Why we're hiring:

To help us scale and deliver solutions across our Data Mesh platform, we are looking for a DevOps engineer who can be responsible for the deployment of our data solutions using Azure DevOps. Automation is at the core of our solutions, which spans our development, testing and production infrastructures. A focus on balancing agility, low maintenance and security is critical.

The ideal candidate will have a solid background in DevOps engineering for a large company and be highly experienced with Azure DevOps Pipelines to deploy both IaC and solutions. You’ll be working closely with our Software & Data Engineering teams - from the first lines of code being committed to it being deployed into production.

The DevOps engineer will also help design & plan projects and be involved in project execution decisions.

What you'll be doing:

• Build CI/CD process to increase release efficiency and reduce occurrence of errors.
• Develop software to integrate with internal backend systems
• Perform root cause analysis of deployment errors and provide future mitigation of those errors
• Communicate to both technical and non-technical stakeholders
• Cloud deployment and management
• CI/CD management and deployment
• Performance assessment, monitoring and recommending performance enhancements
• Infrastructure management using IaC
• Continuous testing at different stages of the development lifecycle
• Helping to implement a DevOps culture

What you'll need:

• At least 3 years’ experience as an Azure DevOps engineer
• Azure infrastructure configuration and management with at least AZ-900 certification
• Experience of designing and implementing CI/CD pipelines in Azure DevOps for web services and data products
• Scripting in Python, Bash and Powershell
• Experience with tools including Docker, Kubernetes
• Experience Azure Data Services - Data Factory, Synapse, Azure Databricks
• Experience using ARM and Terraform (Experience using Bicep an advantage)
• Experience Azure DevOps to deploy Azure Cloud Scale Analytics (Not essential)
• Problem-solving attitude
• Collaborative team spirit  

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

About Zuora

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

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

The Opportunity

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

You’ll:

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

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

About You

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

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

The Team

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

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

Benefits

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

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

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

#ZEOLife at Zuora

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

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

Our Commitment to an Inclusive Workplace

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

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

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

Required Skills and Experience:

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

Preferred skills:

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

Job Title: AI Applications Engineer II

Location: Bangalore/ Chennai, India

About the Role

We’re looking for a passionate AI Applications Engineer II to join our growing Enterprise AI Team. In this role, you’ll help manage, support, and optimize our Google Gemini Enterprise agentic AI platform, ensuring it operates securely, efficiently, and at scale across the organization.

You’ll spend most of your time focused on Gemini Enterprise platform administration, governance, and support, along with some dedicated time to enhancing/building/doing POC work on agentic and automation projects that furthers performance, user experience, and integration with Five9 enterprise systems.

If you’re driven by innovation, precision, and the opportunity to shape how AI supports a global business, this is the role for you.

Key Responsibilities

• Administer, configure, and optimize Gemini Enterprise and related AI agentic functionality to ensure seamless performance and compliance within Five9 environments.
• Manage user provisioning, license assignments, access controls, and security policies, ensuring consistency with IT, Infosec and compliance governance standards.
• Oversee appropriate Google Cloud Platform (GCP) resources — including Project services, AI/ML engine, storage, and Gemini AI models — focusing on reliability, performance, and cost management.
• Support cloud run workflows, CI/CD automation pipelines, and containerized environments, leveraging tools such as Terraform, Docker, and Kubernetes.
• Partner with data engineers, DevOps teams, and business stakeholders to troubleshoot issues, implement updates, and ensure timely support for production workloads.
• Conduct prompt engineering and workflow optimization to improve agentic AI accuracy, responsiveness, and relevance.
• Maintain and update documentation, runbooks, and best practice guides for platform operations, deployment, and support.
• Deliver training and enablement sessions to end users and power users on Gemini Enterprise capabilities and AI use cases.
• Continuously evaluate emerging Google AI and Gemini agentic technologies, recommending improvements that enhance scalability and automation.

Key Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field (AI or data systems focus preferred).
• Minimum of 3 years of GCP experience supporting or developing AI/ML solutions on Google platform.
• Hands on experience with AI/ ML solutions/apps and operational best practices (ML Ops experience is advantageous).
• Proficiency with GCP services such as Compute Engine, IAM, Kubernetes, VPC, BQ, etc.
• Experience in automation and scripting using Python, Bash, and Infrastructure as Code (IaC) tools such as Terraform or Deployment Manager.
• Familiarity with Gemini Enterprise or similar enterprise AI frameworks, including prompt engineering, AI agent configuration, and data governance.
• Strong understanding of security, compliance, and auditing practices, including DLP, Access Transparency, and data residency standards.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong interpersonal and communication abilities, with the capacity to explain technical topics to non-technical audiences.
• A passion for innovation, continuous learning, and driving impactful AI adoption across the enterprise.

Why You’ll Love Working Here

• Be part of a forward-thinking Enterprise AI Team, driving next-generation innovation across the company.
• Work hands-on with cutting-edge technologies like Google Gemini Enterprise and other agentic AI tools that power real-world business applications.
• Collaborate with skilled engineers, data scientists, and business leaders on high-visibility projects that make a measurable impact.
• Enjoy a culture that values experimentation, continuous learning, and teamwork, with opportunities to grow your skills in cloud operations and AI engineering.
• Play a key role in transforming enterprise workflows through AI innovation, scalability, and operational excellence.

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

DevOps Engineer I

We are actively seeking a DevOps Engineer to join our Cloud Engineering Application Services team. At Five9, we work in small teams and move fast to drive our products and business to the next level. We look for crucial skills in team members such as a problem-solving mindset and intellectual curiosity, along with comfortable integration into a deeply collaborative system that rewards impact.

Key Responsibilities

• Design, implementation, and automation of large-scale distributed systems

• Build tools and automation that help Five9 achieve higher availability, scalability, latency, and efficiency

• Work with Engineering teams to deliver high quality software in a fast-paced environment

• Monitor production and development environments to build preventive measures and provide a seamless customer experience

• Work with delivery teams on software improvements to achieve higher availability and lower MTTD

• Participate in on-call rotation (IST shift with every 2 weeks weekend included on call rotation)

Key Requirements

• 1–3 years of public cloud experience (GCP or AWS)

• 1–3 years of private cloud experience (Openstack, VMware ESXi)

• 1–3 years of Linux experience (Centos/Ubuntu)

• 1–3 years of networking experience

• Orchestration and management of containers using Kubernetes, Helm, GKE and Docker

• Experience with Gitlab, ArgoCD, CI/CD methodologies & tools

• Experience with Infrastructure as Code (Terraform), Python or other scripting languages

• Experience with config management tools such as Ansible and Puppet

• Experience in monitoring systems: Prometheus or LogicMonitor

• Excellent problem solving and analytical skills

• Experience with Incident Management Process, SRE best practices and continuous improvements

• Experience designing large scale distributed systems

• Strong verbal and written communications skills

• Bachelor's of Science degree in Computer Science or equivalent experience

About the Role:

We are seeking an experienced Site Reliability Engineer / Platform Engineer to join our team and help build and maintain a resilient, scalable infrastructure supporting our applications across multiple cloud providers. In this role, you will design and implement infrastructure solutions, automate operational processes, and work closely with development teams to ensure reliable, efficient systems that scale with our business.

What You'll Do:

• Design, build, and maintain infrastructure across AWS, GCP, and Azure using Infrastructure as Code (IaC) principles.
• Implement and optimize CI/CD pipelines using tools like Argo and CircleCI to enable rapid, reliable deployments.
• Manage and scale Kubernetes clusters in production environments, ensuring high availability and optimal resource utilization.
• Administer and optimize cloud databases including MongoDB, Redis, RDS, and other data stores for performance and reliability.
• Develop monitoring, alerting, and observability solutions to identify and resolve issues before they impact users.
• Automate routine operational tasks to reduce manual toil and improve system reliability.
• Conduct incident response and post-mortem analysis to drive continuous improvement.
• Collaborate with development teams to design systems with reliability, scalability, and operational excellence in mind.
• Document infrastructure architecture, runbooks, and operational procedures.
• Evaluate and implement new tools and technologies to improve platform capabilities.

What You'll Bring:

• 3+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering.
• Strong hands-on experience with at least two major cloud providers (AWS, GCP, Azure).
• Proficiency with Kubernetes for container orchestration and management.
• Demonstrated expertise with IaC tools (Terraform, CloudFormation, Pulumi, or similar).
• Experience with CI/CD platforms, particularly Argo and/or CircleCI.
• Solid understanding of database technologies including MongoDB, Redis, and relational databases (RDS).
• Proficiency in at least one programming or scripting language (Python, Go, Bash, Typescript, etc.).
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK, CloudWatch).
• Experience implementing and managing OpenTelemetry (OTEL) for distributed tracing, metrics, and logging.
• Strong understanding of networking, security, and infrastructure best practices.

Nice to Have

• Experience managing multi-cloud or hybrid cloud environments.
• Familiarity with service mesh technologies (Istio, Linkerd).
• Knowledge of security hardening and compliance in cloud environments.
• Experience with cost optimization in cloud infrastructure.
• Contributions to open-source infrastructure or DevOps projects.
• Certifications from major cloud providers.

ABOUT US

Ensono is a hybrid IT services provider that sees a world in transformation. We understand the world of business has become more complex, layered, and interdependent because we’re enabling the IT infrastructure for that transformation. Our clients are some of the most innovative and forward-thinking companies in the world and we help keep their businesses thriving. With nearly 50 years of experience, we optimize and modernize IT infrastructure by amplifying the power of mainframes and mid-range servers with the agility of cloud. Check us out at www.ensono.com.

Job Summary:
Ensono’s Cloud Consultancy team is expanding to meet increasing client demand for complex, high-value cloud transformation projects, ranging from traditional lift-and-shift migrations to advanced platform modernization (VM to PaaS or serverless). We are seeking Consultants to join our AWS team, delivering thought leadership and high-quality migration solutions for enterprise clients leveraging AWS public cloud.

We are looking for an AWS Migration Engineer / Consultant to support the migration of workloads to AWS cloud environments. You will work closely with senior architects, clients, and delivery teams to execute migration projects, deploy AWS services, implement automation, and ensure smooth transitions from on‑premises to cloud.

This role is suitable for someone with extensive hands-on AWS migration experience.

Key Responsibilities

Migration & Deployment

• Support migration projects involving servers, applications, and databases from on‑premises or private cloud to AWS.
• Participate in assessment, discovery, planning, cutover, and post‑migration optimization.
• Execute re-hosting and re-platforming activities using AWS migration tools (Application Migration Service, DMS, Migration Hub, App2Container).
• Deploy, configure, and validate AWS services and infrastructure components.

Cloud Engineering & Automation

• Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
• Contribute to CI/CD pipelines for IaC and application deployments.
• Support creation and maintenance of reusable Terraform modules and automation scripts.
• Assist in enforcing quality and security checks (tflint, Checkov, tfsec).

Operational Support & Troubleshooting

• Assist in integration, testing, and troubleshooting of AWS workloads.
• Monitor environments using CloudWatch, X-Ray, Config, and related tools.
• Support optimization efforts for cost, performance, and security.

Documentation & Collaboration

• Prepare technical documentation, runbooks, and migration playbooks.
• Participate in client workshops and provide technical inputs when required.
• Collaborate with global delivery teams and follow established cloud best practices.
• Engage in internal learning, certifications, and capability-building initiatives.

Technical Requirements

Cloud & AWS Knowledge

• Working experience with core AWS services (EC2, S3, VPC, IAM, RDS, Lambda, ECS/EKS basics).
• Understanding of AWS multi-account management, Organizations, and Control Tower (preferred).

Migration Tools & Methods

• Familiarity with at least one AWS migration tool:
• Application Migration Service
• Database Migration Service (DMS)
• Migration Hub
• App2Container
• Understanding of migration approaches (re-host, re-platform, refactor basics).

Infrastructure as Code & Automation

• Hands-on experience with Terraform or CloudFormation.
• Basic knowledge of CI/CD concepts and tools (GitHub Actions, CodePipeline, Jenkins).
• Scripting proficiency in Python, Bash, or PowerShell.

Containers & Modernization (Nice to Have)

• Exposure to Docker, Kubernetes (EKS), or AWS serverless services like Lambda.
• Monitoring, Security & Governance
• Understanding of AWS monitoring and security tools (CloudWatch, Config, GuardDuty).
• Awareness of IAM best practices and least privilege principles.

Non-Technical Requirements

• Strong problem-solving and analytical skills.
• Good communication skills with the ability to interact with clients and team members.
• Self-driven, eager to learn, and capable of working collaboratively in global teams.
• Organized and able to handle multiple tasks in fast-paced environments.
• High integrity, professionalism, and attention to detail.

Industry Qualifications:

• 5+ years in technology consulting leadership roles.
• 4+ years in AWS technology planning and implementation, with a track record of leading large-scale AWS projects.
• Bachelor’s Degree (BE) in a related field required; Master’s Degree preferred.

Certifications:

• AWS Solutions Architect –Professional
• AWS DevOps Engineer – Associate / Professional
• HashiCorp Terraform Associate

Shift Timing

1:30 PM to 10:30 PM and 5:30 PM to 2:00 AM(Flexible to work in both the shift)

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request

ABOUT US

Ensono is a hybrid IT services provider that sees a world in transformation. We understand the world of business has become more complex, layered, and interdependent because we’re enabling the IT infrastructure for that transformation. Our clients are some of the most innovative and forward-thinking companies in the world and we help keep their businesses thriving. With nearly 50 years of experience, we optimize and modernize IT infrastructure by amplifying the power of mainframes and mid-range servers with the agility of cloud. Check us out at www.ensono.com.

Job Summary:
Ensono’s Cloud Consultancy team is expanding to meet increasing client demand for complex, high-value cloud transformation projects, ranging from traditional lift-and-shift migrations to advanced platform modernization (VM to PaaS or serverless). We are seeking Consultants to join our AWS team, delivering thought leadership and high-quality migration solutions for enterprise clients leveraging AWS public cloud.

We are looking for an AWS Migration Engineer / Consultant to support the migration of workloads to AWS cloud environments. You will work closely with senior architects, clients, and delivery teams to execute migration projects, deploy AWS services, implement automation, and ensure smooth transitions from on‑premises to cloud.

This role is suitable for someone with extensive hands-on AWS migration experience.

Key Responsibilities

Migration & Deployment

• Support migration projects involving servers, applications, and databases from on‑premises or private cloud to AWS.
• Participate in assessment, discovery, planning, cutover, and post‑migration optimization.
• Execute re-hosting and re-platforming activities using AWS migration tools (Application Migration Service, DMS, Migration Hub, App2Container).
• Deploy, configure, and validate AWS services and infrastructure components.

Cloud Engineering & Automation

• Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
• Contribute to CI/CD pipelines for IaC and application deployments.
• Support creation and maintenance of reusable Terraform modules and automation scripts.
• Assist in enforcing quality and security checks (tflint, Checkov, tfsec).

Operational Support & Troubleshooting

• Assist in integration, testing, and troubleshooting of AWS workloads.
• Monitor environments using CloudWatch, X-Ray, Config, and related tools.
• Support optimization efforts for cost, performance, and security.

Documentation & Collaboration

• Prepare technical documentation, runbooks, and migration playbooks.
• Participate in client workshops and provide technical inputs when required.
• Collaborate with global delivery teams and follow established cloud best practices.
• Engage in internal learning, certifications, and capability-building initiatives.

Technical Requirements

Cloud & AWS Knowledge

• Working experience with core AWS services (EC2, S3, VPC, IAM, RDS, Lambda, ECS/EKS basics).
• Understanding of AWS multi-account management, Organizations, and Control Tower (preferred).

Migration Tools & Methods

• Familiarity with at least one AWS migration tool:
• Application Migration Service
• Database Migration Service (DMS)
• Migration Hub
• App2Container
• Understanding of migration approaches (re-host, re-platform, refactor basics).

Infrastructure as Code & Automation

• Hands-on experience with Terraform or CloudFormation.
• Basic knowledge of CI/CD concepts and tools (GitHub Actions, CodePipeline, Jenkins).
• Scripting proficiency in Python, Bash, or PowerShell.

Containers & Modernization (Nice to Have)

• Exposure to Docker, Kubernetes (EKS), or AWS serverless services like Lambda.
• Monitoring, Security & Governance
• Understanding of AWS monitoring and security tools (CloudWatch, Config, GuardDuty).
• Awareness of IAM best practices and least privilege principles.

Non-Technical Requirements

• Strong problem-solving and analytical skills.
• Good communication skills with the ability to interact with clients and team members.
• Self-driven, eager to learn, and capable of working collaboratively in global teams.
• Organized and able to handle multiple tasks in fast-paced environments.
• High integrity, professionalism, and attention to detail.

Industry Qualifications:

• 5+ years in technology consulting leadership roles.
• 4+ years in AWS technology planning and implementation, with a track record of leading large-scale AWS projects.
• Bachelor’s Degree (BE) in a related field required; Master’s Degree preferred.

Certifications:

• AWS Solutions Architect –Professional
• AWS DevOps Engineer – Associate / Professional
• HashiCorp Terraform Associate

Shift Timing

1:30 PM to 10:30 PM and 5:30 PM to 2:00 AM(Flexible to work in both the shift)

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request

Ensono’s Cloud Consultancy team is expanding to meet increasing client demand for complex, high-value cloud transformation projects, ranging from traditional lift-and-shift migrations to advanced platform modernization (VM to PaaS or serverless). We are seeking Consultants to join our AWS team, delivering thought leadership and high-quality migration solutions for enterprise clients leveraging AWS public cloud.

We are looking for an AWS Migration Engineer / Consultant to support the migration of workloads to AWS cloud environments. You will work closely with senior architects, clients, and delivery teams to execute migration projects, deploy AWS services, implement automation, and ensure smooth transitions from on‑premises to cloud.

This role is suitable for someone with extensive hands-on AWS migration experience.

Key Responsibilities

Migration & Deployment

• Support migration projects involving servers, applications, and databases from on‑premises or private cloud to AWS.
• Participate in assessment, discovery, planning, cutover, and post‑migration optimization.
• Execute re-hosting and re-platforming activities using AWS migration tools (Application Migration Service, DMS, Migration Hub, App2Container).
• Deploy, configure, and validate AWS services and infrastructure components.

Cloud Engineering & Automation

• Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
• Contribute to CI/CD pipelines for IaC and application deployments.
• Support creation and maintenance of reusable Terraform modules and automation scripts.
• Assist in enforcing quality and security checks (tflint, Checkov, tfsec).

Operational Support & Troubleshooting

• Assist in integration, testing, and troubleshooting of AWS workloads.
• Monitor environments using CloudWatch, X-Ray, Config, and related tools.
• Support optimization efforts for cost, performance, and security.

