Job Description
            
                <p><p><b>Job Title : </b> Software Architect.<br/><br/> <b>Experience : </b> 15+ Years.<br/><br/> <b>Location : </b> Cochin InfoPark.<br/><br/> <b>About Us : </b><br/><br/> Abilytics, Inc.
is a technology solutions provider specializing in Platform Engineering and AI Orchestration services for modern enterprises.<br/><br/> We help organizations build AI-first platforms that seamlessly integrate agent development (native, embedded, or wrapper based), data engineering, and automation into their core operations.<br/><br/> Our expertise in cloud-native architectures and data visualization empowers enterprises to accelerate digital transformation, driving scalability, security, and business agility.<br/><br/> By combining platform engineering discipline with AI-driven orchestration, Abilytics enables customers to unlock innovation, streamline complexity, and realize measurable outcomes faster.<br/><br/> <b>Role Overview : </b><br/><br/> We are seeking a seasoned Senior Solutions Architect  Cloud with 15+ years of experience to lead the design and delivery of robust, scalable, and secure cloud architectures.<br/><br/> The ideal candidate will be a strategic thinker with deep technical expertise, capable of advising clients, guiding engineering teams, and driving innovation across cloud, AI solutions.<br/><br/> This position requires a hands-on approach, a consultative mindset, and the ability to influence technology roadmaps at enterprise scale.<br/><br/> <b>Key Responsibilities : </b><br/><br/>- Architect will be hands-on in solution design and development.<br/><br/> - Work on multiple client-specific projects, delivering tailored cloud solutions.<br/><br/> - Design and implement cloud architecture solutions (AWS, Azure, Google Cloud, or hybrid) aligned with enterprise requirements.<br/><br/> - Lead and mentor teams through the full lifecycle of cloud projects  from requirements gathering, design, deployment, to ongoing optimization.<br/><br/> - Drive cloud adoption strategies and best practices across the client organization.<br/><br/> - Ensure architecture meets scalability, security, performance, and compliance requirements.<br/><br/> - Evaluate emerging cloud technologies across AI & Platform engineering and recommend best strategies.<br/><br/> - Collaborate with stakeholders, including business leaders, engineering teams, sales, leadership teams, to ensure seamless integration and lead pre-sales technical solutioning engagements.<br/><br/> - Define and enforce cloud governance, cost management, and operational procedures.<br/><br/> - Hands-on expertise in AI-native and AI-embedded application development.<br/><br/> - Create detailed architecture diagrams, documentation, and technical presentations for executive leadership.<br/><br/> - Ensure disaster recovery, high availability, and fault tolerance are integral parts of solution designs.<br/><br/> <b>Key Qualifications : </b><br/><br/> - 15+ years of experience in IT architecture, with a strong focus on cloud-based solutions.<br/><br/> - Proven track record of designing and delivering large-scale cloud projects.<br/><br/> - Deep expertise in at least one major cloud provider (AWS, Azure, GCP) with certifications preferred (e.g., AWS Solutions Architect Professional, Azure Solutions Architect Expert).<br/><br/> - Strong development knowledge in at least two technologies, ideally Python, Java, or React.<br/><br/> - Good understanding of how public and private cloud environments operate.<br/><br/> - Experience with containerization (Docker, Kubernetes), DevOps practices, CI/CD pipelines, and Infrastructure as Code (Terraform, CloudFormation).<br/><br/> - Strong programming/scripting skills (Python, Java, etc.)<br/><br/> - Excellent written and oral communication skills, with the ability to translate technical concepts to non-technical stakeholders.<br/><br/> - Experience in cost optimization, performance tuning, and monitoring solutions in cloud environments.<br/><br/> - Ability to lead cross-functional teams and influence without direct authority.<br/><br/> <b>Preferred Skills : </b><br/><br/> - Experience in hybrid cloud, edge computing, or IoT architectures.<br/><br/> - Knowledge of machine learning workloads, data lakes, and analytics pipelines.<br/><br/> - Experience with enterprise-level migrations from on-premise to cloud environments.<br/><br/> - Familiarity with cloud-native tools, serverless architectures, and microservices frameworks.<br/><br/> - Exposure to client-facing roles, industry presentations, or technical thought leadership.<br/><br/> <b>Why Join Us : </b><br/><br/> - Own the blueprint of transformation : design and guide enterprise-scale platforms that bring together AI agents, data engineering, and cloud-native architectures.<br/><br/> - Lead with impact : influence engineering direction, mentor high-performing teams, and set technical standards that drive business outcomes.<br/><br/> - Build with innovation : experiment and deliver with cutting-edge technologies in AI, automation, and orchestration that few companies are deploying at scale today.<br/><br/> - Drive visible change : work closely with CXOs, product leaders, and partners to shape solutions that accelerate digital transformation across industries.<br/><br/> - Grow with us : be part of a high growth company where your expertise wont be just valued, it will be amplified.<br/><br/> This is an opportunity to move beyond building systems, and instead architect the platforms and AI ecosystems that will power the enterprises of tomorrow.</p><br/></p> (ref:hirist.tech)