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

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.

Job Description

We are seeking a DevOps Engineer with 3+ years of experience and strong expertise in Google Cloud Platform (GCP) to design, automate, and manage scalable cloud infrastructure. The role involves building CI/CD pipelines, implementing Infrastructure as Code, and ensuring high availability, security, and performance of cloud-native applications.

Key Responsibilities

• Design, deploy, and manage GCP infrastructure using best practices
• Implement Infrastructure as Code (IaC) using Terraform
• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI
• Manage containerized workloads using Docker and Kubernetes (GKE)
• Configure and manage GCP networking (VPCs, Subnets, VPN, Cloud Interconnect, Load Balancers, Firewall rules)
• Implement monitoring and logging using Cloud Monitoring and Cloud Logging
• Ensure high availability, scalability, and security of applications
• Troubleshoot production issues and perform root cause analysis
• Collaborate with development and product teams to improve deployment and reliability
• Optimize cloud cost, performance, and security

Required Skills & Qualifications

• 3+ years of experience as a DevOps / Cloud Engineer
• Strong hands-on experience with Google Cloud Platform (GCP)
• Experience with Terraform for GCP resource provisioning
• CI/CD experience with Jenkins / GitHub Actions
• Hands-on experience with Docker and Kubernetes (GKE)
• Good understanding of Linux and shell scripting
• Knowledge of cloud networking concepts (TCP/IP, DNS, Load Balancers)
• Experience with monitoring, logging, and alerting

Good to Have

• Experience with Hybrid or Multi-cloud architectures
• Knowledge of DevSecOps practices
• Experience with SRE concepts
• GCP certifications (Associate Cloud Engineer / Professional DevOps Engineer)

Why Join Us

• Work on modern GCP-based cloud infrastructure
• Opportunity to design and own end-to-end DevOps pipelines
• Learning and growth opportunities in cloud and automation

🚀 RECRUITING BOND HIRING

Role: CLOUD OPERATIONS & MONITORING ENGINEER - (THE GUARDIAN OF UPTIME)

⚡ THIS IS NOT A MONITORING ROLE

THIS IS A COMMAND ROLE

You don’t watch dashboards.

You control outcomes.

You don’t react to incidents.

You eliminate them before they escalate.

This role powers an AI-driven SaaS + IoT platform where:

---> Uptime is non-negotiable

---> Latency is hunted

---> Failures are never allowed to repeat

Incidents don’t grow.

Problems don’t hide.

Uptime is enforced.

🧠 WHAT YOU’LL OWN

(Real Work. Real Impact.)

🔍 Total Observability

---> Real-time visibility across cloud, application, database & infrastructure

---> High-signal dashboards (Grafana + cloud-native tools)

---> Performance trends tracked before growth breaks systems

🚨 Smart Alerting (No Noise)

---> Alerts that fire only when action is required

---> Zero false positives. Zero alert fatigue

Right signal → right person → right time

⚙ Automation as a Weapon

---> End-to-end automation of operational tasks

---> Standardized logging, metrics & alerting

---> Systems that scale without human friction

🧯 Incident Command & Reliability

---> First responder for critical incidents (on-call rotation)

---> Root cause analysis across network, app, DB & storage

Fix fast — then harden so it never breaks the same way again

📘 Operational Excellence

---> Battle-tested runbooks

---> Documentation that actually works under pressure

Every incident → a stronger platform

🛠️ TECHNOLOGIES YOU’LL MASTER

☁ Cloud: AWS | Azure | Google Cloud

📊 Monitoring: Grafana | Metrics | Traces | Logs

📡 Alerting: Production-grade alerting systems

🌐 Networking: DNS | Routing | Load Balancers | Security

🗄 Databases: Production systems under real pressure

⚙ DevOps: Automation | Reliability Engineering

🎯 WHO WE’RE LOOKING FOR

Engineers who take uptime personally.

You bring:

---> 3+ years in Cloud Ops / DevOps / SRE

---> Live production SaaS experience

---> Deep AWS / Azure / GCP expertise

---> Strong monitoring & alerting experience

---> Solid networking fundamentals

---> Calm, methodical incident response

---> Bonus (Highly Preferred):

---> B2B SaaS + IoT / hybrid platforms

---> Strong automation mindset

---> Engineers who think in systems, not tickets

💼 JOB DETAILS

📍 Bengaluru

🏢 Hybrid (WFH)

💰 (Final CTC depends on experience & interviews)

🌟 WHY THIS ROLE?

Most cloud teams manage uptime. We weaponize it.

Your work won’t just keep systems running — it will keep customers confident, operations flawless, and competitors wondering how it all works so smoothly.

📩 APPLY / REFER : 🔗 Know someone who lives for reliability, observability & cloud excellence?

🚀 RECRUITING BOND HIRING

Role: CLOUD OPERATIONS & MONITORING ENGINEER - (THE GUARDIAN OF UPTIME)

⚡ THIS IS NOT A MONITORING ROLE

THIS IS A COMMAND ROLE

You don’t watch dashboards.

You control outcomes.

You don’t react to incidents.

You eliminate them before they escalate.

This role powers an AI-driven SaaS + IoT platform where:

---> Uptime is non-negotiable

---> Latency is hunted

---> Failures are never allowed to repeat

Incidents don’t grow.

Problems don’t hide.

Uptime is enforced.

🧠 WHAT YOU’LL OWN

(Real Work. Real Impact.)

🔍 Total Observability

---> Real-time visibility across cloud, application, database & infrastructure

---> High-signal dashboards (Grafana + cloud-native tools)

---> Performance trends tracked before growth breaks systems

🚨 Smart Alerting (No Noise)

---> Alerts that fire only when action is required

---> Zero false positives. Zero alert fatigue

Right signal → right person → right time

⚙ Automation as a Weapon

---> End-to-end automation of operational tasks

---> Standardized logging, metrics & alerting

---> Systems that scale without human friction

🧯 Incident Command & Reliability

---> First responder for critical incidents (on-call rotation)

---> Root cause analysis across network, app, DB & storage

Fix fast — then harden so it never breaks the same way again

📘 Operational Excellence

---> Battle-tested runbooks

---> Documentation that actually works under pressure

Every incident → a stronger platform

🛠️ TECHNOLOGIES YOU’LL MASTER

☁ Cloud: AWS | Azure | Google Cloud

📊 Monitoring: Grafana | Metrics | Traces | Logs

📡 Alerting: Production-grade alerting systems

🌐 Networking: DNS | Routing | Load Balancers | Security

🗄 Databases: Production systems under real pressure

⚙ DevOps: Automation | Reliability Engineering

🎯 WHO WE’RE LOOKING FOR

Engineers who take uptime personally.

You bring:

---> 3+ years in Cloud Ops / DevOps / SRE

---> Live production SaaS experience

---> Deep AWS / Azure / GCP expertise

---> Strong monitoring & alerting experience

---> Solid networking fundamentals

---> Calm, methodical incident response

---> Bonus (Highly Preferred):

---> B2B SaaS + IoT / hybrid platforms

---> Strong automation mindset

---> Engineers who think in systems, not tickets

💼 JOB DETAILS

📍 Bengaluru

🏢 Hybrid (WFH)

💰 (Final CTC depends on experience & interviews)

🌟 WHY THIS ROLE?

Most cloud teams manage uptime. We weaponize it.

Your work won’t just keep systems running — it will keep customers confident, operations flawless, and competitors wondering how it all works so smoothly.

📩 APPLY / REFER : 🔗 Know someone who lives for reliability, observability & cloud excellence?

About Tarento:

Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions.

We're proud to be recognized as a Great Place to Work, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you’ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.

Scope of Work:

• Support the migration of applications from Windows Server 2008 to Windows Server 2019 or 2022 in an IaaS environment.
• Migrate IIS websites, Windows Services, and related application components.
• Assist with migration considerations for SQL Server connections, instances, and basic data-related dependencies.
• Evaluate and migrate message queues (MSMQ or equivalent technologies).
• Document the existing environment, migration steps, and post-migration state.
• Work closely with DevOps, development, and infrastructure teams throughout the project.

Required Skills & Experience:

• Strong hands-on experience with IIS administration, configuration, and application migration.
• Proven experience migrating workloads between Windows Server versions, ideally legacy to modern.
• Knowledge of Windows Services setup, configuration, and troubleshooting.
• Practical understanding of SQL Server (connection strings, service accounts, permissions).
• Experience with queues IBM/MSMQ or similar) and their migration considerations.
• Ability to identify migration risks, compatibility constraints, and remediation options.
• Strong troubleshooting and analytical skills.
• Familiarity with Microsoft technologies (.Net, etc)
• Networking and Active Directory related knowledge

Desirable / Nice-to-Have

• Exposure to CI/CD tools, especially TeamCity and Octopus Deploy.
• Familiarity with Azure services and related tools (Terraform, etc)
• PowerShell scripting for automation or configuration tasks.
• Understanding enterprise change management and documentation practices.
• Security

Soft Skills

• Clear written and verbal communication.
• Ability to work independently while collaborating with cross-functional teams.
• Strong attention to detail and a structured approach to execution.
• Troubleshooting
• Willingness to learn.

Location & Engagement Details

We are looking for a Senior DevOps Consultant for an onsite role in Stockholm (Sundbyberg office). This opportunity is open to candidates currently based in Bengaluru who are willing to relocate to Sweden for the assignment.

The role will start with an initial 6-month onsite engagement, with the possibility of extension based on project requirements and performance.

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.

Role Overview

We are seeking a DevOps Engineer with 2 years of experience to join our innovative team. The ideal

candidate will bridge the gap between development and operations, implementing and maintaining our

cloud infrastructure while ensuring secure deployment pipelines and robust security practices for our

client projects.

Responsibilities:

• Design, implement, and maintain CI/CD pipelines.
• Containerize applications using Docker and orchestrate deployments
• Manage and optimize cloud infrastructure on AWS and Azure platforms
• Monitor system performance and implement automation for operational tasks to ensure optimal
• performance, security, and scalability.
• Troubleshoot and resolve infrastructure and deployment issues
• Create and maintain documentation for processes and configurations
• Collaborate with cross-functional teams to gather requirements, prioritise tasks, and contribute to project completion.
• Stay informed about emerging technologies and best practices within the fields of DevOps and cloud computing.

Requirements:

• 2+ years of hands-on experience with AWS cloud services
• Strong proficiency in CI/CD pipeline configuration
• Expertise in Docker containerisation and container management
• Proficiency in shell scripting (Bash/Power-Shell)
• Working knowledge of monitoring and logging tools
• Knowledge of network security and firewall configuration
• Strong communication and collaboration skills, with the ability to work effectively within a team
• environment
• Understanding of networking concepts and protocols in AWS and/or Azure

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.

Job Description

Experience: 5 - 9 years

Location: Bangalore/Pune/Hyderabad

Work Mode: Hybrid(3 Days WFO)

Senior Cloud Infrastructure Engineer for Data Platform 

The ideal candidate will play a critical role in designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines to support scalable, secure, and efficient data and analytics solutions. This role requires a strong understanding of cloud-native technologies, DevOps best practices, and hands-on experience with Azure and Databricks.

Key Responsibilities:

Cloud Infrastructure Design & Management

Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.

Implement best practices for Azure Resource Management, including resource groups, virtual networks, and storage accounts.

Optimize cloud costs and ensure high availability and disaster recovery for critical systems

Databricks Platform Management

Set up, configure, and maintain Databricks workspaces for data engineering, machine learning, and analytics workloads.

Automate cluster management, job scheduling, and monitoring within Databricks.

Collaborate with data teams to optimize Databricks performance and ensure seamless integration with Azure services.

CI/CD Pipeline Development

Design and implement CI/CD pipelines for deploying infrastructure, applications, and data workflows using tools like Azure DevOps, GitHub Actions, or similar.

Automate testing, deployment, and monitoring processes to ensure rapid and reliable delivery of updates.

Monitoring & Incident Management

Implement monitoring and alerting solutions using tools like Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.

Troubleshoot and resolve infrastructure and application issues, ensuring minimal downtime.

Security & Compliance

Enforce security best practices, including identity and access management (IAM), encryption, and network security.

Ensure compliance with organizational and regulatory standards for data protection and cloud operations.

Collaboration & Documentation

Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to align infrastructure with business needs.

Maintain comprehensive documentation for infrastructure, processes, and configurations.

Required Qualifications

Education: Bachelor’s degree in Computer Science, Engineering, or a related field.

Must Have Experience:

6+ years of experience in DevOps or Cloud Engineering roles.

Proven expertise in Microsoft Azure services, including Azure Data Lake, Azure Databricks, Azure Data Factory (ADF), Azure Functions, Azure Kubernetes Service (AKS), and Azure Active Directory.

Hands-on experience with Databricks for data engineering and analytics.

Technical Skills:

Proficiency in Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.

Strong scripting skills in Python, or Bash.

Experience with containerization and orchestration tools like Docker and Kubernetes.

Familiarity with version control systems (e.g., Git) and CI/CD tools (e.g., Azure DevOps, GitHub Actions).

Soft Skills:

Strong problem-solving and analytical skills.

Excellent communication and collaboration abilities.

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.

2

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

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

Job Description

We are seeking a highly skilled DevOps / Kubernetes Engineer. The ideal candidate will have strong expertise in container orchestration, infrastructure as code, and GitOps workflows, with hands-on experience in Azure cloud environments. You will be responsible for designing, deploying, and managing modern cloud-native infrastructure and applications at scale.

Key Responsibilities:

· Manage and operate Kubernetes clusters (AKS / K3s) for large-scale applications.

· Implement infrastructure as code using Terraform or OpenTofu for scalable, reliable, and secure infrastructure provisioning.

· Deploy and manage applications using Helm and ArgoCD with GitOps best practices.

· Work with Podman and Docker as container runtimes for development and production environments.

· Collaborate with cross-functional teams to ensure smooth deployment pipelines and CI/CD integrations.

· Optimize infrastructure for cost, performance, and reliability within Azure cloud.

· Troubleshoot, monitor, and maintain system health, scalability, and performance.

Required Skills & Experience:

· Strong hands-on experience with Kubernetes (AKS / K3s) cluster orchestration.

· Proficiency in Terraform or OpenTofu for infrastructure as code.

· Experience with Helm and ArgoCD for application deployment and GitOps.

· Solid understanding of Docker / Podman container runtimes.

· Cloud expertise in Azure with experience deploying and scaling workloads.

· Familiarity with CI/CD pipelines, monitoring, and logging frameworks.

· Knowledge of best practices around cloud security, scalability, and high availability.

Preferred Qualifications:

· Contributions to open-source projects under Apache 2.0 / MPL 2.0 licenses.

· Experience working in global distributed teams across CST/PST time zones.

· Strong problem-solving skills and ability to work independently in a fast-paced environment.

Role: DevOps Engineer

Exp: 4 - 7 Years

CTC: up to 28 LPA

Key Responsibilities

•   Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)

•   Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)

•   Develop and maintain CI/CD pipelines for multiple services and environments

•   Manage infrastructure as code using tools like Terraform and/or Pulumi

•   Automate operations with Python and shell scripting for deployment, monitoring, and maintenance

•   Ensure high availability and performance of production systems and troubleshoot incidents effectively

•   Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.

•   Collaborate with development, security, and product teams to align infrastructure with business needs

•   Apply best practices in cloud networking, Linux administration, and configuration management

•   Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)

•   Participate in on-call rotations and incident response activities

If Interested kindly share your updated resume on 82008 31681

Job Title: DevOps - 3

Roles and Responsibilities:

• Develop deep understanding of the end-to-end configurations, dependencies, customer requirements, and overall characteristics of the production services as the accountable owner for overall service operations
• Implementing best practices, challenging the status quo, and tab on industry and technical trends, changes, and developments to ensure the team is always striving for best-in-class work
• Lead incident response efforts, working closely with cross-functional teams to resolve issues quickly and minimize downtime. Implement effective incident management processes and post-incident reviews
• Participate in on-call rotation responsibilities, ensuring timely identification and resolution of infrastructure issues
• Possess expertise in designing and implementing capacity plans, accurately estimating costs and efforts for infrastructure needs.
• Systems and Infrastructure maintenance and ownership for production environments, with a continued focus on improving efficiencies, availability, and supportability through automation and well defined runbooks
• Provide mentorship and guidance to a team of DevOps engineers, fostering a collaborative and high-performing work environment. Mentor team members in best practices, technologies, and methodologies.
• Design for Reliability - Architect & implement solutions that keeps Infrastructure running with Always On availability and ensures high uptime SLA for the Infrastructure
• Manage individual project priorities, deadlines, and deliverables related to your technical expertise and assigned domains
• Collaborate with Product & Information Security teams to ensure the integrity and security of Infrastructure and applications. Implement security best practices and compliance standards.

Must Haves

• 5-8 years of experience as Devops / SRE / Platform Engineer.
• Strong expertise in automating Infrastructure provisioning and configuration using tools like Ansible, Packer, Terraform, Docker, Helm Charts etc.
• Strong skills in network services such as DNS, TLS/SSL, HTTP, etc
• Expertise in managing large-scale cloud infrastructure (preferably AWS and Oracle)
• Expertise in managing production grade Kubernetes clusters
• Experience in scripting using programming languages like Bash, Python, etc.
• Expertise in skill sets for centralized logging systems, metrics, and tooling frameworks such as ELK, Prometheus/VictoriaMetrics, and Grafana etc.
• Experience in Managing and building High scale API Gateway, Service Mesh, etc
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive
• Have a working knowledge of a backend programming language
• Deep knowledge & experience with Unix / Linux operating systems internals (Eg. filesystems, user management, etc)
• A working knowledge and deep understanding of cloud security concepts
• Proven track record of driving results and delivering high-quality solutions in a fast-paced environment
• Demonstrated ability to communicate clearly with both technical and non-technical project stakeholders, with the ability to work effectively in a cross-functional team environment. 

Key Responsibilities:

Kubernetes Management:

Deploy, configure, and maintain Kubernetes clusters on AKS, EKS, GKE, and OKE.

Troubleshoot and resolve issues related to cluster performance and availability.

Database Migration:

 Plan and execute database migration strategies across multicloud environments, ensuring data integrity and minimal downtime.

Collaborate with database teams to optimize data flow and management.

Coding and Development:

 Develop, test, and optimize code with a focus on enhancing algorithms and data structures for system performance.

Implement best coding practices and contribute to code reviews.

Cross-Platform Integration:

  Facilitate seamless integration of services across different cloud providers to enhance interoperability.

Collaborate with development teams to ensure consistent application performance across environments.

Performance Optimization:

  Monitor system performance metrics, identify bottlenecks, and implement effective solutions to optimize resource utilization.

Conduct regular performance assessments and provide recommendations for improvements.

Experience:

  Minimum of 2+ years of experience in cloud computing, with a strong focus on Kubernetes management across multiple platforms.

Technical Skills:

  Proficient in cloud services and infrastructure, including networking and security considerations.

Strong programming skills in languages such as Python, Go, or Java, with a solid understanding of algorithms and data structures.

Problem-Solving:

 Excellent analytical and troubleshooting skills with a proactive approach to identifying and resolving issues.

Communication:

 Strong verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.

Preferred Skills:

- Familiarity with CI/CD tools and practices.

- Experience with container orchestration and management tools.

- Knowledge of microservices architecture and design patterns.

Looking for an experienced Cloud Engineering & DevOps Leader with proven

expertise in building and managing large-scale SaaS platforms in the financial services or

high-transaction domain. The ideal candidate will have a strong background in AWS cloud

infrastructure, DevOps automation, compliance frameworks (ISO, VAPT), and cost

optimization strategies.

Cloud Platforms: AWS (Lambda, EC2, VPC, CloudFront, Auto Scaling, etc.)

● DevOps & Automation: Python, CI/CD, Infrastructure as Code, Monitoring/Alerting

systems

● Monitoring & Logging: ELK stack, Kafka, Redis, Grafana

● Networking & Virtualization: Virtual Machines, Firewalls, Load Balancers, DR

setup

● Compliance & Security: ISO Audits, VAPT, ISMS, DR drills, high-availability

planning

● Leadership & Management: Team leadership, project management, stakeholder

collaboration

Preferred Profile

● Experience: 15–20 years in infrastructure, cloud engineering, or DevOps roles, with

at least 5 years in a leadership position.

● Domain Knowledge: Experience in broking, financial services, or high-volume

trading platforms is strongly preferred.

● Education: Bachelor’s Degree in Engineering / Computer Science / Electronics or

related field.

● Soft Skills: Strong problem-solving, cost-conscious approach, ability to work under

pressure, cross-functional collaboration.

Role: DevOps Engineer

Exp: 4 - 7 Years

CTC: up to 28 LPA

Key Responsibilities

•   Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)

•   Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)

•   Develop and maintain CI/CD pipelines for multiple services and environments

•   Manage infrastructure as code using tools like Terraform and/or Pulumi

•   Automate operations with Python and shell scripting for deployment, monitoring, and maintenance

•   Ensure high availability and performance of production systems and troubleshoot incidents effectively

•   Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.

•   Collaborate with development, security, and product teams to align infrastructure with business needs

•   Apply best practices in cloud networking, Linux administration, and configuration management

•   Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)

•   Participate in on-call rotations and incident response activities

Salary (Lacs): Up to 22 LPA

Required Qualifications

•   4–7 years of total experience, with a minimum of 4 years in a full-time DevOps role

•   Hands-on experience with major cloud platforms (GCP, AWS, Azure, OCI), more than one will be a plus

•   Proficient in Kubernetes administration and container technologies (Docker, containerd)

•   Strong Linux fundamentals

•   Scripting skills in Python and shell scripting

•   Knowledge of infrastructure as code with hands-on experience in Terraform and/or Pulumi (mandatory)

•   Experience in maintaining and troubleshooting production environments

•   Solid understanding of CI/CD concepts with hands-on experience in tools like Jenkins, GitLab CI, GitHub Actions, ArgoCD, Devtron, GCP Cloud Build, or Bitbucket Pipelines

If Interested kindly share your updated resume on 82008 31681

Job Type : Contract

Location : Bangalore

Experience : 5+yrs

The role focuses on cloud security engineering with a strong emphasis on GCP, while also covering AWS and Azure.

Required Skills:

• 5+ years of experience in software and/or cloud platform engineering, particularly focused on GCP environment.
• Knowledge of the Shared Responsibility Model; keen understanding of the security risks inherent in hosting cloud-based applications and data.
• Experience developing across the security assurance lifecycle (including prevent, detect, respond, and remediate controls)?Experience in configuring Public Cloud native security tooling and capabilities with a focus on Google Cloud Organizational policies/constraints, VPC SC, IAM policies and GCP APIs.
• Experience with Cloud Security Posture Management (CSPM) 3rd Party tools such as Wiz, Prisma, Check Point CloudGuard, etc.
• Experience in Policy-as-code (Rego) and OPA platform.
• Experience solutioning and configuring event-driven serverless-based security controls in Azure, including but not limited to technologies such as Azure Function, Automation Runbook, AWS Lambda and Google Cloud Functions.
• Deep understanding of DevOps processes and workflows.
• Working knowledge of the Secure SDLC process
• Experience with Infrastructure as Code (IaC) tooling, preferably Terraform.
• Familiarity with Logging and data pipeline concepts and architectures in cloud.
• Strong in scripting languages such as PowerShell or Python or Bash or Go.
• Knowledge of Agile best practices and methodologies
• Experience creating technical architecture documentation.? Excellent communication, written and interpersonal skills.
• Practical experience in designing and configuring CICD pipelines. Practical experience in GitHub Actions and Jenkins.
• Experience in ITSM.
• Ability to articulate complex technical concepts to non-technical stakeholders.
• Experience with risk control frameworks and engagements with risk and regulatory functions
• Experience in the financial industry would be a plus.

Hi,

Please find the job description for Cloud Devops Engineer role with Wissen Technology.

Website and Company profile:

www.wissen.com

LinkedIn Page:

https://www.linkedin.com/company/wissen-technology/

Interview Process : There will be 3 rounds of interview. 1 will be in office.

Client- (Hybrid Work Mode) (Product based organization)

Location:Bellandur,Bengaluru

JD:

Experience Level: 4-8 years

About the Role:

We are seeking a skilled AWS Engineer with strong expertise in AWS cloud services, Amazon EKS, and Kubernetes to join our team in Bengaluru. The ideal candidate will have a deep understanding of cloud infrastructure and container orchestration, with minimal Java development experience (10%) to support application integration.

Required Skills and Qualifications:

• 3-6 years of experience in AWS cloud engineering and architecture.
• Strong expertise in Amazon EKS and Kubernetes for container orchestration.
• Preferably certified in CKA (Certified Kubernetes Administrator) and AWS Certified Solutions Architect or equivalent.
• Hands-on experience with AWS services (EC2, S3, RDS, Lambda, IAM, etc.).
• Basic proficiency in Java (10% of role) for supporting application integration.
• Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
• Knowledge of CI/CD pipelines and DevOps practices.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• MUST HAVE SKILLS:EKS,ArgoCD,Kubenetes,Gitops.

Preferred Qualifications:

• Experience with microservices architecture and Docker.
• Familiarity with monitoring tools like Prometheus, Grafana, or ELK stack.
• Understanding of networking and security best practices in AWS.