Documentation & Collaboration

• Prepare technical documentation, runbooks, and migration playbooks.
• Participate in client workshops and provide technical inputs when required.
• Collaborate with global delivery teams and follow established cloud best practices.
• Engage in internal learning, certifications, and capability-building initiatives.

Technical Requirements

Cloud & AWS Knowledge

• Working experience with core AWS services (EC2, S3, VPC, IAM, RDS, Lambda, ECS/EKS basics).
• Understanding of AWS multi-account management, Organizations, and Control Tower (preferred).

Migration Tools & Methods

• Familiarity with at least one AWS migration tool:
• Application Migration Service
• Database Migration Service (DMS)
• Migration Hub
• App2Container
• Understanding of migration approaches (re-host, re-platform, refactor basics).

Infrastructure as Code & Automation

• Hands-on experience with Terraform or CloudFormation.
• Basic knowledge of CI/CD concepts and tools (GitHub Actions, CodePipeline, Jenkins).
• Scripting proficiency in Python, Bash, or PowerShell.

Containers & Modernization (Nice to Have)

• Exposure to Docker, Kubernetes (EKS), or AWS serverless services like Lambda.
• Monitoring, Security & Governance
• Understanding of AWS monitoring and security tools (CloudWatch, Config, GuardDuty).
• Awareness of IAM best practices and least privilege principles.

Non-Technical Requirements

• Strong problem-solving and analytical skills.
• Good communication skills with the ability to interact with clients and team members.
• Self-driven, eager to learn, and capable of working collaboratively in global teams.
• Organized and able to handle multiple tasks in fast-paced environments.
• High integrity, professionalism, and attention to detail.

Industry Qualifications:

• 5+ years in technology consulting leadership roles.
• 4+ years in AWS technology planning and implementation, with a track record of leading large-scale AWS projects.
• Bachelor’s Degree (BE) in a related field required; Master’s Degree preferred.

Certifications:

• AWS Solutions Architect –Professional
• AWS DevOps Engineer – Associate / Professional
• HashiCorp Terraform Associate

"We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request."

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

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

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

Overview

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What we offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

About Zuora

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

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

The Opportunity

We’re hiring a Senior Site Reliability Engineer to lead reliability strategy and drive AI-powered automation at scale. This role involves owning complex systems, shaping architecture, and influencing cross-functional teams.

You’ll:

• Define and evolve SLOs, SLIs, and resilience patterns
• Build AI-driven automation for detection, remediation, and forecasting
• Lead cloud infrastructure and Kubernetes platforms
• Drive incident response and operational excellence
• Mentor engineers and influence org-wide reliability practices

About You

• 8+ years of hands-on experience in Site Reliability Engineering, DevOps, or large-scale production operations.
• Advanced expertise in AWS, including architecture design across services such as EC2, EKS, VPC, IAM, RDS, S3, and CloudWatch.
• Deep experience with Infrastructure-as-Code using Terraform, including complex modules, state management, and governance.
• Strong programming and automation skills using Python and Shell; experience building production-grade automation systems.
• Expert-level Linux systems knowledge, including performance tuning, security hardening, and deep troubleshooting.
• Proven experience operating distributed systems and data streaming platforms such as Kafka in high-throughput environments.
• Demonstrated ability to work independently on complex, ambiguous problems with broad organizational impact.
• Proven technical leadership experience driving large, cross-team reliability or infrastructure initiatives, including setting technical direction, influencing design decisions, and mentoring engineers to deliver measurable outcomes at scale.

AI & Automation Expertise

• Practical experience designing or implementing AI/ML-driven automation in operations, reliability, or platform engineering.
• Experience integrating AI capabilities into monitoring, alerting, incident response, or workflow automation systems.
• Strong understanding of how AI can be safely and effectively applied in production environments.

Nice to haves:

• Experience with advanced observability platforms (Prometheus, Grafana, ELK, or similar) enhanced with AI-driven insights.
• Familiarity with predictive analytics, anomaly detection, or AIOps platforms.
• Experience influencing architectural decisions at a platform or product level.
• Prior experience operating in a 24/7, global, high-availability SaaS environment.

The Team

Zuora's Cloud Engineering team ensures the reliability, scalability, and operational excellence of global SaaS platforms, operating 24x7 with a follow-the-sun model. The team collaborates closely with Engineering, Security,Product, and Support, leveraging technologies like AWS,Kubernetes, Kafka,Terraform, and Python, with a strong focus on AI-driven operations and automation.

Benefits

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

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

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

#ZEOLife at Zuora

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

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

Our Commitment to an Inclusive Workplace

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

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

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

Why we're hiring:

WPP Media is embarking on a transformative data journey through Databridge—our internal comprehensive data strategy and framework designed to unify our fragmented global data landscape. We are moving from isolated, market-specific implementations to a standardized, scalable, cloud-agnostic, and AI-ready data platform built on a modern tech stack: dbt, Databricks, Python (dlthub), and GitHub Actions. 

 As Data Operations Lead, you will establish and head our new Data Integration & Operations team in Chennai. This is a build-and-run role: you'll define how the team operates while leading day-to-day delivery of operational excellence across global data products. 

 You will be the custodian of production—owning the operational layer including CI/CD automation, deployment pipelines, monitoring, data quality enforcement, incident management, and support. This role requires deep technical knowledge of Databricks and modern data platforms, alongside the ability to lead, mentor, and scale a growing team.

What you'll be doing:

Technical Ownership & Execution 

• Lead the team responsible for data integration, orchestration, and platform operations across Azure and GCP environments 

• Build and maintain automated CI/CD pipelines using GitHub Actions and Databricks Asset Bundles for data workflows 

• Design platform-wide monitoring, logging, and alerting covering pipeline execution, data quality, SLA compliance, and cost 

• Manage production deployments and own centralized job orchestration via Databricks Jobs/Workflows (scheduling, dependencies, retries, notifications) 

• Implement comprehensive data quality testing and validation using dbt's testing framework and custom checks 

Operational Standardization 

• Create and roll out standard operating procedures, runbooks, onboarding guides, and automation patterns 

• Establish reusable deployment frameworks and project templates for consistent implementation across markets 

• Build and maintain the Central Data Solution Repository with reusable assets (dlthub pipelines, dbt models, tests, macros) 

• Define repeatable deployment patterns ensuring standards and best practices are followed globally 

Platform Support & Governance 

• Set up and manage SLAs, incident workflows, and escalation models 

• Proactively identify and resolve operational risks in cloud-based data platforms 

