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PythonJob Title : IBM Sterling Integrator Developer
Experience : 3 to 5 Years
Locations : Hyderabad, Bangalore, Mumbai, Gurgaon, Chennai, Pune
Employment Type : Full-Time
Job Description :
We are looking for a skilled IBM Sterling Integrator Developer with 3–5 years of experience to join our team across multiple locations.
The ideal candidate should have strong expertise in IBM Sterling and integration, along with scripting and database proficiency.
Key Responsibilities :
- Develop, configure, and maintain IBM Sterling Integrator solutions.
- Design and implement integration solutions using IBM Sterling.
- Collaborate with cross-functional teams to gather requirements and provide solutions.
- Work with custom languages and scripting to enhance and automate integration processes.
- Ensure optimal performance and security of integration systems.
Must-Have Skills :
- Hands-on experience with IBM Sterling Integrator and associated integration tools.
- Proficiency in at least one custom scripting language.
- Strong command over Shell scripting, Python, and SQL (mandatory).
- Good understanding of EDI standards and protocols is a plus.
Interview Process :
- 2 Rounds of Technical Interviews.
Additional Information :
- Open to candidates from Hyderabad, Bangalore, Mumbai, Gurgaon, Chennai, and Pune.
Python
Kubernetes
Docker
Amazon Web Services (AWS)DevOps Engineer
Location: Bangalore office
About Peliqan
Peliqan is an all-in-one data platform combining ELT/ETL pipelines, a built-in data warehouse, SQL and low-code Python transformations, reverse ETL, and AI-powered data activation. We connect 250+ data sources and serve enterprise teams, consultants, and SaaS companies. SOC 2 Type II certified and GDPR compliant.
The Role
Own and evolve the infrastructure powering Peliqan's multi-tenant data platform. You'll manage Kubernetes clusters, cloud resources, CI/CD pipelines, and monitoring — keeping everything reliable, secure, and scalable. You'll be the go-to person for infrastructure support across the engineering team.
Responsibilities
Manage and optimise Kubernetes clusters running production workloads — data pipelines, APIs, and customer-facing services.
Maintain Docker-based local development environments for the engineering team.
Administer cloud infrastructure on AWS and Google Cloud (compute, storage, networking, managed databases).
Build and maintain CI/CD pipelines for automated testing, building, and deploying across staging and production.
Set up and manage monitoring, alerting, and logging for platform health and incident response.
Manage release processes — deployments, rollbacks, and release strategies.
- Maintain infrastructure-as-code using Helm charts.
- Support security hardening and compliance efforts (SOC 2, GDPR).
Requirements
3+ years in a DevOps, SRE, or Infrastructure Engineering role.
Strong hands-on experience with Kubernetes and Helm charts.
Deep familiarity with Docker for containerisation and local dev workflows.
Production experience with AWS and/or Google Cloud.
- Proficiency in Python and Bash scripting for automation and tooling.
- Solid grasp of DevOps principles: infrastructure-as-code, GitOps, observability, continuous delivery.
- Experience with CI/CD platforms (GitHub Actions, GitLab CI, or similar).
Nice to Have
- Experience supporting multi-tenant SaaS platforms or data infrastructure at scale.
- Knowledge of PostgreSQL, MySQL, or cloud-managed database administration.
- Exposure to security compliance frameworks (SOC 2, ISO 27001, GDPR).
KubernetesImmediate Hiring: GCP DevOps Engineer | Mumbai & Bengaluru (On-site)
OpsTree Global is urgently hiring a GCP DevOps Engineer with 4–9 years of experience for immediate requirements in Mumbai and Bengaluru.
Key Skills
- Google Cloud Platform (GCP)
- Terraform / Infrastructure as Code (IaC)
- Kubernetes & Helm Charts
- CI/CD – Jenkins, GitLab CI, GitHub Actions
- Linux Administration
- Scripting – Python / Go / Java
Role Responsibilities
- Build and manage scalable cloud infrastructure on GCP
- Automate deployments and infrastructure provisioning
- Ensure system reliability, monitoring, and performance optimization
- Collaborate with development and operations teams for seamless delivery
📍 Locations: Mumbai & Bengaluru (On-site)
⚡ Immediate Joiners Preferred
💼 Experience: 4–9 Years
PythonJob Summary:
The Lead IaC Engineer will design, implement, automate, and maintain infrastructure across on-premises and cloud environments. This role should have strong hands-on expertise in Chef, Python, Terraform, and some AWS & Windows administration knowledge.
8-12 years of experience
Primary Skills – Chef, Python, and Terraform
Secondary – AWS & Windows admin (Cloud is not mandatory)
Amazon Web Services (AWS)
MongoDB-
Working with Ruby, Python, Perl, and Java
-
Troubleshooting and having working knowledge of various tools, open-source technologies, and cloud services.
-
Configuring and managing databases and cache layers such as MySQL, Mongo, Elasticsearch, Redis
-
Setting up all databases and for optimisations (sharding, replication, shell scripting etc)
-
Creating user, Domain handling, Service handling, Backup management, Port management, SSL services
-
Planning, testing & development of IT Infrastructure ( Server configuration and Database) and handling the technical issue related to server Docker and VM optimization
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Demonstrate awareness of DB management, server related work, Elasticsearch.
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Selecting and deploying appropriate CI/CD tools
-
Striving for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
-
Experience working on Linux based infrastructure
-
Awareness of critical concepts in DevOps and Agile principles
-
6-8 years of experience
KubernetesDockerAmazon Web Services (AWS)Experience and Education
• Bachelor’s degree in engineering or equivalent.
Work experience
• 4+ years of infrastructure and operations management
Experience at a global scale.
• 4+ years of experience in operations management, including monitoring, configuration management, automation, backup, and recovery.
• Broad experience in the data center, networking, storage, server, Linux, and cloud technologies.
• Broad knowledge of release engineering: build, integration, deployment, and provisioning, including familiarity with different upgrade models.
• Demonstratable experience with executing, or being involved of, a complete end-to-end project lifecycle.
Skills
• Excellent communication and teamwork skills – both oral and written.
• Skilled at collaborating effectively with both Operations and Engineering teams.
• Process and documentation oriented.
• Attention to details. Excellent problem-solving skills.
• Ability to simplify complex situations and lead calmly through periods of crisis.
• Experience implementing and optimizing operational processes.
• Ability to lead small teams: provide technical direction, prioritize tasks to achieve goals, identify dependencies, report on progress.
Technical Skills
• Strong fluency in Linux environments is a must.
• Good SQL skills.
• Demonstratable scripting/programming skills (bash, python, ruby, or go) and the ability to develop custom tool integrations between multiple systems using their published API’s / CLI’s.
• L3, load balancer, routing, and VPN configuration.
• Kubernetes configuration and management.
• Expertise using version control systems such as Git.
• Configuration and maintenance of database technologies such as Cassandra, MariaDB, Elastic.
• Designing and configuration of open-source monitoring systems such as Nagios, Grafana, or Prometheus.
• Designing and configuration of log pipeline technologies such as ELK (Elastic Search Logstash Kibana), FluentD, GROK, rsyslog, Google Stackdriver.
• Using and writing modules for Infrastructure as Code tools such as Ansible, Terraform, helm, customize.
• Strong understanding of virtualization and containerization technologies such as VMware, Docker, and Kubernetes.
• Specific experience with Google Cloud Platform or Amazon EC2 deployments and virtual machines.c
Amazon Web Services (AWS)
Git● Building and managing multiple application environments on AWS using automation tools like Terraform or
Cloudformation etc.
● Deploy applications with zero downtime via automation with configuration management tools such as Ansible.
● Setting up Infrastructure monitoring tools such as Prometheus, Grafana
● Setting up centralised logging using tools such as ELK.
● Containerisation of applications/microservices.
● Ensure application availability to 99.9% with highly available infrastructure.
● Monitoring performance of applications and databases.
● Ensuring that systems are safe and secure against cyber security threats.
● Working with software developers to ensure that release cycle and deployment processes are followed.
● Evaluating existing applications and platforms, give recommendations for enhancing performance via gap analysis,
identifying the most practical alternative solutions and assisting with modifications.
Skills -
● Strong knowledge of AWS Managed Services such as EC2, RDS, ECS, ECR, S3, Cloudfront, SES, Redshift, Elastic Cache,
AMQP etc.
● Experience in handling production workloads.
● Experience with Nginx web server.
● Experience with NoSql and Sql Databases such as MongoDB, Postgresql etc.
● Experience with Containerisation of applications/micro services using Docker.
● Understanding of system administration in Linux environments.
● Strong Knowledge of Infrastructure as a Code such as Terraform, Cloudformation etc.
● Strong knowledge of configuration management tools such as Ansible, Chef etc.
● Familiarity with tools such as GitLab, Jenkins, Vercel, JIRA etc.
● Proficiency in scripting languages including Bash, Python etc.
● Full understanding of software development lifecycle best practices and agile methodology
● Strong communication and documentation skills.
● An ability to drive to goals and milestones while valuing and maintaining a strong attention to detail
● Excellent judgment, analytical thinking, and problem-solving skills
● Self-motivated individual that possesses excellent time management and organizational skills
Amazon Web Services (AWS)KubernetesPythonAs DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to work on, helping to enhance our product performance and reliability.
Responsibilities:
- Build & operate infrastructure to support website, backed cluster, ML projects in the organization.
- Helping teams become more autonomous and allowing the Operation team to focus on improving the infrastructure and optimizing processes.
- Delivering system management tooling to the engineering teams.
- Working on your own applications which will be used internally.
- Contributing to open source projects that we are using (or that we may start).
- Be an advocate for engineering best practices in and out of the company.
- Organizing tech talks and participating in meetups and representing Box8 at industry events.
- Sharing pager duty for the rare instances of something serious happening.
- Collaborate with other developers to understand & setup tooling needed for Continuous Integration/Delivery/Deployment (CI/CD) practices.
Requirements:
- 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing amounts of traffic and new product requirements.
- Ruby On Rails or Python and Bash/Shell skills.
- Experience managing complex systems at scale.
- Experience with Docker, rkt or similar container engine.
- Experience with Kubernetes or similar clustering solutions.
- Experience with tools such as Ansible or Chef Understanding of the importance of smart metrics and alerting.
- Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch).
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience in working on linux based servers.
- Managing large scale production grade infrastructure on AWS Cloud.
- Good Knowledge on scripting languages like ruby, python or bash.
- Experience in creating in deployment pipeline from scratch.
- Expertise in any of the CI tools, preferably Jenkins.
- Good knowledge of docker containers and its usage.
- Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu.
Good to have:
- Knowledge of Ruby on Rails based applications and its deployment methodologies.
- Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
- Extra Points For Experience With Front-end development NewRelic GCP Kafka, Elasticsearch.
Python• Develop and maintain CI/CD tools to build and deploy scalable web and responsive applications in production environment
• Design and implement monitoring solutions that identify both system bottlenecks and production issues
• Design and implement workflows for continuous integration, including provisioning, deployment, testing, and version control of the software.
• Develop self-service solutions for the engineering team in order to deliver sites/software with great speed and quality
o Automating Infra creation
o Provide easy to use solutions to engineering team
• Conduct research, tests, and implements new metrics collection systems that can be reused and applied as engineering best practices
o Update our processes and design new processes as needed.
o Establish DevOps Engineer team best practices.
o Stay current with industry trends and source new ways for our business to improve.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Manage timely resolution of all critical and/or complex problems
• Maintain, monitor, and establish best practices for containerized environments.
• Mentor new DevOps engineers
What you will bring
• The desire to work in fast-paced environment.
• 5+ years’ experience building, maintaining, and deploying production infrastructures in AWS or other cloud providers
• Containerization experience with applications deployed on Docker and Kubernetes
• Understanding of NoSQL and Relational Database with respect to deployment and horizontal scalability
• Demonstrated knowledge of Distributed and Scalable systems Experience with maintaining and deployment of critical infrastructure components through Infrastructure-as-Code and configuration management tooling across multiple environments (Ansible, Terraform etc)
• Strong knowledge of DevOps and CI/CD pipeline (GitHub, BitBucket, Artifactory etc)
• Strong understanding of cloud and infrastructure components (server, storage, network, data, and applications) to deliver end-to-end cloud Infrastructure architectures and designs and recommendations
o AWS services like S3, CloudFront, Kubernetes, RDS, Data Warehouses to come up with architecture/suggestions for new use cases.
• Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
Good to have
• Experience with code quality tools, static or dynamic code analysis and compliance and undertaking and resolving issues identified from vulnerability and compliance scans of our infrastructure
• Good knowledge of REST/SOAP/JSON web service API implementation
•
Python
JenkinsRequirements:-
- Must have good understanding of Python and Shell scripting with industry standard coding conventions
- Must possess good coding debugging skills
- Experience in Design & Development of test framework
- Experience in Automation testing
- Good to have experience in Jenkins framework tool
- Good to have exposure to Continuous Integration process
- Experience in Linux and Windows OS
- Desirable to have Build & Release Process knowledge
- Experience in Automating Manual test cases
- Experienced in automating OS / FW related tasks
- Understanding of BIOS / FW QA is a strong plus
- OpenCV experience is a plus
- Good to have platform exposure
- Must have good Communication skills
- Good Leadership capabilities & collaboration capabilities, as individual will have to work with multiple teams and single handedly maintain the automation framework and enable the Manual validation team
MongoDBPython
PostgreSQL
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