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
About TP Polymer Pvt Ltd
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GitHubJob Details
- Job Title: DevOps and SRE -Technical Project Manager
- Industry: Global digital transformation solutions provider
- Domain - Information technology (IT)
- Experience Required: 12-15 years
- Employment Type: Full Time
- Job Location: Bangalore, Chennai, Coimbatore, Hosur & Hyderabad
- CTC Range: Best in Industry
Job Description
Company’s DevOps Practice is seeking a highly skilled DevOps and SRE Technical Project Manager to lead large-scale transformation programs for enterprise customers. The ideal candidate will bring deep expertise in DevOps and Site Reliability Engineering (SRE), combined with strong program management, stakeholder leadership, and the ability to drive end-to-end execution of complex initiatives.
Key Responsibilities
- Lead the planning, execution, and successful delivery of DevOps and SRE transformation programs for enterprise clients, including full oversight of project budgets, financials, and margins.
- Partner with senior stakeholders to define program objectives, roadmaps, milestones, and success metrics aligned with business and technology goals.
- Develop and implement actionable strategies to optimize development, deployment, release management, observability, and operational workflows across client environments.
- Provide technical leadership and strategic guidance to cross-functional engineering teams, ensuring alignment with industry standards, best practices, and company delivery methodologies.
- Identify risks, dependencies, and blockers across programs, and proactively implement mitigation and contingency plans.
- Monitor program performance, KPIs, and financial health; drive corrective actions and margin optimization where necessary.
- Facilitate strong communication, collaboration, and transparency across engineering, product, architecture, and leadership teams.
- Deliver periodic program updates to internal and client stakeholders, highlighting progress, risks, challenges, and improvement opportunities.
- Champion a culture of continuous improvement, operational excellence, and innovation by encouraging adoption of emerging DevOps, SRE, automation, and cloud-native practices.
- Support GitHub migration initiatives, including planning, execution, troubleshooting, and governance setup for repository and workflow migrations.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related technical discipline.
- 15+ years of IT experience, including at least 5 years in a managerial or program leadership role.
- Proven experience leading large-scale DevOps and SRE transformation programs with measurable business impact.
- Strong program management expertise, including planning, execution oversight, risk management, and financial governance.
- Solid understanding of Agile methodologies (Scrum, Kanban) and modern software development practices.
- Deep hands-on knowledge of DevOps principles, CI/CD pipelines, automation frameworks, Infrastructure as Code (IaC), and cloud-native tooling.
- Familiarity with SRE practices such as service reliability, observability, SLIs/SLOs, incident management, and performance optimization.
- Experience with GitHub migration projects—including repository analysis, migration planning, tooling adoption, and workflow modernization.
- Excellent communication, stakeholder management, and interpersonal skills with the ability to influence and lead cross-functional teams.
- Strong analytical, organizational, and problem-solving skills with a results-oriented mindset.
- Preferred certifications: PMP, PgMP, ITIL, Agile/Scrum Master, or relevant technical certifications.
Skills: Devops Tools, Cloud Infrastructure, Team Management
Must-Haves
DevOps principles (5+ years), SRE practices (5+ years), GitHub migration (3+ years), CI/CD pipelines (5+ years), Agile methodologies (5+ years)
Notice period - 0 to 15days only
Amazon Web Services (AWS)
Jenkins
KubernetesWhy this role exists
Our infrastructure footprint is growing faster than our headcount, and we believe most of that
gap should be closed by automation and AI agents — not by hiring more humans to do toil. We
need someone early in their career who treats manual work as a bug, ships scripts and agents
instead of tickets, and wants to grow into deeper ownership over the next two years.
You will not be the most senior person on the team. You will be the one who multiplies the team.
What you'll own
In your first 1 months
• Take ownership of one slice of our CI/CD pipeline and make it measurably
faster, more reliable, or cheaper. We expect a number on a dashboard to move.
• Build at least three internal automations that replace manual ops toil —
using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force
multiplier.
• Be the first responder for a defined set of alerts. Write the runbooks. Drive
the alert volume down.
• Support senior engineers on AI/ML infrastructure (GPU nodes, inference
services, model deployment) — observe, document, and gradually take on contained
changes under review.
By 3 months you should be
• The go-to person for at least two production systems.
• Shipping routine infrastructure changes without needing senior review.
• Treating "manual" as a code smell.
Required (we will reject without these)
• 0–3 years hands-on experience with one major cloud (AWS, GCP, or
Azure — one is fine, depth beats breadth).
• Fluent in Linux command line, bash, and at least one scripting language
(Python or Go preferred).
• Have shipped something to production that real users hit. A side project
counts; a graded coursework lab does not.
• Comfortable with Docker — you can explain what an image vs. a
container is and why it matters.
• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,
TLS, ports, basic subnets — enough to debug "it works on my machine."
• Git fluency: branches, merges, rebases, conflict resolution.
• CI/CD pipelines — you have authored or substantially modified pipelines
in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."
• Kubernetes basics — kubectl for real work, can read pod logs,
understand deployments and services, can debug a CrashLoopBackOff without
panicking. You do not need to have run a cluster; you do need to have lived inside one.
• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic
CLIs, etc.). You should be able to walk us through specific tasks where they made you
faster, and specific tasks where they failed you and how you noticed. "I have tried it" is
not enough.
Bonus (real plus, not required)
• Infrastructure as Code: Terraform, Pulumi, or Ansible.
• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.
• Have built or extended an LLM-based agent — a custom MCP server, a
scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond
chat-with-Claude.
• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or
ML pipelines.
What we don't care about
• Whether your degree is in CS — or whether you have a degree at all.
• Brand-name companies on your resume.
• Certifications. They are fine. They do not substitute for having shipped.
How we work
• We default to automation. If you do something manually twice, the third
time you script it or hand it to an agent.
• AI agents are part of the workflow, not a novelty. Expect interview
questions about exactly how you use them — and where you have caught them being
wrong.
• Small, reversible changes beat big-bang rollouts.
• Postmortems are blameless and written down.
• We push back on each other. If you only execute, you will be unhappy
here.
How to apply
Send:
• Your resume.
• A short note (≤200 words) describing one infra or automation problem you
solved, and how AI agents factored in — or did not, and why. We read these. Generic
notes get rejected.
Internal note — delete before posting externally
• Comp band, location policy, team name, and reporting line marked
[CONFIRM] need to be filled in before this goes external.
• The Required list is intentionally tight: CI/CD and Kubernetes basics
promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The
remaining pool will skew toward people who have actually shipped infra at a startup, not
bootcamp grads or pure cloud-cert holders.
• IaC, observability, agent-building, and GPU/ML serving stay as bonus.
Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces
hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5
yrs) and raise the band.
• Screening implication: the resume screen should explicitly check for
CI/CD pipeline authorship and any K8s-touching production work. If neither is on the
resume, reject at screen. Do not waste interview slots.
• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of
active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and
screen for it in interview instead). Do not relax the "shipped to production" requirement
— that is the load-bearing filter.
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
Role:
- Developing a good understanding of the solutions which Company delivers, and how these link to Company’s overall strategy.
- Making suggestions towards shaping the strategy for a feature and engineering design.
- Managing own workload and usually delivering unsupervised. Accountable for their own workstream or the work of a small team.
- Understanding Engineering priorities and is able to focus on these, helping others to remain focussed too
- Acting as the Lead Engineer on a project. Helps ensure others follow Company processes, such as release and version control.
- An active member of the team, through useful contributions to projects and in team meetings.
- Supervising others. Deputising for a Lead and/or support them with tasks. Mentoring new joiners/interns and Masters students. Sharing knowledge and learnings with the team.
Requirements:
- Acquired strong proven professional programming experience.
- Strong command of Algorithms, Data structures, Design patterns, and Product Architectural Design.
- Good understanding of DevOps, Cloud technologies, CI/CD, Serverless and Docker, preferable AWS
- Proven track record and expert in one of the field - DevOps/Frontend/Backend
- Excellent coding and debugging skills in any language with command on any one programming paradigm, preferred Javascript/Python/Go
- Experience with at least one of the Database systems - RDBMS and NoSQL
- Ability to document requirements and specifications.
- A naturally inquisitive and problem-solving mindset.
- Strong experience in using AGILE or SCRUM techniques to build quality software.
- Advantage: experience in React js, AWS, Nodejs, Golang, Apache Spark, ETL tool, data integration system, certification in AWS, worked in a Product company and involved in making it from scratch, Good communication skills, open-source contributions, proven competitive coding pro
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
•
DockerDevOps Consultant!! MERN Stack Project Manager – Systems (Enterprise or Solutions) Architect needed!
Hello superstar,
I appreciate you taking time to read this. I have posted a job for developers to work on a start-up, the link is ......
I would need someone with DevOps experience, to ensure that the project is undertaken with the highest standards possible. I have had many experiences where ‘completed’ software after years of development was filled with bugs and it would be more cost-effective to start from scratch than to attempt to find and correct all the bugs.
I have attempted to learn as much as possible, but I now have an opportunity and it would better serve the venture to have someone handle the management of the project to ensure that;
- We choose the most appropriate technology
- We choose competent developers in those technologies
- The architecture and data modeling are clearly defined in a ‘blueprint’ plan
- A DevOps environment and processes are set up and the developers understand what is required
- Proper tests are carried out to ensure everything works as intended
- There are processes for testers to follow and competent testers are selected to follow them
- Accessibility, localization, and internationalization are planned ahead of time
- Security, scalability, and other future probabilities that I may not even be aware of are considered and planned ahead of time
- Documentation and code reviews, refactoring and other quality assurance processes are undertaken
- Working software is produced and systems that enable new developers or teams of people to easily take over and/or contribute new modules or updates in a controlled and organized fashion
- Cost estimates or budgets/projections or use of SaaS, hosting and other 3rd party services and applications
I am more concerned with a professional and world-class organizational system than with any particular type of software been produced as the strong foundation will enable anything to be creating with efficacy and precision.
Again, thank you for reading this, please reply with the word “superstar” anywhere in the second line of your response. I look forward to hearing from you.
Warm wishes DevOps Evangelist,
Amazon Web Services (AWS)Amazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon