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Talentoj Reviews by Employees

Consultant

Senior Consultant

As Product Lead, you will define and execute the product vision for an AI-powered SaaS platform, ensuring alignment with company goals and critical customer needs. You will lead cross-functional teams across product, engineering, design, and business to deliver high-impact features that drive automation, personalization, and user engagement. This role demands a leader who can navigate marketplace dynamics, innovate in AI/voice technologies, and tailor experiences specifically for the unique challenges and opportunities within the Indian SMB and B2B landscape. Key Responsibilities : As Product Lead, you will : - Define and Execute Product Vision : Articulate a clear and compelling product vision for an AI-powered SaaS platform, ensuring it aligns seamlessly with overall company goals and deeply understands customer needs. - Lead Cross-Functional Teams : Guide and empower cross-functional teams spanning product, engineering, design, and business to conceptualize, build, and deliver high-impact features and products. - Strategic Prioritization : Prioritize product initiatives rigorously based on comprehensive market feedback, technical feasibility assessments, and calculated business ROI. - Own End-to-End Product Development : Take full ownership of the end-to-end product development lifecycle, with a specific focus on AI/voice-enabled interfaces, continuously enhancing automation, personalization, and user engagement. - Drive AI/Voice Innovation : Champion and drive innovation in core areas such as natural language understanding (NLU), sophisticated call flows, and seamless multilingual voice experiences. - Develop Marketplace Features : Design and develop features specifically tailored for marketplace dynamics, including essential buyer/seller tools, streamlined onboarding processes, and efficient transaction flows. - Go-To-Market (GTM) & Adoption : Collaborate closely with marketing and sales teams to craft and execute successful Go-To-Market (GTM) strategies, meticulously tracking product adoption and usage. - Full Product Lifecycle Ownership : Maintain complete ownership of the product lifecycle, from initial discovery and conceptualization through delivery, launch, and continuous iteration based on performance and feedback. - Agile Execution : Employ Agile methodologies to rapidly ship Minimum Viable Products (MVPs), effectively test hypotheses, and strategically scale validated features for broader impact. - SMB & B2B Focus for India : Design intuitive and impactful product experiences specifically tailored for Indian SMBs and B2B customers, meticulously considering critical factors like cost sensitivity, onboarding friction, and prevailing mobile-first behavior. - Scalability & Usability : Ensure the product is not only scalable and affordable but also highly usable and accessible for smaller businesses, meeting their unique operational requirements. Technical Skills & Qualifications : - AI/ML Acumen : Strong conceptual understanding of AI/ML principles, particularly in Natural Language Processing (NLP), NLU, and Speech-to-Text/Text-to-Speech (STT/TTS) technologies. Ability to discuss model performance, data requirements, and deployment challenges with engineering. - SaaS Architecture Knowledge : Familiarity with the architecture of scalable SaaS platforms, including microservices, APIs, database concepts (SQL/NoSQL), and cloud infrastructure (AWS, Azure, or GCP). - Voice/Conversational AI Experience : Hands-on experience or deep familiarity with developing or managing products involving voice interfaces, chatbots, or conversational AI flows. - Data-Driven Decisions : Proficiency in using data analytics tools and understanding data pipelines to inform product decisions and measure success. - API & Integration Understanding : Ability to understand and define API specifications for integrations with other systems. - Agile Methodologies : Solid experience working within Agile frameworks (Scrum, Kanban). - Problem-Solving : Exceptional analytical and problem-solving skills, with a proven ability to translate complex technical concepts into clear product requirements. - Communication : Excellent written and verbal communication skills, capable of engaging effectively with engineering, design, business, and external stakeholders. - Strategic Vision : Demonstrated ability to develop and articulate a clear product vision and strategy. - Experience : [e.g., 8+ years of progressive experience in Product Management, with a significant portion (e.g., 3+ years) in a Lead or Senior Product role for a SaaS or technology product.]

Others

Product Lead - SaaS Platform (6-8 yrs)

Designation : Director Engineering Manager. Location : Jaipur. Work Mode : Hybrid. Responsibilities include, but are not limited to : - Manage a multidisciplinary development team. - Develop and implement significant improvements to core systems and business processes in support of the company's/divisions profit, growth, and customer satisfaction goals. - Responsible for the development of strategic and tactical planning of technology and people resources necessary for the successful completion of large-scale projects. - Direct technical activities to estimate, plan, design, build, test, and deploy solutions into production. - 15 years' experience in development. - Extensive experience in solving complex problems and driving solutions. - Good experience in .NET, Java/Spring with a relational database. - Good understanding of DevOps principles. - People management experience is required. - Experience in building & managing applications on cloud platforms (AWS preferred or Azure). - Excellent verbal and written communication skills and ability to interact with others.

