Programming
Objective CThis is a full-time on-site role for a Technical Project Head with Project leadership & Agile Expertise. They will be responsible for the day-to-day management of projects, ensuring that timelines are met, budgets are adhered to, and communication with stakeholders is maintained. Project Leadership: Lead and manage cross-functional teams to ensure successful development & execution & define the overall architecture and technical direction for development projects Technical Expertise: Demonstrate a deep understanding & Oversee the backend services, databases, and third-party API integration & frontend technologies/tools. And best practices to effectively guide with budgeting & providing technical support to the development team along with assisting them in making architectural decisions. Task Assignment: Define project tasks, allocate resources, and delegate responsibilities to team members while considering their strengths and expertise & assessing the feasibility of cross-platform development, and deciding when to adopt it based on project requirements. Timelines and Milestones: Develop and communicate project timelines, milestones, and deliverables, ensuring alignment with expectations and company objectives. Risk Management: Identify potential project risks, devise mitigation strategies, and proactively address issues to keep the project on track while at the same time ensuring industry-standard security practices, authentication mechanisms, data encryption, and compliance with relevant privacy regulations. Status Updates: Regularly collect updates from team members, track project progress, and provide transparent status reports to stakeholders. Problem Solving: Swiftly addresses technical challenges, conflicts, and roadblocks, making data-driven decisions to ensure project momentum. Quality Assurance: Implement quality control measures to guarantee that the final product aligns with the project scope, technical standards, and requirements. Deadline Adherence: Employ effective time management strategies to meet project deadlines and exceed expectations. Documentation: Prepare the technical documentation, flow, and execution plan of the project including specifications & architecture. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (Master's preferred). Proven experience (5+ years) as a Senior IT Project Manager leading similar successful responsibilities mentioned above. Proficiency in frontend technologies such as HTML, CSS, JavaScript, and related frameworks. Strong knowledge of backend technologies such as databases (SQL, NoSQL), server-side scripting (PHP, Node.js, Python, etc.), API integrations & development. Solid understanding of project management methodologies (Agile, Scrum, etc.). Excellent leadership, interpersonal, and team-building & management skills.
Shubham Vishwakarma
Full Stack Developer - Averlon
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JOB DETAILS:
* Job Title: Lead I - Azure, Terraform, GitLab CI
* Industry: Global Digital Transformation Solutions Provider
* Salary: Best in Industry
* Experience: 3-5 years
* Location: Trivandrum/Pune
Job Description
Job Title: DevOps Engineer
Experience: 4–8 Years
Location: Trivandrum & Pune
Job Type: Full-Time
Mandatory skills: Azure, Terraform, GitLab CI, Splunk
Job Description
We are looking for an experienced and driven DevOps Engineer with 4 to 8 years of experience to join our team in Trivandrum or Pune. The ideal candidate will take ownership of automating cloud infrastructure, maintaining CI/CD pipelines, and implementing monitoring solutions to support scalable and reliable software delivery in a cloud-first environment.
Key Responsibilities
- Design, manage, and automate Azure cloud infrastructure using Terraform.
- Develop scalable, reusable, and version-controlled Infrastructure as Code (IaC) modules.
- Implement monitoring and logging solutions using Splunk, Azure Monitor, and Dynatrace.
- Build and maintain secure and efficient CI/CD pipelines using GitLab CI or Harness.
- Collaborate with cross-functional teams to enable smooth deployment workflows and infrastructure updates.
- Analyze system logs, performance metrics, and s to troubleshoot and optimize performance.
- Ensure infrastructure security, compliance, and scalability best practices are followed.
Mandatory Skills
Candidates must have hands-on experience with the following technologies:
- Azure – Cloud infrastructure management and deployment
- Terraform – Infrastructure as Code for scalable provisioning
- GitLab CI – Pipeline development, automation, and integration
- Splunk – Monitoring, logging, and troubleshooting production systems
Preferred Skills
- Experience with Harness (for CI/CD)
- Familiarity with Azure Monitor and Dynatrace
- Scripting proficiency in Python, Bash, or PowerShell
- Understanding of DevOps best practices, containerization, and microservices architecture
- Exposure to Agile and collaborative development environments
Skills Summary
Azure, Terraform, GitLab CI, Splunk (Mandatory) Additional: Harness, Azure Monitor, Dynatrace, Python, Bash, PowerShell
Skills: Azure, Splunk, Terraform, Gitlab Ci
******
Notice period - 0 to 15days only
Job stability is mandatory
Location: Trivandrum/Pune
Kubernetes
DockerJob Details
- Job Title: Senior DevOps Engineer
- Industry: Consumer Internet, Technology & Travel and Tourism Platform
- Function - IT
- Experience Required: 4-7 years
- Employment Type: Full Time
- Job Location: Bengaluru
- CTC Range: Best in Industry
Criteria:
- Strong DevOps / Infrastructure Engineer Profiles.
