Reliability Engineering Jobs in Hyderabad

Azure Infrastructure Engineer Role Overview: We are seeking an experienced Azure Infrastructure Engineer to join our growing team. The ideal candidate will have hands-on expertise in Azure Resource Management, PaaS services, Compute services, Networking, Storage, Identity & Access Management, Monitoring & Diagnostics, and DevOps practices. You will play a pivotal role in designing, implementing, and maintaining our Azure infrastructure, ensuring it supports a wide range of applications and services. Key Responsibilities: Design & Implement Infrastructure Solutions: Architect scalable, secure, and highly available Azure infrastructure using Azure Resource Manager to meet business and application requirements. Manage Azure PaaS Services: Configure and manage Azure PaaS services (such as Azure App Services, Azure Functions, and Azure SQL Database) to optimize application performance, reliability, and scalability. Oversee Azure Compute Services: Manage and configure Azure Compute Services, including Virtual Machines, App Services, and Container Instances, ensuring efficient resource usage and performance. Networking & Security: Implement networking solutions within Azure, including Virtual Networks, Network Security Groups, and VPN gateways, ensuring secure and efficient network communication. Storage Solutions: Design, implement, and manage Azure storage solutions to ensure high availability, security, and efficient data access for applications. Identity & Access Management: Implement Identity and Access Management (IAM) solutions with Azure Active Directory and Role-Based Access Control (RBAC) to maintain secure user access and permissions across the infrastructure. Monitoring & Diagnostics: Utilize Azure Monitoring and Diagnostics tools to monitor infrastructure performance, identify issues, and ensure optimal operational efficiency. DevOps Integration: Work closely with DevOps teams to integrate infrastructure solutions with CI/CD pipelines, ensuring seamless application deployment, updates, and management. Documentation: Maintain detailed documentation of infrastructure configurations, best practices, and operational procedures for consistency and knowledge sharing across teams. Continuous Improvement: Stay updated with the latest Azure services, features, and best practices. Proactively recommend improvements to enhance infrastructure performance, security, and cost-efficiency. Skills & Qualifications: Education: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Azure Resource Management: Strong understanding of Azure Resource Manager, deployment automation, and infrastructure-as-code (IaC) practices. Azure PaaS Services: Proven experience managing Azure App Services, Azure Functions, and Azure SQL Database to optimize cloud application performance. Azure Compute Services: Expertise in managing and configuring Virtual Machines, App Services, and Container Instances for compute workloads. Networking Expertise: In-depth knowledge of Azure networking concepts, including Virtual Networks, Network Security Groups, and VPN solutions. Storage Solutions: Solid experience with Azure storage solutions (e.g., Blob Storage, Disk Storage) and best practices for data management and security. Identity & Access Management: Proficiency in Azure Active Directory and Role-Based Access Control (RBAC) for user and resource management. Monitoring & Diagnostics: Experience with Azure Monitoring and Azure Diagnostics tools to maintain system performance and troubleshoot issues. DevOps Knowledge: Familiarity with DevOps practices and experience working with CI/CD pipelines, automation tools, and infrastructure-as-code frameworks (e.g., ARM templates, Terraform). Additional Information: Role: Azure Infrastructure Engineer Department: Cloud Engineering Industry: IT Services Employment Type: Full-time, Permanent Role Category: Infrastructure Engineering Qualification : Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Performance Test Engineer Full-Time | Hyderabad, India Department: Engineering Experience: 4 to 6 Years Location: On-site | Hyderabad, Telangana Work Hours: Flexibility to support US time zone Salary: Competitive, based on experience Job Summary We are hiring a skilled and analytical Performance Test Engineer to lead and execute performance testing initiatives for our enterprise-grade applications. This role is ideal for someone with hands-on experience in load testing, scalability analysis, and performance bottleneck resolution using tools like JMeter or LoadRunner. You'll collaborate with cross-functional teams to optimize system performance and ensure a seamless user experience at scale. Key Responsibilities Design and implement comprehensive performance test plans, including load, stress, and scalability testing. Identify and diagnose performance bottlenecks in backend systems, APIs, and databases. Collaborate with software developers, DevOps, and QA engineers to resolve performance issues and optimize infrastructure. Execute performance test scenarios using tools such as Apache JMeter, LoadRunner, or similar performance testing frameworks. Write and maintain performance test scripts and automation tools as required. Analyze test results, generate reports, and provide actionable insights and recommendations for system improvements. Advocate for performance engineering best practices across teams. Contribute to system architecture and capacity planning by offering data-driven insights. Stay up to date on emerging trends, tools, and methodologies in performance engineering and testing. Provide regular updates and performance metrics reports to leads and stakeholders. Required Skills & Qualifications Bachelor s degree in Computer Science, Engineering, or related discipline. 4 6 years of experience in software testing, with at least 2+ years of dedicated performance testing experience. Proficient in tools like JMeter, LoadRunner, or similar performance testing platforms. Strong scripting and debugging skills experience in Java or Python is a plus. Excellent understanding of SQL queries and database concepts for backend performance testing. Strong knowledge of SDLC and STLC, including test planning, test case creation, defect tracking, and reporting. Solid problem-solving skills with the ability to think critically and troubleshoot complex systems. Strong interpersonal and communication skills for collaboration with global teams. Ability to work during US time zones, when required. Preferred/Bonus Skills (Good to Have) Hands-on experience with Azure or other cloud platforms. Exposure to CI/CD pipelines and performance testing within DevOps workflows. Knowledge of additional scripting languages (e.g., Shell, PowerShell, Bash). Experience with monitoring tools like Grafana, New Relic, or Dynatrace. Work on high-scale enterprise platforms with real performance challenges. Collaborate with talented engineers across multiple geographies. Flexible work hours supporting US-based clients. Competitive salary and growth-oriented culture. Apply today to join us as a Performance Test Engineer in Hyderabad and help us scale our applications to the next level of performance and reliability!