Jaipur

Director of Engineering (15-18 yrs)

Requirements : - Experience in analysing test logs, creating test reports, and coordinating with stakeholders. - Experience in test planning, test design, test strategy, and test execution. - Strong coding skills in languages such as Java. - Experience on API level testing - Solid Knowledge of the API functioning, both via manual and automation. - Experience in API automation using tools like Rest Assured, Karate, Selenium, etc. - Good database knowledge. - Working experience on Android Studio, XCode, Charles Proxy/ Fiddler /Burp, Android ADB. Good to Have : - Experience in NoSQL databases. - Experience in Security testing. - Understanding of the Unix-based systems for log monitoring and shell scripting. - Experience with API monitoring tools like Kibana, Grafana, InfluxDB, etc. - Understanding the NFR (non-functional requirements), like battery consumption, data consumption, and crash logging. - Knowledge of tools like Kafka, RabbitMQ, and Crashlytics. - Performance testing of backend servers using tools like Gatling/JMeter/Golang.

Quality Assurance Engineer - Automation & Manual Testing (2-6 yrs)

Role Overview : What You'll Be Doing : Build & Scale Analytics : - Set up and lead the analytics function from the ground up-vision, tooling, frameworks, and processes. - Perform deep-dive analyses, build dashboards, and automate reports to empower data-driven decisions across teams. - Drive accurate data collection, tracking, and reporting practices. Team Leadership : - Hire, coach, and mentor a high-performing team of analysts. - Review analytical work, guide strategic thinking, and promote a culture of curiosity, precision, and impact. Cross-Functional Collaboration : - Partner with Product, Business, Ops, Data Science, and Engineering to solve high-impact problems with data. - Champion data adoption across the organization. Data Infrastructure & Governance : - Collaborate with Data Engineering to build robust data models and pipelines. - Define key business metrics, ensure data quality, and drive documentation and governance best practices. You Will Thrive in This Role If You Have : - 8 to 12 years of experience in analytics or data science, including 4+ years in leadership roles. - Expertise in SQL, and proficiency with Python, R, and dashboard tools like Metabase or Tableau. - A track record of building systems and teams from scratch. - Strong business acumen with the ability to influence strategic decisions through data. - Experience in a fast-paced startup or tech-enabled environment.

Bangladesh

Lead Data Analyst - Python/Tableau (8-12 yrs)

A day in the life of a Data Analyst : - Address and solve complex business issues using large amounts of data - Have a clear understanding of the end-to-end analytics journey as well as define and deliver the data roadmap - Undertake qualitative, quantitative and desktop research to uncover actionable insights that can improve solutions and identify new opportunities. - Prepare actionable insights and do trend analysis using the data - Support key data platform and/or data scheduling jobs to support insights delivery to key audiences (e. frontline, other tribes) - Lead, optimise, design and execute business interventions (customers and operational) to uplift customer engagement and business performance - Consult with stakeholders to understand the business problem and collaborate with other data practitioners to define and deliver an appropriate data solution - Enable data-driven decisions and customer outcomes - Have a clear understanding of the end-to-end analytics journey as well as define and deliver the Tribe data roadmap - Communicate/Interpret analytics result and details with business and stakeholders - Communicating insights and models through impactful data visualisation and storytelling What will you bring ? To grow and be successful in the role, you will ideally bring the following : - 8+ years experience in Data Analytics preferably in Banking/ financial domain. - Strong exposure of data visualisation tools (QlikSense/ Tableau) - Experience using languages such as SQL, Python, - Strong usage of agile tools like JIRA, Confluence, etc. - Previous experience with Business Intelligence/ Data Visualisation Tools with proven track record of developing reports/dashboards - Previous data programming, data analytics and/or data managemen

Bangalore

Data Analyst - Tableau/QlikSense (8-12 yrs)

