11+ Microsoft Dynamics AX Jobs in Mumbai | Microsoft Dynamics AX Job openings in Mumbai

YOUR ROLE SPECIFICATIONS

Areas of responsibility include but not limited to:

• Create and execute a strategy and roadmap to migrate to Dynamics 365 for all business units.
• Lead and support Trade & Logistics and Manufacturing process areas in MS Dynamics AX2012, across business units in 9+ countries.
• Interact with and manage key stakeholders in Supply Chain, Manufacturing and Sales functions to ensure seamless business execution and drive enhanced value from ERP and related IT solutions through process standardization and integration.
• Responsible for managing the MS Dynamics AX upgrades, enhancements, new functionalities, business case development and performance measurement as needed by the businesses from time-to-time.
• Evaluate and drive adoption of new technologies (like Bar Code based Inventory Management, Warehouse Management Systems, EDI interfaces with customers and 3PL partners, etc.) in Supply Chain and Manufacturing processes
• Evaluate and recommend business process improvement solutions using industry best practices.
• Manage Application Management Support (through a team from our IT Partner) for T&L and Manufacturing processes of MS Dynamics AX2012 currently and Dynamics 365 subsequently, ensuring adherence to agreed SLAs.
• Drive implementation and adoption of business analytics and KPIs using solutions like Data warehouse and Qlikview.

Job 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.

DevOps Engineer

AWS Infrastructure, CI/CD & Production Operations

Mumbai (On-site) | Full-time | 2-4 years

About the role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a DevOps Engineer who will own day-to-day cloud infrastructure, deployment automation, and production operations across active customer engagements.

The mandatory requirement for this role is hands-on production experience on AWS, with infrastructure as code, container orchestration, and CI/CD pipelines owned end to end on at least one live customer workload. The role is hands-on. Expect to operate Kubernetes clusters, build CI/CD pipelines, automate environment provisioning, manage TLS and DNS, set up observability, and partner with backend and AI engineers to ship reliably. A typical week includes a Terraform refactor, a deployment pipeline build for a new service, an incident response on a production cluster, and a cost review.

Responsibilities:

• AWS infrastructure: Design and operate production infrastructure on AWS using EC2, EKS or ECS, S3, RDS, IAM, VPC, CloudFront, and Route53. Own configuration, networking, and cost.
• Infrastructure as code: Write and maintain Terraform or Pulumi modules. Drive consistency across environments and tenants through IaC rather than manual configuration.
• Kubernetes and containers: Operate production EKS clusters. Manage Helm charts, Ingress, autoscaling, secrets, and workload isolation.
• CI/CD pipelines: Build and maintain pipelines using GitHub Actions, GitLab CI, or equivalent. Include automated tests, security scans, and rollback paths.
• TLS, DNS, and CDN automation: Automate domain provisioning, TLS issuance (Let's Encrypt, cert-manager, ACM), and CDN configuration (CloudFront, Cloudflare).
• Observability and incident response: Set up monitoring, logging, and alerting using Prometheus, Grafana, ELK, Loki, or CloudWatch. Lead incident response and write postmortems.
• Secrets and security: Manage secrets through Vault, AWS Secrets Manager, or KMS. Apply least-privilege IAM and review access regularly.
• Cost monitoring: Track and optimise AWS spend across environments. Surface waste and propose remediations.
• 
  

Requirements:

• Hands-on AWS production experience (mandatory). Must have personally operated production workloads on AWS, with responsibility for IaC, deployments, and incident response on at least one live customer or internal-platform deployment. POCs and lab environments do not qualify.
• 2 to 4 years of hands-on DevOps or infrastructure experience. Candidates with slightly less experience but strong demonstrated ownership are welcome to apply.
• AWS depth. Hands-on with EC2, S3, IAM, VPC, EKS or ECS, RDS, CloudFront, and Route53. Working knowledge of CloudWatch and AWS cost tooling.
• Kubernetes in production. Hands-on operation of EKS or equivalent. Comfort with Helm, Ingress controllers, autoscaling, and resource quotas.
• Infrastructure as code. Strong with Terraform (preferred) or Pulumi. Modular code, state management, and review discipline.
• CI/CD pipelines. Production experience with GitHub Actions, GitLab CI, or equivalent. Comfort with multi-environment pipelines and release strategies.
• Scripting and automation. Strong Bash and Python (or Go) for tooling. Linux fluency at the command line.
• Observability stack. Hands-on with Prometheus, Grafana, ELK or Loki, and at least one APM tool (Datadog, New Relic, or equivalent).
• Networking, TLS, and security fundamentals. Comfortable with DNS, TLS certificate lifecycle, VPC peering, and security groups.



