to the enhancement and scalability of existing automation frameworks
• Build and maintain REST API automation using Postman or equivalent tools
• Integrate and maintain automated test execution within CI/CD pipelines (e.g., Jenkins, GitHub Actions)
• Investigate test failures, perform root cause analysis, and collaborate with engineering teams to resolve issues
• Ensure automated test coverage aligns with defined acceptance criteria and release requirements
• Participate in automation code reviews to maintain consistency, readability, and maintainability
• Support execution of regression, integration, and end-to-end test suites across environments
• Collaborate during story refinement and design discussions to identify test scenarios, risks, and edge cases
• Contribute to automation reporting, metrics, and continuous quality improvements
• Work closely with cross-functional teams to promote quality best practices

Who you are

• 2+ years of experience in QA Automation / SDET roles
• Strong hands-on experience with modern automation frameworks (Playwright preferred)
• Proficiency in JavaScript/TypeScript for building maintainable test automation
• Solid understanding of REST API testing concepts and tools such as Postman
• Experience integrating and running automated tests within CI/CD pipelines
• Familiarity with BDD practices and frameworks such as Cucumber
• Working knowledge of Git and modern version control workflows
• Experience working in containerized environments (e.g., Docker); exposure to Kubernetes is a plus
• Understanding of regression, integration, system, and end-to-end testing principles
• Ability to debug automation failures and analyze application issues effectively
• Strong communication skills and ability to collaborate with developers and product teams

Even better if you have

• Exposure to accessibility testing and understanding of WCAG principles
• Experience with visual regression or cross-browser testing
• Familiarity with cloud-native or SaaS-based platforms
• Exposure to AI-assisted testing tools or testing AI-driven features
• Experience contributing to automation dashboards or quality metrics

You will thrive in this role if

• Believe quality is a shared responsibility across Engineering, QA, and Product
• Prefer preventing defects through strong automation and release gates
• Enjoy building systems that scale, rather than relying on manual effort
• Comfortable enforcing 100% pass-rate mandates for critical workflows
• Like working on complex systems involving CI/CD, containers, and AI-driven logic
• Care deeply about reliability, trust, accessibility, and real-world user experience

OPENING:*

At Couchbase, big things happen. Every day, we’re translating vision into reality by tackling new and exciting challenges head-on. Here at Couchbase you’ll have the opportunity to learn new skills, grow your career, and work with the smartest, most passionate people in the industry.

With your passion to learn about the cloud, you are excited to help advance the Cloud Native management interfaces of an already Cloud Native Database platform.  You will be part of the team that helps set the direction and define the interfaces and components necessary to advance what it means to be a cloud native database platform. Your curiosity of the Cloud Native ecosystem will help bring Couchbase to everywhere it can add value.  Your ability to represent Couchbase’s interests in Open Source Cloud Native projects, engaging those communities as a knowledgeable expert, will further not only your company’s value, but also the value of that ecosystem. You will also be an advocate for Cloud Native tech to other subject matter experts in Couchbase Engineering. In doing so, you and Couchbase will continue to gather users, deployments and customers in the constantly growing database market.

RESPONSIBILITIES:

Implement Management Features

• Working with a team of subject matter experts and the product managers, implement a set of features integrating Couchbase with Cloud Native tech. Some of these exist already, and some have prototypes.  These include Prometheus, Fluentd and Fluent-bit, the Kubernetes Pod Autoscaler, etc.
• Be a bridge to other parts of the Engineering organization where product features interleave and depend upon each other. Keep track of delivery dates for dependent projects; partner with Quality Engineering in organizing interdependent project plans.

Support Across Lifecycle

• Contribute to and write tutorials on integration with Cloud Native ecosystem components such as Fluentd, Prometheus, Open Telemetry.
• Be an advocate to, and support Sales Engineers and Professional Services field organizations in understanding and bringing this tech to end users.
• Facilitate efficient development by the entire team through running development processes, ensuring dependent items are in place, adjusting course as needed to further improve efficiency of producing.

Partner to Product and Engineering

• Work with Product Managers, Architects and Principal Engineers in the definition and development of new features.  In particular, become a subject matter expert for the Product Management team on where the opportunities and challenges are in the Cloud Native ecosystem.
• Work across engineering teams, in some cases as a contributor or reviewer on projects and components outside your team, to help adoption of Cloud Native techniques and interfaces. 

PREFERRED QUALIFICATIONS:

• Motivated, self-learning where needed, and highly productive individual, ready to learn new technologies and become quickly proficient.
• 4+ years of Experience with software development and build automation processes (Jenkins, Github Actions)
• Expertise with Golang, Python, Docker, Kubernetes and the related ecosystems.
• Knowledge of deployment processes in the cloud (Cloud Formation, Terraform, ARM Templates, GCP Cloud Deployment Scripts)
• Experience working with a team distributed across time zones. 

