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Experience: 6+ Years

Employment Type: Full-time

Responsible for client’s software architecture design. Serve as SME for the designated technology stack. Act as primary client contact for technical aspects of new technology evaluation. Design and architect network health forecast models, telemetry options, performance monitoring, failure prediction, workflow, & configuration management systems. Supervise development methodology, & review & approve final submitted code. Propose & provide technical guidance in software design process, including data modeling, data repository design, & data transformation. Provide technical guidance on the feasibility of new network management software, with consideration for its ability to scale up to meet future needs. Design, develop, & implement technology platforms to build application prototypes for management review. Develop sprint schedules and guide discussions during development sprints. Guide the team on best practices in software development, including the acquisition of test data, access to appropriate support systems & necessary infrastructure to meet client demands. Provide guidance on all major technical issues spanning multiple technology stacks, serving as client partner. Provide expert guidance on various industry best practices of process management, including ITIL, Six Sigma, & their practical implementation in a variety of industries. Design & development of specialized, enterprise-level software scripts, which are used for level 3 or 4 administration of complex communication networks involving millions of users. Design, develop, & deliver software for complex IT systems management & data management of critical & large datasets across various software development methodologies. Work across multiple teams, managing respective software deliverables concurrently. Design, develop, configure & implement various enterprise network management software & other network & systems management software across the network, server, application, security & services layers. Design & develop security protocols by thoroughly assessing access requirements. Ensure cyber security compliance when handling sensitive data. Design, develop, customize & support advanced web-based programs & applications for complex information management systems. Synthesize functional requirements into technical requirements. Plan, design, execute, & test client disaster recovery process & procedures. Responsible for seamless failover of supported applications to backup environments while meeting agreed service level agreements (SLA). Understand & develop cross-functional integrations to enable complex software applications to share & use data while maintaining data integrity. Supervise code updates from junior developers & control commit functions for the repository. Define data warehousing needs & develop data modeling & large data management technologies to support full life-cycle system development. Enable automation of repeatable actions using models to determine system behavior under altered conditions, improving performance. Work with the following: IBM Tivoli Netcool OMNIbus, WebGUI, Webtop, and Netcool Impact; Netcool Operations Insight (NOI), IBM Tivoli Network Manager (ITNM), and IBM Tivoli Monitoring (ITM); Tivoli Business Service Manager (TBSM) and ITIL Foundation; Python, Perl Scripting, Shell, and Java; SNMP, JazzSM, and IBM Tivoli Common Reporting (TCR); IBM Db2, Oracle, MySQL, and Informix; Splunk and Resolve. Other similar duties as assigned. M-F; 40 hrs/week. $180,000/year. Require Master’s in Computer Science, Information Technology, or equivalent and 6 years’ experience in the job offered or any occupation in which the required experience was gained. Employer will accept a Bachelor’s in Computer Science, Information Technology, or equivalent and 8 years’ experience in the job offered or any occupation in which the required experience was gained.Experience to include: IBM Tivoli Netcool OMNIbus, WebGUI, Webtop, and Netcool Impact; Netcool Operations Insight (NOI), IBM Tivoli Network Manager (ITNM), and IBM Tivoli Monitoring (ITM); Tivoli Business Service Manager (TBSM) and ITIL Foundation; Python, Perl Scripting, Shell, and Java; SNMP, JazzSM, and IBM Tivoli Common Reporting (TCR); IBM Db2, Oracle, MySQL, and Informix; Splunk and Resolve. Various worksites: relocation to project-based, unanticipated worksites within USA possible. Send resumes to Softility Inc., Attn: HR, 607 Herndon Pkwy, Suite 304, Herndon, VA 20170.

Experience: 6+ Years

Employment Type: Full-time

Require Master's in Computer Science, Data Science, or equivalent and 6 years’ experience in the job offered or any occupation in which the required experience was gained. Employer will accept a Bachelor’s in Computer Science, Data Science, or equivalent and 8 years’ experience in the job offered or any occupation in which the required experience was gained. Experience to include: TensorFlow and PySpark; Convolutional Neural Network (CNN) and Natural Language Processing (NLP); Logistic and Linear Regression Models; K-Means clustering; Spark, Hadoop, Hive, and Oozie; Jenkins and Selenium; Python, Java, and R; AWS Cloud; DB2, Oracle,  Tableau, Qliksense, and Qlikview. Responsible for end-to-end software and data architecture design for large-scale enterprise solutions, serving as a Subject Matter Expert (SME) for high-performance technology stacks including Python, PySpark, Hive, AWS, and GCP. Act as the primary technical expert for evaluating emerging data technologies and architecting complex network health forecast models, telemetry options, and performance monitoring systems. Provide technical leadership in feasibility studies for Network Management Software, ensuring infrastructure and data pipelines can scale to handle massive, multi-terabyte datasets across hybrid-cloud environments. Supervise the team’s development methodology, perform final code reviews, and manage commit workflows for high-volume repositories to maintain rigorous standards. Architect and govern end-to-end AI/ML pipelines, ranging from automated data integrity checks and Exploratory Data Analysis (EDA) to advanced feature engineering and scalable model deployment. Design predictive models utilizing Logistic and Linear Regression, K-means clustering, CNNs, and other leading algorithms to forecast customer satisfaction, network equipment faults, and financial claim damage. Lead the migration and optimization of ML models from on-premise clusters to hyperscaler environments, including Google Cloud, ensuring performance benchmarks and model accuracy are maintained. Implement Natural Language Processing (NLP) classifiers using TensorFlow and Jupyter Notebooks to synthesize unstructured data into actionable business intelligence. Define enterprise data warehousing needs and design sophisticated data models and repository structures utilizing Oracle, DB2, and Hive to support the full system development life cycle. Direct the design of complex data transformations and preprocessing frameworks that enable the automation of repeatable actions through models predicting system behavior in altered conditions. Synthesize functional requirements into high-level technical specifications for large-scale data mining and predictive propensity modeling. Guide teams on industry best practices for data lifecycle management, including high-fidelity test data acquisition and maintaining data integrity across integrated systems. Design and develop specialized, enterprise-level scripts (Python, Unix Shell, SQL) for the administration of complex communication networks and event-based automated response systems. Implement rapid-prototyping platforms using custom Python utilities for high-speed text classification, document comparison, and automated financial report validation. Enable continuous integration and deployment (CI/CD) for data-driven applications by monitoring cloud-based deployments and optimizing application performance benchmarks. Work on applications using: TensorFlow and PySpark; Convolutional Neural Network (CNN) and Natural Language Processing (NLP); Logistic and Linear Regression Models; K-Means clustering; Spark, Hadoop, Hive, and Oozie; Jenkins and Selenium; Python, Java, and R; AWS Cloud; DB2, Oracle,  Tableau, Qliksense, and Qlikview.  Other similar duties as assigned. $178,214/yr. Various worksites: relocation to project-based, unanticipated worksites within USA possible. Send resumes to Softility Inc., Attn: HR, 607 Herndon Pkwy, Suite 304, Herndon, VA 20170.

Experience: 6+ Years

Employment Type: Full-time

Require Master's in Computer Science, Electronic Engineering, or equivalent and 6 years’ experience in the job offered or any occupation in which the required experience was gained. Employer will accept a Bachelor’s in Computer Science, Electronic Engineering, or equivalent and 8 years’ experience in the job offered or any occupation in which the required experience was gained. Experience to include: MicroFocus OpsBridge, OpsRamp, Nexthink, vROps; IBM Tivoli Netcool Suite (OMNIbus, WebGUI, Impact, TBSM, ITNM, SSM, ITMs, ITCAM, TNPM, TADDM); CA Introscope, CA Wily Transaction Generator; BMC Remedy ARS/ITSM Solutions; Edge EnPortal, AppBoard; Linux, Windows NT, Solaris, AIX; Java Scripts, HTML, Apache, LDAP, Active Directory, TCP/IP; Multi-cloud Environments; Oracle, Sybase, MSSQL Server, MySQL, and IBM DB2. Responsible for software architecture design for customers & serve as a Subject Matter Expert for designated technology stack. Act as primary client contact for technical aspects of new technology evaluation. Design and architect network health forecast models, telemetry options, performance monitoring, failure prediction, workflow & configuration management systems. Guide the team’s development methodology & review, and approve the final submitted code. Propose & provide technical guidance in software design process, including data modeling, data repository design, & data transformation. Provide technical guidance in technology feasibility studies of new Network Management Software with consideration for its ability to scale up for future needs. Design, develop & implement technology platforms to quickly build application prototypes for management review. Develop sprint schedule based on technical plan & guide discussion in development sprints. Guide team on best practices of software development involving acquisition of test data, access to appropriate support systems & necessary infrastructure facilities to meet customer demands. Provide guidance for all major technical issues spanning various technology stacks, acting as a customer partner. Provide expert guidance on various industry best practices of process management, including ITIL, Six Sigma, & their practical implementation in a variety of industries. Design & development of specialized, enterprise-level software scripts, which are used for level 3 or 4 administration of a complex communication network involving millions of users. Software is used for: remote management of customer premises devices, tracing & alarming on issues affecting the connected device through standard & custom network protocols, event-based automated response to restore the health of affected device & reducing time to restore. Design, develop, & deliver software for other complex IT systems, including management & data management for critical & large datasets, using various software development methodologies, including Waterfall, Agile, Xtreme, etc. Work across multiple teams, managing respective software deliverables concurrently. Design, develop, configure & implement various enterprise network management software & other network & systems management software across the network, server, application, security & services layers. Design & develop security protocols through thorough assessment of access requirements. Ensure cyber security compliance of handling sensitive data. Design, develop, customize & support advanced web-based programs & applications for complex information management systems. Synthesize functional requirements into technical requirements. Plan, design, execute, & test customer disaster recovery process & procedures. Responsible for seamless failover of supported applications to backup environments while meeting agreed service level agreements (SLA). Understand & develop cross-functional integrations to enable complex software applications to share & use data while maintaining data integrity. Supervise code updates from junior developers & control commit functions for repository. Define data warehousing needs & develop data modeling & large data management technologies to support full-life-cycle system development. Enable automation of repeatable actions using models to determine system behavior in altered conditions while improving performance. Work with the following: MicroFocus OpsBridge, OpsRamp, Nexthink, vROps; IBM Tivoli Netcool Suite (OMNIbus, WebGUI, Impact, TBSM, ITNM, SSM, ITMs, ITCAM, TNPM, TADDM); CA Introscope, CA Wily Transaction Generator; BMC Remedy ARS/ITSM Solutions; Edge EnPortal, AppBoard; Linux, Windows NT, Solaris, AIX; Java Scripts, HTML, Apache, LDAP, Active Directory, TCP/IP; Multi-cloud Environments; Oracle, Sybase, MSSQL Server, MySQL, and IBM DB2. Other similar duties as assigned. $175,427/yr. Various worksites: relocation to project-based, unanticipated worksites within USA possible. Send resumes to Softility Inc., Attn: HR, 607 Herndon Pkwy, Suite 304, Herndon, VA 20170.

Experience: 3–6 Years

Location: Hyderabad (Offshore)

Shift Timings: Rotational shifts – 24/7

Role Overview

We are seeking a proactive DevOps / SRE Engineer with 3 to 6 years of experience to help manage, automate, and optimize our AWS cloud infrastructure. In this role, you will work closely with application development teams to build reliable CI/CD pipelines, containerize microservices, and ensure high availability across our production systems. You will play a key role in driving Infrastructure as Code (IaC), establishing proactive system observability, and enforcing security and cost optimization practices.

Key Responsibilities

• Cloud Infrastructure & Orchestration: Deploy, manage, and scale AWS cloud infrastructure using services such as EKS, ECS, API Gateway, and serverless architectures.
• Infrastructure as Code (IaC): Automate end-to-end cloud provisioning, configuration, and environment management using Terraform, CloudFormation, Ansible, and Packer.
• CI/CD Pipeline Management: Build, maintain, and optimize continuous integration and continuous deployment pipelines to streamline software delivery cycles.
• Monitoring, Alerting & Reliability: Maintain proactive system observability and performance monitoring using CloudWatch, Prometheus, and Grafana to optimize uptime and system health.
• Developer Collaboration & Support: Partner with development teams to integrate containerized microservices and rapidly troubleshoot build, deployment, or infrastructure bottlenecks.
• Security & Optimization: Implement DevSecOps best practices, baseline security controls, and resource utilization strategies to optimize AWS cloud spending.
• Documentation & Compliance: Maintain accurate technical documentation for system architecture, deployment processes, and standard operational workflows.

Required Technical & Professional Skills

• Cloud Experience: 3 to 6 years of hands-on experience building and managing secure, scalable cloud solutions in Amazon Web Services (AWS).
• Containers & Orchestration: Hands-on experience with containerized workloads using Docker, Amazon EKS, ECS, and microservices architectures.
• IaC & Configuration Tools: Strong proficiency in Terraform or CloudFormation for infrastructure provisioning, alongside Ansible or Packer for configuration management.
• CI/CD & Scripting: Practical experience building automation pipelines using tools like Jenkins, GitLab CI, or GitHub Actions, paired with scripting skills in Bash or Python.
• Observability & Monitoring: Proven experience setting up metrics, logs, and alerts using CloudWatch, Prometheus, and Grafana.
• Operating Systems & Web Technologies: Solid foundation in Linux administration, serverless architectures, and RESTful API Gateways.

Education & Preferred Certifications (Bonus)

• Education: Bachelor’s degree (UG) or Master’s degree (PG) in Computer Science, Information Technology, or a related field.
• Certifications: AWS Certified SysOps Administrator, AWS Certified Developer, or AWS Certified Solutions Architect – Associate.

Experience: 8–12 Years

Location: Hyderabad (Offshore)

Shift Timings: Rotational shifts – 24/7

Role Overview

We are seeking an experienced Sr. Lead DevOps to manage, optimize, and scale our large-scale, internet-facing infrastructure. In this role, you will act as a core operational authority driving continuous integration, automated deployments, cloud infrastructure management, and robust observability solutions. You will work closely with cross-functional teams to enforce cloud governance, maintain system resilience, and deliver enterprise-grade performance across 24/7 rotational operations.

Key Responsibilities

• Cloud Infrastructure & Governance: Design, build, and maintain cloud-based infrastructure solutions on AWS or GCP, ensuring adherence to strict cloud governance models.
• CI/CD & System Automation: Maintain and scale continuous integration and continuous deployment (CI/CD) pipelines, utilizing custom scripting to streamline operational workflows.
• Containerization & Orchestration: Manage containerized workloads at scale using Docker and enterprise Kubernetes platforms (EKS, GKE).
• Observability & Log Analytics: Build, tune, and maintain the ELK Stack along with log shippers to ensure comprehensive monitoring, performance tuning, and actionable alerting systems.
• Production Systems Operations: Deliver Linux system administration, index lifecycle management (ILM), and API-driven automation to ensure high availability across critical production environments.

Required Technical & Professional Skills

• SRE & Production Operations: 3+ years of hands-on production operations experience managing large-scale, Internet-facing infrastructure.
• Cloud Platforms: Direct experience building cloud solutions in AWS or Google Cloud Platform (GCP) with strong knowledge of cloud governance models.
• Linux Administration: Advanced proficiency in Linux operating systems (RHEL/CentOS/Debian) and core OS fundamentals.
• Containerization & Kubernetes: Strong hands-on experience supporting containerized workloads (Docker, EKS, GKE) and solid mastery of Kubernetes concepts (Pods, Services, ConfigMaps, Helm).
• Observability & ELK Stack: Expertise in application performance monitoring, alerting systems, and deep hands-on experience with the ELK Stack (Elasticsearch, Logstash, Kibana), log shippers (Filebeat, Fluentd, Fluent Bit), Index Lifecycle Management (ILM), and Elasticsearch tuning.
• CI/CD & Scripting: Strong skills in CI/CD pipeline automation alongside proficiency in scripting languages including Python, Bash, Perl, or JavaScript.
• APIs & Data Protocols: Working experience with REST APIs and JSON structures.

Preferred Certifications (Bonus)

• Cloud Certifications: AWS Certified Solutions Architect or GCP Cloud Engineer / Architect certifications.

Experience: 3 – 6 Years

Role Overview

As a Junior Software Engineer, you will be a crucial contributor to the design, development, and continuous deployment of our core evaluation engine module. Working under the mentorship of Senior Architects and Lead Engineers, you will help architect and build a highly resilient, event-driven ecosystem. This system is designed to ingest massive, high-velocity streams of telemetry and network events, evaluate them in real-time against complex, dynamic business policies, and accurately route candidate records to downstream operational ticketing and ITSM tools. This is a hands-on, high-impact coding role requiring solid cloud-native development skills, a strong foundation in modern software engineering principles, and the ability to deploy containerized microservices on AWS EKS alongside a distributed messaging and data storage layer. You will play a pivotal role in scaling our infrastructure to meet growing enterprise demands.

Key Responsibilities

• Event-Driven Data Ingestion: Design, develop, and maintain high-throughput, configuration-driven data ingestion pipelines that consume, normalize, and process event streams from OpenSearch and Amazon MSK (Managed Streaming for Apache Kafka), ensuring robust fault-tolerance, backpressure management, and error handling.
• Scalable Data Access Layers: Implement and optimize data access layers utilizing Amazon DynamoDB to interact with dynamic ingestion metadata. Focus on efficient partition key design and schema-less data management to support high read/write throughput.
• Microservices Development & Orchestration: Build, extensively test, and deploy resilient microservices for the primary evaluation module on AWS EKS (Kubernetes) to execute complex rule sets and policy engines. Participate in building CI/CD pipelines to ensure smooth, automated rollouts.
• Dynamic Configuration & Zero-Downtime: Write modular code that supports zero-downtime, config-driven strategy patterns, ensuring rule parameters, feature flags, and thresholds can change dynamically in production without requiring full application restarts.
• Advanced Query Optimization: Write efficient queries and interact with sophisticated metadata storage architectures leveraging a combination of DynamoDB and Amazon DocumentDB for rapid, low-latency evaluation querying and JSON document retrieval.

Required Skills & Qualifications

• Experience & Certifications: 3+ years of professional software engineering and cloud infrastructure experience with AWS Associate certification.
• Programming Proficiency: Strong coding skills in modern programming languages such as Python, Java, Node.js, or Go, with an emphasis on writing clean, maintainable, and test-driven code.
• Containerization & Kubernetes: Hands-on experience building, testing, and deploying containerized microservices using Docker and Kubernetes. Specific experience with AWS EKS is highly preferred.
• Streaming & Messaging: Strong practical and academic understanding of event-driven programming, message queues, and streaming technologies like Apache Kafka (MSK), RabbitMQ, or Amazon SQS.
• Database & Cloud Storage: Practical experience interacting with NoSQL databases (Amazon DynamoDB, DocumentDB, MongoDB) and cloud storage solutions (Amazon S3), including data modeling and performance tuning.
• Collaboration & Growth: Eagerness to learn complex system architectures, ability to clearly understand and follow architectural block diagrams, and strong teamwork skills to deliver features consistently within Agile cross-functional engineering squads.

Experience: 8–20 Years

Location: Hyderabad (Offshore)

Shift Timings: Afternoon Shifts (1:00 PM – 10:00 PM IST)

Role Overview: Lead the offshore engineering team in building and deploying a unified observability platform across production environments (GCP/Anthos clusters) and non-prod. The goal is to provide end-to-end visibility, using a modernized, open-source Open Telemetry (OTEL) stack while working to replace legacy monitoring and correlation tools.

Key Responsibilities

• Platform Architecture & Deployment: Lead the deployment of the end-to-end open-source observability stack on GCP/Anthos Kubernetes clusters.
• Logging Layer Implementation: Design and configure the logging pipeline using Data Prepper (for data enrichment), OpenSearch (for indexing and storage), OpenSearch Dashboards, and ElastAlert.
• Metrics & Distributed Tracing: Implement the observability layer to capture metrics and traces from target API clusters using OTEL Agents and Collectors, routing them to Prometheus and Grafana Tempo.
• UX & Infrastructure Monitoring: Set up Synthetic and Real User Monitoring (RUM) using K6 Synthetics, Black box Exporter, and Grafana Faro, alongside infrastructure monitoring via Node Exporter and Kube-state-metrics.
• Configuration as Code (CaC) & GitOps: Ensure all observability infrastructure, OTEL collector configurations, and dashboards are version-controlled in Git and deployed automatically using Jenkins pipelines and Terraform.
• Dash boarding & Alerting: Develop unified, SLO/SLI-driven Grafana dashboards covering the four golden signals (Latency, Errors, Traffic, and Saturation). Configure alert deduplication, correlation, and routing using Prometheus and Alert manager.
• Migration & Parity Validation: Run parallel validations to map and migrate existing New Relic dashboards/alerts and Splunk logs to the new Grafana/OpenSearch stack, ensuring full parity before legacy platform turn-down.
• Team Leadership: Mentor offshore engineers, identify and bridge skill gaps within the team, and collaborate closely with onshore leads and enterprise architects.

Required Technical & Professional Skills

• Core Observability: 8+ years of experience in observability, APM, and logging. Deep expertise in OpenTelemetry (OTEL) instrumentation (Agents/Collectors) is mandatory.
• Open-Source Stack: Strong hands-on experience with Prometheus, Grafana, Tempo, and OpenSearch/ELK stack.
• Legacy Tool Migration: Proven experience working with or migrating away from commercial tools like Splunk and New Relic.
• Cloud & Containers: Strong proficiency in Kubernetes orchestration (GCP/Anthos environment experience preferred) and micro services architecture.
• Infrastructure as Code (IaC): Advanced skills in Terraform and CI/CD pipelines (Jenkins) for automated deployments.
• Scripting & Synthetics: Experience with synthetic transaction scripting (K6, Playwright, or Puppeteer).

• Leadership: Demonstrated experience leading offshore technical teams, managing project milestones, and driving architectural best practices. Excellent communication skills for onshore-offshore coordination.

Education :Preferred any IT Background –UG OR PG

Experience: 9–12+ Years

Location: Hyderabad (Offshore)

Shift Timings: Night Shift (5:00 PM – 2:00 AM IST) or USA EST Primetime

Role Overview

We are looking for a seasoned Technical Project & Program Manager to lead, evolve, and scale our global delivery engagements and program management capabilities. Acting as a strategic advisor and delivery authority, you will bridge the gap between complex engineering execution and executive business outcomes. In this role, you will drive strategic direction, manage key stakeholders, and provide hands-on leadership during critical delivery resolutions across multi-client offshore engagements with global clients during US/overlap hours

Key Responsibilities

• Strategic Leadership: Define and execute program management frameworks and project roadmaps in alignment with client business objectives. Mentor project leads, coach delivery managers, and drive a culture of continuous improvement across Agile delivery teams.
• Technical Excellence & Governance: Oversee end-to-end delivery governance, solution feasibility, and alignment of software development architectures across multi-project environments. Guide best practices for enterprise Agile/Scrum/Hybrid methodologies, sprint planning, velocity tracking, and release management.
• Client & Stakeholder Engagement: Act as the trusted primary point of contact for executive client stakeholders. Effectively translate technical milestones, project scope, and delivery metrics into tangible business value.
• Operational Resilience: Lead resource and scope-optimization initiatives to improve overall delivery quality and schedule adherence. Provide tactical, hands-on guidance during high-severity project risks, scope changes, and critical escalations.

Required Technical & Professional Skills

• Experience Profile: 9 to 12+ years in IT, with a proven track record of leading large-scale software development initiatives and managing engineering teams/delivery programs in a fast-paced services or consulting environment handling multiple accounts simultaneously.
• Technical Roots & Architecture: Strong past background as a hands-on software developer, tech lead, or architect before transitioning into program management, enabling deep participation in architecture reviews and technical estimations.
• Program Management Ecosystem: Advanced knowledge of PM tools (Jira, Confluence, Asana, Azure DevOps), governance frameworks, project accounting, resource forecasting, and metrics tracking (burn-down charts, velocity, lead time).
• Delivery Methodologies: Deep expertise in Agile, Scrum, Kanban, and Hybrid methodologies; ability to define sprint structures, backlog prioritization, and continuous integration/continuous delivery (CI/CD) delivery pipelines from a management standpoint.
• Risk & Quality Governance: Strong background in establishing enterprise project governance, risk mitigation frameworks, release strategies, and quality assurance stacks.
• Consulting & Delivery: Exceptional decision-making capabilities under pressure, excellent presentation skills, and the flexibility to support client time zones and extended hours (including US/EU overlap hours) during critical deliverables.

Preferred Certifications (Bonus)

• PMP® (Project Management Professional)
• Agile Frameworks: PMI-ACP or Certified ScrumMaster (CSM) / SAFe Agilist
• Technical & Cloud: Cloud/Technical Certifications (AWS, Azure, GCP foundational or architecture level)

What We Offer

• Dynamic exposure to global clients and diverse technology stacks.
• Competitive compensation package with night shift / extended hours allowances.
• Accelerated career growth trajectory into Senior Program Management / Delivery Leadership roles.

Experience: 10–15 Years

Role Overview

This role will be responsible for partnering with client stakeholders at the board and executive levels to translate complex business challenges into production-ready autonomous agentic architectures. You will own the technical relationship during the discovery phase, blueprint the core reference architectures, and guide our internal engineering pods through successful implementation.

Key Responsibilities

• Solution Architecture & Technical Blueprinting: Design and document standardized, enterprise-grade Reference Architectures for multi-agent orchestration and advanced Retrieval-Augmented Generation (RAG) systems using the Claude Code or Gemini Enterprise Agent Platform. Blueprint end-to-end "Agentic Workflows," mapping out how multi-turn reasoning, persistent memory, and state management will behave in live environments. Build reusable architecture scaffolds and integration patterns that allow developers to connect agents to core enterprise systems (e.g., Splunk, Elastic, ServiceNow, Salesforce, and custom telemetry stacks). Transition seamlessly from abstract whiteboard designs to concrete implementation by writing core foundational code, configuration scripts, or orchestration loops alongside the engineering team. Act as the technical bridge between Softility’s delivery teams and Google Cloud's partner engineering group to unblock platform-level execution barriers.
• Tactical Pre-Sales & Consultative Engagement: Act as the primary technical authority during high-touch, pre-sales discovery workshops to discover, define, and scope client use cases. Conduct highly technical product demonstrations and deliver deep-dive sessions to client engineering teams, effectively neutralizing competitive technologies (e.g., OpenAI Assistants, AWS Bedrock).
• Model Optimization & Workload Selection: Evaluate enterprise tasks to select the optimal model configuration, balancing computational efficiency and accuracy. Define token budget management strategies and performance caching layers to ensure client systems scale effectively. Design benchmarking metrics to continually evaluate agent precision, grounding scores, and execution latency.
• Security, Compliance & Semantic Governance: Oversee absolute security compliance for all agent deployments, ensuring architectures adhere to Zero-Trust standards and strict data residency mandates. Design and implement Semantic Governance Layers to enforce safety guidelines, prevent hallucinations, and automate PII masking before data reaches foundational model layers.

Required Technical & Professional Skills

• Cloud Expertise (Preferably GCP): Deep architectural knowledge of Google Cloud Vertex AI (Agent Platform), BigQuery, VPC Service Controls, and IAM security frameworks.
• Agentic Frameworks & AI Tooling: Proven experience building production-level autonomous systems utilizing the Gemini ADK, LangChain, or comparable agentic libraries.
• Backend Mastery: Exceptional proficiency in Python or Node.js, combined with deep familiarity with API design, enterprise webhooks, and asynchronous message queues.
• Modern Integration Standards: Direct experience working with enterprise application API architectures (REST, gRPC) for platforms like Salesforce, ServiceNow, or large-scale Observability stacks.
• System Observability: Familiarity with OpenTelemetry (OTel), logging fabrics, and monitoring frameworks to track agent behavior in production environments.
• DevOps & CI/CD: Strong experience in modern DevOps methodologies, including infrastructure-as-code (Terraform) and automated CI/CD pipeline structures.

Preferred Certifications (Bonus)

• Google Cloud Professional Cloud Architect
• Google Cloud Professional Machine Learning Engineer