50+ DevOps Jobs in Bangalore (Bengaluru) | DevOps Job openings in Bangalore (Bengaluru)

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

AWS DevOps Engineer (1–2 Years Experience)

We are looking for a motivated AWS DevOps Engineer with 1–2 years of experience to join our team. The ideal candidate should have hands-on experience with cloud infrastructure, CI/CD pipelines, and automation tools.

Key Responsibilities

• Manage and maintain cloud infrastructure on Amazon Web Services
• Build and manage CI/CD pipelines for automated deployments
• Work with containerization tools like Docker
• Assist in deployment and orchestration using Kubernetes
• Monitor applications and infrastructure performance
• Collaborate with development teams to improve deployment processes
• Automate infrastructure using scripts and DevOps tools

Required Skills

• 1–2 years experience in DevOps or Cloud Engineering
• Strong knowledge of Amazon Web Services services such as EC2, S3, IAM
• Experience with CI/CD tools like Jenkins or GitHub Actions
• Knowledge of container tools like Docker
• Familiarity with version control systems like Git
• Basic scripting knowledge (Shell / Python)

Good to Have

• Experience with Infrastructure as Code tools like Terraform
• Knowledge of monitoring tools such as Prometheus or Grafana
• Understanding of Linux environments

Job Description:

We are looking for a skilled Ethical Hacker (Penetration Tester) who will be responsible for identifying vulnerabilities in systems, networks, and applications before malicious hackers can exploit them. The role involves conducting security assessments, penetration testing, and recommending security improvements to strengthen the organization’s cybersecurity posture.

Key Responsibilities

·      Conduct penetration testing on web applications, mobile applications, APIs, and networks.

·      Identify security vulnerabilities and weaknesses in systems and infrastructure.

·      Perform vulnerability assessments using automated tools and manual techniques.

·      Simulate cyberattacks to evaluate the effectiveness of existing security measures.

·      Prepare detailed security reports highlighting risks, vulnerabilities, and remediation strategies.

·      Collaborate with development, DevOps, and IT teams to fix security gaps.

·      Ensure compliance with security standards and frameworks such as OWASP, ISO 27001, and NIST.

·      Conduct security audits and risk assessments across digital platforms.

·      Stay updated on the latest hacking techniques, security vulnerabilities, and cyber threats.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field.
• 4+ years of experience in ethical hacking, penetration testing, or cybersecurity.
• Strong knowledge of network security, system security, and application security.
• Experience with security tools such as:
• Burp Suite
• Metasploit
• Nmap
• Wireshark
• Kali Linux
• Knowledge of OWASP Top 10 vulnerabilities.
• Understanding of Linux, Windows, and cloud security environments.
• Strong analytical and problem-solving skills.

Preferred Certifications

• CEH (Certified Ethical Hacker)
• OSCP (Offensive Security Certified Professional)
• CompTIA Security+
• CISSP (optional but valuable)

Key Competencies

• Cybersecurity risk assessment
• Vulnerability management
• Penetration testing methodologies
• Incident response awareness
• Strong documentation and reporting skills

Nice to Have

• Experience in cloud security (AWS, Azure, GCP)

We are seeking a highly skilled DevOps Engineer with 5–8 years of hands-on experience

to join our growing team in Bengaluru. The ideal candidate will have deep expertise in

managing Kubernetes clusters on Azure and AWS, a solid understanding of CI/CD

pipelines using Azure DevOps, and familiarity with container registries across cloud

providers. Exposure to GCP is a strong advantage as we scale across platforms. A

working knowledge of the AI/ML domain will significantly enhance your ability to

support our platform and engineering teams.

Key Responsibilities

• Design and implement Damia deployments via marketplaces (Azure/AWS).

• Design, deploy, and manage scalable, highly available Kubernetes clusters on Azure AKS and AWS EKS.

• Build a fully automated release pipeline for deployment for multiple cloud environments. They will also support delivery teams to train them in managing the deployment in the clients’ environment.

• Set up and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.

• Manage cloud-based container registries (ACR, ECR, GCR) and ensure secure image management practices.

• Develop Infrastructure as Code (IaC) using Terraform, Bicep, or Helm to maintain consistent environments.

• Collaborate closely with ML Engineers and AI researchers to ensure infrastructure supports AI/ML pipelines.

• Monitor system performance and implement robust observability (Prometheus, Grafana, ELK, etc.).

• Work cross-functionally to manage cloud costs, security, and compliance for multi-cloud environments.

• Prepare for upcoming GCP migration initiatives and support cloud-native

development efforts.

Requirements

• 5–8 years of DevOps experience in production-grade environments.

• Strong understanding of Enterprise Linux based deployments (Ex., RHEL, Ubuntu).

• Strong expertise with Kubernetes on Azure (AKS) and AWS (EKS).

• Experience with Azure DevOps Pipelines, Repos, and Artifact management.

• Proficiency in cloud-native tools and container orchestration best practices.

• Familiarity with monitoring, logging, and alerting tools.

• Ability to write automation scripts for customer specific deployments.

• Knowledge in Python or Bash scripting is a must.

• Strong understanding of security best practices and implementations in the production deployments.

• Understanding of software package, container image scanning tools for vulnerabilities and generating regular reports for the same.

• Focus and interest to explore the latest developments in DevSecOps space and adapting to the current needs of the organization

FULL STACK DEVELOPER

JOB DESCRIPTION – FULL STACK DEVELOPER 

Location: Bangalore 

Key Responsibilities:       

Establish processes, SLAs, and escalation protocols for the support & maintenance of web applications       

Manage stakeholders with effective communication & collaborate with cross functional teams to address issues and maintain business continuity.      

Design, implement, unit test, and build business applications using React, React-Native, .Net Core, .Net 8, Azure/AWS and leveraging an agile methodology and latest tech like Agentic AI & Gihub Copilot.     

Facilitate scrum ceremonies including sprint planning, retrospectives, reviews, and daily stand-ups·       

Facilitate discussion, assessment of alternatives or different approaches, decision making, and conflict resolution within the development team       

Develop and administer CI/CD pipelines in cloud-hosted Git repositories, and source control artifacts via Git in alignment with common branching strategies and workflows    

Assist Software Designer/Implementers with the creation of detailed software design specifications      

Participate in the system specification review process to ensure system requirements can be translated into valid software architecture       

Integrate internal and external product designs into a cohesive user experience       

Identify and keep track of metrics that indicate how software is performing     

Handle technical and non-technical queries from the development team and stakeholders      

Ensure that all development practices follow best practices and any relevant policies / procedures 

Other Duties·       Maintain project reporting including dashboards, status reports, road maps, burn down, velocity, and resource utilization.    

Own the technical solution and ensure all technical aspects are implemented as designed. ·       

Partner with the customer success team and aid in triaging and troubleshooting customer support issues spanning across a range of software components, infrastructure, integrations, and services, some of which target 24/7/365 availability     

Flexible to work in rotational shift   

Required Qualification     

Previous experience of leading full stack technology projects with scrum teams and stakeholder management·       

BTech or MTech in computer science, or related field·       

3-5 years of experience.  

Required Knowledge, Skills and Abilities: (Include any required computer skills, certifications, licenses, languages, etc)·      

With Proficiency in .NET Core/.Net 8/, React, React-Native, Redux, Material, Bootstrap, Typescript, SCSS, Microservices, EF, LINQ, SQL, Azure/AWS, CI CD, Agile, Agentic AI, Github Copilot·       

Azure Dev Ops, Design System, Micro front ends, Data Science·       

Stakeholder management & excellent communication skills.    

Must have skills

React - 3 years

React Native - 3 years

Redux - 1 years

Material UI - 1 years

Typescript - 1 years

Bootstrap - 1 years

Microservices - 2 years

SQL - 1 years

Azure - 1 years

Nice to have skills

.NET Core - 3 years

NET 8 - 3 years

AWS - 1 years

LINQ - 1 years

Strong Lead DevOps / Infrastructure Engineer Profiles.

Mandatory (Experience 1) – Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.

Mandatory (Experience 2) – Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization

Mandatory (Experience 3) – Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.

Mandatory (Experience 4) – Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.

Mandatory (Experience 5) – Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.

Mandatory (Experience 6) – Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.

Mandatory (Experience 7) – Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.

Mandatory (Experience 8) – Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.

Mandatory (Company) – Candidates must be from Good / Well Funded / Early Stage Product-based companies.

Mandatory (Education) –B.E/ B.Tech

Job opportunity for Developer -Python Full Stack with Siemens at Bangalore.

Interview Process:

1st round of interview - F2F (in-Person)-Technical

2nd round of interview – F2F /Virtual Interview - Technical

3rd round of interview – Virtual Interview – Technical + HR

Job Title / Designation: Developer -Python Full Stack

Employment Type: Full Time, Permanent

Location: Bangalore

Experience: 3-5 Years Job Description: : Developer -Python Full Stack

We are looking for a python full stack expert who has proven 5+ years of experience in developing automating solutions on Linux based environments. You should be capable of developing python-based web applications or automation solutions and have with excellent knowledge on DB handling and decent knowledge of the K8-based deployment environment.

Required Skills:

• Solid experience in Python back-end technology
• Sound experience in web application development
• Decent knowledge and experience in UI development using JavaScript, React/Angular or related tech stack.
• Strong understanding of software design patterns and testing principles
• Ability to learn and adapt to working with multiple programming languages.
• Experience Docker, ArgoCD, Kubernetes and Terraform
• Understanding of ETL processes to extract data from different data sources is a plus.
• Proven experience in Linux development environments using Python.
• Excellent knowledge in interacting with database systems (SQL, NoSQL) and webservices (REST)
• Experienced in establishing an optimized CI / CD environment relevant to the project.
• Good knowledge on repository management tools like Git, Bit Bucket, etc.
• Excellent debugging skills/strategies.
• Excellent communication skills
• Experienced in working in an Agile environment.

Nice to have

• Good Knowledge in eclipse IDE, developed add-ons/ plugins on eclipse Platform.
• Knowledge of 93K Semiconductor test platforms
• Good know-how of agile management tools like Jira, Azure DevOps.
• Good knowledge of RHEL
• Knowledge of JIRA administration 

NOW HIRING · WORLD-CLASS TALENT Backend Tech Lead (Senior Level Engineering Leadership)

Placed by Recruiting Bond on behalf of a Confidential Digital Platform Leader

📍Location: Bengaluru, India (Hybrid / On-Site)

🏢Sector: Technology, Information & Media

👥Company Size: 500 – 1,000 Employees

💼Employment: Full-Time, Permanent

🎯Experience: 6 – 9 Years (Backend Engineering)

🚀 Level: Tech Lead

ABOUT THIS MANDATE

Recruiting Bond has been exclusively retained by one of India's most well-established digital platform organisations — a company operating at the intersection of Technology, Information, and Media — to identify and place a world-class Backend Tech Lead who can drive a transformational engineering agenda at scale.

This is not an ordinary role. The organisation is executing a high-stakes, large-scale modernisation of its backend infrastructure — migrating from legacy monolithic systems to resilient, cloud-native, AI-augmented distributed architectures that serve millions of concurrent users. The person in this seat will be a core pillar of that transformation.

We are looking exclusively for the top 1% — engineers who think in systems, own outcomes, and lead by example.

THE OPPORTUNITY AT A GLANCE

🏗️ Architecture Ownership

Drive system design decisions across the entire backend platform. Shape the future of distributed, fault-tolerant architecture.

🤖 AI-Augmented Engineering

Embed GenAI and LLM tooling directly into the SDLC. Champion automation-first development practices across squads.

🎓 Engineering Leadership

Mentor and grow the next generation of backend engineers. Lead hiring, reviews, and cross-functional technical alignment.

KEY RESPONSIBILITIES

1. Architecture & Platform Modernisation

• Lead the full migration of legacy monolithic systems to a scalable, cloud-native microservices architecture
• Design and own distributed, fault-tolerant backend systems with sub-millisecond SLO targets
• Architect API-first and event-driven platforms using async messaging patterns (Kafka, Pub/Sub, SQS)
• Resolve systemic performance bottlenecks, concurrency conflicts, and scalability ceilings
• Establish backend design standards, coding guidelines, and architectural review processes

2. Distributed Systems Engineering (Production-Grade)

• Design and implement Webhook reliability frameworks with intelligent retry and exponential backoff strategies
• Build idempotent, versioned APIs with enterprise-grade rate limiting and throttling controls
• Implement circuit breakers, bulkheads, and resilience patterns using Resilience4j / Hystrix or equivalents
• Engineer Dead-Letter Queue (DLQ) strategies and event reprocessing pipelines with guaranteed delivery semantics
• Apply Saga orchestration and choreography patterns for distributed transaction integrity
• Execute zero-downtime deployments and canary release strategies with rollback capability
• Design and enforce multi-region disaster recovery and business continuity protocols

3. AI-Driven Engineering Practices

• Champion LLM and GenAI adoption as first-class tooling across the software development lifecycle
• Apply prompt engineering techniques for automated code generation, review, and documentation workflows
• Utilise AI-assisted debugging, root cause analysis, and predictive performance optimisation
• Build automation-first pipelines that reduce toil and accelerate delivery velocity
• Evaluate and integrate emerging AI developer tools into the engineering ecosystem

4. Engineering Leadership & Culture

• Own backend platforms end-to-end with full accountability across development, stability, and performance
• Actively mentor, coach, and elevate engineers at all levels (L3–L6) through structured 1:1s and code reviews
• Drive and lead technical hiring — from designing assessments to final hire decisions
• Partner with Product, Data, DevOps, and Security stakeholders to align engineering with business objectives
• Represent the engineering org in cross-functional roadmap planning and architecture decision reviews
• Foster a culture of technical excellence, psychological safety, and high-velocity delivery

TECHNOLOGY STACK (HANDS-ON PROFICIENCY REQUIRED)

Languages: Java (primary) · Go · Python · Node.js · PHP · Rust

Cloud: AWS · GCP · Azure (Multi-cloud exposure preferred)

Containers: Docker · Kubernetes · Helm · Service Mesh (Istio / Linkerd)

Databases: PostgreSQL · MySQL · MongoDB · Cassandra · Redis · Elasticsearch

Messaging: Apache Kafka · RabbitMQ · AWS SQS/SNS · Google Pub/Sub

Observability: Datadog · Prometheus · Grafana · OpenTelemetry · Jaeger · ELK Stack

CI/CD & IaC: GitHub Actions · Jenkins · ArgoCD · Terraform · Ansible

AI & GenAI: OpenAI / Claude APIs · LangChain · RAG Pipelines · GitHub Copilot · Cursor

QUALIFICATIONS & CANDIDATE PROFILE

Education

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution — CS, IS, ECE, AI/ML streams strongly preferred
• Exceptional real-world engineering track record may be considered in lieu of institution pedigree

Experience

• 6 to 9 years of progressive backend engineering experience with demonstrable ownership and impact
• Proven track record of shipping and scaling production SaaS / Product systems at significant user load
• Exposure to and success within start-up, mid-size, and large-scale product organisations — the full spectrum
• Strong computer science fundamentals: algorithms, data structures, distributed systems theory, OS internals
• Demonstrated career stability — minimum 2 years average tenure per organisation
• The Ideal Candidate Exemplifies
• System-level thinking with an ability to hold context across code, architecture, product, and business
• An ownership mindset — no task is 'not my job'; outcomes and quality are personal commitments
• Strong written and verbal communication skills for asynchronous, cross-functional collaboration
• Intellectual curiosity: actively follows engineering trends, contributes to the community (OSS, blogs, talks)
• Bias for automation, observability, and engineering efficiency at every level
• A mentor's instinct — genuine desire to grow others and raise the capability of the team around them

WHY THIS ROLE STANDS APART

✅ Transformational Scope

Lead platform modernisation at scale. Your architectural choices will define systems serving millions of users for years.

✅ AI-Forward Engineering Culture

Be at the forefront of AI-augmented development. This org invests in tools and practices that make great engineers exceptional.

✅ Established, Stable Platform

Join a company with 500–1,000 employees, proven product-market fit, and the resources to execute on a serious technical vision.

✅ Career-Defining Leadership

Operate with strategic influence, direct access to senior leadership, and a clear path toward Principal / Staff / VP Engineering.

HOW TO APPLY

This search is being managed exclusively by Recruiting Bond

Submit your application with an updated resume

Only shortlisted candidates will be contacted. All applications are treated with the strictest confidentiality.

⚡ We move fast — qualified candidates can expect a response within 48–72 business hours.

Recruiting Bond | Bengaluru, Karnataka, India | 2026

About the role

We’re hiring an IT Systems Administrator for an NBFC to secure endpoints, SaaS, and networks across ~50 branches, ~250+ field staff, and ~50+ office users.

This is primarily an IT Admin + Security role, with secondary exposure to AWS cloud ops + light DevOps + basic DB access management.

If you’re an IT Admin aiming to break into AWS Cloud Ops + DevOps, this role is a strong next step — you’ll own core IT/security and get hands-on exposure to cloud operations and deployments.

Key responsibilities (Primary: IT Admin + Security)

• Manage endpoint security for laptops and mobiles (policies, patching, encryption, antivirus/EDR); drive MDM implementation now/future (e.g., Intune/Jamf).
• Administer Google Workspace (Gmail/Drive/Calendar): users, groups, permissions, SSO, MFA, sharing controls.
• Own joiner–mover–leaver lifecycle: provisioning/deprovisioning, access controls, periodic access reviews.
• Secure branch connectivity: VPN, internal Wi-Fi, internet usage controls; coordinate troubleshooting and standardization across branches.
• Manage HO security stack: firewall operations, rule changes with change control, monitoring/log review (basic but consistent).
• Secure SaaS tools (CRM/HRMS/comms like Slack/Zoom): role-based access, MFA enforcement, offboarding, integration/OAuth controls.
• Maintain IT asset inventory: procurement coordination, issuance/return, audits, warranty/AMC, license renewals; remote lock/wipe for lost devices.
• Handle security incidents: phishing, account compromise, device loss/theft — contain, investigate, recover, and prevent recurrence.
• Run backups and basic DR testing; maintain SOPs/documentation and train staff on cyber hygiene.
• Provide hands-on user support: laptop builds, software installs, Outlook/Excel issues, VPN/Wi-Fi troubleshooting, escalations and vendor coordination.