- Must have 4+ years of hands-on experience working as a DevOps Engineer / Infrastructure Engineer / SRE / DevOps Consultant.
- Must have hands-on experience with Kubernetes and Docker, including deployment, scaling, or containerized application management.
- Must have experience with Infrastructure as Code (IaC) or configuration management tools such as Terraform, Ansible, Chef, or Puppet.
- Must have strong automation and scripting experience using Python, Go, Bash, Shell, or similar scripting languages.
- Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Kafka.
- Candidate must demonstrate strong expertise in at least one of the following areas - Databases / Distributed Data Systems, Observability & Monitoring, CI/CD Pipelines. Networking Concepts, Kubernetes / Container Platforms
- Candidates must be from B2C Product-based companies only.
- (Education) – BE / B.Tech or equivalent
Preferred
- Experience working with microservices or event-driven architectures.
- Exposure to cloud infrastructure, monitoring, reliability, and scalability practices.
- (Skills) – Understanding of programming languages such as Go, Python, or Java.
- Preferred (Environment) – Experience working in high-scale production or fast-growing product startups.
Job Description
As a DevOps Engineer, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.
Job Responsibilities:
- Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
- Codify our infrastructure
- Do what it takes to keep the uptime above 99.99%
- Understand the bigger picture and sail through the ambiguities
- Scale technology considering cost and observability and manage end-to-end processes
- Understand DevOps philosophy and evangelize the principles across the organization
- Strong communication and collaboration skills to break down the silos
PythonJOB DETAILS:
- Job Title: Senior Devops Engineer 2
- Industry: Ride-hailing
- Experience: 5-7 years
- Working Days: 5 days/week
- Work Mode: ONSITE
- Job Location: Bangalore
- CTC Range: Best in Industry
Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)
Criteria:
1. Candidate must be from a product-based or scalable app-based start-ups company with experience handling large-scale production traffic.
2. Minimum 5 yrs of experience working as a DevOps/Infrastructure Consultant
3. Own end-to-end infrastructure right from non-prod to prod environment including self-managed
4. Candidate must have experience in database migration from scratch
5. Must have a firm hold on the container orchestration tool Kubernetes
6. Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
7. Understanding programming languages like GO/Python, and Java
8. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
9. Working experience on Cloud platform - AWS
10. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.
Description
Job Summary:
As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.
Job Responsibilities:
● Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
● Codify our infrastructure
● Do what it takes to keep the uptime above 99.99%
● Understand the bigger picture and sail through the ambiguities
● Scale technology considering cost and observability and manage end-to-end processes
● Understand DevOps philosophy and evangelize the principles across the organization
● Strong communication and collaboration skills to break down the silos
Job Requirements:
● B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience
● Minimum 5 yrs of experience working as a DevOps/Infrastructure Consultant
● Must have a firm hold on the container orchestration tool Kubernetes
● Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
● Strong problem-solving skills, and ability to write scripts using any scripting language
● Understanding programming languages like GO/Python, and Java
● Comfortable working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
What’s there for you?
Company’s team handles everything – infra, tooling, and self-manages a bunch of databases, such as
● 150+ microservices with event-driven architecture across different tech stacks Golang/ java/ node
● More than 100,000 Request per second on our edge gateways
● ~20,000 events per second on self-managed Kafka
● 100s of TB of data on self-managed databases
● 100s of real-time continuous deployment to production
● Self-managed infra supporting
● 100% OSS
Python
Machine Learning (ML)Supercharge Your Career as a AI DevOps Engineer at Technoidentity!
At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.
What’s in it for You?
We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.
What Will You Be Doing?
- Develop and deploy AI/ML and Generative AI solutions using Python.