Job Title: Sr Dev Ops Engineer

Location: Bengaluru- India (Hybrid work type)

Reports to: Sr Engineer manager

About Our Client : 

We are a solution-based, fast-paced tech company with a team that thrives on collaboration and innovative thinking. Our Client's IoT solutions provide real-time visibility and actionable insights for logistics and supply chain management. Cloud-based, AI-enhanced metrics coupled with patented hardware optimize processes, inform strategic decision making and enable intelligent supply chains without the costly infrastructure

About the role : We're looking for a passionate DevOps Engineer to optimize our software delivery and infrastructure. You'll build and maintain CI/CD pipelines for our microservices, automate infrastructure, and ensure our systems are reliable, scalable, and secure. If you thrive on enhancing performance and fostering operational excellence, this role is for you. 

What You'll Do 🛠️

• Cloud Platform Management: Administer and optimize AWS resources, ensuring efficient billing and cost management.
• Billing & Cost Optimization: Monitor and optimize cloud spending.
• Containerization & Orchestration: Deploy and manage applications and orchestrate them.
• Database Management: Deploy, manage, and optimize database instances and their lifecycles.
• Authentication Solutions: Implement and manage authentication systems.
• Backup & Recovery: Implement robust backup and disaster recovery strategies, for Kubernetes cluster and database backups.
• Monitoring & Alerting: Set up and maintain robust systems using tools for application and infrastructure health and integrate with billing dashboards.
• Automation & Scripting: Automate repetitive tasks and infrastructure provisioning.
• Security & Reliability: Implement best practices and ensure system performance and security across all deployments.
• Collaboration & Support: Work closely with development teams, providing DevOps expertise and support for their various application stacks. 

What You'll Bring 💼

• Minimum of 4 years of experience in a DevOps or SRE role.
• Strong proficiency in AWS Cloud, including services like Lambda, IoT Core, ElastiCache, CloudFront, and S3.
• Solid understanding of Linux fundamentals and command-line tools.
• Extensive experience with CI/CD tools, GitLab CI.
• Hands-on experience with Docker and Kubernetes, specifically AWS EKS.
• Proven experience deploying and managing microservices.
• Expertise in database deployment, optimization, and lifecycle management (MongoDB, PostgreSQL, and Redis).
• Experience with Identity and Access management solutions like Keycloak.
• Experience implementing backup and recovery solutions.
• Familiarity with optimizing scaling, ideally with Karpenter.
• Proficiency in scripting (Python, Bash).
• Experience with monitoring tools such as Prometheus, Grafana, AWS CloudWatch, Elastic Stack.
• Excellent problem-solving and communication skills. 

Bonus Points ➕

• Basic understanding of MQTT or general IoT concepts and protocols.
• Direct experience optimizing React.js (Next.js), Node.js (Express.js, Nest.js) or Python (Flask) deployments in a containerized environment.
• Knowledge of specific AWS services relevant to application stacks.
• Contributions to open-source projects related to Kubernetes, MongoDB, or any of the mentioned frameworks.
• AWS Certifications (AWS Certified DevOps Engineer, AWS Certified Solutions Architect, AWS Certified SysOps Administrator, AWS Certified Advanced Networking).

Why this role: 

•You will help build the company from the ground up—shaping our culture and having an impact from Day 1 as part of the foundational team.

Job Title: Sr Dev Ops Engineer

Location: Bengaluru- India (Hybrid work type)

Reports to: Sr Engineer manager

About Our Client : 

We are a solution-based, fast-paced tech company with a team that thrives on collaboration and innovative thinking. Our Client's IoT solutions provide real-time visibility and actionable insights for logistics and supply chain management. Cloud-based, AI-enhanced metrics coupled with patented hardware optimize processes, inform strategic decision making and enable intelligent supply chains without the costly infrastructure

About the role : We're looking for a passionate DevOps Engineer to optimize our software delivery and infrastructure. You'll build and maintain CI/CD pipelines for our microservices, automate infrastructure, and ensure our systems are reliable, scalable, and secure. If you thrive on enhancing performance and fostering operational excellence, this role is for you. 

What You'll Do 🛠️

• Cloud Platform Management: Administer and optimize AWS resources, ensuring efficient billing and cost management.
• Billing & Cost Optimization: Monitor and optimize cloud spending.
• Containerization & Orchestration: Deploy and manage applications and orchestrate them.
• Database Management: Deploy, manage, and optimize database instances and their lifecycles.
• Authentication Solutions: Implement and manage authentication systems.
• Backup & Recovery: Implement robust backup and disaster recovery strategies, for Kubernetes cluster and database backups.
• Monitoring & Alerting: Set up and maintain robust systems using tools for application and infrastructure health and integrate with billing dashboards.
• Automation & Scripting: Automate repetitive tasks and infrastructure provisioning.
• Security & Reliability: Implement best practices and ensure system performance and security across all deployments.
• Collaboration & Support: Work closely with development teams, providing DevOps expertise and support for their various application stacks. 