Nice to have: multi-tenant SaaS infrastructure experience; service mesh (Istio, Linkerd); GitOps (ArgoCD, Flux); sandboxed execution environments (Firecracker, gVisor); exposure to platform engineering or developer-platform teams.

We are seeking an experienced MLOps Architect who can drive end-to-end implementation of the proposal being prepared for the initiative and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows.

The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, and production-grade scalability patterns.

Must have skills & Qualifications:

• 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure.
• Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)
• Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon.
• Deep understanding of model lifecycle management (feature engineering->training -> registry -> deployment -> monitoring).
• Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks.
• Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance.
• Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor).
• Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment.
• Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
• Experience with feature engineering pipelines and Feature Store management.
• Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility.
• Hands-on experience with Bedrock, OpenAI, Anthropic, or Llama models.
• Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana.
• Strong foundation in Python and cloud-native development patterns.
• Solid understanding of security best practices, IAM, secrets management, and artifact governance.

Good to have skills:

• Experience with vector databases, RAG pipelines, or multi-agent AI systems.
• Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK).
• Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments.
• Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
• Knowledge of Lakehouse (Delta/Iceberg/Hudi) architecture.
• Ability to translate business goals into scalable AI/ML platform designs.
• Strong communication and cross-team collaboration skills.
• Ability to guide engineering teams through technical uncertainty and design choices.

Key Responsibilities:

• Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap.
• Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation.
• Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.).
• Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems.
• Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks.
• Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems.
• Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions.
• Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools.
• Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms.
• Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. 

Job Description

Position - SRE developer / DevOps Engineer

Location - Mumbai

Experience- 3- 10 years

About HaystackAnalytics:

HaystackAnalytics is a company working in deep technology of genomics, computing and data science for creating the first of its kind clinical reporting engine in Healthcare. We are a new but well funded company with a tremendous amount of pedigree in the team (IIT Founders, IIT & IIM core team). Some of the technologies we have created are a global first in infectious disease and chronic diagnostics. As a product company creating a huge amount of IP, our Technology and R&D team are our crown jewels. With early success of our products in India, we are now expanding to take our products to international shores. 

Inviting Passionate Engineers to join a new age enterprise:  

At HaystackAnalytics, we rely on our dynamic team of engineers to solve the many challenges and puzzles that come with our rapidly evolving stack that deals with Healthcare and Genomics.

We’re looking for full stack engineers who are passionate problem solvers, ready to work with new technologies and architectures in a forward-thinking organization that’s always pushing boundaries. Here, you will take complete, end-to-end ownership of projects across the entire stack. 

Our ideal candidate has experience building enterprise products and has understanding and experience of working with new age front end technologies, web frameworks, APIs, databases, distributed computing,back end languages, caching, security, message based architectures et al.

You’ll be joining a small team working at the forefront of new technology, solving the challenges that impact both the front end and back end architecture, and ultimately, delivering amazing global user experiences.

Objectives of this Role:

• Work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth
• Ideate and develop new product features in collaboration with domain experts in healthcare and genomics 
• Develop state of the art enterprise standard front-end and backend services
• Develop cloud platform services based on container orchestration platform 
• Continuously embrace automation for repetitive tasks
• Ensure application performance, uptime, and scale, maintaining high standards of code quality by using clean coding principles and solid design patterns 
• Build robust tech modules that are Unit Testable, Automating recurring tasks and processes  
• Engage effectively with team members and collaborate to upskill and unblock each other

Frontend Skills 

• HTML 5  
• CSS framework ( LESS/ SASS ) 
• Es6 / Typescript 
• Electron app / TAURI
• Component library ( Webcomponents / radix / material ) 
• CSS ( tailwind) 
• State management --> Redux / Zustand / Recoil 
• Build tools - > (webpack/vite/Parcel/turborepo)
• Frameworks -- > Next JS / 
• Design patterns 
• Test Automation Frameworks (cypress playwright etc )
• Functional Programming concepts  
• Scripting ( bash , python )

Backend Skills 

1. Node / Deno / bun - Express / NEST JS 
2. Language : Typescript / Python / Rust / 
3. REST / GRAPHQL 
4. SOLID Design Principles
5. Storage (mongodb/ Object Storage / postgres ) 
6. Caching ( Redis / In memory Data grid )
7. Pub sub (KAFKA / SQS / SNS / Event bridge / RabbitMQ) 
8. Container Technology ( Docker / Kubernetes )  
9. Cloud ( azure , aws , openshift ) 
10. GITOPS 
11. Automation ( terraform , Serverless ) 