- Build applications leveraging LLMs, RAG, and AI agents.
- Create and maintain CI/CD pipelines for AI applications.
- Deploy and manage workloads using Docker and Kubernetes.
- Support cloud platforms (AWS, Azure, or GCP).
- Implement Infrastructure as Code (Terraform) and automation workflows.
- Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
- Collaborate with engineering teams to ensure system reliability, performance, and security.
- Contribute to MLOps practices, AI accelerators, and reusable frameworks.
Requirements
What Makes You the Perfect Fit?
- Python programming (mandatory)
- Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
- Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
- Docker, Kubernetes, Git, and CI/CD tools
- AWS, Azure, or GCP
- PostgreSQL; MongoDB and Vector Databases are a plus
- Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
- Familiarity with observability and monitoring tools
Qualifications
- Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
- 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas
Nice to Have
- Experience with Agentic AI frameworks
- Knowledge of MLOps and AI platform operations
- Exposure to enterprise-grade monitoring, reliability engineering, and security best practices
Job Title: Senior AIML Engineer – Immediate Joiner (AdTech)
Location: Pune – Onsite
About Us:
We are a cutting-edge technology company at the forefront of digital transformation, building innovative AI and machine learning solutions for the digital advertising industry. Join us in shaping the future of AdTech!
Role Overview:
We are looking for a highly skilled Senior AIML Engineer with AdTech experience to develop intelligent algorithms and predictive models that optimize digital advertising performance. Immediate joiners preferred.
Key Responsibilities:
- Design and implement AIML models for real-time ad optimization, audience targeting, and campaign performance analysis.
- Collaborate with data scientists and engineers to build scalable AI-driven solutions.
- Analyze large volumes of data to extract meaningful insights and improve ad performance.
- Develop and deploy machine learning pipelines for automated decision-making.
- Stay updated on the latest AI/ML trends and technologies to drive continuous innovation.
- Optimize existing models for speed, scalability, and accuracy.
- Work closely with product managers to align AI solutions with business goals.
Requirements:
- Minimum 4-6 years of experience in AIML, with a focus on AdTech (Mandatory).
- Strong programming skills in Python, R, or similar languages.
- Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Expertise in data processing and real-time analytics.
- Strong understanding of digital advertising, programmatic platforms, and ad server technology.
- Excellent problem-solving and analytical skills.
- Immediate joiners preferred.
Preferred Skills:
- Knowledge of big data technologies like Spark, Hadoop, or Kafka.
- Experience with cloud platforms like AWS, GCP, or Azure.
- Familiarity with MLOps practices and tools.
How to Apply:
If you are a passionate AIML engineer with AdTech experience and can join immediately, we want to hear from you. Share your resume and a brief note on your relevant experience.
Join us in building the future of AI-driven digital advertising!
Key Responsibilities:-
• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution
• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
• Design, develop and maintain the framework for the analytical pipeline
• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation
• Provide input and help implement framework and tools to improve data quality
• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group
• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog
JenkinsAs DevOps Engineer Consultant you will be responsible for Continuous Integration, Continuous Development,
Continuous Delivery with a strong understanding of Business-Driven software integration and delivery approach, you will
be reporting into the Technical Lead.
Responsibilities & Duties
• Ideate and create CI and CD process and documentation for same.
• Ideate and create and Code Maintenance using Visual SVN/Jenkins.
• Design and implement new learning tools or knowledge
Job requirements:
• Should be able to research, design Code Maintenance Process from scratch.
• Should be able to research, design Continuous Integration Process from scratch.
• Should be able to research, design Continuous Development Process from scratch.
• Should be able to research, design Continuous Delivery Process from scratch.
• Should be worked on Install Shield for creating Instable.
• In-depth understanding of principles and best practices of Software Configuration Management (SCM) in Agile,
SCRUM and Waterfall methodologies.
• Experienced in Windows, Linux environment. Good knowledge and understanding of database and application
servers’ administration in a global production environment.
• Should have good understand and Knowledge on Windows and Linux Server Deployment
• Should have good understand and Knowledge on application hosting on Windows IIS
• Experienced in Visual SVN, Gitlab CI and Jenkins for CI and for End-to-End automation for all build and CD.
Mostly with product developed using Dot net technology.