Responsibilities : Frontend Development Responsibilities : - Develop, test, and maintain responsive and user-friendly web interfaces using modern JavaScript frameworks such as React, Svelte, and Angular. - Collaborate with designers to translate UI/UX wireframes into high-quality, maintainable code. - Optimize web applications for performance, scalability, and cross-browser compatibility. - Build reusable components and front-end libraries to ensure consistency and future scalability. - Implement state management solutions to manage application workflows efficiently. - Integrate APIs and ensure smooth communication between the front-end and back-end systems. UI Testing Responsibilities : - Design, develop, and maintain automated UI test frameworks using tools like Playwright. - Perform functional, regression, performance, and end-to-end testing of web applications. - Create detailed, comprehensive, and well-structured test plans and test cases for front-end features. - Debug and troubleshoot UI-related issues to ensure application stability. - Develop and integrate automated tests into CI/CD pipelines for continuous testing. - Collaborate closely with team members to ensure adherence to front-end development best practices. Requirements : - Proven experience : 5+ years in front-end development with expertise in JavaScript/TypeScript, HTML5 and CSS3 - Hands-on experience with frameworks such as React, Angular, and Svelte. - Proficiency in UI testing frameworks like Playwright or similar tools. - Strong understanding of responsive and adaptive design principles. - Experience with version control systems like Git and CI/CD tools such as Jenkins or GitLab CI. - Familiarity with RESTful APIs and WebSocket integrations. - Familiarity with Large Language Models (LLMs) and AI-powered coding/testing tools (e. g., GitHub Copilot). - Knowledge of Cucumber (BDD Framework) for behavior-driven development. - Exposure to performance testing tools for front-end applications. - Experience with design systems and component libraries (e. g., Material-UI, Ant Design). - Familiarity with DevOps practices and containerization tools like Docker. - Basic understanding of back-end development for enhanced collaboration on API integrations. - Exposure to Java and Spring Framework is a plus.

Anywhere in India/Multiple Locations

Remote

Software Development Engineer III - Frontend Development (5-8 yrs)

Responsibilities : Architect and Implement Data Infrastructure : Design, build, and maintain robust and scalable data pipelines and a data warehouse/lake solution using open-source and cloud-based technologies, optimized for both high-frequency small file and large file data ingestion, and real-time data streams. This includes implementing efficient mechanisms for handling high volumes of data arriving at frequent intervals. - Develop and Optimize Data Processes : Create custom tools, primarily using Python, for data validation, processing, analysis, and automation. Continuously improve ETL/ELT processes for efficiency, reliability, and scalability. This includes building processes to bridge gaps between different databases and data sources, ensuring data consistency and accessibility. This also includes processing and integrating data from streaming sources. - Lead and Mentor : Collaborate with product, engineering, and business teams to understand data requirements and provide data-driven solutions. Mentor and guide junior data engineers (as the team grows) and foster a culture of data excellence. - Data Quality and Governance : Proactively identify and address data quality issues. Implement and maintain robust data quality monitoring, alerting, and measurement systems to ensure the accuracy, completeness, and consistency of our data assets. Implement and enforce data governance and security best practices, taking proactive ownership. - Research : Research and adapt newer technologies to suit the requirements. Requirements : - Are a Hands-On Technical Leader : You possess deep technical expertise in data engineering and are comfortable leading by example, diving into code, and setting technical direction. - Are a Startup-Minded Problem Solver : You thrive in a fast-paced, dynamic environment, are comfortable with ambiguity, and are eager to build from the ground up. You proactively identify and address challenges. - Are a Collaborative Communicator : You can effectively communicate complex technical concepts to both technical and non-technical audiences and build strong relationships with stakeholders. - Are a Strategic Thinker : You can think ahead and architect long-lasting systems.

Data Engineer - ETL/Data Warehousing (2-4 yrs)