Secondary responsibilities (AWS + DevOps + DB ops support)

• Support AWS administration: IAM users/roles/policies, MFA, access key hygiene, basic log review (e.g., CloudTrail).
• Manage AWS access controls: security groups/firewall rules, IP allowlists/whitelisting (admin tools, databases, vendor access).
• Assist engineering with DevOps operations:
• CI/CD support (deployment coordination, rollbacks, environment configuration)
• Secrets/credentials management and rotation (no shared creds)
• DNS + SSL/TLS certificates, basic monitoring/alerting coordination
• Bonus: Docker/Kubernetes and Terraform exposure
• Basic database operations (admin-lite):
• DB user creation, roles/permissions, least-privilege access
• IP allowlisting/whitelisting for DB access via VPN/approved sources
• Backup/restore verification coordination and basic monitoring signals (connections/storage)

Requirements

• 3+ years in IT security / systems administration (BFSI or branch-heavy org preferred).
• Hands-on with Google Workspace administration.
• Strong endpoint/security fundamentals: encryption, patching, AV/EDR, remote support, device compliance.
• Comfortable with networks: VPN/Wi-Fi/LAN troubleshooting; firewall basics and change discipline.
• Strong operational discipline: asset tracking, vendor management, documentation, ticketing, user communication.
• Practical AWS familiarity (IAM, access controls, logging) and ability to support DevOps workflows.

Nice to have

• Experience implementing MDM at scale (Intune/Jamf/SureMDM).
• Exposure to SOC2 / ISO27001 evidence, controls, and audit workflows.
• Scripting for automation (PowerShell/Bash/Python).
• Familiarity with managed databases and secure access patterns.

Hiring: AWS DevOps Developer

📍 Location: Bangalore

🧑‍💻 Experience: 4–7 Years

📌 Job Summary

We are looking for a skilled AWS DevOps Developer with strong experience in AWS cloud infrastructure, CI/CD automation, containerization, and Infrastructure as Code. The ideal candidate should have hands-on experience building scalable and secure cloud environments.

🛠 Required Technical Skills

☁️ AWS Services

• Amazon EC2
• Amazon S3
• IAM
• VPC
• Amazon EKS
• RDS
• Route 53
• CloudWatch
• AWS Lambda

🔄 DevOps & CI/CD

• Jenkins (Pipelines, Shared Libraries)
• Git / GitHub
• Maven / Build tools
• CI/CD pipeline design & implementation

🐳 Containers & Orchestration

• Docker
• Kubernetes (EKS preferred)
• Helm

🏗 Infrastructure as Code

• Terraform
• Ansible

📊 Monitoring & Logging

• CloudWatch
• Prometheus
• Grafana

📋 Roles & Responsibilities

• Design and implement scalable AWS infrastructure
• Build and maintain CI/CD pipelines
• Deploy containerized applications using Docker & Kubernetes
• Automate infrastructure provisioning using Terraform
• Implement monitoring and alerting solutions
• Ensure security, compliance, and cost optimization
• Troubleshoot production issues and improve system reliability

➕ Good to Have

• AWS Certification (Solutions Architect / DevOps Engineer)
• Experience with Microservices architecture
• Knowledge of DevSecOps practices
• Experience in Agile methodology

Job Details

- Job Title: Lead DevOps Engineer

- Industry: Consumer Internet, Technology & Travel and Tourism Platform

- Function - IT

- Experience Required: 7-10 years

- Employment Type: Full Time

- Job Location: Bengaluru

- CTC Range: Best in Industry

Criteria:

• Strong Lead DevOps / Infrastructure Engineer Profiles.
• Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.
• Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization
• Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.
• Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.
• Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.
• Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.
• Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.
• Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.
• (Company) – Must be from B2C Product Companies only.
• (Education) – B.E/ B.Tech

Preferred

• Experience working in microservices architecture and event-driven systems.
• Exposure to cloud infrastructure, scalability, reliability, and cost optimization practices.
• (Skills) – Understanding of programming languages such as Go, Python, or Java.
• (Environment) – Experience working in high-growth startup or large-scale production environments.

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

Job 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

Role & Responsibilities

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 infrastructure
• Ensure uptime above 99.99%
• Understand the bigger picture and navigate through ambiguities
• Scale technology considering cost and observability and manage end-to-end processes
• Understand DevOps philosophy and evangelize the principles across the organization
• Demonstrate strong communication and collaboration skills to break down silos
• 
  

Ideal Candidate

Strong DevOps / Infrastructure Engineer Profiles

Mandatory Requirements:

Experience 1:

Must have 4+ years of hands-on experience working as a DevOps Engineer / Infrastructure Engineer / SRE / DevOps Consultant.

Experience 2:

Must have hands-on experience with Kubernetes and Docker, including deployment, scaling, or containerized application management.

Experience 3:

Must have experience with Infrastructure as Code (IaC) or configuration management tools such as Terraform, Ansible, Chef, or Puppet.

Experience 4:

Must have strong automation and scripting experience using Python, Go, Bash, Shell, or similar scripting languages.

Experience 5:

Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Kafka.

Experience 6:

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
• 
  

Company Background:

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.
• Understanding of programming languages such as Go, Python, or Java.
• Experience working in high-scale production or fast-growing product startups.

Perks, Benefits and Work Culture

We take our work seriously and are proud of the associations we have built along the way. But we also know how to have fun. With a seamless communication structure and a “no cubicle culture,” the people here are extremely approachable. You will have several opportunities to exercise your potential. We break the regular office monotony and believe in a free-flowing work culture. It’s a great place to be, and we are confident you will enjoy working here.

If you want, I can also convert this into a recruiter-friendly screening checklist version.

JOB DETAILS:

* Job Title: Specialist I - DevOps Engineering

* Industry: Global Digital Transformation Solutions Provider

* Salary: Best in Industry

* Experience: 7-10 years

* Location: Bengaluru (Bangalore), Chennai, Hyderabad, Kochi (Cochin), Noida, Pune, Thiruvananthapuram

Job Description

Job Summary:

As a DevOps Engineer focused on Perforce to GitHub migration, you will be responsible for executing seamless and large-scale source control migrations. You must be proficient with GitHub Enterprise and Perforce, possess strong scripting skills (Python/Shell), and have a deep understanding of version control concepts.

The ideal candidate is a self-starter, a problem-solver, and thrives on challenges while ensuring smooth transitions with minimal disruption to development workflows.

Key Responsibilities:

• Analyze and prepare Perforce repositories — clean workspaces, merge streams, and remove unnecessary files.
• Handle large files efficiently using Git Large File Storage (LFS) for files exceeding GitHub’s 100MB size limit.
• Use git-p4 fusion (Python-based tool) to clone and migrate Perforce repositories incrementally, ensuring data integrity.
• Define migration scope — determine how much history to migrate and plan the repository structure.
• Manage branch renaming and repository organization for optimized post-migration workflows.
• Collaborate with development teams to determine migration points and finalize migration strategies.
• Troubleshoot issues related to file sizes, Python compatibility, network connectivity, or permissions during migration.

Required Qualifications:

• Strong knowledge of Git/GitHub and preferably Perforce (Helix Core) — understanding of differences, workflows, and integrations.
• Hands-on experience with P4-Fusion.
• Familiarity with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
• Proficiency in migration tools such as git-p4 fusion — installation, configuration, and troubleshooting.
• Ability to identify and manage large files using Git LFS to meet GitHub repository size limits.
• Strong scripting skills in Python and Shell for automating migration and restructuring tasks.
• Experience in planning and executing source control migrations — defining scope, branch mapping, history retention, and permission translation.
• Familiarity with CI/CD pipeline integration to validate workflows post-migration.
• Understanding of source code management (SCM) best practices, including version history and repository organization in GitHub.
• Excellent communication and collaboration skills for cross-team coordination and migration planning.
• Proven practical experience in repository migration, large file management, and history preservation during Perforce to GitHub transitions.

Skills: Github, Kubernetes, Perforce, Perforce (Helix Core), Devops Tools

Must-Haves

Git/GitHub (advanced), Perforce (Helix Core) (advanced), Python/Shell scripting (strong), P4-Fusion (hands-on experience), Git LFS (proficient)

Job Details

- Job Title: SDE-3

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 5-8 years

- Employment Type: Full Time

- Job Location: Bengaluru

- CTC Range: Best in Industry

Role & Responsibilities

As a Software Development Engineer - 3, Backend Engineer at company, you will play a critical role in architecting, designing, and delivering robust backend systems that power our platform. You will lead by example, driving technical excellence and mentoring peers while solving complex engineering problems. This position offers the opportunity to work with a highly motivated team in a fast-paced and innovative environment.

Key Responsibilities:

Technical Leadership-

• Design and develop highly scalable, fault-tolerant, and maintainable backend systems using Java and related frameworks.
• Provide technical guidance and mentorship to junior developers, fostering a culture of learning and growth.
• Review code and ensure adherence to best practices, coding standards, and security guidelines.

System Architecture and Design-

• Collaborate with cross-functional teams, including product managers and frontend engineers, to translate business requirements into efficient technical solutions.
• Own the architecture of core modules and contribute to overall platform scalability and reliability.
• Advocate for and implement microservices architecture, ensuring modularity and reusability.

Problem Solving and Optimization-

• Analyze and resolve complex system issues, ensuring high availability and performance of the platform.
• Optimize database queries and design scalable data storage solutions.
• Implement robust logging, monitoring, and alerting systems to proactively identify and mitigate issues.

Innovation and Continuous Improvement-

• Stay updated on emerging backend technologies and incorporate relevant advancements into our systems.
• Identify and drive initiatives to improve codebase quality, deployment processes, and team productivity.
• Contribute to an advocate for a DevOps culture, supporting CI/CD pipelines and automated testing.

Collaboration and Communication-

• Act as a liaison between the backend team and other technical and non-technical teams, ensuring smooth communication and alignment.
• Document system designs, APIs, and workflows to maintain clarity and knowledge transfer across the team.

Ideal Candidate

• Strong Java Backend Engineer.
• Must have 5+ years of backend development with strong focus on Java (Spring / Spring Boot)
• Must have been SDE-2 for at least 2.5 years
• Hands-on experience with RESTful APIs and microservices architecture
• Strong understanding of distributed systems, multithreading, and async programming
• Experience with relational and NoSQL databases
• Exposure to Kafka/RabbitMQ and Redis/Memcached
• Experience with AWS / GCP / Azure, Docker, and Kubernetes
• Familiar with CI/CD pipelines and modern DevOps practices
• Product companies (B2B SAAS preferred)
• have stayed for at least 2 years with each of the previous companies
• (Education): B.Tech in computer science from Tier 1, Tier 2 colleges

JOB DETAILS:

* Job Title: DevOps Engineer (Azure)

* Industry: Technology

* Salary: Best in Industry

* Experience: 2-5 years

* Location: Bengaluru, Koramangala

Review Criteria

• Strong Azure DevOps Engineer Profiles.
• Must have minimum 2+ years of hands-on experience as an Azure DevOps Engineer with strong exposure to Azure DevOps Services (Repos, Pipelines, Boards, Artifacts).
• Must have strong experience in designing and maintaining YAML-based CI/CD pipelines, including end-to-end automation of build, test, and deployment workflows.
• Must have hands-on scripting and automation experience using Bash, Python, and/or PowerShell
• Must have working knowledge of databases such as Microsoft SQL Server, PostgreSQL, or Oracle Database
• Must have experience with monitoring, alerting, and incident management using tools like Grafana, Prometheus, Datadog, or CloudWatch, including troubleshooting and root cause analysis

Preferred

• Knowledge of containerisation and orchestration tools such as Docker and Kubernetes.
• Knowledge of Infrastructure as Code and configuration management tools such as Terraform and Ansible.
• Preferred (Education) – BE/BTech / ME/MTech in Computer Science or related discipline

Role & Responsibilities

• Build and maintain Azure DevOps YAML-based CI/CD pipelines for build, test, and deployments.
• Manage Azure DevOps Repos, Pipelines, Boards, and Artifacts.
• Implement Git branching strategies and automate release workflows.
• Develop scripts using Bash, Python, or PowerShell for DevOps automation.
• Monitor systems using Grafana, Prometheus, Datadog, or CloudWatch and handle incidents.
• Collaborate with dev and QA teams in an Agile/Scrum environment.
• Maintain documentation, runbooks, and participate in root cause analysis.

Ideal Candidate

• 2–5 years of experience as an Azure DevOps Engineer.
• Strong hands-on experience with Azure DevOps CI/CD (YAML) and Git.
• Experience with Microsoft Azure (OCI/AWS exposure is a plus).
• Working knowledge of SQL Server, PostgreSQL, or Oracle.
• Good scripting, troubleshooting, and communication skills.
• Bonus: Docker, Kubernetes, Terraform, Ansible experience.
• Comfortable with WFO (Koramangala, Bangalore).

Strong Azure DevOps Engineer Profiles.

Mandatory (Experience 1) – Must have minimum 2+ years of hands-on experience as an Azure DevOps Engineer with strong exposure to Azure DevOps Services (Repos, Pipelines, Boards, Artifacts).

Mandatory (Experience 2) – Must have strong experience in designing and maintaining YAML-based CI/CD pipelines, including end-to-end automation of build, test, and deployment workflows.

Mandatory (Experience 3) – Must have hands-on scripting and automation experience using Bash, Python, and/or PowerShell

Mandatory (Experience 4) – Must have working knowledge of databases such as Microsoft SQL Server, PostgreSQL, or Oracle Database

Mandatory (Experience 5) – Must have experience with monitoring, alerting, and incident management using tools like Grafana, Prometheus, Datadog, or CloudWatch, including troubleshooting and root cause analysis

Preferred

Job Description: Python Automation Engineer Location: Bangalore (Office-based) Experience: 1–2 Years Joining: Immediate to 30 Days Role Overview We are looking for a Python Automation Engineer who combines strong programming skills with hands-on automation expertise. This role involves developing automation scripts, designing automation frameworks, and contributing independently to automation solutions, with leads delegating tasks and solution directions. The ideal candidate is not a novice—they have solid real-world Python experience and are comfortable working across API automation, automation tooling, and CI/CD-driven environments. Key Responsibilities Design, develop, and maintain automation scripts and reusable automation frameworks using Python Build and enhance API automation for REST-based services and common backend frameworks Independently own automation tasks and deliver solutions with minimal supervision Collaborate with leads and engineering teams to understand automation requirements Maintain clean, modular, and scalable automation code Occasionally review automation code written by other team members Integrate automation suites with CI/CD pipelines Package and ship automation tools/frameworks using containerization Required Skills & Qualifications Python (Core Requirement) Strong, in-depth hands-on experience in Python, including: Object-Oriented Programming (OOP) and modular design Writing reusable libraries and frameworks Exception handling, logging, and debugging Asynchronous concepts, performance-aware coding Unit testing and test automation practices Code quality, readability, and maintainability API Automation Strong experience automating REST APIs Hands-on with common Python API libraries (e.g., requests, httpx, or equivalent) Understanding of API request/response handling, validations, and workflows Familiarity with different backend frameworks and fast APIs DevOps & Engineering Practices (Must-Have) Strong knowledge of Git Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab, or similar) Ability to integrate automation suites into pipelines Hands-on experience with Docker for shipping automation tools/frameworks Good-to-Have Skills UI automation using Selenium (Page Object Model, cross-browser testing, headless execution) Exposure to Playwright for UI automation Basic working knowledge of Java and/or JavaScript (reading, writing small scripts, debugging) Understanding of API authentication, retries, mocking, and related best practices Domain Exposure Experience or interest in SaaS platforms Exposure to AI / ML-based platforms is a plus What We’re Looking For A strong engineering mindset, not just tool usage Someone who can build automation systems, not only execute test cases Comfortable working independently while aligning with technical leads Passion for clean code, scalable automation, and continuous improvement SKILLA IN 1 WORKKD TO PUT IN KEYSKILL SECTION 

About the Role

We are looking for a Senior Program Manager (DevX) to lead enterprise-scale initiatives that improve developer productivity, engineering workflows, and platform efficiency. This role is central to our software transformation journey, ensuring developers have the right tools, platforms, and processes to deliver at scale.

What You’ll Do

• Lead end-to-end DevX and Developer Productivity programs
• Drive engineering efficiency across SDLC, CI/CD, and platform tooling
• Partner with Engineering, Platform, and Product teams on tooling and transformation roadmaps
• Standardize and optimize developer, database, and SDLC tools
• Reduce friction from code → build → test → deploy
• Establish program governance, metrics, and executive reporting
• Manage risks, dependencies, and large-scale change initiatives

What We’re Looking For

• 10+ years in Technical Program Management / Engineering Program Management
• Proven experience driving DevX, Platform, or Engineering Transformation programs
• Strong understanding of Agile, DevOps, and modern SDLC practices
• Experience working with large, cross-functional engineering teams
• Excellent stakeholder and executive communication skills

Tools & Platforms

• Developer Tools: GitHub, VS Code, IntelliJ, Postman
• CI/CD & SDLC: Azure DevOps, Jenkins, GitHub Actions, JIRA, Confluence, SonarQube
• Platforms: Docker, Kubernetes
• Database Tools: SSMS, DBeaver, DataGrip, Azure Data Studio, pgAdmin

Nice to Have

• Platform or Cloud Engineering background
• Experience in large-scale software or engineering transformations
• Ex-Engineer or Technical background

JOB 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

JOB DETAILS:

- Job Title: Lead DevOps Engineer

- Industry: Ride-hailing

- Experience: 6-9 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 6 yrs of experience working as a DevOps/Infrastructure Consultant

3.   Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members at least)

4.   Own end-to-end infrastructure right from non-prod to prod environment including self-managed

5.   Candidate must have Self experience in database migration from scratch 

6.   Must have a firm hold on the container orchestration tool Kubernetes

7.   Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

8.   Understanding programming languages like GO/Python, and Java

9.   Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

10.   Working experience on Cloud platform -AWS

11. 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 6 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

JOB DETAILS:

- Job Title: Senior Devops Engineer 1

- Industry: Ride-hailing

- Experience: 4-6 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 startups company with experience handling large-scale production traffic.

2. Candidate must have strong Linux expertise with hands-on production troubleshooting and working knowledge of databases and middleware (Mongo, Redis, Cassandra, Elasticsearch, Kafka).

3. Candidate must have solid experience with Kubernetes.

4. Candidate should have strong knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.

5. Candidate must be an individual contributor with strong ownership.

6. Candidate must have hands-on experience with DATABASE MIGRATIONS and observability tools such as Prometheus and Grafana.

7. Candidate must have working knowledge of Go/Python and Java.

8. Candidate should have working experience on Cloud platform - AWS

9. 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.

- Understanding the needs of stakeholders and conveying this to developers.

- Working on ways to automate and improve development and release processes.

- Identifying technical problems and developing software updates and ‘fixes’.

- Working with software developers to ensure that development follows established processes and works as intended.

- Do what it takes to keep the uptime above 99.99%.

- 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 4 yrs of experience working as a DevOps/Infrastructure Consultant.

- Strong background in operating systems like Linux.

- Understands the container orchestration tool Kubernetes.

- Proficient Knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.

- Problem-solving attitude, and ability to write scripts using any scripting language.

- Understanding programming languages like GO/Python, and Java.

- Basic understanding of databases and middlewares like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

- Should be able to take ownership of tasks, and must be responsible. - Good communication skills

Candidate must be from a product-based company with experience handling large-scale production traffic.