• Partner with DevOps to leverage Databricks Unity Catalog for governance, access control, and lineage 

• Enforce data quality standards and governance policies embedded within pipeline code 

Team Leadership 

• Lead and mentor the Data Integration & Operations team in Chennai 

• Shape the team's operating model, priorities, and capabilities 

• Act as subject matter expert and escalation point for technical operations 
• Facilitate regular retrospectives to drive continuous improvement and optimize processes 
• Collaborate with Data Engineering, DevOps, and Product teams globally 

What you'll need:

Experience 

• 7+ years in data operations, platform engineering, or data engineering with hands-on production experience 

• 3+ years in technical leadership or team lead capacity, with proven ability to build and scale teams 
• Demonstrated experience establishing DataOps practices and operational frameworks from the ground up 

Technical Expertise 

• Deep, hands-on experience with Databricks platform, specifically: 

• Databricks SQL Warehouses, Unity Catalog, Jobs/Workflows 

• Databricks Asset Bundles for Infrastructure as Code 

• Delta Lake performance optimization 

• Strong proficiency with dbt (Core): project structure, macros, tests, documentation, CI/CD integration, production troubleshooting 

• Expert-level cloud platform knowledge (Azure and/or GCP): 

• Object storage (ADLS/GCS), secret management (Key Vault/Secret Manager) 

• Infrastructure as Code (Terraform) 

• CI/CD mastery with GitHub Actions: workflow design, secrets management, automated testing and deployment 

• Proficient in Python for automation and scripting (experience with dlthub is a major plus) 

• Strong SQL skills for data validation, quality testing, and troubleshooting 

Operational & Leadership Skills 

• Proven ability to design operational frameworks: monitoring, alerting, incident management, SLA tracking 

• Experience managing production data platforms with high uptime requirements 

• Excellent communication skills with ability to articulate technical concepts to diverse audiences 
• Strong documentation skills and commitment to knowledge sharing 

• Preferred Skills 

  • Experience working in multi-cloud environments (Azure + GCP) 
  • Familiarity with Power BI or similar BI platforms 
  • Understanding of FinOps practices for cloud cost optimization

Who Should Apply 

 This role is ideal for candidates with: 

• Real, hands-on project experience building and running production data platforms at scale 

• Proven leadership in establishing DataOps practices and growing high-performing teams 

• Deep technical expertise in the Databricks ecosystem and modern data stack 

• Entrepreneurial mindset—comfortable with ambiguity and building systems from the ground up 

 This role is not a fit if your experience is primarily theoretical, course-based, or lacks production-grade exposure to the core technologies outlined above. 

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

• Strong experience creating and deploying cloud infrastructure on Azure, AWS, and GCP
• Understanding of Python and Docker for developing web APIs
• Understanding of deploying solutions to Kubernetes.
• Familiarity with serverless technologies across functions, queues, file storage, API management, and key‑value stores
• Experience with integration patterns and working with various APIs
• Knowledge of DevOps principles and Git, preferably with experience in modern techniques such as monorepos
• Proficiency in Infrastructure‑as‑Code languages such as Terraform and CloudFormation
• Understanding of design patterns for building scalable and efficient systems
• A quality‑driven, test‑first mindset
• Excellent written and verbal communication skills
• Familiarity with Diagrams‑as‑Code for documenting infrastructure architecture is a plus
• Understanding of modern authentication protocols such as OAuth2 and OIDC
• Consideration of cross‑cutting concerns like observability and security in infrastructure design
• Contributions to open‑source projects are a plus

Summary: We are seeking a Lead Software Engineer (LSE) to drive the design and evolution of our cloud-native platform. This role is responsible for owning end-to-end platform capabilities, shaping architectural direction, and ensuring high standards of scalability, reliability, and developer experience. As a Lead Engineer, you will operate at the intersection of architecture, execution, and team leadership, working across squads to build cohesive and future-ready platform solutions.

Responsibilities:

• Develop platform features to the highest engineering standards with an AI-first mindset.
• Spike robust solutions to clear architectural runway ahead of platform feature development.
• Take a high degree of personal responsibility for the overall technical performance of the team, including capabilities, quality, stability, and velocity.
• Perform code reviews that provide feedback not only on code quality but also on design and implementation.
• Identify opportunities for code refactoring and performance optimizations regularly and champion these efforts within the team.
• Mentor junior software engineers by sharing best practices and providing guidance on becoming more proficient.
• Identify technical constraints to engineering effectiveness and lead initiatives to address them.
• Advise product management on technical opportunities and constraints.
• Identify, understand, and bring to fruition technology trends and innovations relevant to Appian Platform.
• Effectively communicate technical designs verbally, visually, and/or in writing for small to large-sized technical audiences.
• Contribute to Appian's long-term documentation by publishing relevant, high-quality content to Engineering's technical documentation site.

Required Skills:

• 12+ years of proven experience as a Lead Engineer with a strong focus on AWS.
• Deep hands-on experience with AWS services including Compute (EC2, Auto Scaling, EKS, ECS, Lambda), Networking (VPC, ALB/NLB, Route 53, PrivateLink), Storage (EBS, EFS, S3), and Security (IAM, KMS, Secrets Manager).
• Experience with Java, Python, or GoLang programming languages.
• Strong proficiency in Infrastructure as Code - Terraform or any equivalent.
• Strong proficiency in Kubernetes.
• Experience with implementing and managing logging and monitoring solutions (e.g., CloudWatch, CloudTrail).
• Demonstrated ability to track, analyze, and optimize AWS cloud costs.
• Excellent problem-solving and communication skills.
• Ability to work independently and as part of a team in a fast-paced environment.

We are looking for a Principal Software Engineer with deep expertise in AWS and Infrastructure as Code (IaC) to design, build, and scale highly reliable cloud platforms. This role will be responsible for defining infrastructure architecture, driving automation-first practices, and mentoring engineers while delivering secure, scalable, and cost-effective cloud solutions.

You will work closely with platform, security, SRE, and product teams to enable self-service, zero-touch infrastructure provisioning and improve developer velocity across the organization.

Summary:
The Principal Software Engineer will leverage their expertise in AWS and Infrastructure as Code (IaC) to design, build, and scale highly reliable cloud platforms. This role is pivotal in defining infrastructure architecture, promoting automation-first practices, and mentoring engineers to deliver secure, scalable, and cost-effective cloud solutions. The successful candidate will collaborate with platform, security, SRE, and product teams to facilitate self-service, zero-touch infrastructure provisioning, enhancing developer velocity across the organization.