Senior Engineer SaaS | Hyderabad, India Department: Engineering Employment Type: Full-Time Experience: 3+ Years Location: Hyderabad (On-site/Hybrid) Job Overview We are looking for a skilled Senior SaaS Engineer to join our dynamic engineering team in Hyderabad. In this role, you will be instrumental in transitioning ZL Tech s flagship products to a highly scalable, reliable, and performant SaaS platform. You will design and develop cloud-native microservices and work collaboratively across global teams to deliver high-quality software solutions. Key Responsibilities Collaborate with geographically distributed engineering teams to migrate and enhance applications into scalable, reliable, and high-performance SaaS architecture. Lead the transition from monolithic systems to microservices architecture ensuring modularity and scalability. Work closely with product managers, architects, and cross-functional teams to gather requirements and translate them into robust technical solutions. Develop and maintain RESTful APIs to support scalable service integrations. Build, deploy, and maintain containerized applications using Kubernetes and related container technologies. Implement and improve DevOps practices including CI/CD pipelines for faster and reliable software delivery. Operate effectively in a fast-paced environment while delivering quality code on schedule. Required Qualifications Bachelor s or Master s degree in Computer Science, Information Technology, or related engineering discipline. Minimum of 3 years hands-on experience building large-scale distributed systems with a focus on scalability and reliability. At least 2 years of professional experience with Kubernetes and container orchestration platforms. Proven experience in cloud-native application development, preferably on platforms such as AWS, Azure, or GCP. Strong expertise in designing and building REST APIs for SaaS environments. Solid understanding of DevOps culture and practical experience implementing CI/CD pipelines using tools like Jenkins, GitLab CI, or similar. Preferred Skills Experience with microservices frameworks such as Spring Boot, Node.js, or equivalent. Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack). Knowledge of security best practices for SaaS applications and cloud infrastructure. Work on cutting-edge SaaS product development with a global engineering team. Grow your expertise in cloud-native technologies and microservices architectures. Opportunity to impact product design and lead innovations in scalable distributed systems. Competitive salary and benefits, with a focus on continuous learning and career growth. Apply today to be part of a forward-thinking company shaping the future of SaaS technology in Hyderabad! Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related engineering discipline.

Senior Software Development Engineer in Test (SDET) QA Location: Hyderabad, IN Employment Type: Full-Time Department: Engineering Role Overview We are seeking an experienced and pragmatic Senior SDET to elevate our testing practices and ensure the reliability and efficiency of our cutting-edge data management, governance, and analytics software at Internet scale. Your work will directly empower decision-makers to leverage data for impactful community improvements. This role requires a hands-on tester with a strategic mindset, able to balance manual exploratory testing with automation and continuous process improvements. You will work closely with product owners, developers, QA teams, and release managers to champion quality throughout the software lifecycle. Key Responsibilities Review and enhance test strategies, plans, and coverage to identify and mitigate risks based on product requirements. Develop and maintain automated test suites, harnesses, and test applications. Collaborate with QA teams and partners to understand system specifications and recommend testability improvements. Enhance CI/CD pipelines with automated testing and scripting to ensure seamless continuous delivery. Partner with developers, product managers, and analysts to ensure testable requirements and robust quality. Drive testability and diagnostics integration into products for faster troubleshooting. Share automation testing best practices and tools across teams. Participate in peer design/code reviews and Agile scrum ceremonies. Perform exploratory/manual testing as needed to support releases. Adhere to coding standards and software development lifecycle processes. Required Qualifications Master s degree in Engineering or a Bachelor s degree with 4+ years of professional software engineering/testing experience. Proficiency in at least one programming language: .NET, Python, or Java. Experience testing enterprise-level applications and systems. Strong background in API testing and automation frameworks/tools. Experience with Jenkins and building/maintaining CI/CD pipelines. Proven expertise in QA processes including test planning, execution, defect tracking, and release management. Hands-on experience with Agile methodologies and sprint ceremonies. Skilled in developing high-quality test automation frameworks. Familiarity with tools like Mocha, Jasmine, JIRA, GitHub, and GitLab. Experience testing cloud applications on Azure, AWS, and on-prem environments. Knowledge of security testing and static code analysis tools. Proficient in querying relational databases and working with complex schemas. Deep understanding of software quality assurance methodologies integrated with SDLC. Work on innovative, impactful data software at Internet scale. Collaborate with a talented global engineering team. Opportunity to influence testing strategies and automation best practices. Dynamic, growth-oriented environment fostering continuous learning. Qualification : Masters degree in Engineering or a Bachelors degree with 4+ years of professional software engineering/testing experience.

Position: EAM Domain Expert Location: Hyderabad, India Employment Type: Full-Time, Salaried Compensation: Base Salary, Bonus, Medical Benefits About Innovapptive: At Innovapptive, we are transforming industrial operations by connecting front-line workers, back-office teams, and assets through our patented, code-free platform integrated with SAP and IBM Maximo. Our mobile-first connected worker solution digitizes maintenance, operations, and supply chain processes, empowering some of the world s largest brands including Shell, UNICEF, and Newmont Mining to improve asset uptime, productivity, safety, and workforce engagement. Backed by Tiger Global Management and Vista Equity Partners, Innovapptive is recognized as one of the most innovative tech platforms by Nasscom and is Great Place to Work (GPTW) certified for three consecutive years. Role Overview: We are seeking an experienced Maintenance and Reliability Domain Expert to join our team. You will play a key role collaborating with product management and professional services to align our Industrial SaaS offerings with the real-world needs of maintenance and reliability professionals. Your deep domain expertise will help shape product strategy, optimize workflows, and enhance the connected worker experience. Key Responsibilities: Serve as the subject matter expert on maintenance and reliability best practices, including Work Identification, Planning & Scheduling, Execution, and Closure. Collaborate with product management on feature prioritization, roadmap planning, and product enhancements. Analyze user personas maintenance professionals and technicians to deeply understand their pain points and workflow challenges. Optimize maintenance workflows to enhance technician productivity and reduce backlogs. Identify opportunities to minimize downtime via preventive and predictive maintenance strategies. Design and conceptualize user-centric solutions aligned with our mobile-first connected worker philosophy. Gather and prioritize requirements from customers and internal stakeholders into actionable product features. Develop training materials and documentation tailored to maintenance professionals. Stay abreast of emerging trends, technologies, and competitive offerings in maintenance and reliability. Champion rapid product iteration, driving efficiency, quality, and speed-to-market. Collaborate cross-functionally with engineering, design, marketing, professional services, and sales teams. Advocate for customers throughout the product lifecycle using data-driven decision making, user research, and usability studies. Thrive in a fast-paced, startup-like environment demonstrating adaptability, innovation, and results orientation. What You Bring: Required Qualifications: Bachelor s degree in a relevant field; advanced degree or certifications a plus. 8+ years of experience in industrial software focusing on maintenance and reliability processes. Strong expertise in Work Identification, Planning & Scheduling, Execution, and Closure. Excellent analytical, problem-solving, communication, and presentation skills. Ability and willingness to travel as needed. Preferred: Proven collaboration with cross-functional teams (product, engineering, professional services). Experience with mobile-first and connected worker technologies. What We Offer: Competitive compensation including stock options. Exceptional health, vision, and dental coverage for you and your family. Positive, innovative, and entrepreneurial work environment. Opportunity to work with global industry leaders. Generous vacation and paid time off. Paid maternity and paternity leave. Bi-annual performance reviews in an OKR-driven culture. Access to extensive learning & development resources. Participation in diverse interest groups and employee clubs (sports, music, Toastmasters, etc.). Innovapptive does not accept unsolicited resumes from search firms. Innovapptive is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration without regard to legally protected characteristics. Qualification : Bachelors degree in a relevant field; advanced degree or certifications a plus.

Lead / Senior DevOps Engineer SRE, Public Cloud & Automation (Hyderabad, India) Full-Time | Software Engineering | Salesforce Hyderabad Drive Automation. Build Scalable Systems. Shape the Future of Cloud Engineering. Join Salesforce as a Lead or Senior DevOps Engineer and play a critical role in operating one of the world s most advanced multi-cloud, microservices, and Kubernetes-based platforms. This is your opportunity to work on high-impact distributed systems that serve tens of millions of users across industries every single day. If you're passionate about DevOps, Site Reliability Engineering (SRE), infrastructure automation, and public cloud platforms, and thrive in fast-paced environments, this role is for you. What You ll Do Maintain and scale a large fleet of Kubernetes clusters powering core Salesforce services and applications Automate everything: from provisioning to deployment and monitoring using tools like Terraform, Python, Go, Spinnaker, and Puppet Ensure high availability, reliability, and performance of large-scale distributed systems Troubleshoot complex, multi-layered production issues across compute, network, and storage layers Implement self-healing systems, smart alerts, and observability solutions using tools like Grafana, Prometheus, Nagios, Zabbix Collaborate closely with engineering, architecture, and platform teams across Salesforce Evaluate and integrate emerging technologies to drive platform resilience, scalability, and automation Required Skills & Qualifications 7+ years of hands-on DevOps or Site Reliability Engineering (SRE) experience in production environments Strong background in Linux systems administration and internals Fluent in scripting or programming languages like Python, Golang, or Bash Deep knowledge of Kubernetes, Docker, and service mesh technologies Experience with AWS (Amazon Web Services) and Infrastructure as Code (IaC) tools like Terraform Strong understanding of networking concepts: TCP/IP, load balancing, switches, DNS, firewalls Familiarity with CI/CD pipelines using tools like Jenkins, Spinnaker, or similar Proficiency in using configuration management tools: Puppet, Chef, or Ansible Proven troubleshooting skills in large-scale distributed systems and cloud-native architectures A continuous learner with strong analytical thinking and collaborative communication skills Preferred / Bonus Skills Prior experience in SRE ownership of large-scale SaaS platforms Experience working with multi-region deployments and resilient architectures Hands-on knowledge of API integration with public cloud vendors (AWS, Azure, GCP) Exposure to data durability, high-availability storage systems, and clustering solutions Perks & Benefits Industry-leading benefits including healthcare, fertility support, adoption & parental leave Well-being reimbursement and generous time-off policies Continuous learning through Trailhead and world-class enablement Mentorship and leadership coaching with executive exposure Opportunities to give back via Salesforce s 1:1:1 philanthropy model Join us in redefining the DevOps landscape and making scalable, secure, and self-healing systems the foundation of modern enterprise software.

Data Engineering Support Engineer SIMA (5+ Years) Hyderabad Location: Hyderabad, India Job Type: Full-Time | On-site/Hybrid Experience: 5+ Years Industry: Data Engineering / Cloud Support Job Overview We are seeking an experienced Data Engineering Support Engineer with a strong background in maintaining and optimizing data pipelines, ensuring platform reliability, and supporting cloud data infrastructure. This role is critical to sustaining smooth data operations for the SIMA platform in Hyderabad. Key Responsibilities Maintain and support data pipelines and transformations on Azure cloud platforms. Ensure platform stability and reliability through proactive monitoring and issue resolution. Manage scheduling and monitoring using Azure Data Factory (ADF) triggers, Azure Monitor, and Log Analytics (KQL). Handle data ingestion and validation workflows via ADF, Event Hub, APIs, and PySpark, including managing schema drift. Manage CI/CD pipelines using Azure DevOps YAML, deploying solutions for ADF, Synapse, and Databricks. Optimize data transformations and performance using PySpark and Delta Lake techniques like partitioning and caching. Implement and maintain security best practices using Azure RBAC, Key Vault, NSGs, and Integration Runtime configuration. Conduct Root Cause Analysis (RCA), document findings, maintain disaster recovery playbooks, and implement proactive alerting. Required Skills 5+ years of hands-on experience in data engineering support roles. Expertise in Azure Data Factory (ADF) scheduling, triggers, and monitoring. Proficient with PySpark for data transformations and performance optimization. Experience with Delta Lake optimizations including partitioning and caching. Skilled in CI/CD practices using Azure DevOps for deploying data workflows. Strong knowledge of Azure security features: RBAC, Key Vault, Network Security Groups (NSGs). Ability to perform detailed Root Cause Analysis (RCA) and develop disaster recovery strategies. Familiarity with data ingestion tools like Event Hub and API integrations. Experience with Kusto Query Language (KQL) for Log Analytics queries. Join a dynamic team maintaining critical data infrastructure supporting business operations. Work with advanced Azure data services and cloud-based data platforms. Competitive salary and comprehensive benefits. Opportunity for growth and skill development in cloud data engineering. Apply Now If you are a detail-oriented data engineering professional with expertise in Azure platform support, apply today to become a vital part of our Hyderabad-based SIMA team!

Job Title: Senior Data Engineer Location: Hyderabad, Telangana, India Job Type: Full-Time | Permanent Experience Required: 6+ Years Open Positions: 2 About the Role: We are seeking a highly skilled and experienced Data Engineer to join our team in Hyderabad. As a key member of our data engineering unit, you will be responsible for designing and optimizing end-to-end data pipelines using Python, PySpark, and Databricks. This role requires strong technical expertise, a passion for solving complex data challenges, and the ability to lead best practices within the Supply Chain data domain. Key Responsibilities: Develop and maintain scalable data pipelines using Python, PySpark, and Databricks for complex data transformation within Supply Chain operations. Implement advanced data engineering solutions that support real-time and batch data processing for analytics and business intelligence. Analyze, optimize, and refactor existing data workflows to improve performance and reliability. Collaborate with cross-functional teams to understand data requirements and translate them into robust technical solutions. Take ownership of projects and deliver high-quality outcomes with minimal supervision. Provide leadership and guidance on coding standards, design patterns, and data engineering best practices. Clearly communicate technical ideas and solutions to both technical and non-technical stakeholders. Required Skills & Qualifications: 6+ years of hands-on experience in data engineering. Proficient in Python, PySpark, and Databricks for building and maintaining data pipelines. Strong problem-solving skills with a proven ability to create innovative solutions for complex data challenges. Excellent communication and interpersonal skills; able to work effectively with cross-functional teams. Experience leading and mentoring team members on technical best practices and architecture decisions. Ability to work independently, manage priorities, and drive projects to completion with minimal oversight. Perks & Benefits: Competitive compensation package Exposure to cutting-edge technologies in cloud-based data engineering Opportunity to work on large-scale Supply Chain data solutions Collaborative, innovation-driven work environment Career growth and mentorship opportunities

Staff Software Engineer Google Cloud Databases Location: Hyderabad, Telangana, India Minimum Qualifications Bachelor s degree or equivalent practical experience. 8+ years of software development experience, including strong data structures and algorithms knowledge. 5+ years of experience testing and launching software products. 3+ years of experience with software design and architecture. Preferred Qualifications Master s or PhD in Engineering, Computer Science, or related technical field. 3+ years in a technical leadership role, leading projects and setting technical direction. Experience collaborating on cross-functional or cross-business projects. Proficiency in C++ and related frameworks. Knowledge of storage technologies such as SAN, NAS, Object Storage, and Cloud Storage. About the Role At Google Cloud, software engineers innovate on technologies that transform how billions connect, explore, and engage with data and services globally. As a Staff Software Engineer focused on Google Cloud Databases, you will design and develop scalable, reliable distributed database services that meet demanding performance and availability requirements. You will be empowered to act like an owner, anticipate customer needs, and innovate across the full stack. Your work will directly impact the performance and reliability of core Google Cloud services used worldwide. Responsibilities Architect, develop, and maintain scalable, high-performance backend services for distributed database systems. Own end-to-end module design and implementation with a focus on engineering excellence. Produce high-quality, well-documented, maintainable codebases. Lead code reviews to ensure consistent quality and best practices. Mentor and guide junior engineers, fostering their technical development and career growth. Collaborate closely with cross-functional teams including Product Management, UX/UI, and customers to deliver impactful solutions. About Google Cloud Google Cloud empowers organizations worldwide to digitally transform their operations with enterprise-grade solutions built on Google s cutting-edge technology. Serving customers in over 200 countries and territories, Google Cloud is a trusted partner for growth and innovation across industries. Qualification : Bachelor's degree or equivalent practical experience.

Job Description We are looking for a passionate engineer to join an early-stage startup focused on building innovative cloud-native data protection solutions. This role requires a proactive approach to learning and scoping business requirements, and developing appropriate DevOps solutions. It's a great opportunity for engineers eager to step out of their comfort zone and work on solving modern data security challenges that have a huge impact. Desired Background and Experience: Must be a problem solver with the ability to think critically and creatively. Minimum of 8 years of experience in building products on AWS. Prior work in startups is a huge plus. This is a hands-on DevOps role, comfortable with rapid prototyping and implementation of products in an agile team environment. Ability to ensure that systems are safe and secure against cybersecurity threats. Familiarity with scripting languages like Python. Experience with the implementation of various data services in AWS or other clouds. Experience with Infrastructure-as-Code tools like Terraform, CloudFormation, and Ansible. Experience in container and clustering technologies such as ECS, Docker, Kubernetes, and Helm. Experience with version control systems like GitHub and GitHub workflows. Experience with monitoring tools like CloudWatch. Ability to implement good DevOps practices across infrastructure.

