11+ ECS Jobs in Coimbatore | ECS Job openings in Coimbatore

Role Summary

As a Data Engineer, you will be an integral part of our Data Engineering team supporting an event-driven server less data engineering pipeline on AWS cloud, responsible for assisting in the end-to-end analysis, development & maintenance of data pipelines and systems (DataOps). You will work closely with fellow data engineers & production support to ensure the availability and reliability of data for analytics and business intelligence purposes.

Requirements:

·      Around 4 years of working experience in data warehousing / BI system.

·      Strong hands-on experience with Snowflake AND strong programming skills in Python

·      Strong hands-on SQL skills

·      Knowledge with any of the cloud databases such as Snowflake,Redshift,Google BigQuery,RDS,etc.

·      Knowledge on debt for cloud databases

·      AWS Services such as SNS, SQS, ECS, Docker, Kinesis & Lambda functions

·      Solid understanding of ETL processes, and data warehousing concepts

·      Familiarity with version control systems (e.g., Git/bit bucket, etc.) and collaborative development practices in an agile framework

·      Experience with scrum methodologies

·      Infrastructure build tools such as CFT / Terraform is a plus.

·      Knowledge on Denodo, data cataloguing tools & data quality mechanisms is a plus.

·      Strong team player with good communication skills.

Overview Optisol Business Solutions

OptiSol was named on this year's Best Companies to Work for list by Great place to work. We are a team of about 500+ Agile employees with a development center in India and global offices in the US, UK (United Kingdom), Australia, Ireland, Sweden, and Dubai. 16+ years of joyful journey and we have built about 500+ digital solutions. We have 200+ happy and satisfied clients across 24 countries.

Benefits, working with Optisol

·      Great Learning & Development program

·      Flextime, Work-at-Home & Hybrid Options

·      A knowledgeable, high-achieving, experienced & fun team.

·      Spot Awards & Recognition.

·      The chance to be a part of next success story.

·      A competitive base salary.

More Than Just a Job, We Offer an Opportunity To Grow. Are you the one, who looks out to Build your Future & Build your Dream? We have the Job for you, to make your dream comes true.

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.

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

Work life balance / Startup / Learning / Good Environment .................................................................

📢 Immediate Hiring – Upcoming Academic Year

🏫 KITE (Institution Name Placeholder)

KITE invites applications from passionate academicians for the positions of Assistant Professor and Associate Professor in the Department of Computer Science & Engineering / Information Technology.

1️⃣ Position: Assistant Professor

Department: CSE / IT

Experience: 0 – 15 Years

Joining: Immediate / Within 1 Month

Salary: As per norms and experience

🎓 Qualification:

• ME / M.Tech in Computer Science Engineering / Information Technology
• Ph.D. (Preferred but not mandatory)
• First Class in UG & PG as per AICTE norms

🔍 Roles & Responsibilities:

• Deliver high-quality lectures for UG / PG programs
• Prepare lesson plans, course materials, and academic content
• Guide student projects and internships
• Participate in curriculum development and academic planning
• Conduct internal assessments, evaluations, and result analysis
• Mentor students for academic and career growth
• Participate in departmental research activities
• Publish research papers in reputed journals (Scopus/SCI preferred)
• Attend Faculty Development Programs (FDPs), workshops, and conferences
• Contribute to NAAC / NBA accreditation processes
• Support institutional administrative responsibilities

💡 Required Skills:

• Strong subject knowledge in CSE / IT domains
• Programming proficiency (Python, Java, C++, Data Structures, AI/ML, Cloud, etc.)
• Excellent communication and presentation skills
• Research orientation and academic enthusiasm
• Team collaboration and mentoring ability

2️⃣ Position: Associate Professor

Department: CSE / IT

Experience: 8 – 20 Years

Joining: Immediate / Within 1 Month

Salary: As per norms and experience

🎓 Qualification:

• Ph.D. in CSE / IT (Mandatory)
• Minimum 2 years completion as Assistant Professor (as per norms)
• Minimum 3 years of relevant experience eligible for Associate Professor cadre
• Strong research and publication record

🔍 Roles & Responsibilities:

• Deliver advanced-level lectures for UG / PG courses
• Lead curriculum design and academic innovation
• Supervise Ph.D., PG, and UG research projects
• Publish high-impact research papers (Scopus / SCI / UGC Care)
• Apply for research grants and funded projects
• Guide faculty members and mentor junior staff
• Head academic committees / lead accreditation processes
• Industry collaboration and consultancy initiatives
• Organize conferences, seminars, workshops, and FDPs
• Contribute to institutional ranking and research visibility

💡 Required Skills:

• Strong research profile with indexed publications
• Leadership and academic administration capability
• Experience in accreditation (NAAC / NBA)
• Industry collaboration exposure
• Excellent academic record and subject expertise

🌟 Preferred Candidate Profile (For Both Roles):

• Passion for teaching and research
• Student-centric approach
• Exposure to Outcome-Based Education (OBE)
• Knowledge of emerging technologies (AI/ML, Data Science, Cybersecurity, Cloud Computing, IoT)
• Strong interpersonal and organizational skills

📌 Why Join KITE?

• Academic excellence-driven environment
• Research-focused culture
• Opportunities for funded projects & consultancy
• Career growth and leadership opportunities
• Competitive salary as per institutional norms

📧 Application Process:

Interested candidates who can join within one month are encouraged to apply immediately for the upcoming academic year.

About Trainery

Trainery is building the next-gen AI-native Talent Management Suite — integrating performance, learning, compensation, and HR operations into one unified experience for modern teams.

We’re setting up our India Development Center and looking for a proactive HR Generalist to lead HR operations, drive recruitment, and help us build a strong and engaged team.

If you’re an energetic people person who enjoys taking ownership, thrives in a fast-paced startup environment, and loves connecting great talent with great opportunities — this role is for you.

What You’ll Do

Recruitment & Talent Acquisition

Own end-to-end recruitment for the India team — from sourcing to onboarding.

Identify, attract, and engage top talent using job boards, LinkedIn, and creative sourcing strategies.

Manage candidate communication, scheduling, and offer rollouts.

HR Operations

Manage employee records, attendance, leave tracking, and payroll coordination.

Support day-to-day HR processes and ensure compliance with internal policies.

Assist with performance reviews, engagement activities, and policy updates

.

Employee Experience & Culture

Facilitate smooth onboarding and orientation for new hires.

Support employee engagement and recognition initiatives.

Act as the go-to person for employee queries and workplace support.

HR Strategy & Process

Partner with leadership to strengthen HR systems and culture at Trainery India.

Implement HR best practices and ensure a people-first approach in all initiatives.

Who You Are

Bachelor’s/MBA degree in Human Resources, Business Administration, or related field.

2+ years of HR Generalist, ideally in a startup environment.

Strong understanding of recruitment workflows and HR operations.

Excellent communication skills — you’re comfortable picking up the phone and engaging confidently.

Self-driven, organized, and able to manage multiple priorities.

Familiar with HRMS/ATS tools and digital collaboration platforms.

Why Join Trainery

Be part of an early-stage team building a high-impact HR tech product.

Take ownership and shape HR practices from the ground up.

Work closely with leadership and cross-functional teams.

Fast-paced, transparent, and growth-oriented culture.

Job Description

What does a successful Senior DevOps Engineer do at Fiserv?

This role’s focus will be on contributing and enhancing our DevOps environment within Issuer Solution group, where our cross functional Scrum teams are delivering solutions built on cutting-edge mobile technology and products. You will be expected to support across the wider business unit, leading DevOps practices and initiatives.

What will you do:

• Build, manage, and deploy CI/CD pipelines.

• DevOps Engineer - Helm Chart, Rundesk, Openshift

• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline.

• Implementing various development, testing, automation tools, and IT infrastructure

• Optimize and automate release/development cycles and processes.

• Be part of and help promote our DevOps culture.

• Identify and implement continuous improvements to the development practice

What you must have:

• 3+ years of experience in devops with hands-on experience in the following:

- Writing automation scripts for deployments and housekeeping using shell scripts (bash) and ansible playbooks

- Building docker images and running/managing docker instances

- Building Jenkins pipelines using groovy scripts

- Working knowledge on kubernetes including application deployments, managing application configurations and persistence volumes

• Has good understanding on infrastructure as code

• Ability to write and update documentation

• Demonstrate a logical, process orientated approach to problems and troubleshooting

• Ability to collaborate with multi development teams

What you are preferred to have:

• 8+ years of development experience

• Jenkins administration experience

• Hands-on experience in building and deploying helm charts

Process Skills:

• Should have worked in Agile Project

Behavioral Skills :

• Good Communication skills

Skills

PRIMARY COMPETENCY : Cloud Infra PRIMARY SKILL : DevOps PRIMARY SKILL PERCENTAGE : 100

Responsibilities :

• Design and execute ‘ Brand positioning strategies ‘ for campuses . Including the execution of quick wins and strategic alignment of long term plans
• Plan and organize ‘campus engagement events’ for better brand positioning
• Primary and secondary research to forecast  and mitigate any brand threats or perception mismatches
• Work with multiple stakeholders in creating brand strategy, designing new programs to help campus students and entry level graduates start and pursue their learning journey from onboarding through deployment
• Project management skills to manage delivery of branding materials like digital content, blogs, mailers, websites, brochures, posters, standees, newsletters, WhatsApp communication posters, events, video storyboarding, press write-ups, with individual accountability
• Conceptualize, create and edit presentations for learning strategists, managers, leadership team, with a high level of accuracy and aesthetic value
• Efficient in designing collaterals with new age themes, attractive messaging, taglines, hashtags, WIIFM strategy that drives a call to action.

1. Proven experience as a Tele Caller or similar sales/customer service role

2. Excellent communication and interpersonal skills

3. Ability to remain calm and professional under pressure

4. Strong sales and negotiation skills

5. Ability to work well in a team

6. Knowledge of Loan Products

7. Keep accurate records of customer interactions and transactions

8. Follow up with customers to ensure customer satisfaction and secure sales

'As a Telecaller, you are responsible for handling sales over the phone entirely. You are also responsible for solving questions in regard to the product or service provided by the company. In addition to this, you should collect desired information from the clients and maintain healthy relations with them.

𝗔𝗯𝗼𝘂𝘁 𝗖𝗲𝗿𝗰𝗹𝗲 𝗫

Cerclex is the one of leadinghttps://cerclex.com/"> waste management company in india which works as a digital technology platform for the waste management and recycling Industry with an extended outlook of circularity through its various ventures into the field of sustainability.

We have received FICCI Impactful Cleantech Startup Award, MeitY Emerging Startup Award, TVS Capital Budding Nxt Gen Entrepreneur Award, and many more for our digital solutions enabling transactions between waste generators, and aggregators, processors, and bringing in complete transparency, traceability to the waste ecosystem.

CercleX  helps brands to accomplish their sustainability targets withhttps://cerclex.com/extended-producer-responsibility/"> Extended Producer responsibility and researchhttps://cerclex.com/blog/the-effects-of-solid-waste-on-environment/"> solid waste managemet on the environment to ensure the environment is eco free.

To succeed as a backend developer, you should be focused on building a better, more efficient program and creating a better end-user experience. You should be knowledgeable, collaborative, and motivated.

Back-end Developer Responsibilities:

• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement.
• Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience.
• Developing ideas for new programs, products, or features by monitoring industry developments and trends.
• Recording data and reporting it to proper parties, such as clients or leadership.
  Participating in continuing education and training to remain current on best
• practices, learn new programming languages, and better assist other team members.
• Taking lead on projects, as needed.
• Develop web applications and web services using Java Spring Boot, Spring Cloud Frameworks, AWS
  
  Back-end Developer Requirements:
  
  
• Bachelor’s degree in computer programming, computer science, or a related field.
• Fluency or understanding of specific languages, such as Java, Nodejs,React,JSON,PHP, or Python, and operating systems may be required.
• Strong understanding of the web development cycle and programming techniques and tools.
• Focus on efficiency, user experience, and process improvement.