Responsibilities:

• Design and own cloud infrastructure architectures on AWS using Infrastructure as Code.
• Lead the development of reusable, versioned IaC modules and frameworks.
• Build and maintain infrastructure using tools such as Terraform, CloudFormation, CDK, and Ansible.
• Implement CI/CD pipelines for infrastructure provisioning and change management.
• Drive immutable infrastructure and automated environment lifecycle management.
• Define best practices for scalability, availability, security, and cost optimization.
• Review architecture designs and code to ensure high quality and maintainability.
• Enable self-service provisioning for internal teams.
• Design secure, compliant environments following least privilege and defense-in-depth principles.
• Mentor junior software engineers and share expert knowledge across the department.
• Identify opportunities for code refactoring and performance optimizations.
• Advise product management on technical opportunities and constraints.
• Collaborate with architects to promote consistency and advance Appian's technology state.
• Contribute to Appian's long-term documentation with high-quality content.

Required Skills:

• Deep expertise with AWS services including EC2, Auto Scaling, EKS, ECS, Lambda, VPC, ALB/NLB, Route 53, PrivateLink, EBS, EFS, S3, IAM, KMS, and Secrets Manager.
• 15+ years of experience in designing and implementing cloud infrastructure architectures.
• Strong understanding of cost optimization and cloud economics.
• Experience supporting regulated environments (SOC2, FedRAMP, HIPAA, etc.).
• Experience with Kubernetes (EKS) and containerized workloads.
• Familiarity with GitOps workflows.
• Proven leadership skills and the ability to mentor and develop engineering talent.
• Excellent communication skills for articulating technical designs to varied audiences.

Appian’s Information Security department is currently seeking a Senior IT Engineer eager to be hands-on and involved in many different areas of  responsibility. . As a Senior IT Engineer, you’ll also collaborate with infrastructure technology peers and handle business solutions for the company’s network infrastructure. The ideal candidate should have a track record of using a diverse set of technologies to achieve business goals.

Required Experience:

• 6 - 9 years In-depth understanding of networking protocols, technologies, and concepts (TCP/IP, VLANs, routing, switching, subnetting, etc.)

• Experience designing, implementing and maintaining wireless infrastructure. Troubleshooting wireless related issues, optimizing coverage, capacity and wireless performance. 

• Strong knowledge and hands-on experience with RADIUS, IDPs (e.g., SAML, OAuth, OpenID Connect), LDAP, and other AAA-related protocols and systems.

• Understanding of security principles, including multifactor authentication (MFA), encryption, and vulnerability management.

• You have experience with scripting and automation tools that manage network and infrastructure configuration changes (preferably using source control)l. Automating your way out of a repetitive task is second nature. Familiarity with languages such as Python and IaC or infrastructure automation systems such as Ansible and Terraform are a significant plus.

• Experience with network monitoring and troubleshooting tools.

• You have an ability to approach problems from unconventional angles, offering unique perspectives

• You have a forward-thinking mindset, forecasting potential problems and following developing technological trends

• A BS in Computer Science or related field/degree or equivalent experience

Responsibilities:

• Plan and lead LAN, WAN, network security, and systems projects across diverse technology platforms including multi-vendor wired (enterprise switches, routers and firewalls) and wireless networks, VPNs, VOIP, etc across a hybrid global infrastructure footprint.

• Internal certificate and certificate authority management. Configuring and managing radius server in a High Availability (HA) environment

• Designing and implementing global wireless Infrastructure. Managing and maintaining tools to enhance wireless performance

• Managing, implementing, and integrating RADIUS, IDPs, LDAP, and other AAA-related protocols and systems.

• Leverage both cloud (AWS, Azure, GCP) and physical network/compute infrastructure to find creative solutions to complex problems

• Automate cloud infrastructure deployment and management using Infrastructure as Code (e.g. Terraform, CloudFormation) and scalable automation tools such as Ansible

• Respond to and resolve emergent problems across our diverse enterprise systems, from the physical layer to the application layer

• Utilize best practices based on various frameworks (e.g. ITIL, ISO, SOC, PCI) and support internal and external audit activities

• You’ll use the know-how and discerning standards you’ve acquired over years of experience to recommend emerging technologies to keep our network modern, innovative, and secure

• Collaborate with teams of fellow tech gurus and play an integral part of network and systems design, architecture and administration

Summary: We are looking for a Senior Software Engineer (SSE) to join our Platform Engineering team. This role focuses on building scalable platform capabilities, improving developer experience, and driving operational excellence across cloud-native systems. As an SSE, you will contribute to the design and development of platform components, work closely with architects and lead engineers, and play a key role in ensuring high-quality, reliable, and efficient platform solutions.

Responsibilities:

• Design and develop platform features with a focus on scalability, reliability, and reusability.
• Contribute to implementation of platform capabilities such as self-service infrastructure, deployment automation, and service configuration systems.
• Collaborate with Lead Engineers and Architects to translate high-level designs into working solutions and provide feedback on feasibility and trade-offs.
• Write clean, maintainable, and well-tested code following engineering best practices.
• Participate in code reviews and incorporate feedback to improve code quality.
• Troubleshoot production issues and contribute to root cause analysis and resolution.
• Contribute to improving system performance, reliability, and developer experience.
• Support and enhance observability, monitoring, and alerting systems.
• Assist in identifying and addressing technical debt.
• Contribute to automation initiatives to improve team productivity.

Required Skills:

• 6–9 years of software engineering experience, with strong exposure to cloud-native platforms.
• Solid hands-on experience with AWS, including Compute (EC2, Auto Scaling, EKS/ECS, Lambda), Networking (VPC, ALB/NLB, Route 53), Storage (EBS, EFS, S3), and Security (IAM, KMS, Secrets Manager).
• Strong programming skills in Java / Python / Go.
• Proficiency in Infrastructure as Code (Terraform or equivalent).
• Hands-on experience with Kubernetes (deployment, troubleshooting, scaling).
• Experience with CI/CD pipelines and deployment automation.
• Familiarity with observability tools (e.g., CloudWatch, logging, monitoring systems).
• Good understanding of distributed systems and microservices architecture.
• Exposure to cloud cost optimization practices is a plus.
• Strong debugging and problem-solving skills.

We are looking for a Senior Software Engineer (SSE) to join our Platform Engineering team. This role focuses on building scalable platform capabilities, improving developer experience, and driving operational excellence across cloud-native systems.

As an SSE, you will contribute to the design and development of platform components, work closely with architects and lead engineers, and play a key role in ensuring high-quality, reliable, and efficient platform solutions.

Required Skills

• 6–9 years of software engineering experience, with strong exposure to cloud-native platforms.
• Solid hands-on experience with AWS, including:
• Compute: EC2, Auto Scaling, EKS/ECS, Lambda
• Networking: VPC, ALB/NLB, Route 53
• Storage: EBS, EFS, S3
• Security: IAM, KMS, Secrets Manager
• Strong programming skills in Java / Python / Go.
• Proficiency in Infrastructure as Code (Terraform or equivalent).
• Hands-on experience with Kubernetes (deployment, troubleshooting, scaling).
• Experience with CI/CD pipelines and deployment automation.
• Familiarity with observability tools (e.g., CloudWatch, logging, monitoring systems).
• Good understanding of distributed systems and microservices architecture.
• Exposure to cloud cost optimization practices is a plus.
• Strong debugging and problem-solving skills.

Responsibilities

• Design and develop platform features with a focus on scalability, reliability, and reusability.
• Contribute to the implementation of platform capabilities such as:
• self-service infrastructure
• deployment automation
• service configuration systems
• Collaborate with Lead Engineers and Architects to:
• translate high-level designs into working solutions
• provide feedback on feasibility and trade-offs
• Write clean, maintainable, and well-tested code following engineering best practices.
• Participate in code reviews and incorporate feedback to improve code quality.
• Troubleshoot production issues and contribute to root cause analysis and resolution.
• Contribute to improving system performance, reliability, and developer experience.
• Support and enhance observability, monitoring, and alerting systems.
• Assist in identifying and addressing technical debt.
• Contribute to automation initiatives to improve team productivity.

As a Senior Software Engineer in our Engineering Enablement Group, you will lead the re-design and evolution of our Mobile Branding framework — the system that enables customers to create custom-branded versions of the Appian mobile application for both iOS and Android. You will drive the architectural modernization of the end-to-end branding pipeline, from the customer-facing Forum application and provisioning tools to the backend build service running on Mac EC2 runners in AWS.

By leveraging modern microservices, CI/CD automation, and cloud-native infrastructure, you will transform the current system into a more reliable, scalable, and maintainable platform that reduces manual intervention and accelerates customer delivery. We are looking for a technical leader who can bridge the gap between complex Ruby/Bash-based tooling, Appian process models, and AWS infrastructure to deliver a seamless mobile branding experience.

Primary Qualifications:

• 6-9 Strong working experience with Android and iOS frameworks and mobile application development workflows.
• Familiarity with mobile build systems (Fastlane, Xcode, Gradle) and code-signing workflows.
• Experience with proficiency in Python, with experience in Ruby, Bash, or Go being a plus.
• Advanced experience with AWS infrastructure (S3, Lambda, EC2) and CI/CD pipeline design.
• Strong end-to-end knowledge of pipeline creation, deployment automation, and infrastructure-as-code (Terraform).
• Familiarity with monitoring, observability, and performance tools.

To be successful in this role, you need:

• Architecture & Design: Ability to lead the re-design of the mobile branding pipeline across customer tools, the Forum application, and the backend build service — ensuring reliability, scalability, and fault tolerance.
• Build System Mastery: Deep understanding of mobile build systems, code-signing workflows (iOS provisioning, Android signing), and CI/CD pipelines that automate the full build lifecycle.
• DevOps Ownership: A "builder" mindset toward end-to-end CI/CD pipelines, infrastructure-as-code, and deployment automation across AWS (S3, Lambda, EC2).
• Strategic Problem Solving: Strong debugging skills to resolve complex distributed systems issues across Forum process models, GitLab pipelines, and cloud infrastructure — paired with the ability to mentor teams and lead cross-functional initiatives.
• Product-Centric Engineering: Experience building software in an enterprise SaaS environment with a focus on delivering direct value to customers through automation and tooling.

Summary: We are seeking a Lead Software Engineer (LSE) to drive the design and evolution of our cloud-native platform. This role is responsible for owning end-to-end platform capabilities, shaping architectural direction, and ensuring high standards of scalability, reliability, and developer experience. As a Lead Engineer, you will operate at the intersection of architecture, execution, and team leadership, working across squads to build cohesive and future-ready platform solutions.

Responsibilities:

• Develop platform features to the highest engineering standards with an AI-first mindset.
• Spike robust solutions to clear architectural runway ahead of platform feature development.
• Take personal responsibility for the overall technical performance of the team, including capabilities, quality, stability, and velocity.
• Perform code reviews focusing on code quality, design, and implementation.
• Regularly identify opportunities for code refactoring and performance optimizations, and champion these efforts within the team.
• Mentor junior software engineers by sharing best practices and providing guidance on proficiency.
• Identify technical constraints to engineering effectiveness and lead initiatives to address them.
• Advise product management on technical opportunities and constraints.
• Identify, understand, and implement technology trends and innovations relevant to the Appian Platform.
• Effectively communicate technical designs verbally, visually, and in writing for technical audiences of all sizes.
• Contribute to Appian's long-term documentation by publishing relevant, high-quality content to the Engineering's technical documentation site.

Required Skills:

• 12+ years of proven experience as a Lead Engineer with a strong focus on AWS.
• Deep hands-on experience with AWS services including EC2, Auto Scaling, EKS, ECS, Lambda, VPC, ALB/NLB, Route 53, PrivateLink, EBS, EFS, S3, IAM, KMS, and Secrets Manager.
• Experience with programming languages such as Java, Python, or GoLang.
• Strong proficiency in Infrastructure as Code using Terraform or any equivalent.
• Strong proficiency in Kubernetes.
• Experience with implementing and managing logging and monitoring solutions such as CloudWatch and CloudTrail.
• Demonstrated ability to track, analyze, and optimize AWS cloud costs.
• Excellent problem-solving and communication skills.
• Ability to work independently and as part of a team in a fast-paced environment.

Team

The Devops Engineer would be an active member within the Voice Application Services team, responsible for providing automation and test support for the SW releases of Five9.

Key Responsibilities

• Design, implement, and maintain infrastructure as code using tools like Ansible and Terraform
• Build and manage scalable cloud infrastructure on AWS and GCP
• Develop and maintain CI/CD pipelines using platforms such as GitLab CI/CD, or similar
• Automate deployment, monitoring, and operational workflows across distributed systems
• Collaborate with Development, QA, and Operations teams to ensure seamless delivery and high system reliability
• Monitor system performance, troubleshoot issues, and implement solutions to improve availability and scalability
• Develop and maintain reusable automation modules and frameworks
• Identify inefficiencies in existing processes and drive improvements in automation and operational workflows
• Work with REST APIs and integrate services across systems and platforms
• Leverage AI-assisted coding tools such as Claude Code or GitHub Copilot to improve productivity and code quality
• Support and manage voice infrastructure components, including protocols such as SIP (Session Initiation Protocol) and RTP (Real-time Transport Protocol)

Qualifications & Skills

• 3+ years of experience in DevOps, SRE, or infrastructure engineering roles (preferably in telecom, SaaS, or service provider environments)
• Hands-on experience with Ansible and Terraform, including writing and maintaining reusable modules
• Strong experience with cloud platforms such as AWS and GCP
• Proficiency in Unix/Linux systems, including CLI-based administration and shell scripting
• Solid understanding of CI/CD pipelines (GitLab, or similar)
• Demonstrated understanding of AI-assisted development tools (e.g., Claude Code, GitHub Copilot)
• Familiarity with voice technologies and protocols such as SIP and RTP
• Strong troubleshooting, debugging, and problem-solving skills
• Excellent written and verbal communication skills in English
• Ability to work effectively in distributed, cross-functional teams

Role Overview

Our team loves technology as much as you do. We are looking for an experienced, high-energy senior quality engineer for our Digital team based in India.

You will have ownership of engineering design, coding, and implementation of Cloud Test Platform CI/CD automation. This includes tools and frameworks necessary to support testing and release builds. You will apply your technical knowledge, leadership skills, software development methodologies, best practices, and proven processes to consistently deliver a great quality product in a predictable manner.

The role is also an ambassador of quality engineering principles in collaboration with developers and product owners. The main goal of this role is to develop code test scenarios in a Cloud/Java/Terraform environment. This role will define test processes and goals together with development architects and ensure test plans are appropriate, including the review of plans done by developers. This role will also assist in the definition and creation of tests and scripts to support customer journey scenarios for contact center features.

Qualifications & Skills

• Ownership of engineering design, coding, and implementation of Cloud Test Platform CI/CD automation
• Tools and frameworks necessary to support testing and release builds
• Technical knowledge, leadership skills, software development methodologies, best practices, and proven processes to consistently deliver a great quality product in a predictable manner
• Ambassador of quality engineering principles in collaboration with developers and product owners
• Develop code test scenarios in a Cloud/Java/Terraform environment
• Define test processes and goals together with development architects and ensure test plans are appropriate, including the review of plans done by developers
• Assist in the definition and creation of tests and scripts to support customer journey scenarios for contact center features
• Ability to think quickly, with the ability to make decisions with incomplete data
• Bring energy, positivity, and drive to your team

Key Responsibilities

• Design and code test solutions around the Cloud Platform environment with test-as-infrastructure principles
• Champion, design, and implement web accessibility testing strategies and automation to ensure products meet WCAG and other accessibility standards
• Lead Quality and Automation initiatives across multi-disciplinary teams, coordinating process definition, best practices, and efficient usage of infrastructure
• Participate in Agile software development initiatives (standup, planning, and Increment planning) to support innovation and enhancement of automation frameworks and tools through iteration/functionality testing
• Work closely with operations and sustaining teams to ensure platform availability
• Build sustainable engineering practices through, among other things, active code reviews, architecture discussions, guided by the selection of technologies, and mentorship
• Ensure continuous resource utilization and drive continuous efficiency improvements

Job Description

Key Responsibilities

• Own end-to-end delivery of CI/CD pipelines, infrastructure as code, and deployment automation workflows. 
• Collaborate with application, infrastructure, and security teams to drive automation, system reliability, and operational excellence. 
• Establish and track key metrics (KPIs) for deployment frequency, change lead time, incident reduction, and operational resilience. 
• Ensure compliance and security requirements are met through robust tooling and effective processes (e.g., secrets management, vulnerability scanning, audit logging). 
• Manage resource planning, hiring, and performance reviews; foster a collaborative and inclusive team environment. 
• Report progress, risks, and key outcomes to senior leadership; contribute to technology, roadmaps and budget planning. 

Skills and Experience

• Bachelor’s/master’s in computer science, Engineering, or related field, or equivalent practical experience. 
• 5+ years of experience in DevOps or SRE roles, including large-scale automation and modern infrastructure management. 
• Deep experience with modern DevOps tooling and practices (e.g., Kubernetes, Terraform, Jenkins, GitHub Actions, AWS/GCP/Azure). 
• Proven expertise in automation, configuration management, monitoring/alerting, and incident response. 
• Solid understanding of security best practices for cloud-native environments (e.g., IAM, RBAC, encryption, compliance frameworks). 
• Strong communication skills, with the ability to effectively manage stakeholders, prioritize work, and build high-performing teams. 

Job Description

Key Responsibilities

• Own end-to-end delivery of CI/CD pipelines, infrastructure as code, and deployment automation workflows. 
• Collaborate with application, infrastructure, and security teams to drive automation, system reliability, and operational excellence. 
• Establish and track key metrics (KPIs) for deployment frequency, change lead time, incident reduction, and operational resilience. 
• Ensure compliance and security requirements are met through robust tooling and effective processes (e.g., secrets management, vulnerability scanning, audit logging). 
• Manage resource planning, hiring, and performance reviews; foster a collaborative and inclusive team environment. 
• Report progress, risks, and key outcomes to senior leadership; contribute to technology, roadmaps and budget planning. 

Skills and Experience

• Bachelor’s/master’s in computer science, Engineering, or related field, or equivalent practical experience. 
• 5+ years of experience in DevOps or SRE roles, including large-scale automation and modern infrastructure management. 
• Deep experience with modern DevOps tooling and practices (e.g., Kubernetes, Terraform, Jenkins, GitHub Actions, AWS/GCP/Azure). 
• Proven expertise in automation, configuration management, monitoring/alerting, and incident response. 
• Solid understanding of security best practices for cloud-native environments (e.g., IAM, RBAC, encryption, compliance frameworks). 
• Strong communication skills, with the ability to effectively manage stakeholders, prioritize work, and build high-performing teams.