2. Candidate must have strong Linux expertise with hands-on production troubleshooting and working knowledge of databases and middleware (Mongo, Redis, Cassandra, Elasticsearch, Kafka).

3. Candidate must have solid experience with Kubernetes.

4. Candidate should have strong knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.

5. Candidate must be an individual contributor with strong ownership.

6. Candidate must have hands-on experience with DATABASE MIGRATIONS and observability tools such as Prometheus and Grafana.

7. Candidate must have working knowledge of Go/Python and Java.

8. Candidate should have working experience on Cloud platform - AWS

9. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation

Candidate must be from a product-based company with experience handling large-scale production traffic.

2. Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant

3. Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members atleast)

4. Own end-to-end infrastructure right from non-prod to prod environment including self-managed

5. Candidate must have Self experience in database migration from scratch

6. Must have a firm hold on the container orchestration tool Kubernetes

7. Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

8. Understanding programming languages like GO/Python, and Java

9. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

10. Working experience on Cloud platform -AWS

11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation

Job Title : Senior Software Engineer (Full Stack — AI/ML & Data Applications)

Experience : 5 to 10 Years

Location : Bengaluru, India

Employment Type : Full-Time | Onsite

Role Overview :

We are seeking a Senior Full Stack Software Engineer with strong technical leadership and hands-on expertise in AI/ML, data-centric applications, and scalable full-stack architectures.

In this role, you will design and implement complex applications integrating ML/AI models, lead full-cycle development, and mentor engineering teams.

Mandatory Skills :

Full Stack Development (React/Angular/Vue + Node.js/Python/Java), Data Engineering (Spark/Kafka/ETL), ML/AI Model Integration (TensorFlow/PyTorch/scikit-learn), Cloud & DevOps (AWS/GCP/Azure, Docker, Kubernetes, CI/CD), SQL/NoSQL Databases (PostgreSQL/MongoDB).

Key Responsibilities :

• Architect, design, and develop scalable full-stack applications for data and AI-driven products.
• Build and optimize data ingestion, processing, and pipeline frameworks for large datasets.
• Deploy, integrate, and scale ML/AI models in production environments.
• Drive system design, architecture discussions, and API/interface standards.
• Ensure engineering best practices across code quality, testing, performance, and security.
• Mentor and guide junior developers through reviews and technical decision-making.
• Collaborate cross-functionally with product, design, and data teams to align solutions with business needs.
• Monitor, diagnose, and optimize performance issues across the application stack.
• Maintain comprehensive technical documentation for scalability and knowledge-sharing.

Required Skills & Experience :

• Education : B.E./B.Tech/M.E./M.Tech in Computer Science, Data Science, or equivalent fields.
• Experience : 5+ years in software development with at least 2+ years in a senior or lead role.
• Full Stack Proficiency :
• Front-end : React / Angular / Vue.js
• Back-end : Node.js / Python / Java
• Data Engineering : Experience with data frameworks such as Apache Spark, Kafka, and ETL pipeline development.
• AI/ML Expertise : Practical exposure to TensorFlow, PyTorch, or scikit-learn and deploying ML models at scale.
• Databases : Strong knowledge of SQL & NoSQL systems (PostgreSQL, MongoDB) and warehousing tools (Snowflake, BigQuery).
• Cloud & DevOps : Working knowledge of AWS, GCP, or Azure; containerization & orchestration (Docker, Kubernetes); CI/CD; MLflow/SageMaker is a plus.
• Visualization : Familiarity with modern data visualization tools (D3.js, Tableau, Power BI).

Soft Skills :

• Excellent communication and cross-functional collaboration skills.
• Strong analytical mindset with structured problem-solving ability.
• Self-driven with ownership mentality and adaptability in fast-paced environments.

Preferred Qualifications (Bonus) :

• Experience deploying distributed, large-scale ML or data-driven platforms.
• Understanding of data governance, privacy, and security compliance.
• Exposure to domain-driven data/AI use cases in fintech, healthcare, retail, or e-commerce.
• Experience working in Agile environments (Scrum/Kanban).
• Active open-source contributions or a strong GitHub technical portfolio.

Job Title: Senior DevOps Engineer

Experience: 8+ Years

Joining: Immediate Joiner

Location: Bangalore (Onsite/Hybrid – as applicable)

Job Description:

We are looking for a highly experienced Senior DevOps Engineer with 8+ years of hands-on experience to join our team immediately. The ideal candidate will be responsible for designing, implementing, and managing scalable, secure, and highly available infrastructure.

Key Responsibilities:

• Design, build, and maintain CI/CD pipelines for application deployment
• Manage cloud infrastructure (AWS/Azure/GCP) and optimize cost and performance
• Automate infrastructure using Infrastructure as Code (Terraform/CloudFormation)
• Manage containerized applications using Docker and Kubernetes
• Monitor system performance, availability, and security
• Collaborate closely with development, QA, and security teams
• Troubleshoot production issues and perform root cause analysis
• Ensure high availability, disaster recovery, and backup strategies

Required Skills:

• 8+ years of experience in DevOps / Site Reliability Engineering
• Strong expertise in Linux/Unix administration
• Hands-on experience with AWS / Azure / GCP
• CI/CD tools: Jenkins, GitLab CI, GitHub Actions, Azure DevOps
• Containers & orchestration: Docker, Kubernetes
• Infrastructure as Code: Terraform, CloudFormation, Ansible
• Monitoring tools: Prometheus, Grafana, ELK, CloudWatch
• Strong scripting skills (Bash, Python)
• Experience with security best practices and compliance

Good to Have:

• Experience with microservices architecture
• Knowledge of DevSecOps practices
• Cloud certifications (AWS/Azure/GCP)
• Experience in high-traffic production environments

Why Join Us:

• Opportunity to work on scalable, enterprise-grade systems
• Collaborative and growth-oriented work environment
• Competitive compensation and benefits
• Immediate joiners preferred.

Role: Senior Security Engineer

Salary: INR 20-35L per annum

Performance Bonus: Up to 10% of the base salary

Location: Hulimavu, Bangalore, India

Experience: 5-8 years

About AbleCredit:

AbleCredit has built a foundational AI platform to help BFSI enterprises reduce OPEX by up to 70% by powering workflows for onboarding, claims, credit, and collections. Our GenAI model achieves over 95% accuracy in understanding Indian dialects and excels in financial analysis.

The company was founded in June 2023 by Utkarsh Apoorva (IIT Delhi, built Reshamandi, Guitarstreet, Edulabs); Harshad Saykhedkar (IITB, ex-AI Lead at Slack); and Ashwini Prabhu (IIML, co-founder of Mythiksha, ex-Product Head at Reshamandi, HandyTrain).

What Work You’ll Do

• Be the guardian of trust — every system you secure will protect millions of data interactions.
• Operate like a builder, not a gatekeeper — automate guardrails that make security invisible but ever-present.
• You’ll define what ‘secure by default’ means for a next-generation AI SaaS platform.
• Own the security posture of our cloud-native SaaS platform — design, implement, and enforce security controls across AWS, Linux, and Kubernetes (EKS) environments.
• Drive security compliance initiatives such as SOC 2 Type II, ISO 27001, and RBI-aligned frameworks — build systems that enforce, not just document, compliance.
• Architect defense-in-depth systems across EC2, S3, IAM, and VPC layers, ensuring secure configuration, least-privilege access, and continuous compliance.
• Build and automate security pipelines — integrate AWS Security Hub, GuardDuty, Inspector, WAF, and CloudTrail into continuous detection and response systems.
• Lead vulnerability management and incident readiness — identify, prioritize, and remediate vulnerabilities across the stack while ensuring traceable audit logs.
• Implement and maintain zero-trust and least-privilege access controls using AWS IAM, SSO, and modern secrets management tools like AWS SSM or Vault.
• Serve as a trusted advisor — train developers, review architecture, and proactively identify risks before they surface.

The Skills You Have..

• Deep hands-on experience with AWS security architecture — IAM, VPCs, EKS, EC2, S3, CloudTrail, Security Hub, WAF, GuardDuty, and Inspector.
• Strong background in Linux hardening, container security, and DevSecOps automation.
• Proficiency with infrastructure-as-code (Terraform, CloudFormation) and integrating security controls into provisioning.
• Knowledge of zero-trust frameworks, least-privilege IAM, and secrets management (Vault, SSM, KMS).
• Experience with SIEM and monitoring tools — configuring alerts, analyzing logs, and responding to incidents.
• Familiarity with compliance automation and continuous assurance — especially SOC 2, ISO 27001, or RBI frameworks.
• Understanding of secure software supply chains — dependency scanning, artifact signing, and policy enforcement in CI/CD.
• Ability to perform risk assessment, threat modeling, and architecture review collaboratively with engineering teams.

What You Should Have Done in the Past

• Secured cloud-native SaaS systems built entirely on AWS (EC2, EKS, S3, IAM, VPC).
• Led or contributed to SOC 2 Type II or ISO 27001 certification initiatives, ideally in a regulated industry such as FinTech.
• Designed secure CI/CD pipelines with integrated code scanning, image validation, and secrets rotation.
• (Bonus) Built internal security automation frameworks or tooling for continuous monitoring and compliance checks.

Job 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 

ROLES AND RESPONSIBILITIES:

You will be responsible for architecting, implementing, and optimizing Dremio-based data Lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

IDEAL CANDIDATE:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

PREFERRED:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Exp: 7- 10 Years

CTC: up to 35 LPA

Skills:

• 6–10 years DevOps / SRE / Cloud Infrastructure experience
• Expert-level Kubernetes (networking, security, scaling, controllers)
• Terraform Infrastructure-as-Code mastery
• Hands-on Kafka production experience
• AWS cloud architecture and networking expertise
• Strong scripting in Python, Go, or Bash
• GitOps and CI/CD tooling experience

Key Responsibilities:

• Design highly available, secure cloud infrastructure supporting distributed microservices at scale
• Lead multi-cluster Kubernetes strategy optimized for GPU and multi-tenant workloads
• Implement Infrastructure-as-Code using Terraform across full infrastructure lifecycle
• Optimize Kafka-based data pipelines for throughput, fault tolerance, and low latency
• Deliver zero-downtime CI/CD pipelines using GitOps-driven deployment models
• Establish SRE practices with SLOs, p95 and p99 monitoring, and FinOps discipline
• Ensure production-ready disaster recovery and business continuity testing

If interested Kindly share your updated resume at 82008 31681

Job Description :

We are looking for an experienced DevOps Engineer with strong expertise in Azure DevOps, CI/CD pipelines, and PowerShell scripting, who has worked extensively with .NET-based applications in a Windows environment.

Mandatory Skills

• Strong hands-on experience with Azure DevOps
• GIT version control
• CI/CD pipelines (Classic & YAML)
• Excellent experience in PowerShell scripting
• Experience working with .NET-based applications
• Understanding of Solutions, Project files, MSBuild
• Experience using Visual Studio / MSBuild tools
• Strong experience in Windows environment
• End-to-end experience in build, release, and deployment pipelines

Good to Have Skills

• Terraform (optional / good to have)
• Experience with JFrog Artifactory
• SonarQube integration knowledge

JD :

• Master’s degree in Computer Science, Computational Sciences, Data Science, Machine Learning, Statistics , Mathematics any quantitative field

• Expertise with object-oriented programming (Python, C++)

• Strong expertise in Python libraries like NumPy, Pandas, PyTorch, TensorFlow, and Scikit-learn

• Proven experience in designing and deploying ML systems on cloud platforms (AWS, GCP, or Azure).

• Hands-on experience with MLOps frameworks, model deployment pipelines, and model monitoring tools.

• Track record of scaling machine learning solutions from prototype to production. 

• Experience building scalable ML systems in fast-paced, collaborative environments.

• Working knowledge of adversarial machine learning techniques and their mitigation

• Agile and Waterfall methodologies.

• Personally invested in continuous improvement and innovation.

• Motivated, self-directed individual that works well with minimal supervision.

Role Proficiency:

Leverage expertise in a technology area (e.g. Java Microsoft technologies or Mainframe/legacy) to design system architecture.

Knowledge Examples:

• Domain/ Industry Knowledge: Basic knowledge of standard business processes within the relevant industry vertical and customer business domain

1. Technology Knowledge: Demonstrates working knowledge of more than one technology area related to own area of work (e.g. Java/JEE 5+ Microsoft technologies or Mainframe/legacy) customer technology landscape multiple frameworks (Struts JSF Hibernate etc.) within one technology area and their applicability. Consider low level details such as data structures algorithms APIs and libraries and best practices for one technology stack configuration parameters for successful deployment and configuration parameters for high performance within one technology stack
2. Technology Trends: Demonstrates working knowledge of technology trends related to one technology stack and awareness of technology trends related to least two technologies
3. Architecture Concepts and Principles: Demonstrates working knowledge of standard architectural principles models patterns (e.g. SOA N-Tier EDA etc.) and perspective (e.g. TOGAF Zachman etc.) integration architecture including input and output components existing integration methodologies and topologies source and external system non functional requirements data architecture deployment architecture architecture governance
4. Design Patterns Tools and Principles: Applies specialized knowledge of design patterns design principles practices and design tools. Knowledge of documentation of design using tolls like EA
5. Software Development Process Tools & Techniques: Demonstrates thorough knowledge of end-to-end SDLC process (Agile and Traditional) SDLC methodology programming principles tools best practices (refactoring code code package etc.)
6. Project Management Tools and Techniques: Demonstrates working knowledge of project management process (such as project scoping requirements management change management risk management quality assurance disaster management etc.) tools (MS Excel MPP client specific time sheets capacity planning tools etc.)
7. Project Management: Demonstrates working knowledge of project governance framework RACI matrix and basic knowledge of project metrics like utilization onsite to offshore ratio span of control fresher ratio SLAs and quality metrics
8. Estimation and Resource Planning: Working knowledge of estimation and resource planning techniques (e.g. TCP estimation model) company specific estimation templates
9. Working knowledge of industry knowledge management tools (such as portals wiki) company and customer knowledge management tools techniques (such as workshops classroom training self-study application walkthrough and reverse KT)
10. Technical Standards Documentation & Templates: Demonstrates working knowledge of various document templates and standards (such as business blueprint design documents and test specifications)
11. Requirement Gathering and Analysis: Demonstrates working knowledge of requirements gathering for ( non functional) requirements analysis for functional and non functional requirement analysis tools (such as functional flow diagrams activity diagrams blueprint storyboard) techniques (business analysis process mapping etc.) and requirements management tools (e.g.MS Excel) and basic knowledge of functional requirements gathering. Specifically identify Architectural concerns and to document them as part of IT requirements including NFRs
12. Solution Structuring: Demonstrates working knowledge of service offering and products

Additional Comments:

Looking for a Senior Java Architect with 12+ years of experience. Key responsibilities include:

• Excellent technical background and end to end architecture to design and implement scalable maintainable and high performing systems integrating front end technologies with back-end services.

• Collaborate with front-end teams to architect React -based user interfaces that are robust, responsive and aligned with overall technical architecture.

• Expertise in cloud-based applications on Azure, leveraging key Azure services.

• Lead the adoption of DevOps practices, including CI/CD pipelines, automation, monitoring and logging to ensure reliable and efficient deployment cycles.

• Provide technical leadership to development teams, guiding them in building solutions that adhere to best practices, industry standards and customer requirements.

• Conduct code reviews to maintain high quality code and collaborate with team to ensure code is optimized for performance, scalability and security.

• Collaborate with stakeholders to defined requirements and deliver technical solutions aligned with business goals.

• Excellent communication skills

• Mentor team members providing guidance on technical challenges and helping them grow their skill set.

• Good to have experience in GCP and retail domain.

Skills: Devops, Azure, Java

Must-Haves

Java (12+ years), React, Azure, DevOps, Cloud Architecture

Strong Java architecture and design experience.

Expertise in Azure cloud services.

Hands-on experience with React and front-end integration.

Proven track record in DevOps practices (CI/CD, automation).

Notice period - 0 to 15days only

Location: Hyderabad, Chennai, Kochi, Bangalore, Trivandrum

Excellent communication and leadership skills.

ROLES AND RESPONSIBILITIES:

Standardization and Governance:

• Establishing and maintaining project management standards, processes, and methodologies.
• Ensuring consistent application of project management policies and procedures.
• Implementing and managing project governance processes.

Resource Management:

• Facilitating the sharing of resources, tools, and methodologies across projects.
• Planning and allocating resources effectively.
• Managing resource capacity and forecasting future needs.

Communication and Reporting:

• Ensuring effective communication and information flow among project teams and stakeholders.
• Monitoring project progress and reporting on performance.
• Communicating strategic work progress, including risks and benefits.

Project Portfolio Management:

• Supporting strategic decision-making by aligning projects with organizational goals.
• Selecting and prioritizing projects based on business objectives.
• Managing project portfolios and ensuring efficient resource allocation across projects.

Process Improvement:

• Identifying and implementing industry best practices into workflows.
• Improving project management processes and methodologies.
• Optimizing project delivery and resource utilization.

Training and Support:

• Providing training and support to project managers and team members.
• Offering project management tools, best practices, and reporting templates.

Other Responsibilities:

• Managing documentation of project history for future reference.
• Coaching project teams on implementing project management steps.
• Analysing financial data and managing project costs.
• Interfacing with functional units (Domain, Delivery, Support, Devops, HR etc).
• Advising and supporting senior management.

IDEAL CANDIDATE:

• 3+ years of proven experience in Project Management roles with strong exposure to PMO processes, standards, and governance frameworks.
• Demonstrated ability to manage project status tracking, risk assessments, budgeting, variance analysis, and defect tracking across multiple projects.
• Proficient in Project Planning and Scheduling using tools like MS Project and Advanced Excel (e.g., Gantt charts, pivot tables, macros).
• Experienced in developing project dashboards, reports, and executive summaries for senior management and stakeholders.
• Active participant in Agile environments, attending and contributing to Scrum calls, sprint planning, and retrospectives.
• Holds a Bachelor’s degree in a relevant field (e.g., Engineering, Business, IT, etc.).
• Preferably familiar with Jira, Azure DevOps, and Power BI for tracking and visualization of project data.
• Exposure to working in product-based companies or fast-paced, innovation-driven environments is a strong advantage.

Job Description: Python Engineer

Role Summary

We are looking for a talented Python Engineer to design, develop, and maintain high-quality backend applications and automation solutions. The ideal candidate should have strong programming skills, familiarity with modern development practices, and the ability to work in a fast-paced, collaborative environment.

Key Responsibilities:

Python Development & Automation

• Design, develop, and maintain Python scripts, tools, and automation frameworks.
• Build automation for operational tasks such as deployment, monitoring, system checks, and maintenance.
• Write clean, modular, and well-documented Python code following best practices.
• Develop APIs, CLI tools, or microservices when required.