What You'll Bring 💼

• Minimum of 4 years of experience in a DevOps or SRE role.
• Strong proficiency in AWS Cloud, including services like Lambda, IoT Core, ElastiCache, CloudFront, and S3.
• Solid understanding of Linux fundamentals and command-line tools.
• Extensive experience with CI/CD tools, GitLab CI.
• Hands-on experience with Docker and Kubernetes, specifically AWS EKS.
• Proven experience deploying and managing microservices.
• Expertise in database deployment, optimization, and lifecycle management (MongoDB, PostgreSQL, and Redis).
• Experience with Identity and Access management solutions like Keycloak.
• Experience implementing backup and recovery solutions.
• Familiarity with optimizing scaling, ideally with Karpenter.
• Proficiency in scripting (Python, Bash).
• Experience with monitoring tools such as Prometheus, Grafana, AWS CloudWatch, Elastic Stack.
• Excellent problem-solving and communication skills. 

Bonus Points ➕

• Basic understanding of MQTT or general IoT concepts and protocols.
• Direct experience optimizing React.js (Next.js), Node.js (Express.js, Nest.js) or Python (Flask) deployments in a containerized environment.
• Knowledge of specific AWS services relevant to application stacks.
• Contributions to open-source projects related to Kubernetes, MongoDB, or any of the mentioned frameworks.
• AWS Certifications (AWS Certified DevOps Engineer, AWS Certified Solutions Architect, AWS Certified SysOps Administrator, AWS Certified Advanced Networking).

Why this role: 

•You will help build the company from the ground up—shaping our culture and having an impact from Day 1 as part of the foundational team.

🚀 Hiring: Dot net full stack at Deqode

⭐ Experience: 8+ Years

📍 Location: Bangalore | Mumbai | Pune | Gurgaon | Chennai | Hyderabad

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

We’re looking for an experienced Dotnet Full Stack Developer with strong hands-on skills in ReactJS, .NET Core, and Azure Cloud Services (Azure Functions, Azure SQL, APIM, etc.).

⭐ Must-Have Skills:-

➡️ Design and develop scalable web applications using ReactJS, C#, and .NET Core.

➡️Azure (Functions, App Services, SQL, APIM, Service Bus)

➡️Familiarity with DevOps practices, CI/CD pipelines, Docker, and Kubernetes.

➡️Advanced experience in Entity Framework Core and SQL Server.

➡️Expertise in RESTful API development and microservices.

Job Title: Senior System Administrator

Location: Bangalore

Experience Required: 7+ Years

Work Mode:

• 5 Days Working
• Rotational Shifts
• Hybrid Work after probation

Job Description:

We are seeking a Senior System Administrator with 7+ years of hands-on experience in managing Windows Server environments, virtualization technologies, automation tools, and hybrid infrastructure (on-prem & Azure). The ideal candidate should possess strong problem-solving skills, be proficient in scripting, and have experience in Office 365 and Microsoft Intune administration.

Key Responsibilities:

• Manage and maintain Windows Server environments
• Handle virtualization platforms such as Citrix, Nutanix, VMware, Hyper-V
• Implement and maintain automation using tools like Ansible, Terraform, PowerShell
• Work with Infrastructure as Code (IaC) platforms and DevOps frameworks
• Support and manage Office 365 and Microsoft Intune
• Monitor and support Data Center Operations (DCO) and NOC
• Ensure security and compliance across systems
• Provide scripting and troubleshooting support for infrastructure automation
• Collaborate with teams for CI/CD pipeline integration
• Handle monitoring, backup, and disaster recovery processes
• Work effectively in a hybrid environment (on-prem and Azure)

Skills Required:

• Office 365 Administration
• Microsoft Intune Administration
• Security & Compliance
• Automation & Infrastructure as Code (IaC)
• Tools: PowerShell, Terraform, Ansible
• CI/CD and DevOps framework exposure
• Monitoring & Backup
• Data Center Operations (DCO) & NOC Support
• Hybrid environment experience (on-prem and Azure)
• Scripting & Troubleshooting
• PowerShell scripting for automation