Other Skills 

• Innovation and thought leadership
• UI - UX design skills  
• Interest in learning new tools, languages, workflows, and philosophies to grow
• Communication 

Job Responsibilities:

• Managing and maintaining the efficient functioning of containerized applications and systems within an organization
• Design, implement, and manage scalable Kubernetes clusters in cloud or on-premise environments
• Develop and maintain CI/CD pipelines to automate infrastructure and application deployments, and track all automation processes
• Implement workload automation using configuration management tools, as well as infrastructure as code (IaC) approaches for resource provisioning
• Monitor, troubleshoot, and optimize the performance of Kubernetes clusters and underlying cloud infrastructure
• Ensure high availability, security, and scalability of infrastructure through automation and best practices
• Establish and enforce cloud security standards, policies, and procedures Work agile technologies
• 
  

Primary Requirements:

• Kubernetes: Proven experience in managing Kubernetes clusters (min. 2-3 years)
• Linux/Unix: Proficiency in administering complex Linux infrastructures and services
• Infrastructure as Code: Hands-on experience with CM tools like Ansible, as well as the 
• knowledge of resource provisioning with Terraform or other Cloud-based utilities
• CI/CD Pipelines: Expertise in building and monitoring complex CI/CD pipelines to 
• manage the build, test, packaging, containerization and release processes of software
• Scripting & Automation: Strong scripting and process automation skills in Bash, Python
• Monitoring Tools: Experience with monitoring and logging tools (Prometheus, Grafana)
• Version Control: Proficient with Git and familiar with GitOps workflows.
• Security: Strong understanding of security best practices in cloud and containerized 
• environments.

Skills/Traits that would be an advantage:

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

THE POSITION

Ashnik is looking for experienced technology consultant to work in DevOps team in pre-sales function. The primary area of focus will be Microservices, CI/CD pipeline, Docker, Kubernetes, containerization and container security. A person in this role will be responsible for leading technical discussions with customers and partners and helping them arrive at final solution.

QUALIFICATION AND EXPERIENCE

• Engineering or equivalent degree
• Must have at least 8 years of experience in IT industry designing and delivering solutions
• Must have at least 3 years of hand-on experience of Linux and Operating system
• Must have at least 3 years of experience of working in an environment with highly virtualized or cloud based infrastructure
• Must have at least 2 years hands on experience in CI/CD pipeline, micro-services, containerization and kubernetes
• Though coding is not needed in this role, the person should have ability to understand and debug code if required
• Should be able to explain complex solution in simpler ways
• Should be ready to travel 20-40% in a month
• Should be able to engage with customers to understand the fundamental/driving requirement

DESIRED SKILLS

• Past experience of working with Docker and/or Kubernetes at Scale
• Past experience of working in a DevOps team
• Prior experience in Pre-sales role

RESPONSIBILITIES

• Own pre-sales or sales engineering responsibility to design, present, deliver technical solution
• Be the point of contact for all technical queries for Sales team and partners
• Build full-fledged solution proposals with details of implementation and scope of work for customers
• Contribute in technical writings through blogs, whitepapers, solution demos
• Make presentations at events and participate in events.
• Conduct customer workshops to educate them about features in Docker Enterprise Edition
• Coordinate technical escalations with principal vendor
• Get an understanding of various other components and considerations involved in the areas mentioned above
• Be able to articulate value of technology vendor’s products that Ashnik is partnering with eg.  Docker, Sysdig, Hashicorp, Ansible, Jenkins etc.
• Work with partners and sales team for responding to RFPs and tenders

WHAT IS IN IT FOR YOU?

You would be adding a great experience of working with a leading open source solutions company in South East Asia region to your career. You would get to learn from the leaders and grow in the industry. This would be a great opportunity for you to grow in your career through continuous learning, adding depth and breadth of technologies. Since we work with leading open source technologies and engage with large enterprises, it creates enormous possibilities for career growth for our team. Not to mention that our people find the journey with Ashnik to be exciting and a fulfilling experience.

1. GCP Cloud experience mandatory
2. CICD - Azure DevOps
3. IaC tools – Terraform
4. Experience with IAM / Access Management within cloud
5. Networking / Firewalls
6. Kubernetes / Helm / Istio