Linux Systems Engineering

• Manage, configure, and troubleshoot Linux environments (RHEL, CentOS, Ubuntu).
• Perform system performance tuning, log analysis, and root-cause diagnostics.
• Work with system services, processes, networking, file systems, and security controls.
• Implement shell scripting (bash) alongside Python for system-level automation.

CI/CD & Infrastructure Support

• Support integration of Python automation into CI/CD pipelines (Jenkins).
• Participate in build and release processes for infrastructure components.
• Ensure automation aligns with established infrastructure standards and governance.
• Use Bash scripting together with Python to improve automation efficiency.

Cloud & DevOps Collaboration (if applicable)

• Collaborate with Cloud/DevOps engineers on automation for AWS or other cloud platforms.
• Integrate Python tools with configuration management tools such as Chef or Ansible, or with Terraform modules.
• Contribute to containerization efforts (Docker, Kubernetes) leveraging Python automation.

Job Title: Sr. DevOps Engineer

Experience Required: 2 to 4 years in DevOps or related fields

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.

Key Responsibilities:

Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).

CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.

Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.

Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.

Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.

Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.

Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.

Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.

Required Skills & Qualifications:

Technical Expertise:

Strong proficiency in cloud platforms like AWS, Azure, or GCP.

Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).

Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.

Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.

Proficiency in scripting languages (e.g., Python, Bash, PowerShell).

Soft Skills:

Excellent communication and leadership skills.

Strong analytical and problem-solving abilities.

Proven ability to manage and lead a team effectively.

Experience:

4 years + of experience in DevOps or Site Reliability Engineering (SRE).

4+ years + in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.

Strong understanding of microservices, APIs, and serverless architectures.

Nice to Have:

Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.

Experience with GitOps tools such as ArgoCD or Flux.

Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).

Perks & Benefits:

Competitive salary and performance bonuses.

Comprehensive health insurance for you and your family.

Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.

Flexible working hours and remote work options.

Collaborative and inclusive work culture.

Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.

You can directly contact us: Nine three one six one two zero one three two

Job Description.

1.      Cloud experience (Any cloud is fine although AWS is preferred. If non-AWS cloud, then the experience should reflect familiarity with the cloud's common services)

2.      Good grasp of Scripting (in Linux for sure ie bash/sh/zsh etc, Windows : nice to have)

3.      Python or Java or JS basic knowledge (Python Preferred)

4.      Monitoring tools

5.      Alerting tools

6.      Logging tools

7.      CICD

8.      Docker/containers/(k8s/terraform nice to have)

9.      Experience working on distributed applications with multiple services

10.  Incident management

11.  DB experience in terms of basic queries

12.  Understanding of performance analysis of applications

13.  Idea about data pipelines would be nice to have

14.  Snowflake querying knowledge: nice to have

The person should be able to :

Monitor system issues

Create strategies to detect and address issues

Implement automated systems to troubleshoot and resolve issues.

Write and review post-mortems

Manage infrastructure for multiple product teams

Collaborate with product engineering teams to ensure best practices are being followed

Job Description.

1.      Cloud experience (Any cloud is fine although AWS is preferred. If non-AWS cloud, then the experience should reflect familiarity with the cloud's common services)

2.      Good grasp of Scripting (in Linux for sure ie bash/sh/zsh etc, Windows : nice to have)

3.      Python or Java or JS basic knowledge (Python Preferred)

4.      Monitoring tools

5.      Alerting tools

6.      Logging tools

7.      CICD

8.      Docker/containers/(k8s/terraform nice to have)

9.      Experience working on distributed applications with multiple services

10.  Incident management

11.  DB experience in terms of basic queries

12.  Understanding of performance analysis of applications

13.  Idea about data pipelines would be nice to have

14.  Snowflake querying knowledge: nice to have

The person should be able to :

Monitor system issues

Create strategies to detect and address issues

Implement automated systems to troubleshoot and resolve issues.

Write and review post-mortems

Manage infrastructure for multiple product teams

Collaborate with product engineering teams to ensure best practices are being followed.

JD for Cloud engineer

Job Summary:

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

• Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
• Implement Google Cloud Storage, Cloud SQL, filestore,  for data storage and processing needs.
• Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
• Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

2. Kubernetes & Container Orchestration

• Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
• Work with Helm charts for microservices deployments.
• Automate scaling, rolling updates, and zero-downtime deployments.

3. Serverless & Compute Services

• Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
• Optimize containerized applications running on Cloud Run for cost efficiency and performance.

4. CI/CD & DevOps Automation

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure deployment using Terraform, Bash and Powershell scripting
• Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Required Skills & Qualifications:

✔ Experience: 8+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.

Mandatory Criteria

• Looking for candidates from Bangalore and NP less than or equal to 20 days
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 6+ years of experience in quality assurance or software testing, with at least 3 years focused on test automation and 2+ years in a leadership or senior role.
• Solid knowledge of SQL Experience in architecting and implementing automated testing frameworks . Strong in programming/scripting languages such as Python, Java, or JavaScript for automation development.
• Expertise with automation tools like Selenium, Playwright, Appium, or RestAssured, and integrating them into CI/CD workflows.
• Proven leadership skills, including mentoring junior engineers and managing team deliverables in an agile environment.
• Experience with test management tools (e.g., TestRail, qTest) and defect tracking systems (e.g., Jira).
• Deep understanding of testing best practices, including functional, regression, performance, and security testing.
• Ability to analyze system architecture and identify key areas for test coverage and risk mitigation.
• Experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS preferred). Understanding of performance, security, and load testing tools (e.g., JMeter, OWASP ZAP).
• Familiarity with observability and monitoring tools (e.g., ELK Stack, Datadog, Prometheus, Grafana) for test environment analysis.

If interested kindly share your updated resume on 82008 31681

CTC: up to 20 LPA

Required Skills:

• Strong experience in SAP EWM Technical Development.
• Proficiency in ABAP (Reports, Interfaces, Enhancements, Forms, BAPIs, BADIs).
• Hands-on experience with RF developments, PPF framework, and queue monitoring.
• Understanding of EWM master data, inbound/outbound processes, and warehouse tasks.
• Experience with SAP integration technologies (IDoc, ALE, Web Services).
• Good analytical, problem-solving, and communication skills.

Nice to Have:

• Exposure to S/4HANA EWM.
• Knowledge of Functional EWM processes.
• Experience in Agile / DevOps environments.

If interested kindly share your updated resume on 82008 31681

Core Focus:

• Operate with a full DevOps mindset, owning the software lifecycle from development through production support.
• Participate in Agile ceremonies and global team collaboration, including on-call support.

Mandatory/Strong Technical Skills (6–8+ years of relevant experience required):

• Java: 4.5 to 6.5 years experience
• AWS: Strong knowledge and working experience with Cloud technologies minimum 2 years.
• Kafka: 2 years of Strong knowledge and working experience with data integration technologies
• Databases: Experience with SQL/NoSQL databases (e.g., Postgres, MongoDB).

Other Key Technologies & Practices:

• Python, Spring Boot, and API-based system design.
• Containers/Orchestration (Kubernetes).
• CI/CD tools (Gitlab, Splunk, Datadog).
• Familiarity with Terraform and Airflow.
• Experience in Agile methodology (Jira, Confluence).

Exp: 10 to 15 Years

CTC: up to 25 LPA

Core skill required:

• In-depth knowledge of Angular 8 or above , Typescript, JavaScript , HTML, and CSS
• Should have adequate knowledge of API Development Technologies to guide the Team to develop the API code and get it tested
• Excellent communication and interpersonal skills, with the ability to lead and mentor technical teams
• Should have good knowledge of the current Technology trends to implement techniques which can enhance the security, performance and stability of the product
• Should have good knowledge in preparing the Low Level Design and ensure the developers are having full understanding before commencement of work
• Good Knowledge of the DevOps process for CI/CD will be an added advantage
• Should have a solid understand of SDLC process using Waterfall, Iterative or Agile Methodology
• Good Knowledge of Quality Processes and Quality Standards
• Have experience in handling risk and providing mitigation strategies to the Product Manager

Primary skills:

• 8+ years of experience Angular 8+ version, Type Script
• Minimum 5 years of experience on Web Application development HTML, CSS, JavaScript/JQuery, Entity framework and Linq Queries
• Been on a Lead role and led a team of 3-5 people for a period of 1 - 2 years
• Must have a good exposure on query writing and DB management for writing stored procedures/ user-defined functions
• Should have a very good understanding of the project architecture
• Should provide Technical guidance to the team to get the task completed on time.
• Assist project manager in the project coordination/management

Kindly share your resume on 82008 31681

Data Engineer

Experience: 4–6 years

Key Responsibilities

• Design, build, and maintain scalable data pipelines and workflows.
• Manage and optimize cloud-native data platforms on Azure with Databricks and Apache Spark (1–2 years).
• Implement CI/CD workflows and monitor data pipelines for performance, reliability, and accuracy.
• Work with relational databases (Sybase, DB2, Snowflake, PostgreSQL, SQL Server) and ensure efficient SQL query performance.
• Apply data warehousing concepts including dimensional modelling, star schema, data vault modelling, Kimball and Inmon methodologies, and data lake design.
• Develop and maintain ETL/ELT pipelines using open-source frameworks such as Apache Spark and Apache Airflow.
• Integrate and process data streams from message queues and streaming platforms (Kafka, RabbitMQ).
• Collaborate with cross-functional teams in a geographically distributed setup.
• Leverage Jupyter notebooks for data exploration, analysis, and visualization.

Required Skills

• 4+ years of experience in data engineering or a related field.
• Strong programming skills in Python with experience in Pandas, NumPy, Flask.
• Hands-on experience with pipeline monitoring and CI/CD workflows.
• Proficiency in SQL and relational databases.
• Familiarity with Git for version control.
• Strong communication and collaboration skills with ability to work independently.

Job Description:

We are looking for a Lead Java Developer – Backend with a strong foundation in software engineering and hands-on experience in designing and building scalable, high-performance backend systems. You’ll be working within our Digital Engineering Studios on impactful and transformative projects in a fast-paced environment.

Key Responsibilities:

• Lead and mentor backend development teams.
• Design and develop scalable backend applications using Java and Spring Boot.
• Ensure high standards of code quality through best practices such as SOLID principles and clean code.
• Participate in pair programming, code reviews, and continuous integration processes.
• Drive Agile, Lean, and Continuous Delivery practices like TDD, BDD, and CI/CD.
• Collaborate with cross-functional teams and clients for successful delivery.

Required Skills & Experience:

• 9–12+ years of experience in backend development (Up to 17 years may be considered).
• Strong programming skills in Java and backend frameworks such as Spring Boot.
• Experience in designing and building large-scale, custom-built, scalable applications.
• Sound understanding of Object-Oriented Design (OOD) and SOLID principles.
• Hands-on experience with Agile methodologies, TDD/BDD, CI/CD pipelines.
• Familiarity with DevOps practices, Docker, Kubernetes, and Infrastructure as Code.
• Good understanding of cloud technologies – especially AWS, and exposure to GCP or Azure.
• Experience working in a product engineering environment is a plus.
• Startup experience or working in fast-paced, high-impact teams is highly desirable.

- Experience comparable to DevOps SIRE providing SME-tevel application or platform support with responsibility for designing and automating operational procedures and best practices 

-Experience writing python and shell scripts to perform health checks and automations 

- Experience with Linux System Administration (preferably Red Hat)

- Hands-on experience with multi-tenant hosting environments for middleware applications (for example: centrally managed platform or infrastructure as a service) 

- Experience with implementing observabitity, monitoring and alerting tools 

- Excellent written and oral English communication skills. The candidate must write user-facing documentation, prepare and deliver presentations to an internal audience and effectively interact with upper management, colleagues, and customers 

- Independent problem-solving skills, self-motivated, and a mindset for taking ownership

- A minimum of 5 years of infrastructure production support or DevOps experience 

Additional Technical Skills 

Experience with broker-based messaging infrastructure such as Apache Kafka, IBM MQ (or similar technology like ActiveMQ, Azure Service Bus) including configuration and performance tuning 

Experience with public/private cloud and containerization technologies (e.g. Kubernetes) 

Experience with Agile development methodology, Cl/CD and automated build pipelines 

Experience with DevOps methodology (e.g. Phoenix Project) 

Experience with tools such as Jira, Confluence and ServiceNow 

Experience working with JSON, XML, Google Protocol Buffers, Avro, FIX 

Experience with troubleshooting tools such as TCPdump and Wireshark

Experience with NoSQL databases such as MongoDB and Redis interest and understanding of emerging IT trends 

Experience with system architecture design

Senior Cloud & ML Infrastructure Engineer

Location: Bangalore / Bengaluru, Hyderabad, Pune, Mumbai, Mohali, Panchkula, Delhi

Experience: 6–10+ Years

Night Shift - 9 pm to 6 am

About the Role:

We’re looking for a Senior Cloud & ML Infrastructure Engineer to lead the design,scaling, and optimization of cloud-native machine learning infrastructure. This role is ideal forsomeone passionate about solving complex platform engineering challenges across AWS, witha focus on model orchestration, deployment automation, and production-grade reliability. You’llarchitect ML systems at scale, provide guidance on infrastructure best practices, and work cross-functionally to bridge DevOps, ML, and backend teams.

Key Responsibilities:

● Architect and manage end-to-end ML infrastructure using SageMaker, AWS StepFunctions, Lambda, and ECR

● Design and implement multi-region, highly-available AWS solutions for real-timeinference and batch processing

● Create and manage IaC blueprints for reproducible infrastructure using AWS CDK

● Establish CI/CD practices for ML model packaging, validation, and drift monitoring

● Oversee infrastructure security, including IAM policies, encryption at rest/in-transit, andcompliance standards

● Monitor and optimize compute/storage cost, ensuring efficient resource usage at scale

● Collaborate on data lake and analytics integration

● Serve as a technical mentor and guide AWS adoption patterns across engineeringteams

Required Skills:

● 6+ years designing and deploying cloud infrastructure on AWS at scale

● Proven experience building and maintaining ML pipelines with services like SageMaker,ECS/EKS, or custom Docker pipelines

● Strong knowledge of networking, IAM, VPCs, and security best practices in AWS

● Deep experience with automation frameworks, IaC tools, and CI/CD strategies

● Advanced scripting proficiency in Python, Go, or Bash

● Familiarity with observability stacks (CloudWatch, Prometheus, Grafana)

Nice to Have:

● Background in robotics infrastructure, including AWS IoT Core, Greengrass, or OTA deployments

● Experience designing systems for physical robot fleet telemetry, diagnostics, and control

● Familiarity with multi-stage production environments and robotic software rollout processes

● Competence in frontend hosting for dashboard or API visualization

● Involvement with real-time streaming, MQTT, or edge inference workflows

● Hands-on experience with ROS 2 (Robot Operating System) or similar robotics frameworks, including launch file management, sensor data pipelines, and deployment to embedded Linux devices

🚀 We’re Hiring: Senior Cloud & ML Infrastructure Engineer 🚀

We’re looking for an experienced engineer to lead the design, scaling, and optimization of cloud-native ML infrastructure on AWS.

If you’re passionate about platform engineering, automation, and running ML systems at scale, this role is for you.

What you’ll do:

🔹 Architect and manage ML infrastructure with AWS (SageMaker, Step Functions, Lambda, ECR)

🔹 Build highly available, multi-region solutions for real-time & batch inference

🔹 Automate with IaC (AWS CDK, Terraform) and CI/CD pipelines

🔹 Ensure security, compliance, and cost efficiency

🔹 Collaborate across DevOps, ML, and backend teams

What we’re looking for:

✔️ 6+ years AWS cloud infrastructure experience

✔️ Strong ML pipeline experience (SageMaker, ECS/EKS, Docker)

✔️ Proficiency in Python/Go/Bash scripting

✔️ Knowledge of networking, IAM, and security best practices

✔️ Experience with observability tools (CloudWatch, Prometheus, Grafana)

✨ Nice to have: Robotics/IoT background (ROS2, Greengrass, Edge Inference)

📍 Location: Bengaluru, Hyderabad, Mumbai, Pune, Mohali, Delhi

5 days working, Work from Office

Night shifts: 9pm to 6am IST

👉 If this sounds like you (or someone you know), let’s connect!

Apply here:

Job Title: AWS DevOps Engineer

Experience Level: 5+ Years

Location: Bangalore, Pune, Hyderabad, Chennai and Gurgaon

Summary:

We are looking for a hands-on Platform Engineer with strong execution skills to provision and manage cloud infrastructure. The ideal candidate will have experience with Linux, AWS services, Kubernetes, and Terraform, and should be capable of troubleshooting complex issues in cloud and container environments.

Key Responsibilities:

• Provision AWS infrastructure using Terraform (IaC).
• Manage and troubleshoot Kubernetes clusters (EKS/ECS).
• Work with core AWS services: VPC, EC2, S3, RDS, Lambda, ALB, WAF, and CloudFront.
• Support CI/CD pipelines using Jenkins and GitHub.
• Collaborate with teams to resolve infrastructure and deployment issues.
• Maintain documentation of infrastructure and operational procedures.

Required Skills:

• 3+ years of hands-on experience in AWS infrastructure provisioning using Terraform.
• Strong Linux administration and troubleshooting skills.
• Experience managing Kubernetes clusters.
• Basic experience with CI/CD tools like Jenkins and GitHub.
• Good communication skills and a positive, team-oriented attitude.

Preferred:

• AWS Certification (e.g., Solutions Architect, DevOps Engineer).
• Exposure to Agile and DevOps practices.
• Experience with monitoring and logging tools.

Job Responsibilities:

 Identify and develop new business opportunities in the defined territory.

 Drive end-to-end sales cycle: lead generation, proposal preparation, negotiation, and closure.

 Achieve and exceed assigned revenue targets and other key performance matrices.

 Build and maintain strong client relationships with multi-level decision-makers.

 Understand client requirements and propose suitable solutions & services.

 Collaborate with technical and delivery teams to ensure successful customer onboarding.

 Develop and maintain knowledge of our solutions, industry trends, target markets etc.

 Maintain accurate sales pipeline and reporting in CRM system.

Required Qualifications and Experience:

 5-8 years of experience selling Software Solution and Services to enterprise customers.

 Bachelor’s or Master’s degree in Engineering, Business, Marketing or appropriate field.

 Familiar with solution selling techniques and strong account management skills.

 Must have passion for selling and constant desire to learn new technologies.

 Proven track record of consistently and successfully achieving assigned targets.

 Ability to communicate and influence people at all levels in an organization.

 Must have good industry network and existing relationship with C -level contacts.

 Must be able to work in a fast -paced, goal oriented and collaborative work environment.

 Ability to organize and prioritize work independently with minimal supervision.

 Must have excellent communication, organizational and relationship building skills.

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 Possess high degree of self-motivation, initiative, integrity, discipline and commitment.

 Must be highly adaptable, process oriented, result driven, quick learner and team player.