MINIMUM QUALIFICATIONS:

• Desire to automate the boring stuff
• Proficient in one or more programming languages
• Passion for learning new technologies
• Demonstrable experience with Kubernetes
• Presence on GitHub (or similar)
• Strong Unix/Linux administration skills

Job Overview:

We are looking for a Senior Software Development Engineer in Test (SDET) to design and implement automated testing solutions that ensure high-quality software delivery. The role involves building test frameworks, improving CI/CD pipelines, mentoring QA engineers, and collaborating closely with developers and DevOps teams.

Key Responsibilities:​

1. Test Automation Development
• Design, develop, and maintain scalable test automation frameworks.
• Write automated tests for API, UI, integration, and performance testing.
• Implement automation using languages such as Java, Python, or JavaScript.
2. Test Strategy & Planning
• Define testing strategies for new features.
• Ensure high test coverage across applications.
• Identify test scenarios, edge cases, and failure points.
3. CI/CD Integration
• Integrate automated tests into CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions.
• Enable continuous testing in build pipelines.
4. Automation Tools
• Develop automation using tools such as:
• Selenium
• Appium
• Rest Assured
• TestNG
5. Performance & Reliability Testing
• Create performance tests using tools like Apache JMeter.
• Monitor system performance and identify bottlenecks.
6. Code Reviews & Best Practices
• Review test automation code.
• Promote best practices for maintainable and reliable tests.
7. Collaboration
• Work with developers, product managers, and DevOps teams.
• Participate in Agile ceremonies such as sprint planning and retrospectives.
8. Mentorship
• Mentor junior QA and SDET engineers.
• Guide teams on automation strategy and quality engineering practices.

Required Skills

Programming

• Strong coding skills in Java / Python / JavaScript
• Object-Oriented Programming (OOP)
• Data structures and algorithms basics

Automation

• UI automation frameworks
• API testing
• Mobile testing

Tools & Technologies

• Selenium
• Java/Python
• Appium
• Apache JMeter
• Docker

Preferred Qualifications

• 4–8 years of experience in automation testing or SDET roles
• Experience with microservices architecture
• Cloud platforms such as Amazon Web Services
• Experience with performance testing and monitoring(Nice to have).

Who are we and What do we do?
InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and content platforms are shaping consumer experience in a world of connected devices. InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Company’s 2018 World’s Most Innovative Companies. Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What can we promise?

We offer you an opportunity to work on building enterprise platforms that require you to acquire, hone and demonstrate your engineering skills in designing and solving for complex problems, thereby creating software that creates value for our customers in a very reliable, scalable, secure and AI-first manner. At InMobi, you get to work on cutting-edge technologies, work closely with business teams and grow as an overall technology leader.

Modern work environment, flexible schedule and smart, creative, down-to-earth people. Internal opportunities to move roles and try out bridge assignments with different teams. Food for your soul – free meals all days of the week, gym or Yoga class to flex those biceps, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.

What is the team like?

At InMobi Advertising, you’ll be part of a high-impact team shaping how billions of users engage with content, commerce, and brands through a global mobile advertising ecosystem. The team owns the quality of complex, rich media creatives across devices and platforms, with a strong focus on automation. As an SDET 2, you’ll build scalable automation solutions to ensure seamless ad load behavior, user interactions, and reliable end-to-end tracking, while continuously improving test coverage and release efficiency.

What do we expect from you?

• Build and maintain scalable automation frameworks for web, mobile, and API testing, ensuring high reliability and coverage.

• Drive backend, API, SDK, regression, integration, and end-to-end testing across the product stack.

• Design and execute test plans and test cases to validate product functionality and ensure complete feature coverage.

• Execute tests, document results, and identify/report defects, working closely with developers to reproduce, debug, and resolve issues.

• Integrate automation into CI/CD pipelines and take ownership of test reliability and continuous quality validation.

• Collaborate closely with Engineering, Product, UX, and DevOps teams, as well as cross-functional stakeholders such as Customer Success, Operations, and Sales, to ensure the product delivers a seamless end-to-end customer experience.

Preferred Skills: 

• 3+ years of automation  experience.

• Strong coding in Java and/or Python (OOP, debugging).

• Strong hands-on experience with Appium, REST-assured, Playwright, or equivalent modern automation tools.

• Experience testing SDKs, microservices, and REST APIs. 

• Familiarity with Git, GitHub Actions, CI/CD. 

• Exposure to cloud (AWS/GCP/Azure), Docker, and Kubernetes. 

• Working knowledge of AI/GenAI concepts applied to testing or automation. 

• Strong communication skills and an ownership mindset.

What will you be doing?

