IOT Engineer

• Design and implement scalable IoT solutions from sensor to cloud, ensuring seamless integration between

vehicle hardware (fuel sensors, GPS trackers, OBD devices) and the Anytime Diesel platform

• Integrate industrial and automotive sensors, microcontrollers, and gateways with the platform

• Develop, optimize, and troubleshoot data flow using protocols such as CAN bus, Modbus, RS485, TCP, and

RTU

• Manage the full IoT device lifecycle across the fleet — provisioning, remote configuration, health monitoring,

and OTA/FOTA firmware updates

• Collaborate with software, data, and operations teams to define data models and ensure clean data ingestion for

fleet analytics

• Conduct testing, debugging, and performance analysis of embedded firmware and IoT systems using tools like

oscilloscopes and logic analyzers

• Create technical documentation — architecture diagrams, API specs, and deployment guides

Position: Cloud Infrastructure & Migration SME/Tech Lead (L3) | Total IT Experience: 8-12 Years

Relevant Cloud Experience: 6+ Years

Job Summary:

We are seeking a highly experienced Cloud Infrastructure & Migration SME (L3) to design, implement, secure, and optimize enterprise-scale cloud and hybrid infrastructure environments. The candidate will serve as the primary SME responsible for cloud transformation, datacentre migration, infrastructure modernization, governance, security, and operational excellence across cloud and on-premises platforms.

The ideal candidate will possess deep expertise in Azure cloud technologies along with exposure to other public cloud platforms, cloud infrastructure, migration strategies, landing zone implementation, security frameworks, hybrid networking, disaster recovery, and automation. The role requires strong experience in assessing on-premises infrastructure and applications, planning migration and modernization initiatives, and delivering secure, scalable, resilient, and cost-effective cloud solutions across business-critical environments.

Key Responsibilities:

• Design, implement, and support secure, scalable, and highly available cloud and hybrid infrastructure environments, primarily focused on Microsoft Azure with exposure to AWS.
• Design and implement Landing Zones, cloud governance frameworks, management hierarchies, security controls, compliance standards, and operational guardrails.
• Lead enterprise storage transformation initiatives including Azure Storage services, data lifecycle management, and large-scale NAS-to-Blob/File Share migration programs.
• Lead cloud transformation and datacentre migration initiatives, including discovery, assessments, dependency mapping, migration planning, P2V, Virtual-to-Cloud and On-Premises-to-Cloud migrations, validation, cutover, and stabilization.
• Design and implement enterprise security and identity controls covering Microsoft Entra ID, Active Directory, identity governance, Zero Trust principles, security hardening, and compliance requirements.
• Design and support cloud networking, hybrid connectivity, network segmentation, private connectivity, DNS, routing, and secure access architectures.
• Build and manage cloud infrastructure platforms including compute, backup, disaster recovery, business continuity, high availability, and performance optimization to ensure operational resilience.
• Enable and support Azure database PaaS implementations, including migration readiness, Private Endpoint connectivity, security, and operational handover to database teams.
• Design, automate, and manage infrastructure using Infrastructure-as-Code (IaC), cloud automation, and DevOps best practices using Terraform, PowerShell, and Azure-native tooling.
• Implement monitoring, observability, alerting, capacity planning, and operational reporting capabilities to maintain infrastructure health, service reliability, and operational excellence.
• Provide L3 support, lead major incident resolution and RCAs, and drive continuous service improvement initiatives across cloud and infrastructure platforms.
• Collaborate with application, database, infrastructure, networking, security, and cloud teams to deliver reliable, secure, and cost-effective cloud solutions.
• Create and maintain architecture documentation, migration runbooks, standards, operational procedures, governance artefacts, and infrastructure readiness assessments.

Experience and Qualification Requirements

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related discipline.
• 8-12 years of IT experience, including 6+ years of hands-on Cloud Infrastructure and Migration experience, primarily within Microsoft Azure environments.
• Proven experience leading cloud transformation, datacentre migration, infrastructure modernization, and cloud adoption programs across enterprise environments.
• Strong expertise in enterprise cloud and hybrid infrastructure, cloud architecture, Landing Zones, governance, security, networking, identity management, disaster recovery, and operational excellence.
• Experience performing application and infrastructure assessments, dependency mapping, workload rationalization, and migration planning for cloud transformation initiatives.
• Strong experience with Windows Server, Active Directory, Microsoft Entra ID, virtualization platforms, hybrid infrastructure, and cloud operations.
• Experience delivering P2V, Virtual-to-Cloud, and On-Premises-to-Cloud migrations, including migration validation, cutover planning, and operational stabilization.
• Hands-on experience with Infrastructure-as-Code (Terraform, Bicep, ARM Templates), cloud automation, and operational tooling.
• Experience supporting Azure SQL services, cloud storage platforms, hybrid connectivity, monitoring, backup, and resilience frameworks.
• Exposure to AWS or other public cloud platforms and hybrid/multi-cloud environments is desirable.
• Experience working within managed services, cloud operations, or large-scale transformation programs, with strong stakeholder management, troubleshooting, and technical leadership capabilities.

Required Skills & Certifications

• Microsoft Azure Administrator Associate (AZ-104) – Mandatory
• Microsoft Azure Solutions Architect Expert (AZ-305) - mandatory
• AWS Certified Solution Architect - Preferred
• HashiCorp Terraform Associate - Optional

Key Competencies

• Strong system integration, analytical and troubleshooting skills
• Ability to manage business-critical production environments
• Leadership and mentoring capability
• Excellent communication and stakeholder management skills
• Proactive approach toward automation and continuous improvement

Work/ Roaster Requirement:

• Willingness to work in UK / US aligned shifts based on project requirements.
• Participation in on-call support and major incident response activities.
• Ability to operate in a fast-paced managed services environment.

Ideal Candidate Profile

A hands-on Cloud Infrastructure & Migration SME with expertise in cloud transformation, datacentre migration, hybrid infrastructure, governance, security, and operational excellence. The ideal candidate combines deep cloud infrastructure knowledge with strong migration and modernization experience to deliver secure, resilient, and cost-effective enterprise cloud solutions.

Job Description: 

Lead regional transformation programs, driving the entire solution architecture lifecycle, 

from conceptualization to execution, with a focus on agile and DevOps practices. 

Accountable for leading the IT Architecture for all projects and programs, focusing on 

innovative business and IT solutions in the insurance domain, such as new-age digital 

platforms, cloud-native applications, AI/ML-powered decision-making, and data-driven 

insights.

Preferred skills  

• Demonstrated expertise in developing cloud-native, microservices-based, and API

driven insurance solutions, leveraging modern architectural patterns and emerging 

technologies such as AI/ML, big data, and IoT. 

• Thorough understanding of common patterns, frameworks, and reference 

architectures for the Insurance domain, with a focus on digital transformation and 

innovation. 

• Proven experience in leading regional transformation programs, driving the adoption 

of agile and DevOps practices. 

• Asia regional experience is an advantage.

Qualifications 

Minimum Bachelor's degree, preferably with a Master's degree in Computer Science, 

Engineering, or a related discipline. 

• 15+ years of IT experience, with a minimum of 7+ years in the insurance industry, 

focusing on the application of emerging technologies.

We're hiring a Cloud Architect (Contract) to work with our Equity Partners who builds profitable growth by acquiring and operating enterprise software companies. Refining a proprietary operating model across 40+ acquisitions and two decades of hands-on experience, now supercharged by our patented agentic AI platform . In this role, you'll take full architectural control of our CI/CD, observability, and event streaming infrastructure, build the standards every new acquisition plugs into, and use AI-assisted automation to keep 20+ products reliable without proportionally scaling headcount.

Job title: Cloud/Platform Architect (SRE)

Type: Global Remote | Contract

What You Bring

• 8–12 years in platform engineering, DevOps, or SRE, with growing ownership over time
• Deep Terraform experience across multi-account, multi-env setups
• Real production experience with event streaming at scale
• Hands-on Grafana, Prometheus, Loki, and strong AWS depth (ECS, EKS, IAM, VPC, RDS)
• SRE fundamentals: SLOs, error budgets, on-call design, post-mortems
• Bonus: acquisition or greenfield platform-building experience

Roles and Responsibilities

• Own everything outside core AWS infra: CI/CD, observability, event streaming, deployment, incidents
• Define the standards every future acquisition will plug into
• Keep 20+ enterprise products running at serious scale (millions–billions of requests)
• Build self-service tooling so product teams never wait on you
• Use AI/automation to kill toil — not to replace engineering judgement

Ready to build the platform that scales an entire portfolio? — let's connect.