• Experienced in working with version control systems like GIT and used Source code management client tools like
Git Bash, GitHub, Git Lab.
• Experience in using MAVEN/ANT/Bamboo as build tools for the building of deployable artifacts.
• Knowledge of using Routed Protocols: FTP, SFTP, SSH, HTTP, HTTPS and Connect directly.
• Experienced in deploying Database Changes to Oracle, db2, MSSQL and MYSQL databases.
• Having work experience in support of multi-platform like Windows, UNIX, Linux, Ubuntu.
• Managed multiple environments for both production and non-production where primary objectives included
automation, build out, integration and cost control.
• Expertise in trouble shooting the problems generated while building, deploying and production support.
• Good understanding of creating and managing the various development and build platforms and deployment
strategies.
• Excellent Knowledge of Application Lifecycle Management, Change & Release Management and ITIL process
• Exposed to all aspects of software development life cycle (SDLC) such as Analysis, Planning, Developing, Testing,
implementing and Post-production analysis of the projects.
• Good interaction with developers, managers, and team members to coordinate job tasks and strong
commitment to work.
• Documented daily meetings, build reports, release notes and many other day-to-day documentation and status
reports.
• Excellent communicative, interpersonal, intuitive and analytic and leadership skills with teamwork work
efficiently in both independent and teamwork environments.
• Enjoy working on all types of planned and unplanned issues/tasks.
• Implementing gitlab CI, gitlab, docker, maven ect.
• Should have knowledge on docker container which can be utilised in deployment process..
• Good Interpersonal Skills, team-working attitude, takes initiatives and very proactive in solving problems and
providing best solutions.
• Integrating various Version control tools, build tools, deployment methodologies (scripting) into Jenkins or (any
other tool), create an end to end orchestration build cycles.
• Troubleshoot build issues, performance and generating metrics on master's performance along with jobs usage.
• Design develop build and packaging tools for continuous integration build and reporting. Automate the build
and release cycles.
• Coordinate all build and release activities, ensure release processes is well documented, source control
repositories including branching and tagging.
• Maintain product release process, including generating and delivering release packages, generate various
metrics for tracking issues against releases and the means of tracking compatibility among products.
• Maintained and managed cloud & test environments and automation for QA, Product Management and Product
Support
Python• Develop and maintain CI/CD tools to build and deploy scalable web and responsive applications in production environment
• Design and implement monitoring solutions that identify both system bottlenecks and production issues
• Design and implement workflows for continuous integration, including provisioning, deployment, testing, and version control of the software.
• Develop self-service solutions for the engineering team in order to deliver sites/software with great speed and quality
o Automating Infra creation
o Provide easy to use solutions to engineering team
• Conduct research, tests, and implements new metrics collection systems that can be reused and applied as engineering best practices
o Update our processes and design new processes as needed.
o Establish DevOps Engineer team best practices.
o Stay current with industry trends and source new ways for our business to improve.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Manage timely resolution of all critical and/or complex problems
• Maintain, monitor, and establish best practices for containerized environments.
• Mentor new DevOps engineers
What you will bring
• The desire to work in fast-paced environment.
• 5+ years’ experience building, maintaining, and deploying production infrastructures in AWS or other cloud providers
• Containerization experience with applications deployed on Docker and Kubernetes
• Understanding of NoSQL and Relational Database with respect to deployment and horizontal scalability
• Demonstrated knowledge of Distributed and Scalable systems Experience with maintaining and deployment of critical infrastructure components through Infrastructure-as-Code and configuration management tooling across multiple environments (Ansible, Terraform etc)
• Strong knowledge of DevOps and CI/CD pipeline (GitHub, BitBucket, Artifactory etc)
• Strong understanding of cloud and infrastructure components (server, storage, network, data, and applications) to deliver end-to-end cloud Infrastructure architectures and designs and recommendations
o AWS services like S3, CloudFront, Kubernetes, RDS, Data Warehouses to come up with architecture/suggestions for new use cases.
• Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
Good to have
• Experience with code quality tools, static or dynamic code analysis and compliance and undertaking and resolving issues identified from vulnerability and compliance scans of our infrastructure
• Good knowledge of REST/SOAP/JSON web service API implementation
•
Programming
iOS App DevelopmentObjective C
Swift
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon