We are seeking a motivated Junior DevOps Engineer with hands-on knowledge of AWS services, system administration, container orchestration, and CI/CD pipelines. The role involves managing Dev, Test, UAT, and Production environments, ensuring smooth deployments, and maintaining system reliability and scalability. Requirements Cloud & Infrastructure (AWS) Work with EC2, S3, EBS, EKS, Lambda Functions, Subnets, Route 53 for provisioning and managing cloud infrastructure Implement secure and cost-efficient cloud setups across multiple environments (Dev/Test/UAT/Prod). Monitor and optimize AWS resources for performance and availability. System Administration Configure and maintain firewalls, webservers (Nginx/Traefik), and secure network setups Deploy and manage Docker containers and Kubernetes clusters for application workloads Troubleshoot and resolve server, container, and network-related issues. DevOps & Tools Build and maintain CI/CD pipelines using Jenkins and GitHub Actions Use Doppler and Portainer (good to have) for secrets and container management. Automate infrastructure setup and deployments with best practices. Collaborate with developers to streamline code releases and environment management. General DevOps Tasks Manage Dev, Test, UAT, and Production setups with proper versioning and environment segregation. Support deployment rollbacks, monitoring, and log analysis. Participate in setting up automated testing, deployment approvals, and production releases. Ensure security best practices, backup strategies, and DR processes. Required Skills Strong fundamentals in AWS (EC2, S3, EBS, EKS, Lambda, Route 53, networking basics). Hands-on with Docker and containerized workloads. Exposure to Kubernetes and its ecosystem. Experience with CI/CD tools: Jenkins (mandatory) and GitHub Actions (mandatory). Knowledge of firewalls, Nginx/Traefik webservers. Familiarity with version control systems (Git/GitHub). Understanding of Dev → Test → UAT → Prod environment setups. Good to Have Knowledge of Doppler for secrets management. Experience with Portainer for container administration. Scripting experience in Bash / Python for automation. Soft Skills Strong problem-solving and troubleshooting ability. Ability to work in a fast-paced, collaborative environment. Eagerness to learn new tools and technologies. Good communication and documentation skills. Benefits Growth Opportunities Exposure to advanced cloud-native tools and architectures. Opportunity to design and manage end-to-end CI/CD pipelines. Hands-on learning with production-grade Kubernetes deployments
We are seeking a motivated Junior DevOps Engineer with hands-on knowledge of AWS services, system administration, container orchestration, and CI/CD pipelines. The role involves managing Dev, Test, UAT, and Production environments, ensuring smooth deployments, and maintaining system reliability and scalability. Requirements Cloud & Infrastructure (AWS) ? Work with EC2, S3, EBS, EKS, Lambda Functions, Subnets, Route 53 for provisioning and managing cloud infrastructure ? Implement secure and cost-efficient cloud setups across multiple environments (Dev/Test/UAT/Prod). ? Monitor and optimize AWS resources for performance and availability. System Administration ? Configure and maintain firewalls, webservers (Nginx/Traefik), and secure network setups ? Deploy and manage Docker containers and Kubernetes clusters for application workloads ? Troubleshoot and resolve server, container, and network-related issues. DevOps & Tools ? Build and maintain CI/CD pipelines using Jenkins and GitHub Actions ? Use Doppler and Portainer (good to have) for secrets and container management. ? Automate infrastructure setup and deployments with best practices. ? Collaborate with developers to streamline code releases and environment management. General DevOps Tasks ? Manage Dev, Test, UAT, and Production setups with proper versioning and environment segregation. ? Support deployment rollbacks, monitoring, and log analysis. ? Participate in setting up automated testing, deployment approvals, and production releases. ? Ensure security best practices, backup strategies, and DR processes. Required Skills ? Strong fundamentals in AWS (EC2, S3, EBS, EKS, Lambda, Route 53, networking basics). ? Hands-on with Docker and containerized workloads. ? Exposure to Kubernetes and its ecosystem. ? Experience with CI/CD tools: Jenkins (mandatory) and GitHub Actions (mandatory). ? Knowledge of firewalls, Nginx/Traefik webservers. ? Familiarity with version control systems (Git/GitHub). ? Understanding of Dev ? Test ? UAT ? Prod environment setups. Good to Have ? Knowledge of Doppler for secrets management. ? Experience with Portainer for container administration. ? Scripting experience in Bash / Python for automation. Soft Skills ? Strong problem-solving and troubleshooting ability. ? Ability to work in a fast-paced, collaborative environment. ? Eagerness to learn new tools and technologies. ? Good communication and documentation skills. Benefits Growth Opportunities ? Exposure to advanced cloud-native tools and architectures. ? Opportunity to design and manage end-to-end CI/CD pipelines. ? Hands-on learning with production-grade Kubernetes deployments
As an erwin Data Modeler in Bengaluru South, your role involves developing and maintaining data models to support business needs. Your key responsibilities will include: - Designing and implementing database schemas - Analyzing system requirements - Ensuring data consistency and integrity - Creating data solutions that align with organizational goals - Collaborating with developers, analysts, and project teams to streamline data architecture To excel in this role, you are expected to have the following qualifications: - Proficiency in data modeling tools, including expertise in erwin Data Modeler and database schema design - Strong knowledge of relational databases (e.g., Oracle, SQL Server, MySQL) and expertise in their optimization and maintenance - Experience with data architecture, data integration, and ensuring data governance and consistency - Collaboration and problem-solving skills to work effectively with diverse teams including analysts and developers - Bachelor's degree in Computer Science, Information Systems, or a related field - Ability to work on-site in Bengaluru South and adapt to a contract role environment Additionally, knowledge of big data or NoSQL database systems is considered a plus.,
Responsibilities: You have at least 4+ year of hands-on experience in creating public, complex systems using multiple languages. • You are proficient in PostgreSQL / MySQL, Node.js and ,ReactjS • You have built REST API’s. • You know your way around HTML and CSS. • Write tests for the functionality you implement. • Experience deploying apps on any of the public cloud providers like AWS, GCP or Azure. • Experience with common development tools such as Yarn, Git, Visual Studio Code, etc. • Being able to work autonomously, quick learner and enthusiastic to learn new technologies. • Developer Responsibilities: • Participate in our product development from ideation to deployment and beyond. • Create groundbreaking new features for our users and customers, and for internal use. • Work with our data team to make our product smarter and more intuitive to use. • Maintain and help optimize existing systems Requirements Education And Experience Required: • Bachelor's or Master's engineering degree in Computer Science, Information Systems. • Typically, 2-7 years of experience
Contract duration : 6 months Role Overview : We’re looking for a Python Engineer (2–4 years) who’s strong in backend development and has hands-on experience implementing aggregation and data computation use cases — such as device-level rollups, metrics computation, time-based summaries, or multi-source joins. You’ll work closely with platform, data, and product teams to design efficient aggregation logic and APIs that serve real-time and historical analytics, and you’ll help make Condense’s data platform more intelligent and scalable. Key Responsibilities : · Design and implement data aggregation logic for device, customer, or time-window-based metrics using Python. · Build clean, maintainable backend services or microservices that perform aggregations and expose results through APIs or data sinks. · Work with internal teams to translate business or analytics needs into efficient aggregation pipelines. · Optimize data handling — caching, indexing, and computation efficiency for large-scale telemetry data. · Collaborate with DevOps and data teams to integrate with databases, message queues, or streaming systems. · Write high-quality, tested, and observable code — ensuring performance and reliability in production. · Contribute to design discussions, reviews, and documentation across backend and data infrastructure components. Required Qualifications : · 2–4 years of professional experience as a Python Developer / Backend Engineer. · Strong proficiency with Python (async programming, data structures, I/O, concurrency). · Experience with data aggregation, metrics computation, or analytics workflows (batch or incremental). · Sound understanding of REST APIs, microservice architecture, and database design (SQL/NoSQL). · Familiarity with cloud-native development and containerized deployment (Docker, Kubernetes). · Hands-on with data access and transformation using libraries like pandas, SQLAlchemy, or FastAPI/Flask for backend services. · Excellent debugging, profiling, and