Job Summary

We are looking for an experienced AWS Cloud Engineer with strong expertise in AWS infrastructure, deployment, migration, and cloud operations. The candidate should have hands-on experience managing AWS services such as EC2, EBS, S3, EFS, and FSx, along with infrastructure provisioning, migration, troubleshooting, and optimization.

Key Responsibilities

• Design, deploy, configure, and manage AWS infrastructure environments.
• Perform application and infrastructure migration to AWS.
• Provision and manage EC2 instances, including configuration, scaling, patching, and troubleshooting.
• Manage EBS volumes, snapshots, backups, and storage performance.
• Configure and administer S3 buckets, storage policies, lifecycle management, and access controls.
• Manage EFS for scalable shared file storage.
• Implement and manage Amazon FSx file systems based on application requirements.
• Monitor AWS infrastructure performance, availability, and capacity.
• Troubleshoot infrastructure, networking, storage, and deployment-related issues.
• Implement security best practices including IAM, security groups, encryption, and access controls.
• Support backup, disaster recovery, high availability, and business continuity requirements.
• Optimize AWS resources for performance, scalability, reliability, and cost.

Mandatory Skills

• Strong hands-on experience in AWS Cloud Infrastructure.
• Expertise in EC2, EBS, S3, EFS, and FSx.
• Experience in AWS deployment and migration projects.
• Strong knowledge of AWS networking concepts such as VPC, Subnets, Route Tables, Security Groups, and Load Balancers.
• Experience with IAM and AWS security best practices.
• Good knowledge of AWS monitoring and troubleshooting.
• Experience with cloud infrastructure automation using Terraform or CloudFormation is preferred.
• Strong Linux administration and troubleshooting skills.
• Good understanding of backup, disaster recovery, and high-availability concepts

Greetings from zealous sevices!

GoLang (Soln Architect) -(9 AM to 6PM) 

Experience: 10-12 Yrs 

Need a senior Solution Architect - No BGV - ok with consultants 

Own end-to-end solution architecture for a cloud-based cybersecurity platform operating at massive scale (millions of assets), spanning multiple product modules and a broad third-party integration ecosystem.

What They'll Do 

Define and own the overall solution architecture across multiple product modules (e.g., detection, response, asset inventory, reporting), ensuring they work as a coherent, scalable system rather than disconnected parts 

Design for scale: architecture that reliably handles millions of assets/endpoints with predictable performance, cost, and reliability as volume grows 

Lead cloud infrastructure architecture decisions, compute, storage, networking, multi-region/multi-tenant strategy, disaster recovery 

Architect and govern third-party integrations (SIEM/SOAR, ticketing, identity providers, cloud provider APIs, threat intel feeds, etc.), define integration patterns, data contracts, and reusable frameworks rather than one-off connections 

Create and maintain architecture roadmaps, capacity plans, and technical strategy aligned with product/business roadmap 

Set architectural standards and guardrails (scalability, security, data flow, API design) across engineering teams 

Act as the technical bridge between engineering, product, security, and infrastructure/DevOps teams 

Conduct architecture reviews, threat-model system designs, and identify scaling bottlenecks or single points of failure before they hurt production 

Own key non-functional requirements: performance, availability, security, cost-efficiency, compliance 

Support presales/enterprise customer conversations on architecture, especially for large or complex deployments 

Evaluate and select core technologies (data stores, messaging systems, orchestration, IaC tooling) 

What They Should Have 

8–12+ years in software/infra engineering, with 4+ years specifically in a solution/enterprise architect role 

Proven experience architecting systems at scale (millions of records/assets/events), not just designing on paper, but having operated such systems in production 

Deep cloud architecture expertise (AWS/GCP/Azure), multi-account/multi-tenant design, cost optimization, networking, IAM 

Strong grasp of distributed systems patterns: data partitioning, eventual consistency, event-driven architecture, caching strategies

Experience designing integration architectures (APIs, webhooks, message queues) across many heterogeneous third-party systems 

Security architecture fluency,this is a security product, so the architect must think adversarially about their own system 

Ability to produce architecture documentation (C4 diagrams, ADRs, data flow diagrams) that both engineers and executives can use 

Track record of cross-functional influence, able to align multiple engineering teams around a shared architecture without direct authority 

Cybersecurity domain knowledge (SIEM/EDR/CNAPP/CSPM concepts, threat detection pipelines), or equivalent adjacent domain with fast ramp-up ability 

Nice to Have 

Experience with specific integration ecosystems relevant to your product (e.g., Splunk, ServiceNow, Okta, AWS Security Hub) 

Familiarity with IaC (Terraform), service mesh, and Kubernetes at scale Enterprise/regulated-industry experience (SOC 2, FedRAMP, ISO 27001) shaping architecture decisions 

Prior experience scaling a product from ""hundreds of thousands"" to ""tens of millions"" of managed assets

AWS Delivery Lead

Location: Mumbai / Bangalore / Gurgaon / Hyderabad 

Role Summary 

The AWS Practice Lead is a senior technical leader responsible for driving AWS architecture, delivery excellence, customer engagement, and practice growth at AuxoAI. This role involves designing enterprise-scale cloud and AI solutions, leading cross-functional teams, and working closely with AWS stakeholders to position AuxoAI as a leading Enterprise AI and Cloud Transformation partner. 

Key Responsibilities 

1. Technical Leadership 

• Define and drive AWS architecture strategy across engagements 
• Design scalable, secure, resilient, and cost-effective solutions 
• Establish architecture standards, governance, and best practices 
• Lead architecture reviews and provide oversight on complex programs 

2. Delivery Leadership 

• Partner with delivery and account teams to ensure successful execution 
• Guide engineering teams on technical decisions and challenges 
• Ensure delivery quality aligned with AWS Well-Architected principles 
• Identify and mitigate risks across projects 

3. AWS Partnership & Customer Engagement 

• Act as the technical lead for AWS partnership initiatives 
• Collaborate with AWS teams on joint opportunities 
• Lead customer workshops, executive briefings, and solution design sessions 
• Support pre-sales, proposals, and technical presentations 

4. AI & Data Innovation 

• Lead AI/ML, Generative AI, and data analytics solutions on AWS 
• Architect modern AI applications using AWS services (e.g., Bedrock, SageMaker) 
• Advise customers on AI adoption, modernization, and data strategy 
• Drive innovations in GenAI, Agentic AI, and automation 

5. Practice Building 

• Build and mentor AWS architecture and engineering teams 
• Drive certifications and skill development 
• Create reusable frameworks, accelerators, and best practices 
• Support hiring and growth of the AWS practice 

Required Qualifications 

Experience 

• 12+ years in cloud architecture / consulting / enterprise technology 
• 5+ years of hands-on AWS architecture experience 
• Proven expertise in large-scale cloud transformation programs 
• Strong stakeholder management and consulting skills 

Technical Skills 

• AWS Core: EC2, S3, RDS, VPC, IAM, Route 53, ELB, Control Tower 
• Cloud Native & DevOps: EKS, ECS, Lambda, API Gateway, Terraform, CI/CD 
• Data & Analytics: Redshift, Glue, Athena, EMR, Kinesis 
• Security & Governance: Security Hub, GuardDuty, KMS, CloudTrail 
• AI/ML & GenAI: Bedrock, SageMaker, LLMs, RAG, vector DBs, MLOps 

Leadership Skills 

• Strong communication and executive presentation abilities 
• Experience leading workshops and influencing stakeholders 
• Proven team mentoring and leadership capabilities 
• Customer-centric mindset with strong business acumen 

Preferred Qualifications 

• AWS Certifications (Solutions Architect Professional, DevOps, ML, Security) 
• Experience with AWS Partner Network (APN) and co-sell programs 
• Multi-cloud exposure (Azure/GCP) 
• Experience delivering AI/GenAI solutions for enterprise clients 
• Exposure to regulated industries (BFSI, Healthcare, Telecom, etc.) 