• Influence, guide, and reinforce the adoption of standards and processes across the development teams 
• Build and maintain tools for deployment, monitoring and operations 
• Implement solutions for automation of application build, test, deployment, configuration management, and orchestration 
• Implement DevOps pipeline tools in support of vertical team’s needs 
• Present a broad knowledge across various products across the DevOps spectrum 
• Document DevOps processes, procedures, and environments 
• Support Continuous Integration (CI) / Continuous Deployment (CD) and DevOps transformation initiatives under the guidance of the configuration manager/architect. 
• Contribute in developing best practices for infrastructure as code (e.g.: Terraform, Shell scripting), software build tools (Maven, Gradle, etc.) and continuous integration tools (Jenkins, Github Actions, etc.).
• Work with development and Infrastructure Teams in developing building/packaging/deployment processes for new projects. 
• We need a talented, multidisciplinary engineer who’s able to build out a continuous integration process married with a solid release strategy while having the ability to upskill other teams and advise on best practice and strategy to management.  

Roles & Responsibilities:

• Years of Experience: 6-11 years 
• Educational Qualification: B.Tech/MCA. 
• Strong coding skills in at least one programing language
• Ability to build custom tools and scripts to automate tasks and improve efficiency.
• Experience in developing and maintaining CI/CD process for enterprise SaaS and on-prem applications using tools like Git, Jenkins, Maven, Gradle, etc 
• Strong debugging/troubleshooting skills 
• Good communication skills. 
• Ability to train and develop team members.
• Have experience with agile development, design & architect.
• Hands-on knowledge on helm and Kubernetes eco-system. 
• Deal well with ambiguous/undefined problems; ability to think abstractly 

Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale and are used to build millions of real applications.

Since public launch, Emergent has reached $100M ARR in 8 months. 6M+ users across 190+ countries have built 6.5M+ applications on Emergent. We've raised $100M+, backed by Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator.

We're solving the hard part of AI-driven software creation: correctness, reliability, security, and scale in real production systems. The team is built by repeat founders, Olympiad medalists, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox.

We're hiring builders who want ownership, speed, and impact at global scale.

What You'll Be Responsible For

Platform & Infrastructure

• Maintain stability of our platform consisting of distributed microservices closely interacting with Kubernetes and cloud providers (GCP, AWS)
• Manage Kubernetes workloads with ArgoCD (GitOps) — deploy, monitor, and troubleshoot application syncs, resource trees, and rollouts
• Debug and resolve complex Kubernetes issues across clusters
• Manage CDN and edge infrastructure (Cloudflare) for performance, caching, and traffic management
• Automate infrastructure lifecycle operations and workflows

Observability & Incident Response

• Own the observability stack: Grafana (dashboards, Loki logs, Prometheus metrics), New Relic (APM, golden metrics, transaction analysis)
• Enhance monitoring, alerting, and distributed tracing across services
• Participate in on-call rotation via PagerDuty, handle incident response, and perform root cause analysis
• Proactively identify reliability risks before they become incidents

AI Agent Infrastructure

• Support the platform that runs AI agent workloads — job scheduling, trajectory tracking, environment provisioning, deployments and cost attribution
• Develop Kubernetes controllers and operators to extend platform capabilities for agent orchestration

Collaboration & Internal Tooling

• Work closely with product and backend teams to ensure platform scalability and reliability
• Build internal tools, automate workflows, and integrate systems to improve team productivity
• Stay current with Kubernetes releases, CNCF ecosystem updates, and cloud-native best practices

What We're Looking For

Core Requirements

• 3+ years of software/platform engineering experience with production systems
• Strong proficiency in Go or Python — you write production code in at least one daily
• Hands-on experience building and deploying services on Kubernetes — not just YAML, you've developed something that runs on K8s
• Experience with GitOps tooling (ArgoCD, Flux, or similar)

Systems Fundamentals

• Strong networking and DNS fundamentals — TCP/IP, HTTP, load balancing, DNS resolution, TLS, and debugging connectivity issues
• Solid Linux/OS fundamentals — process management, filesystem, memory, systemd, and comfortable debugging with tools like strace, tcpdump, and netstat

Data & Messaging Infrastructure

• Relational databases — experience with PostgreSQL, MySQL, or similar; indexing, query optimization, replication, and backup/restore procedures
• NoSQL databases — familiarity with MongoDB, DynamoDB, Redis, or similar for document/key-value workloads
• Caching — experience with Redis, Memcached, or similar for application and infrastructure-level caching
• Message queues & streaming — hands-on with Kafka, SQS, RabbitMQ, or similar for event-driven architectures
• Strong SQL skills for debugging and operational queries