optimization skills. Good to Have : · Exposure to real-time data pipelines (Kafka, Kinesis, Pulsar, etc.) or streaming frameworks (Kafka Streams, ksqlDB, Faust). · Experience with time-series databases or analytics stores (ClickHouse, Timescale, Druid, etc.). · Understanding of event-driven or stateful aggregation patterns (tumbling/sliding windows, deduplication). · Familiarity with CI/CD, observability tools (Prometheus, Grafana), and monitoring best practices. · Experience working in IoT, mobility, or telemetry-heavy product environments. What Success Looks Like : · You deliver robust, scalable aggregation logic that enables downstream analytics and dashboards. · Code is clean, performant, and maintainable, following engineering best practices. · Aggregation jobs and APIs are well-monitored and observable, enabling smooth production operation. · You work effectively across teams — platform, DevOps, and product — to deliver data-backed insights faster. · You continuously learn and adopt best practices from the Python and data engineering ecosystem
Contract duration : 6 months Role Overview : We are seeking an AI Engineer (5+ years' experience) with expertise in LLMs, contextual autocomplete, and AI agent frameworks. You will design and implement AI-powered features such as code autocomplete, intelligent assistants for Kafka and Kubernetes, observability integrations, and extensible agent frameworks that interface with external systems and Condense backend APIs. Key Responsibilities : · Design and implement AI-powered features within Condense, including developer assistance, intelligent automation, and contextual data exploration. · Integrate large language models (LLMs) and related technologies into Condense’s platform in a scalable, secure, and cost-efficient way. · Build and extend intelligent assistants/agents that interact with both Condense services (Kafka, pipelines, observability, cloud infrastructure) and external systems. · Develop frameworks and APIs that enable extensibility, so customers and partners can plug in custom AI-powered capabilities. · Collaborate with backend, frontend, and product teams to create intuitive AI-driven user experiences inside Condense’s developer and operator workflows. · Evaluate, fine-tune, and optimize LLMs, embeddings, and retrieval systems to provide context-aware completions and insights. · Research emerging trends in applied AI for cloud, data streaming, and DevOps, and bring best practices into the product. · Ensure reliability, performance, and cost-efficiency of AI workloads in multi-tenant, cloud-native deployments (BYOC model). Required Qualifications : · 4+ years of experience in AI/ML engineering, with focus on LLMs and intelligent assistants. · Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) or open-source models (LLaMA, Mistral, Falcon, etc.). · Strong programming skills in Python (primary) and familiarity with backend stacks (Java, Go, Node.js). · Experience with retrieval-augmented generation (RAG), embeddings, and vector stores (Pinecone, Weaviate, Milvus, FAISS). · Understanding of Kafka, and other real-time streaming systems. · Knowledge of Kubernetes and cloud-native deployment patterns. · Exposure to observability stacks (Prometheus, Grafana) and DevOps workflows. · Strong problem-solving aptitude and ability to work across product, engineering, and UX teams. Nice-to-Have Skills : · Experience building AI-powered developer tools (autocomplete, code assistants, linters). · Familiarity with LangChain, Semantic Kernel, or similar agent frameworks. · Experience with multi-agent orchestration for complex workflows. · Understanding of cost optimization for AI workloads in SaaS or BYOC deployments. · Contributions to open-source AI, streaming, or DevOps ecosystems.
Contract duration : 6 months Key Requirements: • Review and analyze system specifications • Execute test cases (manual or automated) and analyze results • Report bugs and errors to development teams • Help troubleshoot issues • Conduct post-release/ post-implementation testing • Work with cross-functional teams to ensure quality throughout the software development lifecycle • Should have hands-on experience in Java-selenium • Should have hands-on experience in TestNG • Should have hands-on experience in Performance Testing like Jmeter, along with the above skills. The employee will be responsible for creating JMeter scripts, running tests, analyzing results and reporting issues • Required 2-3 years of API Testing • Hands on Experience in Java, SQL • Basic knowledge of Mobile Testing Android and IOS Education and Experience Required: • Bachelor's or Master's engineering degree in Computer Science, Information Systems. • Typically, 4-5 years of experience.