Responsibilities : - Build and Automate Cloud Infrastructure : Design, deploy, and optimize cloud environments, ensuring scalability, reliability, and cost efficiency. - Set Up CI/CD and Deployment Pipelines : Develop automated workflows to streamline code integration, testing, and deployment for faster releases. - Monitor and Improve System Performance : Implement robust monitoring, logging, and alerting mechanisms to proactively identify and resolve issues. - Manage Containers and Scalability : Deploy and maintain containerized applications, ensuring efficient resource utilization and high availability. - Ensure Security and Reliability : Enforce access controls, backup strategies, and disaster recovery plans to safeguard infrastructure and data. - Adapt and Scale with the Startup : Take on dynamic responsibilities, quickly learn new technologies, and evolve processes to meet growing business needs. Must-Haves : - 3+ years in DevOps or related roles, focusing on cloud environments, automation, CI/CD, and Linux system administration. - Strong expertise in debugging and infrastructure performance improvements. - Cloud Expertise : In-depth experience with one or more cloud platforms (AWS, GCP), including services like EC2 RDS, S3 VPC, etc. - IaC Tools : Proficiency in Terraform, Ansible, CloudFormation, or similar tools. - Scripting Skills : Strong scripting abilities in Python, Bash, or PowerShell. - Containerization : Experience with Docker, including managing containers in production. - Monitoring Tools : Hands-on experience with tools like ELK, Prometheus, Grafana, CloudWatch, New Relic, and Datadog. - Version Control : Proficiency with Git and code repository management. - Soft Skills : Excellent problem-solving skills, attention to detail, and effective communication with both technical and non-technical team members. - Database Management : Experience with managing and tuning databases like MySQL and PostgreSQL. - Deployment Pipelines : Experience with Jenkins and similar CI/CD tools. Message Queues : Experience with RabbitMQ/SQS/Kafka. Nice to Have : - Certifications : AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or similar. - SRE Practices : Familiarity with Site Reliability Engineering (SRE) principles, including error budgeting and service level objectives (SLOs). - Serverless Computing : Knowledge of AWS Lambda, Azure Functions, or similar architectures. - Containerization : Experience with Docker and Kubernetes, including managing production clusters. - Security : Awareness of security best practices and implementations. - Cloud Cost Optimization : Experience with cost-saving initiatives in cloud environments. - Data Pipelines and ETL : Experience in setting up and managing data pipelines and ETL workflows. - Familiarity with Modern Tech Stacks : Exposure to Python, Node.js, React.js, and Kotlin for app deployment, CI/CD pipelines. - MLOps Pipelines : Understanding of ML model deployment and operationalization. - Data Retrieval and Snapshots : Experience with PITI, EC2 and RDS snapshots. - System Resiliency and Recovery : Strategies for ensuring system reliability and recovery in case of downtime.

DevOps Engineer - Cloud Infrastructure (2-6 yrs)

Job Description : As a Software Development Engineer in the MLOps Team, you will develop the blueprint for highly scalable and performant ML model serving. As a Software Engineer (SDE III), you will design and implement robust ML infrastructure for model deployment, serving, and optimization. You will work on efficient CI/CD pipelines for ML models and leverage advanced compilers or hardware optimization to maximize inference performance while optimizing costs. We welcome you to challenge us to improve our software development processes and tools. Responsibilities : - Build and optimize model serving infrastructure with a focus on inference latency and cost optimization. - Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options. - Develop monitoring and observability solutions for ML systems. - Collaborate with ML Engineers to establish best practices for optimized model deployment. - Implement cost-efficient, enterprise-scale solutions. - Collaborate in a cross-functional, distributed team for continuous system improvement. - Work with MLEs, QA Engineers, and DevOps Engineers. - Evaluate and implement new technologies and tools. - Contribute to architectural decisions for distributed ML systems. Requirements : - 5+ years of experience in software engineering with Python. - Experience with ML frameworks, particularly PyTorch. - Experience optimizing ML models with hardware acceleration (AWS Neuron, ONNX, TensorRT). - Experience with AWS ML services and hardware-accelerated instances (Sagemaker, Inferentia, Trainium). - Proven experience building and operating AWS serverless architectures. - Deep understanding of event-driven processing patterns, SQS/SNS, and serverless caching solutions. - Experience with containerization using Docker and orchestration tools. - Strong knowledge of RESTful API design and implementation. - Proficiency in writing good quality & secure code and familiarity with static code analysis tools. - Excellent analytical, conceptual, and communication skills in spoken and written English. - Experience applying Computer Science fundamentals in algorithm design, problem solving, and complexity analysis. - Experience with model compilation and quantization, performance profiling, and benchmarking ML inference systems. - Experience working in regulated industries with strict compliance requirements for cloud-native solutions.