Infrastructure & Observability

• Comfortable with the CNCF ecosystem — Helm, Kustomize, cert-manager, Ingress controllers, CNI/CSI interfaces
• Hands-on with at least one observability stack (Grafana/Prometheus/Loki, New Relic, Datadog, or similar)
• Familiarity with GCP and/or AWS — managed Kubernetes (GKE/EKS), networking, IAM, storage, and cloud-native services (SES, SQS, S3, etc.)
• Experience with CDN/edge platforms (Cloudflare, CloudFront, or similar)

Nice to Have

• Experience building Kubernetes Operators (kubebuilder, operator-sdk, or controller-runtime)
• Experience tuning Kubernetes core components (API server, kubelet, scheduler)
• Familiarity with AI/LLM infrastructure — token management, cost tracking, agent orchestration
• Experience with CI/CD pipelines (GitHub Actions, automated testing, deployment pipelines)
• Infrastructure as Code experience (Terraform, Pulumi, or similar)
• Previous work on large-scale distributed systems or platform-as-a-service
• Startup experience — you thrive in fast-paced, ambiguous environments

What You're Like

• You're a generalist who can context-switch between debugging a K8s deployment, setting up a Grafana alert, and configuring CDN rules — all in the same day
• You enjoy solving complex infrastructure challenges and automating away toil
• You dig deep — when something breaks, you find the root cause, not just the workaround
• You communicate clearly and can collaborate effectively in a fast-moving, distributed team

Tech Stack

We don't require previous experience with our entire stack, but enthusiasm for learning is key.

Go · Python · Kubernetes · ArgoCD · Helm · GCP · AWS · Cloudflare · Grafana · Prometheus · Loki · New Relic · PagerDuty · PostgreSQL · MongoDB · Redis · Kafka · GitHub

Why Emergent Labs

• YC S24 backed with strong investor support
• Building at the frontier of AI-powered software creation
• Small team, high ownership, real impact from day one

About the Role

We are seeking a highly skilled and passionate Platform Engineer to help redefine how infrastructure and operations are delivered to development teams. This is a role for someone moving beyond traditional DevOps into a space focused on developer enablement, tooling, and abstractions that make engineering teams more productive and self-sufficient.

As a Platform Engineer, you’ll be instrumental in designing and building internal platforms, frameworks, and interfaces (e.g., Web UIs, CLI tools, ChatOps interfaces) that abstract the complexity of infrastructure, enabling developers to focus on building features and shipping code confidently.

Key Responsibilities

• Tooling & Automation: Design, build, and maintain self-service tooling for developers—enabling them to provision infrastructure, deploy applications, and monitor systems with minimal friction.
• Abstraction & Interface Building: Create easy-to-use abstractions and interfaces (like Web UIs, chatbots, and CLIs) that simplify operational tasks and workflows.
• Infrastructure as Code (IaC): Architect and maintain scalable, repeatable infrastructure using Terraform, Pulumi, or similar tools.
• Cloud Engineering: Work deeply within cloud platforms (AWS/GCP/Azure), leveraging native services to optimize performance, cost, and scalability.
• CI/CD Systems: Build and optimize robust continuous integration and deployment pipelines that reduce lead time and improve reliability.
• API Gateways & Service Meshes: Manage API gateways, ingress controllers, and service mesh implementations for resilient, observable services.
• Observability: Establish centralized monitoring, alerting, metrics, APM, and logging solutions to ensure system reliability and developer insight.
• Cost Optimization: Implement cost management tooling and visibility features to ensure sustainable platform usage.
• Environment Management: Develop systems for ephemeral and on-demand environments to support testing, experimentation, and feature validation.
• Experimentation Frameworks: Support teams with infrastructure and tooling for A/B testing and canary deployments.
• Security & Governance: Ensure platform tools comply with organizational security policies and audit requirements.
• Developer Collaboration: Serve as a partner to engineering teams, gathering feedback, running internal demos, and iterating quickly to improve the developer experience.
  
  

What We’re Looking For

• Strong coding background in languages such as Go, Python, TypeScript, or similar.
• Hands-on experience with IaC tools (Terraform, Pulumi, AWS CDK, etc.).
• Deep knowledge of cloud environments (AWS, GCP, or Azure).
• Experience with container orchestration platforms (Kubernetes, ECS, Nomad).
• Proficient in CI/CD pipelines (Jenkins, ArgoCD, GitHub Actions, etc.).
• Familiarity with API gateways, service mesh, and rate limiting
• Solid understanding of monitoring/alerting (Prometheus, Grafana), APM tools (Datadog, New Relic), and centralized logging (ELK, Loki, or similar).
• Experience managing costs in cloud environments.
• Proven ability to build interfaces and platforms (dashboards, chatbots, CLI tools).
• Strong communication skills and ability to collaborate cross-functionally.