Contract duration : 6 months Role Summary: We are looking for an experienced Release Manager to own and manage the end-to-end release lifecycle for complex, multi-component Telematics platform. This role ensures that software releases are planned, coordinated, and delivered smoothly across development, QA, and production environments, while maintaining quality, compliance, and minimal risk. The ideal candidate will have strong expertise in release governance, Deployment process and cross-functional coordination in an Agile/DevOps environment.--- Key Responsibilities: Release Planning & Governance ● Define and maintain the release calendar, aligning with business priorities and sprint cycles. ● Coordinate with development, QA, DevOps, and product teams to ensure readiness for each release. ● Manage scope freeze, code freeze, and change control processes. ● Prepare and publish release notes, communicate timelines, and track dependencies. Sprint Planning & Governance ● Facilitate Sprint Planning sessions to align development teams with product priorities. ● Ensure backlog readiness and dependency mapping before sprint start. ● Track sprint commitments vs. capacity and monitor progress using Agile metrics. ● Coordinate with Product Owner and Tech Lead, Developers to resolve blockers. ● Maintain visibility of sprint goals and ensure alignment with release objectives. Deployment & Environment Management : ● Oversee build and deployments in collaboration with DevOps SME. ● Ensure environment readiness (Dev, QA, UAT, Production) for each release(As applicable). ● Plan and execute deployment strategies (As Required). ● Define and validate rollback plans for risk mitigation. Risk & Compliance ● Identify release risks and develop mitigation strategies. ● Maintain an audit trail of release activities and approvals. Collaboration & Communication ● Act as the primary point of contact for all release-related activities. ● Facilitate release readiness reviews and go/no-go meetings. ● Communicate release status, risks, and issues to stakeholders. --- Required Skills & Experience: ● Experience: 8+ years in IT with at least 3+ years in Release Management. ● Tools & Processes: Strong knowledge of Deployment Pipelines, version control (Git), and release automation tools (Jenkins, GitLab, Azure DevOps, etc.). ● Agile & DevOps: Familiarity with Scrum/Kanban and DevOps practices. ● Technical Awareness: Understanding of microservices architecture, cloud platforms (GCP), and container orchestration (Kubernetes). ● Soft Skills: Excellent communication, stakeholder management, and problem-solving skills.
Contract duration : 6 months Role Overview We are looking for a Customer Engineer (Pre-Sales) with 5+ years of experience who combines strong technical understanding with excellent communication skills. In this role, you will partner with sales, product, and engineering teams to engage with customers, design technical solutions, and deliver proofs-of-concept that demonstrate the value of Condense. This position requires strong aptitude, curiosity to learn new technologies, and openness to travel to customer sites for workshops, discovery sessions, and PoC deployments. Key Responsibilities Partner with the sales team during customer engagements to translate business requirements into technical solutions using Condense. Conduct technical discovery, solution workshops, and hands-on demonstrations with prospects. Design end-to-end architectures for real-time data streaming use cases from ingestion and transformation to integration with backend and analytics systems. Lead proof-of-concepts (PoCs) that validate Condense's technical fit, performance, and value. Prepare and deliver technical presentations, demos, and solution proposals tailored to customer needs. Collaborate with product and engineering teams by sharing customer insights, feature requests, and improvement ideas. Contribute to reusable demo assets, reference architectures, and best practice guides. Ensure smooth handoff of validated opportunities to customer success and post-sales teams. Travel as needed (within India and occasionally abroad) to meet customers, run workshops, and support PoCs. Required Qualifications 5+ years of experience in customer engineering, pre-sales, solution consulting, or related technical roles. Strong understanding of real-time data streaming architectures, especially Apache Kafka. Good working knowledge of Kubernetes and cloud-native concepts (containers, networking, scaling). Familiarity with at least one public cloud (AWS, Azure, GCP) and its streaming/data services. Exposure to backend stacks (Java, Python, Go, or Node.js) to understand integration patterns. Strong communication and presentation skills; ability to engage both technical and business stakeholders. Hands-on aptitude: comfortable building simple PoCs, demos, or architecture prototypes. Curiosity, quick learning ability, and eagerness to travel and interact directly with customers. Nice-to-Have Skills Knowledge of stream processing frameworks (Kafka Streams, Flink, Spark Streaming, Beam). Understanding of schema management, data serialization formats (Avro, Protobuf, JSON Schema). Familiarity with observability tools (Prometheus, Grafana, OpenTelemetry). Experience with IoT, mobility, energy, or logistics domains. What We're Looking For A problem-solver with the ability to quickly grasp new technologies. Someone who thrives in customer-facing environments and can confidently represent Condense in discussions. A team player who collaborates across sales, engineering, and product functions. Willingness to travel and flexibility to adapt to different customer environments.