Software Development Engineer III - MLOps (5-10 yrs)

Responsibilities : - Design and develop solutions for deploying highly secure, highly available, performant, and scalable services in elastically provisioned environments. - Design and maintain persistent storage solutions in our infrastructure. - Own all operational aspects of running persistent storage, including automation, monitoring, alerting, reliability, and performance. - Have a direct impact on running a business by thinking about innovative solutions to operational problems. - Drive solutions and communication for production-impacting incidents. - Running technical projects and being responsible for project-level deliveries. - Partner well with engineering and business teams across continents. Requirements : - Bachelor's or advanced degree in Computer Science or a closely related field. - 7+ years of professional experience in DevOps, with at least 1/2 years in Linux / Unix. - Very strong in core CS concepts around operating systems, networks, and systems architecture, including web services. - Strong scripting experience in Python and Bash. - Deep experience administering, running, and deploying AWS-based services. - Strong knowledge of PostgreSQL, Redis, Elasticache (OpenSearch), Neptune internals, performance tuning, query optimization, and indexing strategies. - Experience with Aurora, Redis, Elasticache, Neptune architecture, including replication, failover, and backup/restore mechanisms. - Familiarity with AWS services commonly used with the above services (e. g., RDS, CloudWatch, IAM, VPC, Lambda). - Experience with high availability and disaster recovery solutions like Aurora, OpenSearch, Neptune, and Redis. - Experience with database migration tools like AWS DMS, pg_dump, or logical replication. - Solid experience with Terraform, Packer, and Docker or their equivalents. - Knowledge of security protocols and certificate infrastructure. - Strong debugging, troubleshooting, and problem-solving skills. - Broad experience with cloud-hosted applications, including virtualization platforms, relational and non-relational data stores, reverse proxies, and orchestration platforms. - Curiosity, continuous learning, and a drive to continually raise the bar. - Strong partnering and communication skills. - Great to have Experience and Qualifications : - Experience as a senior developer or application architect is strongly preferred. - Experience working with, and preferably designing, a system compliant with any security framework (PCI DSS, ISO 27000 HIPAA, SOC 2). Key Characteristics and Attitudes : In a recent global survey, these attributes were valued by Jumios in all locations and functions - we firmly believe in hiring for attitude as well as skill. - Friendly and supportive. - Adaptable and flexible. - Articulate and persuasive. - High IQ and EQ. - Curious and coachable. - Commercially Aware. - Resilient and tenacious. - Big picture and the detail.

DevOps Engineer III - System Reliability (6-10 yrs)

A Module Lead will be involved in the development and implementation of web-based applications and will be responsible for the delivery of the assigned module/small projects and collaborating with different stakeholders, including the customer. Requirements : - Experience working as a full-stack development member, including UI and back-end. - Good exposure working with Angular (or similar JS frameworks like React/Vue.js etc. ). - Good experience in ASP. NET Core, C#, SQL, and JS/JQuery. - Should be able to technically guide the implementation team on both UI and back-end. - Should be passionate about new technologies or have conceptual knowledge on new technologies, even if not worked. - Should be able to understand the architecture effortlessly and contribute to the changes. - Ability to do technical analysis and should have done POCs on new technologies. - Should have good analytical skills. - Should have done either direct client interaction or with an on-site technical team. - Decent Communication skills.

Noida

Module Lead - Full Stack Technologies (6-11 yrs)

Responsibilities : - Design, build, and maintain React Native applications for both iOS and Android. - Collaborate with cross-functional teams to define, design, and ship new features. - Upgrade and migrate existing applications to newer React Native versions, ensuring smooth transitions. - Debug and resolve performance bottlenecks and application issues. - Write clean, maintainable, and scalable code following industry best practices. - Work closely with the UI/UX team to ensure seamless user experiences. - Stay up-to-date with the latest trends and advancements in React Native and mobile development. Requirements : - 4 to 6 years of experience in React Native application development. - Strong understanding of JavaScript, TypeScript, and mobile app development frameworks. - Proven experience in upgrading and managing React Native versions. - Familiarity with native build tools like Xcode, Android Studio, and Gradle. - Knowledge of third-party libraries and APIs integration. - Solid understanding of Redux, Context API, or other state management libraries. - Familiarity with Agile development practices. - Strong problem-solving and debugging skills. Preferred Qualifications: - Experience with CI/CD pipelines for mobile applications. - Familiarity with backend development (Node.js, Firebase, etc.). - Knowledge of testing frameworks like Jest and Detox.

React Native Developer - iOS & Android Platform (4-6 yrs)

Responsibilities : - Development of iOS/Android test automation on mobile test harnesses. - Develop and enhance the existing automation scripts, tools, and framework using Java, TestNG, and Appium. - Execute automated test plans and regression tests for iOS/Android applications. - Define testing strategies and scope for user stories and technical development tasks. - Provide estimates on testing efforts to the Product and Engineering team members. - Maintain and improve the test coverage and ratio of automated tests. - Advocate Automated Testing and CI/CD methodology, review and advise testing methods and best practices. - Identify, investigate, report, and track defects. - Deliver high-quality features and infrastructure to production. - Continuously learn new tools, technologies, and testing disciplines. - Able to work under minimal supervision and quick to adopt new technologies. - Work collaboratively across multiple teams. - Communicate all concerns and status with the SQA manager in a timely manner. Requirements : - Bachelor's degree in computer science or a related field, or equivalent work experience. - A track record of improving quality. - 2+ years of test automation experience with expertise in iOS/Android app testing. - Experience on TestNG, Java, Appium, XCUITest with expertise in programming skills using Java. - Experience in Selenium Webdriver. - Experience using Xcode instruments. - Experience using BrowserStack or similar for app automation. - Expertise in software QA methodologies, tools, and processes. - Expertise in test design, test automation frameworks, and scripting tests. - Experience with MongoDB. - Experience with Git, DevOps, and CI/CD pipelines. - Good knowledge of data warehouses, data lakes, and ETL pipelines (AWS, Athena, Redshift Spectrum, Postgres, SQL, etc) is a plus. - API Automation testing experience using JEST, Mocha, REST Assured, or similar frameworks is a plus. - Excellent communication skills, both oral and written a must. - Experience with Scrum methodologies and remote teams is a plus!

Software Development Engineer - Test II - Mobile App Testing (2-6 yrs)

Requirements : - JavaScript Expertise : Deep understanding of JavaScript, including ES6+ (ECMAScript) features. - Framework Proficiency : Strong experience with one or multiple JavaScript-based frameworks like Angular/React/Vue. Js. - Web Components : Knowledge of developing and integrating web components. - TypeScript : Experience with TypeScript for type-safe JavaScript development. - UI/UX Design Principles : Ability to implement and guide UI/UX best practices. - Performance Optimization : Skills in optimizing web applications for performance. - Team Leadership : Proven experience in leading and mentoring development teams. - Deployment Process : Expertise in deployment processes, including CI/CD pipelines. - Build and Packaging : Proficiency in build tools like Webpack, Rollup, or Parcel. - Problem-Solving : Excellent analytical and problem-solving abilities. - Communication : Strong verbal and written communication skills. Should be able to communicate with customers and able to lead the discussion. Good to have skills : - Enterprise Architecture and Frameworks : Knowledge of working with any enterprise-level server-side frameworks such as Node.js, Java Spring Boot, or. Net Core, etc., and architectural frameworks such as Microservices and SOLID principles. - Cloud Services : Experience with cloud platforms like AWS, Azure, or Google Cloud. - Security Best Practices : Awareness of web security best practices. - DevOps : Familiarity with DevOps practices and tools.

Technical Lead - Frontend Technologies (8-13 yrs)

Responsibilities : - Deployment, management, and administration of web services in a public cloud environment. - Design and develop solutions for deploying highly secure, highly available, performant, and scalable services in elastically provisioned environments. - Maintain and improve continuous integration and continuous deployment solutions. - Own all operational aspects of running web services including automation, monitoring, and alerting, reliability, and performance. - Have a direct impact on running a business by thinking about innovative solutions to operational problems. - Drive solutions and communication for production-impacting incidents. - Run technical projects and be responsible for project-level deliveries. - Partner well with engineering and business teams across continents. Experience and Qualifications : - Bachelors or advanced degree in Computer Science or a closely related field. - 3+ years of professional experience in DevOps, with at least 1 to 2 years in Linux/Unix. - Very strong in core CS concepts around operating systems, networks, and systems architecture including web services. - Strong scripting experience in Python and Bash. - Deep experience administering, running, and deploying AWS-based services. - Solid experience with Terraform, Packer, and Docker or their equivalents. - Knowledge of security protocols and certificate infrastructure. - Strong debugging, troubleshooting, and problem-solving skills. - Broad experience with cloud-hosted applications including virtualization platforms, relational and non-relational data stores, reverse proxies, and orchestration platforms. - Curiosity, continuous learning, and drive to continually raise the bar. - Strong partnering and communication skills.

DevOps Engineer - Terraform/Docker (3-5 yrs)

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