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SRM Digital LLC

SRM Digital LLC

www.srmidigital.com

8 Jobs

6 Employees

About the Company

We at SRM Digital are focused towards connecting businesses with top talent across various industries. With a Commitment to excellence, we specialize in providing tailored recruitment services that meet the unique needs of our clients & Candidates.

Listed Jobs

Company background Company brand
Company Name
SRM Digital LLC
Job Title
Senior Java Developer
Job Description
Job title: Senior Java Developer Role Summary: Design, develop, and maintain high‑performance backend services for a modern financial product. Use Java 8+, Spring Boot, microservices architecture, and event‑driven communication via Kafka or Azure Event Hubs on Azure. Participate in cloud‑native and DevOps practices to ensure scalable, secure, and reliable services. Expections: - Deliver robust, production‑grade code in an Agile environment. - Apply SOLID principles and design patterns (Circuit Breaker, Saga). - Collaborate with senior engineers, QA, and DevOps to improve quality and performance. - Maintain and evolve CI/CD pipelines, containerization, and basic Kubernetes orchestration. Key Responsibilities: - Build and maintain Spring Boot REST APIs (Java 8+). - Design and implement microservices with appropriate resiliency patterns. - Integrate event‑driven services using Kafka and Azure Event Hubs. - Conduct code reviews, refactor legacy code, and enforce quality standards. - Troubleshoot defects and performance bottlenecks. - Collaborate on CI/CD, Docker, and container orchestration. - Participate in Agile ceremonies (stand‑ups, retrospectives, sprint planning). Required Skills: - Proficiency in Java 8+, OOP, and SOLID principles. - Deep experience with Spring Boot and microservices architecture. - Hands‑on with Kafka and Azure Event Hubs event‑driven systems. - Familiarity with CI/CD tooling, Docker, and basic Kubernetes concepts. - Strong debugging, performance tuning, and problem‑solving abilities. - Knowledge of security best practices for cloud‑native services. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field (preferred). - Relevant certifications (e.g., Oracle Certified Associate/Professional Java SE, Spring Professional) are an advantage.
Berkeley heights, United states
On site
Senior
22-01-2026
Company background Company brand
Company Name
SRM Digital LLC
Job Title
Lead DevOps Architect – AWS & LaunchDarkly SME
Job Description
Job title: Lead DevOps Architect – AWS & LaunchDarkly SME Role Summary: Lead architect to design, build, and operate enterprise‑grade feature flag solutions on AWS, with deep expertise in LaunchDarkly. Own delivery for feature‑flaging and DevOps workstreams, mentor a small team, and ensure scalable, secure, production‑ready implementations. Expectations: 10+ years software/platform engineering experience, 2+ years hands‑on AWS DevOps, proven LaunchDarkly deployments, strong integration with CI/CD, and capacity to lead and own end‑to‑end delivery. Key Responsibilities: - Serve as LaunchDarkly SME, define architecture, governance, and best practices. - Design enterprise‑ready feature‑flag strategies, access models, and audit processes. - Integrate LaunchDarkly with Brave templates and CI/CD pipelines. - Build and maintain AWS infrastructure (IaC Terraform/CloudFormation). - Build CI/CD pipelines (GitHub Actions, Jenkins, GitLab). - Configure and troubleshoot LaunchDarkly SDKs and integrations. - Own delivery planning, estimation, and execution; mentor team while active contributing. - Communicate technical concepts to stakeholders, participate in architecture reviews, and lead executive discussions. Required Skills: - AWS: EC2, EKS/ECS, Lambda, IAM, VPC, CloudWatch, S3. - IaC: Terraform, CloudFormation. - CI/CD: GitHub Actions, Jenkins, GitLab. - Containerization: Docker, Kubernetes. - LaunchDarkly: flag lifecycle, SDK integration, governance, rollout. - Security, compliance, enterprise DevOps. - Leadership: team mentoring, stakeholder influence, ownership mindset, clear communication. Required Education & Certifications: Bachelor’s degree in Computer Science, Engineering or related field. Relevant certifications such as AWS Certified DevOps Engineer – Professional, AWS Certified Solutions Architect – Associate, or equivalent preferred.
Fort mill, United states
Hybrid
Senior
10-02-2026
Company background Company brand
Company Name
SRM Digital LLC
Job Title
Lead DevOps Engineer (AWS & LaunchDarkly)
Job Description
Job Title: Lead DevOps Engineer (AWS & LaunchDarkly) Role Summary: Direct DevOps strategy, driving AWS infrastructure design, CI/CD pipeline architecture, and LaunchDarkly feature flag deployments for enterprise applications. Lead automation, cost optimization, security, and reliability across multi‑cloud environments while mentoring a junior engineering team. Expectations: 10+ years in DevOps, Cloud Engineering, or SRE roles with hands‑on experience in AWS services and LaunchDarkly. Proven leadership in designing scalable cloud solutions, managing CI/CD workflows, and implementing IaC. Strong scripting, container orchestration, and DevSecOps practices. Excellent communication, problem‑solving, and team‑building skills. Key Responsibilities: - Design, deploy, and optimize scalable AWS cloud infrastructure (EC2, ECS/EKS, Lambda, S3, RDS, VPC, IAM, CloudWatch). - Architect and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI for enterprise applications. - Implement LaunchDarkly feature flag strategies to enable controlled rollouts, progressive delivery, and A/B testing. - Lead Infrastructure as Code initiatives with Terraform or CloudFormation. - Drive cloud cost, performance, reliability, and security best practices, including DeSI and DevSecOps. - Integrate blue‑green, canary, and rolling deployment methods. - Ensure system observability through logging, monitoring, and alerting. - Mentor junior engineers and establish DevOps and IaC best practices. - Support production releases and proactively troubleshoot critical incidents. Required Skills: - Expert knowledge of AWS services (EC2, ECS/EKS, Lambda, S3, RDS, CloudWatch, IAM, VPC). - Extensive LaunchDarkly experience (feature flags, progressive delivery). - Strong proficiency in CI/CD tools (Jenkins, GitHub Actions, GitLab CI). - IaC expertise, preferably Terraform; experience with CloudFormation acceptable. - Containerization (Docker) and orchestration (Kubernetes/EKS) skills. - Advanced scripting in Python and Bash. - DevSecOps implementation experience. - Performance tuning, troubleshooting, and incident management skills. - Strong leadership and communication abilities. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). - Preferred certifications: AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Kubernetes Certified Administrator, LaunchDarkly Certified Features Engineer.
Fort mill, United states
Hybrid
Senior
11-02-2026
Company background Company brand
Company Name
SRM Digital LLC
Job Title
AI/ML Architect
Job Description
**Job Title:** AI/ML Architect **Role Summary:** Senior leader responsible for designing, implementing, and governing a scalable, production‑ready AI/ML platform that serves multiple business units. Drives the transition from proof‑of‑concept projects to repeatable, governed model delivery, collaborating with product, engineering, data, security, legal, and compliance teams. **Expectations:** - Deliver a documented AI/ML reference architecture adopted enterprise‑wide within 12‑18 months. - Establish standardized environments and pipelines that accelerate model promotion from POC to production. - Reduce duplicated feature engineering and deployment effort across units. - Provide clear visibility and auditability of all production models. - Enable responsible, scalable AI delivery with measurable leadership confidence. **Key Responsibilities:** - Define end‑to‑end AI/ML reference architecture (data ingestion → model serving & monitoring). - Set standards for data storage, lineage, and separation of raw, curated, and feature‑ready datasets. - Design and implement shared platform components: feature stores, model registries, experiment tracking, and AI/ML catalogs. - Create repeatable ML delivery pipelines covering development, validation, approval, deployment (batch/real‑time), drift detection, and retraining. - Establish CI/CD and continuous training best practices for ML systems. - Define production‑readiness criteria: testing, monitoring, alerting, rollback, incident response, and governance integration. - Develop enablement assets (templates, tooling, guidelines) to assist product and engineering teams in moving models to production. - Shape long‑term operating model for AI/ML ownership between central platform and federated business units. - Communicate architectural decisions to technical and non‑technical stakeholders across the organization. **Required Skills:** - 15+ years in software engineering, data platforms, or ML engineering. - 5+ years hands‑on deploying machine‑learning systems at scale. - Proven experience designing AI/ML platforms or MLOps architectures. - Deep knowledge of ML lifecycle, data pipelines, feature engineering, and model serving patterns (batch, real‑time, APIs). - Ability to work across multiple business units and influence cross‑functional teams. - Strong communication skills for both technical and non‑technical audiences. - Experience with cloud‑native ML platforms (AWS, GCP, Azure or similar) and infrastructure. **Preferred Skills (optional but advantageous):** - Design/operation of feature stores, model registries, experiment tracking systems. - Implementation of AI governance, risk, and compliance frameworks. - Experience in regulated or data‑sensitive environments. - Building monitoring standards and observability at scale. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (required). - Advanced degree (M.S. or Ph.D.) in a relevant discipline (preferred). - Relevant certifications (e.g., AWS Certified Machine Learning – Specialty, Google Professional ML Engineer, Azure AI Engineer Associate) are a plus.
Philadelphia, United states
On site
Senior
18-02-2026