Contract duration : 6 months Key Requirements: Review and analyze system specifications Execute test cases (manual or automated) and analyze results Report bugs and errors to development teams Help troubleshoot issues Conduct post-release/ post-implementation testing Work with cross-functional teams to ensure quality throughout the software development lifecycle Should have hands-on experience in Java-selenium Should have hands-on experience in TestNG Should have hands-on experience in Performance Testing like Jmeter, along with the above skills. The employee will be responsible for creating JMeter scripts, running tests, analyzing results and reporting issues Required 2-3 years of API Testing Hands on Experience in Java, SQL Basic knowledge of Mobile Testing Android and IOS Education and Experience Required: Bachelor's or Master's engineering degree in Computer Science, Information Systems. Typically, 4-5 years of experience.
Contract duration : 6 months Role Overview : We are seeking an AI Engineer (5+ years experience) with expertise in LLMs, contextual autocomplete, and AI agent frameworks. You will design and implement AI-powered features such as code autocomplete, intelligent assistants for Kafka and Kubernetes, observability integrations, and extensible agent frameworks that interface with external systems and Condense backend APIs. Key Responsibilities : Design and implement AI-powered features within Condense, including developer assistance, intelligent automation, and contextual data exploration. Integrate large language models (LLMs) and related technologies into Condense's platform in a scalable, secure, and cost-efficient way. Build and extend intelligent assistants/agents that interact with both Condense services (Kafka, pipelines, observability, cloud infrastructure) and external systems. Develop frameworks and APIs that enable extensibility, so customers and partners can plug in custom AI-powered capabilities. Collaborate with backend, frontend, and product teams to create intuitive AI-driven user experiences inside Condense's developer and operator workflows. Evaluate, fine-tune, and optimize LLMs, embeddings, and retrieval systems to provide context-aware completions and insights. Research emerging trends in applied AI for cloud, data streaming, and DevOps, and bring best practices into the product. Ensure reliability, performance, and cost-efficiency of AI workloads in multi-tenant, cloud-native deployments (BYOC model). Required Qualifications : 4+ years of experience in AI/ML engineering, with focus on LLMs and intelligent assistants. Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) or open-source models (LLaMA, Mistral, Falcon, etc.). Strong programming skills in Python (primary) and familiarity with backend stacks (Java, Go, Node.js). Experience with retrieval-augmented generation (RAG), embeddings, and vector stores (Pinecone, Weaviate, Milvus, FAISS). Understanding of Kafka, and other real-time streaming systems. Knowledge of Kubernetes and cloud-native deployment patterns. Exposure to observability stacks (Prometheus, Grafana) and DevOps workflows. Strong problem-solving aptitude and ability to work across product, engineering, and UX teams. Nice-to-Have Skills : Experience building AI-powered developer tools (autocomplete, code assistants, linters). Familiarity with LangChain, Semantic Kernel, or similar agent frameworks. Experience with multi-agent orchestration for complex workflows. Understanding of cost optimization for AI workloads in SaaS or BYOC deployments. Contributions to open-source AI, streaming, or DevOps ecosystems.