Success Metrics 

• Successful delivery of strategic AWS engagements 
• Growth in AWS services revenue and customer satisfaction 
• Expansion of AWS partnerships and go-to-market initiatives 
• Increase in AWS-certified talent and reusable solution assets 
• Establishment of AuxoAI as a trusted AWS & AI transformation partner 

Job Description: Lead - Cloud Engineering (AWS / Azure)

Role Title: Lead - Cloud Engineering

Experience Level: 10+ Years

Domain Focus: Healthcare AI & Cloud Infrastructure

Location: Remote

Job Overview

We are seeking an experienced Lead - Cloud Engineering with over 10 years of IT experience to lead our cloud strategy, architecture, and infrastructure teams. In this role, you will oversee end-to-end cloud deployment, multi-cloud migration, and scalable architecture designed to support cutting-edge Generative AI applications in the healthcare technology domain.

The ideal candidate brings deep technical expertise in both AWS and Azure, strong hands-on capability in cloud infrastructure, and proven leadership experience driving security, compliance, and team growth.

Key Responsibilities

Cloud Architecture & Migration

• Lead the architecture, design, and execution of cloud migrations, deployments, and modernizations across AWS and Azure environments.
• Drive Infrastructure as Code (IaC) standards using Terraform, CloudFormation, or Bicep to ensure scalable, automated infrastructure provisioning.
• Build high-availability, low-latency architectures optimized for data-intensive Generative AI and Machine Learning workloads.

Security & Healthcare Compliance

• Enforce healthcare security standards including HIPAA, HITRUST, SOC 2, and data governance best practices across all cloud assets.
• Implement Zero-Trust security, Identity Access Management (IAM), data encryption key management, and continuous vulnerability monitoring.

Leadership & Team Management

• Manage, mentor, and scale a high-performing team of DevOps, Cloud, and SRE Engineers.
• Drive Agile workflows, sprint planning, incident response frameworks, and SLA compliance.
• Collaborate closely with Data Engineering, AI/ML, and Software Product teams to align infrastructure with business roadmaps.

Operations & FinOps

• Establish cloud cost optimization strategies (FinOps) to manage computing costs associated with AI models and large-scale data processing.
• Manage monitoring, alerting, and telemetry frameworks (e.g., Prometheus, Datadog, CloudWatch) to ensure 99.99% uptime.

Key Requirements

• Experience: 10+ years of overall IT experience with at least 5+ years in a cloud leadership or lead architect role.
• Cloud Platforms: Advanced hands-on expertise with both AWS (e.g., EC2, S3, EKS, Bedrock, SageMaker) and Azure (e.g., AKS, Azure OpenAI, Blob, Virtual Machines).
• DevOps & IaC: Strong background in Terraform, Docker, Kubernetes, CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).
• Domain Knowledge: Prior experience building or managing cloud environments within Healthcare, Life Sciences, or HealthTech is strongly preferred.
• AI/ML Familiarity: Experience supporting cloud infrastructure for machine learning pipelines, LLM deployments, or GPU compute management.
• Certifications (Preferred): AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, or Certified Kubernetes Administrator (CKA).

Experience: 4–6 Years

Domain: Automotive IoT | Connected Vehicles | Firmware & OTA

Core Stack: Rust | AWS | IoT Core | Apache Kafka | MemoryDB

Key Responsibilities  

OTA & Firmware Lifecycle  

• Co-own OTA firmware rollout operations across multi-ECU connected vehicle architectures.
• Design automated mechanisms to detect update failures, network interruptions, verification errors, and stalled deployments.
• Implement deterministic retry, recovery, and rollback mechanisms to ensure reliable firmware updates without vehicle bricking.
• Ensure firmware package integrity, signature validation, and data security throughout the OTA pipeline.

Data Engineering & Telemetry  

• Design and maintain real-time streaming pipelines for vehicle telemetry, heartbeats, OTA campaign status, and ECU state changes.
• Build high-throughput data services and workers using Rust for payload routing, processing, and verification.
• Use Apache Kafka and AWS IoT Core for real-time data ingestion and event streaming.
• Leverage AWS MemoryDB for Redis for low-latency fleet state, campaign progression, and session management.
• Build resilient pipelines capable of handling intermittent connectivity, noisy networks, and out-of-order data.

Monitoring & Analytics  

• Build real-time dashboards for fleet health, firmware versions, OTA campaigns, and update progress.
• Define and monitor key OTA metrics including success/failure rates, retry rates, failure categories, and completion time.
• Implement automated alerting and anomaly detection for unexpected failure spikes during staged or canary rollouts.
• Analyze logs, traces, and telemetry data to identify campaign bottlenecks, telemetry loss, and hardware-related failures.

Required Skills  

Mandatory  

• 4–6 years of experience in Data Engineering, Software Engineering, or IoT Backend Engineering.
• Strong hands-on experience with Rust for backend/data processing applications.
• Experience with AWS, particularly IoT Core, S3, ECS/EKS, and Lambda.
• Strong experience with Apache Kafka and real-time data pipelines.
• Hands-on experience with AWS MemoryDB for Redis or Redis Enterprise.
• Working knowledge of Python and SQL.
• Experience with MQTT, WebSockets, and HTTP/S protocols.
• Strong understanding of distributed systems, streaming data, and resilient data pipelines.

Preferred  

• Experience with firmware lifecycle management and OTA systems.
• Exposure to connected vehicles, automotive IoT, telemetry platforms, or connected hardware fleets.
• Experience with device shadows and fleet/device state management.
• Experience building telemetry dashboards using Power BI, Apache Superset, or custom dashboards.
• Experience with staged/canary deployments and automated failure recovery.

Primary Technology Stack  

• Languages: Rust, Python, SQL
• Cloud: AWS, IoT Core, S3, ECS/EKS, Lambda
• Streaming: Apache Kafka
• Caching & State: AWS MemoryDB for Redis, Redis
• IoT Protocols: MQTT, WebSockets, HTTP/S
• Analytics & Visualization: Power BI, Apache Superset
• Domain: Automotive IoT, Vehicle Telemetry, OTA, Firmware Management

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

Legacy infrastructure doesn't retire itself. Someone has to build the pipelines, rehearse the cutover, and carry the release into production  and that's this seat. As a Senior AWS DevOps Engineer, you serve our application and infrastructure modernization work: you own build and release cycles for customer projects, land migrations from legacy hardware to AWS, and make deployments boring in the best sense of the word.

Agents change what this job looks like day to day. Aedeon and automation handle the repetitive discovery, mapping, and validation work that used to eat engineer hours. That leaves you the parts that actually need a senior engineer: infrastructure architecture, risk tradeoffs, release judgment, and the operational standards the whole team ships against. You'll work client-facing, embedded with customer teams, and the delivery commitment is one you carry personally.

What we are looking for?

• 4+ years with Terraform for Infrastructure as Code (IaC) including modules, remote state, state management, imports and multi account providers.
• Experience in designing highly available and secure AWS architecture within strong understanding of RTO/RPO and DR Strategies.
• 4+ years in configuration management and systems engineering, supporting large-scale Agile environments.
• 4+ years of Linux or Windows administration.
• 4+ years working with Git, with a solid grasp of branching and merging strategies.
• 4+ years hands-on with AWS infrastructure and platform services.
• 2+ years with cloud automation tools such as Ansible or Chef.
• 2+ years with container orchestration, Kubernetes (EKS), AWS ECS, and Docker.
• A proactive, solutions-oriented approach and a drive to improve reliability and scalability.

What you will do?

• Automate infrastructure creation with Terraform and AWS CloudFormation — infrastructure as code, not tickets and toil.
• Own application configuration management and drive Infrastructure as Code through deployment tooling.
• Own the build and release cycle for customer projects, end to end.
• Share responsibility for deploying releases and for operations and maintenance work.
• Improve the operations infrastructure we ship with — Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools like Graphite and Grafana.
• Support the engineering team operationally and help migrate legacy infrastructure to the cloud — retiring the old systems, not just standing up new ones.
• Establish and enforce operational best practices, and hold releases to them.
• Help hire culturally aligned engineers and mentor them as they grow.
• Work with the founders on team strategy and long-term technical planning.
• Work across distributed teams in the US and India, and with customer SMEs, to keep the business logic honest through migration.