11+ Deployment management Jobs in Coimbatore | Deployment management Job openings in Coimbatore

Job Title: Deployment Lead (Python, Linux, AWS) 

Location: Coimbatore

Overview 

We are seeking an experienced Deployment Lead to oversee the end-to-end deployment lifecycle of our applications and services. The ideal candidate will have deep expertise in Python, strong Linux administration skills, and hands-on experience with AWS cloud infrastructure. You will work closely with engineering, DevOps, QA, and product teams to ensure reliable, repeatable, and scalable deployments across multiple environments. 

Key Responsibilities 

• Lead and manage deployment activities for all application releases across development, staging, and production environments. 
• Develop and maintain deployment automation, scripts, and tools using Python and shell scripting. 
• Own and optimize CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline). 
• Oversee Linux server administration, including configuration, troubleshooting, performance optimization, and security hardening. 
• Design, implement, and maintain AWS infrastructure (EC2, S3, Lambda, IAM, RDS, ECS/EKS, CloudFormation/Terraform). 
• Ensure robust monitoring, logging, and alerting using tools such as CloudWatch, Grafana, Prometheus, or ELK. 
• Collaborate with developers to improve code readiness for deployment and production reliability. 
• Manage environment configurations and ensure consistency and version control across environments. 
• Lead incident response during production issues; conduct root-cause analysis and implement long-term fixes. 
• Establish and enforce best practices for deployment, configuration management, and operational excellence. 

Required Skills & Qualifications 

• 5+ years of experience in deployment engineering, DevOps, or site reliability engineering roles. 
• Strong proficiency in Python for automation and tooling. 
• Advanced experience with Linux systems administration (Ubuntu, CentOS, Amazon Linux). 
• Hands-on work with AWS cloud services and infrastructure-as-code (CloudFormation or Terraform). 
• Experience with containerization technologies such as Docker and orchestration platforms like ECS, EKS, or Kubernetes. 
• Strong understanding of CI/CD tools and automated deployment strategies. 
• Familiarity with networking concepts: DNS, load balancers, VPCs, firewalls, VPN, and routing. 
• Expertise with monitoring, alerting, and logging solutions. 
• Strong problem-solving and analytical skills; able to lead troubleshooting efforts. 
• Excellent communication and leadership abilities. 

Job Description Back-End Developer, Portfolio Management System Dedicated Engagement — Hurricane Capital Role Snapshot Engagement: Dedicated resource, employed/contracted through Transient.AI, invoiced to Hurricane Capital. 100% committed to Hurricane's work — not shared across accounts. Level: Mid-Level back-end developer (not junior, not principal). Location: Remote. Onshore or offshore, but must work U.S. East Coast hours. Type: Full-time, dedicated. Start: As soon as possible. MVP target: end of year. Works with: Rob and Rehan (Hurricane), plus Transient-side engineering for code review. The Work Hurricane Capital is building a portfolio management system from the ground up. This is fully Greenfield — the infrastructure does not exist yet, so you are building it, not maintaining someone else's. The immediate focus is Bloomberg connectivity and the Python back-end that market data flows through. You will be a dedicated engineer for Hurricane, working alongside Rob and Rehan in real time. Because the codebase lives on the Transient side and is reviewed before merge, you will also coordinate directly with Transient engineering. What You'll Own ● Build back-end services and APIs in Python from scratch for the portfolio management system. ● Implement and troubleshoot Bloomberg API connectivity for market data ingestion. ● Design and maintain the data layer — Postgres and SQL, with Snowflake as the cloud data warehouse. ● Work with Azure cloud infrastructure as the system requires. ● Collaborate live over Teams during East Coast hours to co-work and troubleshoot with Rob and Rehan. ● Coordinate with Transient engineering on code review and merges into the shared codebase. What Good Looks Like ● A working MVP of the portfolio management system is delivered by end of year, built in parallel with existing workstreams. ● Bloomberg connectivity is completed and stable, with market data flowing reliably through the Python APIs. ● Hurricane's work moves in real time — no waiting on cross-account turnaround, because this capacity is dedicated. ● Code clears Transient-side review cleanly, with trust established during hiring so there is no gating delay. Must Have ● Strong Python for back-end and API development. ● Hands-on Bloomberg API experience. ● Ability to work U.S. East Coast hours consistently (non-negotiable — daily live collaboration depends on it). ● Database experience: SQL and Postgres. Strong Plus ● Snowflake (cloud data warehouse). ● Azure cloud experience. ● JavaScript. ● Familiarity with capital markets or market data products. Nice for Later The MVP does not require AI/ML work. Over time the system is expected to move in that direction, so appetite to learn and grow into AI-enabled features is a genuine plus — and part of what makes this role interesting. Why This Role ● Completely Greenfield — you build the entire infrastructure from the ground up, not patch an existing system. ● Dedicated to one team, working directly with Rob and Rehan rather than split across clients. ● A clear path to grow into AI-enabled portfolio management as the system matures.

AI/ML Engineer AI Operating System for Capital Markets Location Bangalore/Chennai Experience 5+ years Function Artificial Intelligence / Machine Learning Employment Type About Transient.AI Full-time Transient.AI is building a next-generation AI Operating System for capital markets — a unified intelligence layer that connects research, trading, compliance, and sales functions at banks and hedge funds. Today, these teams largely operate on disconnected legacy systems, forcing manual, expensive workarounds. Transient.AI replaces that fragmentation with a single AI-native layer built for institutional-grade compliance, security, and auditability. The company already has live products in market, including Caddie.AI (a research automation tool that cuts hedge fund research time significantly), ClarityRIA (helping sales teams identify the right investors in seconds), and CapFlo.AI (automated parsing of complex derivatives contracts). Founded by former traders and technologists from Goldman Sachs, Credit Suisse, UBS, and McKinsey, Transient.AI is headquartered in New York, with teams in Miami, Singapore, and India. The company has raised Series A funding and is scaling its engineering and product organization globally. Role Overview Transient.AI is hiring an experienced AI/ML Engineer to join its India engineering team in Bangalore/Chennai. This is a hands-on, build-from-scratch role — you'll be designing and shipping the core machine learning systems that power the company's flagship products, working closely with founders and senior engineers rather than inheriting existing infrastructure. Key Responsibilities • Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration). • Workonapplied NLP/LLMsystems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines. • Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems. • Ownmodelperformance, reliability, and cost — from experimentation through production deployment. • Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration. • Ensuresystems meet the compliance, auditability, and security standards required in regulated financial environments. What We're Looking For • 5+years ofexperience building and deploying machine learning or AI systems in production.• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent). • Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly valued. • Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning). • Prior experience at a strong product company, high-growth startup, or a top-tier engineering background • Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity. • Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory. WhyJoin Transient.AI • Build core AI systems from the ground up — not maintain legacy code. • Workdirectly with founders who have deep, first-hand Wall Street experience (Goldman Sachs, Credit Suisse, UBS, McKinsey). • JoinaSeries A-funded company solving a real, expensive problem for institutional finance. • Bepart ofasmall, global team with outsized ownership and impact. .

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Key Responsibilities

AI/ML & Python Development

• Design, develop, and integrate AI-powered solutions and intelligent features using Python.
• Build and implement Retrieval-Augmented Generation (RAG) pipelines to enhance knowledge retrieval and contextual AI responses.
• Develop AI applications using modern frameworks and tools such as LangChain, LlamaIndex, and AI Agents/Autonomous Workflows.
• Integrate Large Language Model (LLM) APIs, including OpenAI and similar platforms, into enterprise-grade applications.
• Design, implement, and manage vector databases to enable semantic search and AI-driven information retrieval.
• Collaborate with cross-functional teams to evaluate, fine-tune, and optimize AI models for performance, scalability, and accuracy.
• Stay updated with emerging AI technologies, frameworks, and industry best practices to drive innovation.

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

About the Role

At Techjays, we build production-grade AI systems for global clients. We are looking for a Solution Architect who can bridge the gap between client needs and technical delivery — someone who can walk into a client room, understand their business challenges, and walk out with a compelling, technically sound AI solution.

This role sits at the intersection of pre-sales, solutioning, and delivery governance.

What You'll Do

• Own end-to-end solutioning from client discovery to architecture design
• Partner with pre-sales teams on RFPs, proposals, and client presentations
• Define architectures for LLM integrations, RAG pipelines, and agentic workflows
• Conduct architecture reviews and technical assessments for ongoing projects
• Act as a trusted technical advisor to enterprise clients during pre-sales

Key Skills

• Python, REST APIs, Microservices, Distributed Systems
• AWS / Azure / GCP, Docker, Kubernetes, CI/CD
• LLM Integrations, RAG Pipelines, AI Agents, Vector Databases
• Enterprise data architecture and integration patterns
• Strong client communication and presentation skills

Who You Are

• Client-first mindset — listens, understands, and translates business pain into technical clarity
• Strong communicator comfortable with C-level stakeholders
• High ownership — accountable for every solution you sign off on
• Collaborative across sales, delivery, and engineering

What We Offer

• Flexible work environment
• Paid holidays & flexible time off
• Medical insurance (Self & Family up to ₹4 Lakhs)
• Exposure to global clients and high-impact pre-sales engagements
• A culture of clarity, integrity, and continuous growth

Role & responsibilities

• Senior Java developer with 6 to 10 years of experience having worked on Java, SpringBoot, Hibernate, Microservices, Redis, AWS S3
• Contribute to all stages of the software development lifecycle
• Design, implement, and maintain Java-based applications that can be high-volume and low-latency
• Analyze user requirements to define business objectives
• Envisioning system features and functionality
• Define application objectives and functionality
• Ensure application designs conform to business goals
• Develop and test software
• Should have good experience in Code Review
• Expecting to be 100% hands-on while working with the clients directly
• Performing requirement analysis
• Developing high-quality and detailed designs
• Conducting unit testing using automated unit test frameworks
• Identifying risk and conducting mitigation action planning
• Reviewing the work of other developers and providing feedback
• Using coding standards and best practices to ensure quality
• Communicating with customers to resolve issues
• Good Communication Skills 

About the role:

As a team member at TrusTrace, you’ll get to solve challenging, real-world problems that truly make a difference to society.

As a Product Developer at TrusTrace, you’ll get to solve challenging and real-time problems using cutting edge technologies. You get to work with industry thought leaders and big-name brands. You will work with the product team to materialize the requirements into pieces of user stories and priorities. You will get hands-on experience in polyglot programming to build solutions and write tests to ensure quality code. (We primarily work on Java, typescript/node, and golang). If you build it, you will own it, i.e . you will be generating metrics, track improvements, and bug fixes for features that are built and shipped by you.

Experience & Skills: (3 – 6 Years) The successful candidate will have

• Passion for problem-solving.
• Flexibility to multitask and re-priorities when necessary.
• Ability to work in an agile and customer-eccentric team.
• Open to learning new technologies.
• Prior saas/start-up experience is preferable, but not mandatory.
• Hands-on experience in back-end technologies and have a strong understanding of core data structure and design patterns.
• Commanding knowledge in HLD/LLD
• Basics of system design and distributed systems
• Strong fundamentals in frameworks like Spring MVC, Spring Security, Spring Data, and Spring-boot.
• Sound knowledge in Java and JVM ecosystem.
• Write the production-grade test code. Junit/ TestNG
• Proficiency with Rest API performance and OpenAPI standards.
• Experience in building cache layers and invalidate them properly ;-)
• Strong knowledge of NoSQL(Mongo) database.
• Experience with Elastic search or Solr is preferred.
• Basics understanding of cloud infrastructures (Preferably AWS) and CI/CD pipelines.
• Should have startup/product Experience

Educational Qualification : Preferably from CS/Circuit Background

·        Should have 5 to 6 years of work experience as a Python Developer

·        Expertise in at least one popular Python framework (like Django, Flask or Pyramid)

·        Knowledge of object-relational mapping (ORM)

·        Familiarity with front-end technologies (like JavaScript and HTML5)

·        Should have completed B.E/B.Tech. /MCA in any field.

·        Good problem-solving skills and Team spirit.

·        Writing scalable code using Python programming language.

·        Testing and debugging applications.

·        Developing back-end components.

·        Integrating user-facing elements using server-side logic.

·        Assessing and prioritizing client feature requests.

·        Integrating data storage solutions.

Job description

Strong experience with Laravel Framework

Experience in databases like MySQL

Experience in HTML, JavaScript, CSS, Angular/ReactJS/VUEJS, JQuery, Bootstrap, JSON

Requirement

Minimum 3+ years of Laravel Experience - building database-driven applications

Knowledge of Event Driven Architecture, Microservices, etc

Basic knowledge of Dev-ops - AWS, Github- Familiarity