Contract duration : 6 months Responsibilities Gathering early non-functional requirements Evaluating functional requirements captured by a business analyst Selecting a technology stack and deployment methods Evaluate and recommend tools, technologies and processes to ensure the highest quality in the product Creating high- and low-level architecture designs and workflows Estimating development time Oversee progress of development team to ensure consistency with initial design Perform regular code reviews Troubleshoot code level problems quickly and efficiently IOT or Telematics domain expertise will be a plus Requirements 7+ years of experience designing and implementing software applications Proven experience as a software architect Excellent knowledge of software and application design and architecture Experience working on complex large-scale software projects Demonstrated knowledge of web applications and open-source technologies Experience developing software utilizing various coding languages including Java, Nodejs, Reactjs and more Understanding of software quality assurance principles Strong grasp of container-based technologies Experience overseeing customized development of processes for multiple projects simultaneously Professional experience analysing code for weaknesses and errors, and overseeing plans to improve them Experience designing secure software systems based upon industry-specific specifications Understanding of cloud platforms and services Solid understanding of a variety of programming tools and development platforms. Excellent organizational and leadership abilities. Highly analytical mindset, with an ability to see both the big picture and the details. Strong communication and presentation skills. Education And Experience Required Bachelor's or Master's engineering degree in Computer Science. Typically, 7+ years experience.
Job Description: Manual Testing Intern Position: Manual Testing Intern Location: Remote/Hybrid Duration: [3/6 months] About the Role We are looking for a detail-oriented and enthusiastic Manual Testing Intern to join our QA team. The intern will assist in testing software applications, identifying defects, documenting test results, and ensuring the overall quality of deliverables. Key Responsibilities Understand functional requirements and create basic test scenarios Execute manual test cases based on project requirements Identify, document, and track defects with proper steps to reproduce Assist in functional, regression, usability, and exploratory testing Collaborate with QA engineers, developers, and product teams Maintain test documentation and update test case repositories Participate in daily standups and QA review sessions Requirements Pursuing or recently completed a degree in Computer Science, IT, or related field Basic understanding of SDLC and STLC Familiarity with types of testing (functional, regression, smoke, UAT, etc.) Knowledge of writing test cases and bug reporting Good analytical and problem-solving skills Strong attention to detail and willingness to learn Nice to Have Basic knowledge of databases and ability to run simple SQL queries Exposure to web or mobile application testing Understanding of API testing concepts What You Will Gain Hands-on experience with real-time testing processes Exposure to QA methodologies, tools, and industry best practices Opportunity to work closely with senior QA engineers Skill development in test documentation, defect reporting, and quality assurance
Job Description: Manual Testing Intern Position: Manual Testing Intern Location: Remote/Hybrid Duration: [3/6 months] About the Role We are looking for a detail-oriented and enthusiastic Manual Testing Intern to join our QA team. The intern will assist in testing software applications, identifying defects, documenting test results, and ensuring the overall quality of deliverables. Key Responsibilities Understand functional requirements and create basic test scenarios Execute manual test cases based on project requirements Identify, document, and track defects with proper steps to reproduce Assist in functional, regression, usability, and exploratory testing Collaborate with QA engineers, developers, and product teams Maintain test documentation and update test case repositories Participate in daily standups and QA review sessions Requirements Pursuing or recently completed a degree in Computer Science, IT, or related field Basic understanding of SDLC and STLC Familiarity with types of testing (functional, regression, smoke, UAT, etc.) Knowledge of writing test cases and bug reporting Good analytical and problem-solving skills Strong attention to detail and willingness to learn Nice to Have Basic knowledge of databases and ability to run simple SQL queries Exposure to web or mobile application testing Understanding of API testing concepts What You Will Gain Hands-on experience with real-time testing processes Exposure to QA methodologies, tools, and industry best practices Opportunity to work closely with senior QA engineers Skill development in test documentation, defect reporting, and quality assurance