Location: Hyderabad/Chennai, India Experience: 5+ years No. of Openings: 4 Job Description: Managing to code release and operational tasks within a global team with a focus on automation, maintainability, security and customer satisfaction Design, develop, and maintain infrastructure and various Azure or AWS IaaS and PaaS services. Expected to understand the Azure services and apply best practices regarding security and scalability. Working experience on Azure infrastructure setup and implementation. Should have at least one associate level certificate (pro will be a plus). Understanding of Azure Cloud Adoption Framework and Azure Lighthouse. Should be able to write infrastructure as code using Terraform/Azure ARM Expertise in Terraform, Ansible and CICD automation. Able to use a CI/CD pipelines to deploy applications on Azure. We use GitHub and GitHub actions for CI/CD. Previous experience with the serverless approaches using Azure Functions is a plus. Experience in Linux/Unix administration. Understanding of the enterprise management processes - OS backup, patching, vulnerability scanning, compliance and how to achieve that in Azure/AWS. Perks and Benefits: Excellent Salary structure & Performance based interim hikes. Corporate Group Medical Health Insurance for Employees. Employee friendly Corporate Work culture.

Job Title: DevOps Engineer Location: Hyderabad, India About Celigo: At Celigo, we are pioneering the future of application integration with innovative strategies, cutting-edge technologies, and a dedicated team. Our core mission is simple: to enable independent, best-of-breed applications to work together seamlessly. We believe that every department and business end user should have choices in software selection, and integration challenges should never be an obstacle. Your Role: Celigo powers integration for a large number of customers worldwide through our Integrator.io iPaaS platform, processing millions of transactions daily. Our services are mission-critical, large-scale solutions in the area of iPaaS. We are looking for passionate DevOps engineers who thrive on managing modern, large-scale production services on the cloud. The successful candidate will work in alignment with Celigo's DevOps charter to deliver high-quality products faster, safer, and in compliance with company norms using automation, tooling, and processes. Education: Master's/Bachelor's degree in Computer Science/Engineering, Software Engineering, or a related discipline. Experience: 5-10 years of total experience in software product development organizations, with at least 3 years of experience in DevOps. Role Expertise: Proven experience as a Site Reliability Engineer (SRE) or similar role, including hands-on experience in managing mission-critical, large-scale product operations such as provisioning, deployment, upgrades, patching, and incidents in production on cloud. Cloud Skills: Must have working knowledge of AWS services (e.g., VPC, EC2, EKS, S3, IAM). Automation Expertise: Proficient in Infrastructure as Code (IaC) using Terraform and scripting with Python/Bash. Experience with version control systems like Git. Configuration Management: Familiarity with automation tools like Chef, Ansible, and Puppet. Security: Basic understanding of security compliance standards and regulations such as SOC2, HIPAA, GDPR. CI/CD Expertise: Hands-on experience in designing, delivering, and maintaining CI/CD pipelines using tools like Jenkins, Travis CI, Spinnaker, and ArgoCD. Monitoring & Telemetry: Experience with observability tools like Splunk, ELK, and Kafka. Database Knowledge: Familiarity with MongoDB and Kafka. Problem Solving & Troubleshooting: Strong problem-solving, troubleshooting, and analytical skills, demonstrated in previous roles. Communication Skills: Excellent verbal and written communication skills. Agile Experience: Experience working in an Agile development environment. Enterprise Monitoring Systems: Experience with enterprise-level monitoring systems is highly desirable. Platform Deployment: Build and deploy the Integrator.io platform on production, staging, and other environments as required on the cloud. Automation: Use automation tools to eliminate manual steps, including infrastructure provisioning, code deployment, and monitoring/notifications. Tool Administration: Research, deploy, and manage tools such as Splunk and Kafka to support the Integrator.io platform. Collaboration with Security & Compliance Teams: Work closely with the security team to gather data points for audits and address any identified security gaps through programs like HackerOne. CI/CD Pipeline: Design and build CI/CD pipelines for Integrator.io, collaborating with senior architects and engineers. Engineering Excellence: Continuously raise the bar of engineering excellence by implementing best practices in DevOps. The Best Candidate: Passionate about building a world-class DevOps organization. Demonstrates the ability to manage large distributed systems in production on the cloud. Understands how infrastructure components work together. Has experience working with globally distributed teams. Enjoys solving complex problems and is excited about learning new techniques in cloud-based distributed systems. Able to automate tasks using high-level programming languages. Thrives in a fast-paced, dynamic environment and is adaptable to shifting priorities. Quick to learn, and knows when to listen and when to take charge. Qualification : Masters/Bachelors degree required in Computer Science/Engineering, Software Engineering or Equivalent discipline.

Job Title: DevOps Engineer Location: Hyderabad, India About Celigo: At Celigo, we are revolutionizing the future of application integration with cutting-edge strategies and technologies. Our team is dedicated to making complex integrations seamless, and we pride ourselves on delivering innovative solutions. Our core mission is simple: enable independent, best-of-breed applications to work together seamlessly. We believe that every department and business end user should have choices when selecting software, and integration challenges should never hinder business progress. Your Role: Celigo powers integration for customers globally through our Integrator.io iPaaS platform, which handles millions of transactions daily. We own mission-critical, large-scale services in the iPaaS space, requiring us to develop and maintain highly scalable services within cloud environments. We are seeking passionate DevOps engineers who love managing modern, large-scale services in production on the cloud. Our DevOps charter focuses on enabling Development and QA teams to deliver high-quality products quickly, safely, and in compliance with our standards, using automation, tooling, and processes. As part of the DevOps team, you will work towards building a continuous value delivery pipeline and ensuring top-tier customer satisfaction. Education: Master's/Bachelor's degree in Computer Science/Engineering, Software Engineering, or a related discipline. Experience: 5-7 years of total experience in software product development organizations, with at least 4 years in a DevOps role. Cloud Skills: Hands-on experience managing mission-critical, large-scale product operations such as provisioning, deployment, upgrades, patching, and incidents in cloud production environments. Must have working knowledge of public cloud services, preferably AWS. Automation Skills: Proficient in Infrastructure as Code (IaC) using Terraform and scripting with Python/Bash. Familiar with version control systems like Git. Configuration Management: Good knowledge of configuration management and automation tools such as Chef, Ansible, Puppet. Security: Basic understanding of security compliance standards like SOC2, HIPAA, and GDPR. CI/CD Expertise: Expertise in designing, delivering, and maintaining CI/CD pipelines with tools like Jenkins. Troubleshooting & Analytical Skills: Strong problem-solving, troubleshooting, and analytical skills demonstrated in previous roles. Developer Mindset: Developer experience with an emphasis on automation and system optimization. Agile Environment: Experience working in an Agile development environment. Monitoring & Observability: Experience with enterprise-level monitoring systems is highly desirable. Communication Skills: Excellent verbal and written communication skills. Platform Deployment: Build and deploy the Integrator.io platform across various environments (Production, Staging) in the cloud. Automation: Leverage automation tools to automate infrastructure provisioning, code deployment, monitoring, and notifications. Tool Administration: Research, deploy, and manage essential tools like Splunk, Kafka, etc., to support the platform. Collaboration with Security & Compliance Teams: Work closely with the security team to gather data points for audits and address security gaps identified through programs like HackerOne. CI/CD Pipeline Design: Design and build CI/CD pipelines for Integrator.io, collaborating with senior architects and engineers. Engineering Excellence: Implement best practices in DevOps, continuously raising the standard for engineering excellence. The Best Candidate: Passionate about creating a world-class DevOps organization. Proven ability to manage large distributed systems in cloud production environments. Solid understanding of how infrastructure and software components interact. Experience working with globally distributed teams. Enthusiastic about learning new techniques in complex distributed systems and solving challenging problems on the cloud. Skilled at automating tasks using high-level programming languages. Thrives in a fast-paced, dynamic environment with shifting priorities. Quick to learn and knows when to lead and when to listen. Why You'll Love It Here: Everything Integrated: We solve a critical challenge that affects almost every business integrating cloud apps. Automation Nation: We're the only iPaaS solution that automates business processes across multiple cloud applications using a single prebuilt integration. Celigo Values: Our guiding principles foster a collaborative, innovative environment as we scale. Take A Stand: Celigo s initiative promotes diversity, equity, and inclusion within our company. Work-Life Balance: Starting from your first year, we offer three weeks of vacation, plus holidays to recharge and spend time with loved ones. Perks & Benefits: We offer a comprehensive benefits package, a tech stipend, pre-tax commuter expense reimbursement, recognition opportunities, and many other perks. Celigo is committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, in compliance with legal requirements.

Role Overview: We are seeking a highly skilled Senior Python Engineer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will possess a strong technical background, proven leadership experience, and expertise in building scalable, resilient, and secure applications. In this role, you will lead the design, development, and deployment of backend services, collaborating with cross-functional teams to deliver impactful solutions. Key Responsibilities: Lead design and development of applications using microservice architecture to ensure scalability, resilience, and high performance. Develop and maintain FastAPI-based backend services, optimizing for scalability and reliability. Implement best practices for logging, monitoring, health checks, and error handling to ensure robust service performance. Optimize code quality, security, and performance across the development lifecycle. Utilize containerization technologies (e.g., Docker, Kubernetes) for efficient application deployment and management. Collaborate with cross-functional teams to define, design, and implement new features that align with business objectives. Establish and manage CI/CD pipelines to automate deployment and ensure consistent, efficient delivery of software. Adhere to API design and development best practices, ensuring high-quality and secure services. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana) for performance tracking and proactive issue resolution. Ensure adherence to version control systems (e.g., Git) and best practices in collaborative workflows. Qualifications: Proven experience in leading technical teams and developing applications using microservice architecture. Proficiency in Python and FastAPI for building robust and scalable backend services. Deep understanding of Pydantic for data validation in FastAPI. Experience with containerization technologies such as Docker and Kubernetes for efficient application deployment. Familiarity with CI/CD pipelines and automation tools to streamline the development and deployment process. Strong knowledge of API design and implementation best practices, ensuring high-quality and secure integrations. Experience with monitoring and logging tools like Prometheus and Grafana. Strong understanding of security best practices in microservices-based applications to ensure data integrity and confidentiality. Nice to Have: Experience with Retriever models, including the implementation of chunking strategies. Familiarity with vector databases and their relevant use cases in AI-driven applications. Understanding of optimal approaches for querying LLM models via API. Experience with prompt engineering and strategies for effective interaction with LLMs. Exposure to various prompt engineering techniques in different AI scenarios. At Blend, we believe in the transformative power of AI, combined with human expertise, to create meaningful impacts. Join our team and contribute to cutting-edge technology projects that shape the future of AI and innovation. Enjoy a culture that fosters collaboration, growth, and creativity while working alongside some of the brightest minds in the industry.

Role Overview: We are looking for a Software Engineer to play a key role in migrating our workflow orchestration system from Azkaban to Apache Airflow. This is a high-impact opportunity to contribute to modernizing our data processing infrastructure, working on a critical migration project that will enhance the performance and scalability of our systems. Key Responsibilities: Migration Strategy: Design, develop, and execute the migration strategy from Azkaban to Apache Airflow, ensuring a smooth transition and minimal disruption to ongoing operations. Automation: Develop Python scripts and automation tools to support the migration process and automate various tasks such as calling APIs and performing database interactions. Testing and Data Validation: Implement best practices for testing and data validation to ensure the accuracy and reliability of the migrated workflows. Process Automation: Collaborate with the development team to automate several manual processes related to release, upgrades, and deployments, improving operational efficiency. Collaboration: Work closely with platform owners and data teams to ensure that workflows continue to operate with the same performance and reliability post-migration. Optimization: Optimize Airflow DAGs for efficiency, modularity, and maintainability, ensuring scalable and high-performance data pipelines. DevOps Practices: Leverage previous DevOps experience focusing on continuous deployment and monitoring, ensuring the smooth and continuous operation of the migration process. Qualifications: Education: Bachelor s degree in Computer Science, Software Engineering, or a related field. Programming Languages: Proficiency in Python for writing automation scripts, including calling APIs and interacting with databases. Kubernetes Ecosystem: Experience creating YAMLs and Helm charts for managing Kubernetes resources. DevOps Experience: Hands-on experience with DevOps practices, particularly focusing on continuous deployment and monitoring. Orchestration System: Proficiency with Apache Airflow or any orchestration system; experience in creating DAGs to run custom workflows is a plus. Jupyter Notebooks: Familiarity with Jupyter notebooks for data processing and analysis is a plus. Qualification : Bachelors degree in computer science, Software Engineering, or a related field.

About Synopsys At Synopsys, we drive innovations that shape how we live and connect. From self-driving cars to AI-powered machines, our technology is central to the Era of Pervasive Intelligence. We lead in chip design, verification, and IP integration, enabling the creation of high-performance silicon chips and software content. Join us to help transform the future through continuous technological innovation. About You You are an experienced and dynamic CloudOps Manager with a proven track record in managing cloud infrastructure and leading teams to success. You thrive in a fast-paced, innovative environment and are passionate about cloud technologies that drive business outcomes. With deep expertise in AWS, Azure, and GCP, you ensure high availability, scalability, and security of cloud environments. You excel at collaborative problem-solving, incident management, and automation, while leading cross-functional teams and driving continuous improvement. What You ll Be Doing Manage, monitor, and optimize cloud infrastructure across AWS, Azure, GCP, or other cloud platforms. Lead a team of CloudOps engineers, ensuring 24x7 operations and driving team performance. Work closely with development and engineering teams to track issues, implement enhancements, and align cloud operations with business goals. Collaborate with the Customer Success Group to gather customer feedback, identify recurring issues, and provide actionable insights for service improvement. Implement processes for incident detection, response, and resolution to minimize downtime. Drive automation initiatives to improve deployment pipelines, monitoring systems, and operational efficiency. Ensure compliance with cloud security standards and best practices, including data protection and governance. Oversee changes in operations, ensuring smooth transitions and minimal disruptions. Regularly publish support metrics to track performance and service levels. The Impact You ll Have Ensure seamless delivery and optimization of cloud-based services, ensuring high availability and reliability. Lead and mentor a team of CloudOps engineers, fostering a culture of excellence and continuous improvement. Enhance collaboration between cloud operations and internal teams, aligning operations with business goals. Improve customer satisfaction by addressing customer feedback and proactively improving services. Refine incident response procedures, reducing downtime and enhancing service reliability. Drive automation and optimization efforts to increase operational efficiency. Ensure compliance with security standards, safeguarding cloud environments and customer data. What You ll Need 7+ years of experience in cloud operations, with at least 2 years in a leadership role. Strong expertise in AWS, Azure, or GCP (multi-cloud experience is a plus). Hands-on experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation), container orchestration (Kubernetes, Docker), and CI/CD pipelines. Proven ability to work effectively with cross-functional teams, including development, engineering, and customer success groups. Proficiency in monitoring and automation tools like Prometheus, Grafana, Splunk, or similar. Strong analytical and troubleshooting skills in complex cloud-based systems. Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Administrator) are highly desirable. Who You Are Excellent communication, leadership, and project management skills. Experience with hybrid cloud environments. Understanding of ITIL frameworks and service management processes. Familiarity with scripting languages (e.g., Python, Bash). Strong commitment to customer satisfaction and continuous improvement. The Team You ll Be a Part Of You ll join a dedicated and dynamic Cloud Operations team focused on managing, monitoring, and optimizing cloud infrastructure. Our mission is to ensure high availability, scalability, and security of cloud environments while driving business success and customer satisfaction. We collaborate closely with internal teams and the Customer Success Group to deliver exceptional cloud services and continuously improve operations. Rewards and Benefits We offer a comprehensive range of health, wellness, and financial benefits to meet your needs. Your recruiter will provide more details about the salary range and benefits during the hiring process. Inclusion and Diversity are integral to our culture. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.

General Summary: Qualcomm is at the forefront of technological innovation, leveraging data-driven insights to power business decisions. We are seeking a Senior/Lead Data Engineer to design, develop, and implement advanced data solutions to support Qualcomm s business goals. This role will involve building scalable data pipelines, integrating large datasets, and collaborating with cross-functional teams to unlock the value of data. As a key technical leader, you will help shape Qualcomm s data infrastructure and work closely with data scientists, analysts, and business stakeholders to ensure the delivery of reliable and high-quality data solutions. Key Responsibilities: Design and implement scalable data pipelines and ETL processes for structured and unstructured data. Develop and optimize data lake, data warehouse, and real-time data processing solutions. Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into robust data solutions. Ensure data quality, reliability, and security across all data systems and pipelines. Build and maintain data models that support business intelligence and advanced analytics needs. Optimize data workflows for performance, scalability, and cost-efficiency. Provide technical leadership and mentorship to junior data engineers. Stay up to date with emerging technologies and recommend solutions to improve data architecture. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or related field. 5+ years of experience in data engineering or related roles. Proficiency in Python, SQL, and Scala, with experience in building scalable ETL pipelines. Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka). Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Solid understanding of data modeling, data architecture, and real-time data processing. Experience with CI/CD, containerization (Docker, Kubernetes), and DevOps practices. Preferred Qualifications: Knowledge of machine learning pipelines and working with data science teams. Experience with streaming data frameworks (e.g., Apache Flink, Spark Streaming). Strong understanding of data governance, compliance, and security best practices. Excellent problem-solving, communication, and team collaboration skills. Why Join Qualcomm? At Qualcomm, you ll work on cutting-edge projects, collaborating with global teams to solve challenging problems. We offer: Continuous learning and growth opportunities. Flexible working arrangements and a supportive work culture. The chance to work with innovative technologies and industry leaders.

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. #LI-DNI#EasyApply Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

Description Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be a key member of the Quality Engineering team in India as we build the India organization, while working with experts worldwide. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a small, friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: As a Quality Engineer for the Salesforce AI Cloud, you will be responsible for leading the design, development and execution of comprehensive test plans/quality strategies with emphasis on automation . You will collaborate closely with product & engineering teams, actively contributing to the quality of new features while ensuring successful execution of regression tests in various environments. You will be working in a fast phased environment and will be expected to understand complex backend AI flow systems/dependencies, identifying potential risks, and strategically plan and execute comprehensive testing efforts to ensure the stability, reliability and quality of the feature and release. Skills needed for role: * Strategic and Tactical leadership : Experience leading analysis of coverage gaps and writing E2E and integration tests, partnering with teams to drive service level test coverage * Technical Expertise: Technical excellence and leadership required in identifying, developing and maintaining tests involving API, databases and web UI tests. Strong knowledge of automation tools and continuous automation systems. * Cross Team Collaboration: Ability to work with stakeholders (internal customers) from multiple organizations that leverage our central platform for custom applications. Collaborate with them to determine key shared usage patterns to prioritize test coverage of, as well as provide guidance to these customers on how to proactively test their application s integration with the platform. * Strong knowledge and experience of Java/Python/Selenium/CD pipeline configurations * Excellent communication skills: Experience generating reports, presenting and holding the quality bar for new features & release * Experience working in Global teams: Ability to work and partner with peers and other partner teams across timezones. * 8+ years of QE experience and 2+ years of experience leading projects and partnering/leading junior members of the team. Nice to have skillsets (or skillsets expect to develop in this role): * Understanding of LLM Model hosting with Sagemaker * Understanding LLM Finetuning and Inferencing * Testing integrations with Cohere, Anthropic, Dolly, Google, etc. as well as internal models * Sagemaker GroundTruth integration for data labelling, Bedrock for model serving * Experience with Azure Open AI * Experience with Tableau around creating dashboards for reporting What the team does: * Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes (evangelizing shift left methodologies) . * Building/enhancing test frameworks/tooling for the easy creation and maintenance of integration and end-to-end tests. * Proactively drive quality by monitoring and reporting of test stability metrics for pre-prod & Prod environments through dashboards, triaging and filing and follow up of bugs. * CUJs(Critical User Journey test) for cross-cloud integration and apps * Configure tooling/runners for automated tests, used by scrum teams * Configure various test environments such as setting up core test env hawking test env connectivity * Define and measures Quality metrics (code coverage, endpoint coverage, service coverage, etc.) goals are met for the ML foundations * Automation strategies and framework support for all kinds of testing * Identify risks with releases, deployments, etc. * Support TAM expansion to multiple geographies and monitoring platform stability * Daily management of Integration tests pass rates in Test, App-Dev, Stage & Prod environments - bugs created/assigned if failures not being addressed, building test result dashboards and simplifying feedback/debugging process for engineers

Job Title: Data Engineering Manager Location: Hyderabad About Kanerika Kanerika Inc. is a leading global software products and services company dedicated to empowering data-driven enterprises. We help businesses accelerate digital transformation and maximize impact by delivering innovative, custom data solutions that optimize operations, enhance customer experiences, and fuel growth. Our Accolades Best Place to Work 2022 Great Place to Work Top 10 Most Recommended RPA Startups 2022 RPA Today Technology Innovation Award 2021 Frost & Sullivan India for Kompass composable solution Recognized for strong data privacy and security standards: ISO 27701, SOC2, GDPR compliant With a 4.5/5 Glassdoor rating, Kanerika fosters an inclusive, growth-oriented culture where employees thrive. We offer: Flexible working hours and generous parental leave Mandatory training on a safe and inclusive work environment Mentorship, professional development, and certification support Company-sponsored outings and work-life balance initiatives Join a vibrant, diverse community where your contributions truly matter. The Role We are looking for an experienced Data Engineering Manager to lead and inspire our data engineering team in Hyderabad. Partnering closely with Data Architects, you ll drive the design and development of scalable, cloud-based data pipelines and models, ensuring data quality, security, and performance. What You ll Do Lead and mentor a high-performing data engineering team, driving productivity and accountability. Collaborate with architects and development leads to build scalable, enterprise-grade data solutions. Oversee agile workflows, manage escalations, and coordinate hiring and resource planning. Use data-driven insights to guide team priorities and continuous improvement. Support pre-sales activities and work cross-functionally with sales and recruitment teams. Foster a culture of innovation, quality-first mindset, and customer focus. Who You Are A proactive leader with experience managing mid to large-sized teams and complex projects. An effective communicator, both verbally and in writing, with a knack for visually presenting ideas and core values. Results-oriented with a proven track record of delivering successful projects and publishing customer case studies. A process-driven, independent thinker who thrives under pressure and embraces continuous learning. Passionate about inclusivity and committed to contributing authentically to a diverse team environment.